Estimation method, selection method, estimation support tool, estimation method, screening method, method for manufacturing cosmetics or supplements, and method for manufacturing scalp cosmetics or scalp supplements.

Abstract

Providing novel estimation methods, selection methods, estimation support tools, estimation methods, screening methods, methods for manufacturing cosmetics or supplements, and methods for manufacturing scalp cosmetics or scalp supplements. [Solution] Based on the color of the subject's scalp, the physical condition of the subject other than the color of the scalp is estimated, or based on the physical condition of the subject other than the color of the scalp, the color of the subject's scalp is estimated.

Description

[Technical Field]

[0001] The present invention relates to estimation methods, selection methods, estimation support tools, estimation methods, screening methods, methods for producing cosmetics or supplements, and methods for producing scalp cosmetics or scalp supplements. [Background technology]

[0002] Various estimation and diagnostic methods have been considered to enable objective evaluation of the physical condition. For example, according to Patent Document 1 (Japanese Patent Publication No. 2019-216652), it has been reported that skin diagnosis is possible by focusing on the bias in the types of bacteria present in the skin's bacterial flora. [Prior art documents] [Patent Documents]

[0003] [Patent Document 1] Japanese Patent Publication No. 2019-216652 [Overview of the Initiative] [Problems that the invention aims to solve]

[0004] Generally, the condition of the body, including scalp color, is evaluated based on the results of an analysis of the body itself that is being assessed.

[0005] On the other hand, there is a need for proposals for new estimation methods for scalp color, or other physical conditions, that do not rely on these conventional methods.

[0006] In view of the above circumstances, the present invention aims to provide a novel estimation method, selection method, estimation support tool, estimation method, screening method, method for manufacturing cosmetics or supplements, and method for manufacturing scalp cosmetics or scalp supplements. [Means for solving the problem]

[0007] The inventors diligently investigated factors that correlate with scalp color. As a result, they novelly discovered that scalp color is related to other bodily conditions. Focusing on using this relationship as a method for estimating other bodily conditions or scalp color, the inventors completed the present invention.

[0008] The present invention includes the following inventions [1] to

[20] .

[0009] [1] The estimation method either estimates the subject's physical condition other than the subject's scalp color based on the subject's scalp color, or estimates the subject's scalp color based on the subject's physical condition other than the subject's scalp color.

[0010] The estimation method in [2] is the estimation method in [1] above, wherein the scalp color includes at least one of the following: scalp brightness, scalp redness, and scalp yellowness.

[0011] The estimation method in [3] is the estimation method in [1] or [2], wherein the physical condition other than scalp color includes at least one of the following: the condition of the hair, the condition of the skin of the face, the condition of the skin of the body other than the face and head, and the condition of the internal organs.

[0012] The estimation method in [4] is an estimation method selected from [1] to [3], wherein scalp color includes scalp brightness, and other physical conditions include at least one of hair hardness, cheek brightness, cheek melanin level, cheek transepidermal water loss, cheek elasticity, cheek sagging level, crow's feet sagging level, corner of the mouth sagging level, number of facial pores, area of ​​brown spots on the face, area of ​​UV spots on the face, area of ​​facial wrinkles, facial roughness, arm brightness, body fat percentage, visceral fat index, basal metabolic rate relative to body weight, bone mass relative to body weight, water content relative to body weight, degree of vascular aging, and vascular age.

[0013] The estimation method of [5] is an estimation method selected from [1] to [3], wherein the scalp color includes redness of the scalp, and the physical conditions other than the scalp color include at least any one of hair curl level, hair hardness, sagging level of the outer corner of the eye, arm moisture content, arm transepidermal water loss, BMI, body fat percentage, visceral fat index, muscle mass percentage, basal metabolic rate relative to body weight, bone mass relative to body weight, body water content relative to body weight, and vascular age.

[0014] The estimation method of [6] is an estimation method selected from [1] to [3], wherein the scalp color includes yellowness of the scalp, and the physical conditions other than the scalp color include at least any one of forehead yellowness, forehead moisture content, cheek brightness, cheek yellowness, sagging level of the outer corner of the eye, sagging level of the mouth corner, number of facial pores, brown spot area on the face, arm yellowness, bone mass relative to body weight, vascular aging degree, and vascular age.

[0015] The estimation method of [7] is an estimation method selected from [1] to [3], wherein the subject is in their 20s or 30s, the scalp color includes brightness of the scalp, and the physical conditions other than the scalp color include at least any one of forehead yellowness, facial wrinkle area, basal metabolic rate relative to body weight, bone mass relative to body weight, and vascular age.

[0016] The estimation method of [8] is an estimation method selected from [1] to [3], wherein the subject is in their 20s or 30s, the scalp color includes redness of the scalp, and the physical conditions other than the scalp color include at least any one of body fat percentage, muscle mass percentage, and body water content relative to body weight.

[0017] The estimation method of [9] is an estimation method selected from [1] to [3], wherein the subject is in their 20s or 30s, the scalp color includes yellowness of the scalp, and the physical conditions other than the scalp color include at least any one of forehead redness, forehead yellowness, forehead hemoglobin level, cheek redness, cheek yellowness, facial erythema area, arm redness, arm yellowness, BMI, vascular aging degree, and vascular age.

[0018]

[10] The estimation method is selected from [1] to [3], wherein the subject is 40 or 50 years of age, scalp color includes scalp brightness, and other physical conditions include at least one of hair stiffness, crow's feet level, arm melanin level, basal metabolic rate, and bone mass relative to body weight.

[0019]

[11] The estimation method is selected from [1] to [3], wherein the subject is 40 or 50 years old, scalp color includes scalp redness, and other physical conditions include at least one of hair curl level, facial pore area, arm moisture content, and bone mass relative to body weight.

[0020]

[12] The estimation method is selected from [1] to [3], wherein the subject is in their 40s or 50s, scalp color includes yellowness of the scalp, and other physical conditions include at least one of the following: forehead moisture content, cheek yellowness, transepidermal water loss from the cheeks, and visceral fat index.

[0021] The selection method in

[13] involves selecting at least one of the following cosmetics, supplements, makeup application methods, treatment methods, or lifestyle habits to recommend to the subject, based on the estimated results of the physical condition other than scalp color obtained by any of the estimation methods in [1] to

[12] , or selecting at least one of the following scalp cosmetics or scalp supplements to recommend to the subject, based on the estimated results of the scalp color obtained by any of the estimation methods in [1] to

[12] .

[0022]

[14] The estimation support tool is an estimation support tool that assists in estimating the physical condition of a subject other than the color of their scalp, and comprises an acquisition unit, a storage unit, an estimation unit, and an output unit. The acquisition unit acquires information indicating the color of the subject's scalp. The storage unit stores information that serves as a comparison standard for the scalp color. The estimation unit identifies estimated information about the physical condition of the subject other than the color of their scalp based on a comparison between the information acquired by the acquisition unit and the comparison standard information. The output unit outputs the estimated information.

[0023]

[15] The estimation support tool is an estimation support tool that assists in estimating the scalp color of a subject, and comprises an acquisition unit, a storage unit, an estimation unit, and an output unit. The acquisition unit acquires information indicating the subject's physical condition other than the scalp color. The storage unit stores information that serves as a comparison standard for the physical condition other than the scalp color. The estimation unit identifies estimated information for the subject's scalp color based on a comparison between the information acquired by the acquisition unit and the comparison standard information. The output unit outputs the estimated information.

[0024] The estimation method

[16] uses the estimation support tools

[14] or

[15] to estimate the subject's physical condition other than scalp color, or the scalp color.

[0025]

[17] The screening method involves selecting an active ingredient in a cosmetic or supplement, or an effective cosmetic method, an effective treatment method, or an effective lifestyle, based on the color of the scalp before and after the use of a cosmetic or supplement containing a candidate ingredient, or a change to a candidate cosmetic method, a candidate treatment method, or a candidate lifestyle.

[0026] The method for manufacturing cosmetics or supplements described in

[18] includes the steps of selecting active ingredients for cosmetics or supplements by the screening method described in

[17] , and incorporating the selected active ingredients into the cosmetics or supplements.

[0027]

[19] The screening method for scalp cosmetics or scalp supplements is used to select active ingredients for scalp cosmetics or scalp supplements based on the physical condition other than scalp color before and after use of the scalp cosmetics or scalp supplements containing the candidate ingredients.

[0028] The method for manufacturing a scalp cosmetic or scalp supplement described in

[20] includes the steps of selecting an active ingredient for the scalp cosmetic or scalp supplement by the screening method described in

[19] , and incorporating the selected active ingredient into the scalp cosmetic or scalp supplement. [Effects of the Invention]

[0029] The estimation method according to the present invention provides a novel estimation method for physical conditions other than scalp color, or for conditions related to scalp color. According to the selection method of the present invention, it is possible to select a cosmetic, supplement, makeup application method, treatment method, or lifestyle habit that is suitable for a subject, or to select a scalp cosmetic or scalp supplement that is suitable for a subject. The estimation support tool according to the present invention supports the novel estimation method described above. The estimation method according to the present invention supports the above-mentioned novel estimation method. According to the screening method of the present invention, it becomes easier to select active ingredients for cosmetics or supplements, or effective cosmetic methods, effective treatment methods, or effective lifestyle habits. According to the manufacturing method of the present invention, it is possible to obtain a cosmetic or supplement that can improve physical conditions other than scalp color. The screening method according to the present invention facilitates the selection of active ingredients for scalp cosmetics or scalp supplements. According to the manufacturing method of the present invention, a scalp cosmetic or scalp supplement capable of improving scalp color can be obtained. [Brief explanation of the drawing]

[0030] [Figure 1] This figure shows an example of a block diagram for an estimation support tool. [Figure 2] This is a diagram showing the level of hair curliness for evaluating hair curlness. [Figure 3] This graph plots hair stiffness against scalp brightness. [Figure 4] This graph plots the brightness of the cheeks against the brightness of the scalp. [Figure 5] This graph plots the melanin level of the cheeks against the brightness of the scalp. [Figure 6] This graph plots the amount of water evaporation from the cheeks against the brightness of the scalp. [Figure 7]This graph plots cheek elasticity against scalp brightness. [Figure 8] This graph plots the level of cheek sagging in relation to the brightness of the scalp. [Figure 9] This graph plots the level of sagging around the eyes in relation to the brightness of the scalp. [Figure 10] This graph plots the level of sagging around the corners of the mouth against the brightness of the scalp. [Figure 11] This graph plots the number of pores on the face against the brightness of the scalp. [Figure 12] This graph plots the area of ​​brown spots on the face against the brightness of the scalp. [Figure 13] This graph plots the area of ​​UV spots on the face against the brightness of the scalp. [Figure 14] This graph plots the area of ​​facial wrinkles against the brightness of the scalp. [Figure 15] This graph plots the degree of facial roughness against the brightness of the scalp. [Figure 16] This graph plots the brightness of the arm against the brightness of the scalp. [Figure 17] This graph plots body fat percentage against scalp brightness. [Figure 18] This graph plots the visceral fat index against scalp brightness. [Figure 19] This graph plots basal metabolic rate relative to body weight against scalp brightness. [Figure 20] This graph plots bone mass relative to body weight against scalp brightness. [Figure 21] This graph plots the amount of water content relative to body weight against the brightness of the scalp. [Figure 22] This graph plots the degree of vascular aging in relation to the brightness of the scalp. [Figure 23] This graph plots vascular age against scalp brightness. [Figure 24] This graph plots the amount of water evaporation from the arm against the brightness of the scalp. [Figure 25] This graph plots the degree of hair curliness in relation to scalp redness. [Figure 26] This graph plots hair stiffness against scalp redness. [Figure 27] This graph plots the level of sagging around the eyes in relation to redness of the scalp. [Figure 28] This graph plots the moisture content of the arm against the redness of the scalp. [Figure 29] This graph plots the amount of water lost from the arm against the redness of the scalp. [Figure 30] This graph plots BMI in relation to scalp redness. [Figure 31] This graph plots body fat percentage against scalp redness. [Figure 32] This graph plots the visceral fat index against scalp redness. [Figure 33] This graph plots the muscle mass ratio against scalp redness. [Figure 34] This graph plots basal metabolic rate relative to body weight in relation to scalp redness. [Figure 35] This graph plots bone mass relative to body weight against scalp redness. [Figure 36] This graph plots the amount of water in the scalp relative to body weight, in relation to scalp redness. [Figure 37] This graph plots vascular age in relation to scalp redness. [Figure 38] This graph plots the yellowness of the forehead against the redness of the scalp. [Figure 39] This graph plots the yellowness of the forehead against the yellowness of the scalp. [Figure 40] This graph plots the moisture content of the forehead against the yellowness of the scalp. [Figure 41] This graph plots the brightness of the cheeks against the yellowness of the scalp. [Figure 42] This graph plots the yellowness of the cheeks against the yellowness of the scalp. [Figure 43] This graph plots the degree of sagging around the eyes in relation to the yellowness of the scalp. [Figure 44] This graph plots the degree of sagging around the corners of the mouth against the yellowness of the scalp. [Figure 45] This graph plots the number of hair follicles against the yellowness of the scalp. [Figure 46] This graph plots the area of ​​brown spots on the face against the yellowness of the scalp. [Figure 47] This graph plots the yellowness of the arm against the yellowness of the scalp. [Figure 48] This graph plots bone mass relative to body weight against the yellowness of the scalp. [Figure 49] This graph plots the degree of vascular aging in relation to the yellowness of the scalp. [Figure 50] This graph plots vascular age in relation to the yellowness of the scalp. [Figure 51] This graph plots hair stiffness against the yellowness of the scalp. [Modes for carrying out the invention]

[0031] The following will describe, with reference to an estimation method, selection method, estimation support tool, estimation method, screening method, method for manufacturing cosmetics or supplements, and method for manufacturing scalp cosmetics or scalp supplements according to one embodiment of the present invention, but these do not particularly limit the invention.

[0032] Furthermore, the estimation method, selection method, estimation support tool, estimation method, screening method, method for manufacturing cosmetics or supplements, and method for manufacturing scalp cosmetics or scalp supplements are all for cosmetic purposes and do not constitute medical procedures. In this invention, the terms "and / or" and "and / or else" refer to both or either one of them.

[0033] (1) First Embodiment The following will explain, using as examples the estimation method, selection method, estimation support tool, estimation method, screening method, and method for manufacturing cosmetics or supplements according to the first embodiment.

[0034] (1-1) Estimation method The estimation method of the first embodiment is a method for estimating the physical condition of a subject other than the color of their scalp, based on the color of the subject's scalp. This estimation method makes it possible to estimate the physical condition of a subject other than the color of their scalp using a novel method. Furthermore, the estimation method of the first embodiment may also be an evaluation method for cosmetic purposes that evaluates the physical condition of a subject other than the color of their scalp, based on the color of the subject's scalp. Furthermore, it is preferable to evaluate scalp color in the estimation method by comparison under identical conditions.

[0035] (Scalp color) Scalp color can be described by factors such as brightness, redness, and yellowness.

[0036] Scalp brightness can be determined by visual evaluation or observation using image acquisition means such as a microscope, and is defined as the degree to which the scalp color is perceived as bright. Scalp brightness may be determined, for example, by focusing on the scalp area within a 3cm radius from the highest point on the top of the head, excluding the parting and the area around the crown. Furthermore, the measurement of scalp brightness can be performed using a known measuring device capable of measuring scalp brightness (e.g., Digital Microscope KH-8700 (Hirox Co., Ltd.)) to measure the brightness L * It may be measured as a value.

[0037] Scalp redness can be determined by visual evaluation or observation using imaging tools such as a microscope, and the degree to which redness is perceived. Scalp redness may be determined by focusing on the scalp within a 3cm radius from the highest point on the top of the head, excluding the parting and the area around the crown. Furthermore, the measurement of scalp redness can be performed using a known measuring device capable of measuring scalp redness (e.g., Digital Microscope KH-8700 (Hirox Co., Ltd.)) and measuring the chromaticity a *It may be measured as a value.

[0038] The yellowness of the scalp can be determined by visual evaluation or observation using imaging means such as a microscope, and the degree to which it is perceived as yellow. For example, the yellowness of the scalp may be determined by focusing on a portion of the scalp within a 3cm radius from the highest point on the top of the head, excluding the parting and the area around the crown. Furthermore, the measurement of the yellowness of the scalp can be performed using a known measuring device capable of measuring the yellowness of the scalp (e.g., Digital Microscope KH-8700 (Hirox Co., Ltd.)) to measure chromaticity b * It may be measured as a value.

[0039] (Physical condition other than scalp color) Other physical conditions besides scalp color include at least one of the following: hair condition, facial skin condition, skin condition of the body other than the face and head, and internal bodily condition. In the following description, physical conditions other than scalp color may be referred to as "specific physical conditions."

[0040] <Hair condition> Hair condition can include factors such as the degree of curliness and hair texture.

[0041] The level of hair curliness can be evaluated by determining the degree of curliness in the subject's hair, with the greater the degree of waviness. The evaluation can target groups of hair consisting of multiple strands, for example, hair from areas other than those treated with permanent waves, such as the hair on the temples of the head.

[0042] Hair stiffness refers to the stiffness of the subject's hair, and can be measured from a group of hairs consisting of multiple strands. For example, it can be evaluated by directly touching a group of hairs in the area above the temples of the head and determining their stiffness.

[0043] <Condition of facial skin> Facial skin conditions include, for example, the condition of the forehead, cheeks, outer corners of the eyes, corners of the mouth, and the overall condition of the face. Forehead conditions include redness, yellowness, melanin level, hemoglobin level, and moisture content. Cheek conditions include brightness, redness, yellowness, melanin level, transepidermal moisture loss, elasticity, and sagging level. Outer corners of the eyes include sagging level. Corners of the mouth include sagging level. Overall facial conditions include the number of pores, pore area, area of ​​brown spots, area of ​​UV spots, area of ​​erythema, area of ​​wrinkles, and skin roughness.

[0044] Forehead redness can be determined by visual evaluation or observation using image acquisition means such as a microscope, and the degree to which it is perceived as red. Alternatively, forehead redness may be measured using a known measuring device capable of measuring forehead redness (e.g., ANTERA 3D CS (Miravex)). Forehead redness can be measured using a known measuring device, and the chromaticity a * It may be measured as a value.

[0045] The yellowness of the forehead can be determined by visual evaluation or observation using image acquisition means such as a microscope, and the degree to which it is perceived as yellow can be measured. Alternatively, the yellowness of the forehead may be measured using a known measuring device capable of measuring forehead yellowness (e.g., ANTERA 3D CS (Miravex)). The yellowness of the forehead can be measured using a known measuring device with chromaticity b * It may be measured as a value.

[0046] The melanin level of the forehead can be evaluated as the amount of melanin per unit area of ​​the forehead. Alternatively, the melanin level of the forehead may be measured using a known measuring device capable of measuring forehead melanin levels (for example, ANTERA 3D CS (Miravex)).

[0047] The hemoglobin level in the forehead can be evaluated as the amount of hemoglobin per unit area of ​​the forehead. Alternatively, the hemoglobin level in the forehead may be measured using a known measuring device capable of measuring hemoglobin levels in the forehead (for example, ANTERA 3D CS (Miravex)).

[0048] The moisture content of the forehead can be, for example, the total moisture content of the forehead, or the moisture content per predetermined area of ​​a predetermined part of the forehead. The moisture content can be determined as the amount of moisture contained at a predetermined depth from the skin surface. Furthermore, the moisture content of the forehead may be measured using a known measuring device capable of measuring the moisture content of the forehead (for example, Corneometer CM825 (Courage+Khazaka electronic GmbH)).

[0049] The brightness of the cheeks can be defined as the degree to which the cheeks appear bright, based on visual evaluation or observation using image acquisition means such as a microscope. Alternatively, the brightness of the cheeks may be measured using a known measuring device capable of measuring cheek brightness (for example, ANTERA 3D CS (Miravex)).

[0050] The degree to which cheek redness is perceived can be determined by visual evaluation or observation using image acquisition means such as a microscope. Alternatively, cheek redness may be measured using a known measuring device capable of measuring cheek redness (e.g., ANTERA 3D CS (Miravex)). Furthermore, cheek redness can be measured using a known measuring device to determine chromaticity a. * It may be measured as a value.

[0051] The yellowness of the cheeks can be determined by visual evaluation or observation using image acquisition means such as a microscope, and the degree to which it is perceived as yellow. Alternatively, the yellowness of the cheeks may be measured using a known measuring device capable of measuring cheek yellowness (for example, ANTERA 3D CS (Miravex)). The yellowness of the cheeks can be measured using a known measuring device with chromaticity b * It may be measured as a value.

[0052] The melanin level of the cheek can be evaluated as the amount of melanin per unit area of ​​the cheek. Alternatively, the melanin level of the face may be measured using a known measuring device capable of measuring facial melanin (for example, ANTERA 3D CS (Miravex)).

[0053] The amount of water evaporation from the cheeks can be, for example, the amount of water evaporation from the entire cheek, or the amount of water evaporation per unit area of ​​a predetermined part of the cheek. The amount of water evaporation can be determined, for example, by measuring transepidermal water loss (TEWL). This transepidermal water loss (TEWL) can be measured using, for example, a known closed or open type water evaporation meter (such as Tewameter™ HEX (Courage+Khazaka electronic GmbH)). A high amount of water evaporation from the cheeks corresponds to a high degree of dryness of the cheeks.

[0054] The elasticity of the cheek can be evaluated by observing the displacement when an external force is applied and then released. For example, it can be evaluated based on the change in the amount of skin displacement due to suction by negative pressure and release. The elasticity of the cheek can be determined, for example, by measurement using a skin viscoelasticity measuring device. Alternatively, the measurement of cheek elasticity may be performed using a known measuring device capable of measuring cheek elasticity (for example, Cutometer MPA580 (Courage+Khazaka electronic GmbH)).

[0055] The level of cheek sagging can be evaluated, for example, by observing the change in cheek displacement (change in the state of cheek drooping) when changing posture from a supine position to a standing position. Alternatively, the level of cheek sagging may be measured using a known measuring device capable of measuring cheek sagging levels (e.g., VECTRA Handy H2 (Canfield Scientific)).

[0056] The level of sagging at the outer corner of the eye can be evaluated, for example, by observing the displacement of the outer corner of the eye (change in the degree of drooping) when changing posture from a supine position to a standing position. Alternatively, the level of sagging at the outer corner of the eye may be measured using a known measuring device capable of measuring the level of sagging at the outer corner of the eye (for example, VECTRA Handy H2 (Canfield Scientific)).

[0057] The level of sagging at the corners of the mouth can be evaluated, for example, by observing the displacement of the corners of the mouth (changes in the degree of drooping) when changing posture from a supine position to a standing position. Alternatively, the level of sagging at the corners of the mouth may be measured using a known measuring device capable of measuring the level of sagging at the corners of the mouth (for example, VECTRA Handy H2 (Canfield Scientific)).

[0058] The number of pores on the face can be, for example, the total number of pores on the face, or the number of pores per predetermined area of ​​a predetermined part of the face. When counting the number of pores on the face, it is preferable to count only pores that are larger than a predetermined size. A large number of pores on the face corresponds to pores being more noticeable on the face. The number of pores on the face may also be measured using a known measuring device capable of measuring the number of pores (for example, VISIA Generation 7 (Canfield Scientific Inc)).

[0059] The pore area of ​​the face can be evaluated as the sum of the areas of each individual pore, for example, by considering the pores of the entire face or the pores per predetermined area of ​​a predetermined part of the face. When evaluating pore area, it is preferable to consider only large pores that are visible to the naked eye and exceed a predetermined size. Furthermore, the pore area of ​​the face may be measured using a known measuring device capable of measuring pore area (for example, VISIA Generation 7 (Canfield Scientific Inc)).

[0060] The area of ​​brown spots on the face can be evaluated as the sum of the areas that meet a predetermined brownness level, and the predetermined brownness level can be defined as being due to melanin. The area of ​​brown spots on the face can be evaluated as the sum of the areas of each brown spot, for example, by considering brown spots on the entire face or brown spots per predetermined area of ​​a predetermined part of the face. It is preferable to evaluate the brown spots using images taken with a polarizing filter. When evaluating the area of ​​brown spots, it is preferable to consider only large brown spots that are visible to the naked eye and are larger than a predetermined size. Furthermore, the measurement of the area of ​​brown spots on the face may be performed using a known measuring device capable of measuring the area of ​​brown spots on the face (for example, VISIA Generation 7 (Canfield Scientific Inc)).

[0061] The area of ​​UV spots on the face can be evaluated, for example, as the sum of the areas where UV light is absorbed when a predetermined amount of ultraviolet light is irradiated. The area of ​​UV spots on the face can also be evaluated as the sum of the areas of each UV spot, for example, targeting UV spots on the entire face or UV spots per predetermined area of ​​a predetermined part of the face. UV spots can be evaluated as areas that appear dark in a UV image captured when a predetermined amount of ultraviolet light is irradiated, due to the absorption of ultraviolet light. Alternatively, the UV image may be binarized to make it easier to identify the dark areas before evaluation. Furthermore, the area of ​​UV spots on the face may be measured using a known measuring device capable of measuring the area of ​​UV spots on the face (for example, VISIA Generation 7 (Canfield Scientific Inc)).

[0062] The facial erythema area can be evaluated as the sum of the areas that meet a predetermined degree of redness, and the predetermined degree of redness can be defined as the redness originating from blood vessels in the dermis. The facial erythema area can be evaluated as the sum of the areas of each erythema, for example, by considering erythema of the entire face or erythema per predetermined area of ​​a predetermined part of the face. When evaluating the erythema area, it is preferable to consider only large erythema of a predetermined size or larger that can be observed with the naked eye. Furthermore, the measurement of the facial erythema area may be performed using a known measuring device capable of measuring facial erythema area (for example, VISIA Generation 7 (Canfield Scientific Inc)).

[0063] The facial wrinkle area can be determined by, for example, at least one of the number, width, and length of wrinkles on the entire face, or at least one of the number, width, and length of wrinkles per predetermined area of ​​a predetermined part of the face (e.g., the cheek) (e.g., per predetermined area of ​​1 cm × 1 cm or larger). The facial wrinkle area can then be the sum of the areas of these individual wrinkles. Facial wrinkles may also be determined from the vertical deviation between an ideal skin surface (e.g., a smooth skin surface) and the concave areas on the subject's skin surface. It is preferable to evaluate wrinkles that are always present, such as fine wrinkles on the cheeks, rather than wrinkles such as crow's feet that only appear when facial expressions change. Furthermore, the facial wrinkle area may be a value obtained using a known measuring device capable of measuring facial wrinkle area (e.g., VISIA Generation 7 (Canfield Scientific)).

[0064] Facial roughness can be determined, for example, by at least one of the number, depth, and width of convex and concave parts on the entire face, or by at least one of the number, depth, and width of convex and concave parts per predetermined area of ​​a predetermined part of the face (e.g., cheeks) (e.g., per predetermined area less than 1 cm × 1 cm). In this case, a larger number of convex and concave parts, a greater height of convex and concave parts, and a greater width of convex and concave parts indicate rougher skin. More specifically, facial roughness can be defined as the vertical deviation between an ideal skin surface (e.g., a smooth skin surface) and the subject's skin surface. In this case, a larger deviation indicates rougher skin, while a smaller deviation indicates less roughness and a smoother skin surface. This facial roughness can be defined, for example, as the arithmetic mean roughness Ra, obtained by adding the area of ​​the convex parts above the center line on the subject's skin surface and the area of ​​the concave parts, and dividing by a reference length to average the areas of the convex and concave parts. Furthermore, facial roughness may be measured using a known measuring device capable of measuring facial roughness (for example, VISIA Generation 7 (Canfield Scientific Inc)).

[0065] <Condition of the skin on the body other than the face and head> Examples of skin conditions on the body other than the face and head include the condition of the arms. These conditions include the brightness of the arms, redness, yellowness, melanin level, moisture content, and transepidermal water loss.

[0066] The brightness of the arm can be defined as the degree to which the color of a specific part of the arm, such as the inner side of the upper arm or the inner side of the elbow, is perceived as bright, based on visual evaluation or observation using image acquisition means such as a microscope. Alternatively, the brightness of the arm may be measured using a known measuring device capable of measuring the brightness of the inner side of the upper arm (for example, ANTERA 3D CS (Miravex)).

[0067] The redness of the arm can be defined as the degree to which a predetermined part of the arm, such as the inner side of the upper arm or the inner side of the elbow, is perceived as red, through visual evaluation or observation using an image acquisition means such as a microscope. Further, the measurement of the redness of the arm may be performed using a known measuring device capable of measuring the redness of the arm on the inner side of the upper arm (for example, ANTERA 3D CS (Miravex Inc.)). The redness of the arm is measured as chromaticity a using a known measuring device * value.

[0068] The yellowness of the arm can be defined as the degree to which a predetermined part of the arm, such as the inner side of the elbow or the inner side of the upper arm, is perceived as yellow, through visual evaluation or observation using an image acquisition means such as a microscope. Further, the measurement of the yellowness of the arm may be performed using a known measuring device capable of measuring the yellowness of the arm on the inner side of the upper arm (for example, ANTERA 3D CS (Miravex Inc.)). The yellowness of the arm is measured as chromaticity b using a known measuring device * value.

[0069] The melanin level of the arm can be evaluated as the amount of melanin per unit area of a predetermined part of the arm, such as the inner side of the upper arm or the inner side of the elbow. Further, the measurement of the melanin level of the arm may be performed using a known measuring device capable of measuring the melanin level of the arm on the inner side of the upper arm (for example, ANTERA 3D CS (Miravex Inc.)).

[0070] The moisture content of the arm can be, for example, the moisture content per predetermined area of a predetermined part of the arm, such as the inner side of the upper arm or the inner side of the elbow. The moisture content can be understood as the moisture content contained at a predetermined depth from the skin surface. This moisture content can be measured, for example, using a known stratum corneum moisture meter. Further, the measurement of the moisture content of the arm may be performed using a known measuring device capable of measuring the moisture content of the arm on the inner side of the upper arm (for example, Corneometer CM825 (Courage+Khazaka electronic GmbH)).

[0071] The amount of water evaporation from the arm can be defined as the amount of water evaporation per unit area of ​​a predetermined part of the arm, such as the inner side of the upper arm or the inner side of the elbow. The amount of water evaporation can be determined, for example, by measuring transepidermal water loss (TEWL). This transepidermal water loss (TEWL) can be measured using a known closed or open-type water evaporation meter (such as Tewameter™ HEX (Courage+Khazaka electronic GmbH)). A high amount of water evaporation from the arm corresponds to a high degree of arm dryness.

[0072] <Internal state of the body> Internal bodily conditions include, for example, basal metabolic rate, BMI, body fat percentage, visceral fat index, muscle percentage, basal metabolic rate relative to body weight, bone mass relative to body weight, water content relative to body weight, degree of vascular aging, and vascular age.

[0073] Basal metabolic rate can be evaluated as the basal metabolic rate determined using a known measuring device such as a body composition analyzer. Alternatively, basal metabolic rate may be measured using a known measuring device capable of measuring basal metabolic rate (for example, the body composition analyzer DF-851 (Yamato Scale Co., Ltd.)).

[0074] BMI can be evaluated as Body Mass Index (BMI) as determined using known measuring devices such as body composition analyzers. BMI may also be measured using a known measuring device capable of measuring BMI (for example, the DF-851 body composition analyzer (Yamato Scale Co., Ltd.)).

[0075] Body fat percentage can be evaluated as the percentage of body fat determined using a known measuring device such as a body composition analyzer. Alternatively, body fat percentage may be measured using a known measuring device capable of measuring body fat percentage (for example, a body composition analyzer DF-851 (Yamato Scale Co., Ltd.)).

[0076] The visceral fat index is an index of the cross-sectional area of ​​visceral fat, and is a numerical value that indicates the state of visceral fat accumulation. It can be evaluated as a visceral fat index obtained using a known measuring device such as a body composition analyzer. In addition, the visceral fat index may be measured using a known measuring device capable of measuring the visceral fat index (for example, a body composition analyzer DF-851 (Yamato Scale Co., Ltd.)).

[0077] Muscle mass can be evaluated as the muscle mass percentage determined using a known measuring device such as a body composition analyzer. Alternatively, muscle mass percentage may be measured using a known measuring device capable of measuring muscle mass (for example, a body composition analyzer DF-851 (Yamato Scale Co., Ltd.)).

[0078] Basal metabolic rate (BMR) relative to body weight can be evaluated as the BMR relative to body weight determined using a known measuring device such as a body composition analyzer. Alternatively, the BMR relative to body weight may be measured using a known measuring device capable of measuring BMR relative to body weight (for example, the DF-851 body composition analyzer from Yamato Scale Co., Ltd.).

[0079] Bone mass relative to body weight can be evaluated as bone mass relative to body weight as determined using known measuring devices such as body composition analyzers. Alternatively, bone mass relative to body weight may be measured using a known measuring device capable of measuring bone mass relative to body weight (for example, the DF-851 body composition analyzer (Yamato Scale Co., Ltd.)).

[0080] The amount of water relative to body weight can be evaluated as the amount of water relative to body weight determined using a known measuring device such as a body composition analyzer. Alternatively, the amount of water relative to body weight may be measured using a known measuring device capable of measuring the amount of water relative to body weight (for example, the body composition analyzer DF-851 (Yamato Scale Co., Ltd.)).

[0081] Vascular aging is an indicator of the aging state of blood vessels calculated from pulse waves, and can be evaluated as vascular aging measured on a part of the body such as the fingertips using a known measuring device such as a body composition analyzer. Alternatively, vascular aging may be measured using a known measuring device capable of measuring vascular aging (for example, Body Checker NEO (Tokyo Medical Research Institute Co., Ltd.)).

[0082] Vascular age is calculated based on an index of vascular aging status derived from pulse waves, and can be evaluated as vascular age measured on a part of the body such as a fingertip using a known measuring device such as a body composition analyzer. Vascular age may also be measured using a known measuring device capable of measuring vascular age (for example, Body Checker NEO (Tokyo Iken Co., Ltd.)).

[0083] (Estimation of specific physical conditions based on scalp color) As an estimation method in the first embodiment, from the viewpoint of enabling objective estimation, it is preferable to compare the scalp color of the subject with a predetermined comparison criterion for scalp color, and to estimate the specific physical condition based on the comparison result. Here, the predetermined comparison criterion for scalp color may be one or more, and may be a scalp color criterion corresponding to an average specific physical condition, a scalp color criterion corresponding to a specific physical condition worse than average, or a scalp color criterion corresponding to a specific physical condition better than average. Furthermore, multiple comparison criteria may be provided according to age, such as by age group or by age group.

[0084] As for the relationship between scalp color and specific physical conditions in the estimation method of the first embodiment, from the viewpoint of making a highly reliable estimation, (1-a) estimation of at least one of the following based on scalp brightness: hair hardness, cheek brightness, cheek melanin level, cheek water evaporation rate, cheek elasticity, cheek sagging level, crow's feet sagging level, corner of the mouth sagging level, number of facial pores, area of ​​brown spots on the face, area of ​​UV spots on the face, area of ​​wrinkles on the face, facial roughness, arm brightness, body fat percentage, visceral fat index, basal metabolic rate relative to body weight, bone mass relative to body weight, water content relative to body weight, degree of vascular aging, and vascular age (hereinafter, (1-a) Estimation of (1-b) hair curl level, hair stiffness, eye corner sagging level, arm moisture content, arm transepidermal water loss, BMI, body fat percentage, visceral fat index, muscle percentage, basal metabolic rate relative to body weight, bone mass relative to body weight, water content relative to body weight, and vascular age (hereinafter, this estimation may be referred to as (1-b) estimation), (1-c) forehead yellowness, forehead moisture content, cheek brightness, cheek yellowness, eye corner sagging level, mouth corner sagging level, number of facial pores, area of ​​brown spots on the face, arm yellowness (1-d) For subjects in their 20s or 30s, estimation of at least one of bone mass relative to body weight, degree of vascular aging, and vascular age (hereinafter, this estimation may be referred to as the estimation of (1-c)), (1-e) For subjects in their 20s or 30s, estimation of at least one of forehead yellowness based on scalp brightness, facial wrinkle area, basal metabolic rate relative to body weight, bone mass relative to body weight, and vascular age (hereinafter, this estimation may be referred to as the estimation of (1-d)), (1-e) For subjects in their 20s or 30s, estimation of at least one of body fat percentage, muscle percentage, and water content relative to body weight based on scalp redness (hereinafter, this estimation (This may be referred to as the estimation of (1-e)), (1-f) For subjects in their 20s or 30s, estimation of at least one of the following based on the yellowness of the scalp: redness of the forehead, yellowness of the forehead, hemoglobin level of the forehead, redness of the cheeks, yellowness of the cheeks, area of ​​erythema on the face, redness of the arms, yellowness of the arms, BMI, degree of vascular aging, and vascular age (hereinafter, this estimation may be referred to as the estimation of (1-f)), (1-g) For subjects in their 40s or 50s, estimation of at least one of the following based on the brightness of the scalp: stiffness of the hair, level of sagging around the eyes, melanin level of the arms, basal metabolic rate, and bone mass relative to body weight (hereinafter,It is preferable that the estimation is one of the following: (1-g) estimation (this estimation is sometimes referred to as the (1-g) estimation), (1-h) estimation of at least one of the following for subjects in their 40s or 50s: hair curl level based on scalp redness, facial pore area, arm moisture content, and bone mass relative to body weight (hereinafter, this estimation may be referred to as the (1-h) estimation), or (1-i) estimation of at least one of the following for subjects in their 40s or 50s: forehead moisture content based on scalp yellowness, cheek yellowness, transepidermal water loss from cheeks, and visceral fat index (hereinafter, this estimation may be referred to as the (1-i) estimation). Furthermore, it is preferable that each estimation in (1-a) to (1-i) is based on the scalp within a 3cm radius from the highest point on the top of the head, excluding the parting and the area around the crown.

[0085] Furthermore, the estimation method of the first embodiment also makes it possible to make any of the following predictions, for example. Predictions of at least one of the following based on a change in scalp brightness from its current state: future hair stiffness, cheek brightness, cheek melanin level, cheek water loss, cheek elasticity, cheek sagging level, crow's feet sagging level, corner of the mouth sagging level, number of facial pores, area of ​​facial brown spots, area of ​​facial UV spots, area of ​​facial wrinkles, facial roughness, arm brightness, body fat percentage, visceral fat index, basal metabolic rate relative to body weight, bone mass relative to body weight, water content relative to body weight, degree of vascular aging, and vascular age.

[0086] • Predictions of at least one of the following based on a change in scalp redness from its current state: future hair curl level, hair stiffness, eyelid sagging level, arm moisture content, arm transepidermal water loss, BMI, body fat percentage, visceral fat index, muscle percentage, basal metabolic rate relative to body weight, bone mass relative to body weight, water content relative to body weight, and vascular age. • Predictions of at least one of the following based on a change in the current state of scalp yellowness: future forehead yellowness, forehead moisture content, cheek brightness, cheek yellowness, level of sagging around the eyes, level of sagging around the corners of the mouth, number of facial pores, area of ​​brown spots on the face, yellowness of the arms, bone mass relative to body weight, degree of vascular aging, and vascular age.

[0087] • For subjects in their 20s or 30s, predictions of at least one of the following based on a change in scalp brightness from the current state: future forehead yellowness, facial wrinkle area, basal metabolic rate relative to body weight, bone mass relative to body weight, and vascular age. • For subjects in their 20s or 30s, predictions of at least one of the following based on a change in scalp redness from the current state: future body fat percentage, muscle percentage, and water content relative to body weight. • For subjects in their 20s or 30s, predictions of at least one of the following based on a change in scalp yellowness from the current state: future forehead redness, forehead yellowness, forehead hemoglobin level, cheek redness, cheek yellowness, facial erythema area, arm redness, arm yellowness, BMI, vascular aging degree, and vascular age.

[0088] • For subjects in their 40s or 50s, predictions of at least one of the following based on a change in scalp brightness from the current state: future hair stiffness, level of crow's feet, melanin level in the arms, basal metabolic rate, and bone mass relative to body weight. • For subjects in their 40s or 50s, predictions of at least one of the following based on a change in scalp redness from the current state: future hair curl level, facial pore area, arm moisture content, and bone mass relative to body weight. • For subjects in their 40s or 50s, predictions of at least one of the following in the future: forehead moisture content, cheek yellowness, transepidermal water loss from the cheeks, and visceral fat index, given a change in the yellowness of the scalp from its current state.

[0089] In the estimation described in (1-a) above, it can be estimated that the lighter the scalp, the harder the hair, the lighter the cheeks, the lower the melanin level in the cheeks, the greater the transepidermal water loss in the cheeks, the greater the elasticity of the cheeks, the lower the level of sagging in the cheeks, the lower the level of sagging at the corners of the eyes, the lower the level of sagging at the corners of the mouth, the fewer the number of pores on the face, the smaller the area of ​​brown spots on the face, the smaller the area of ​​UV spots on the face, the smaller the area of ​​wrinkles on the face, the less rough the face is, the lighter the arms, the lower the body fat percentage, the lower the visceral fat index, the higher the basal metabolic rate relative to body weight, the higher the bone mass relative to body weight, the higher the water content relative to body weight, the lower the degree of vascular aging, and the lower the vascular age. Furthermore, in the estimation described in (1-a) above, it can be estimated that the darker the scalp, the less coarse the hair, the darker the cheeks, the higher the melanin level in the cheeks, the lower the transepidermal water loss in the cheeks, the lower the elasticity of the cheeks, the higher the level of sagging in the cheeks, the higher the level of sagging around the eyes, the higher the level of sagging around the corners of the mouth, the more pores there are on the face, the larger the area of ​​brown spots on the face, the larger the area of ​​UV spots on the face, the larger the area of ​​wrinkles on the face, the rougher the face, the darker the arms, the higher the body fat percentage, the higher the visceral fat index, the lower the basal metabolic rate relative to body weight, the lower the bone mass relative to body weight, the lower the water content relative to body weight, the higher the degree of vascular aging, and the higher the vascular age.

[0090] In the estimation described in (1-b) above, it can be estimated that the less redness of the scalp, the lower the level of hair curliness, the higher the hair stiffness, the lower the level of sagging around the eyes, the higher the water content in the arms, the higher the transepidermal water loss in the arms, the lower the BMI, the lower the body fat percentage, the lower the visceral fat index, the higher the muscle percentage, the higher the basal metabolic rate relative to body weight, the higher the bone mass relative to body weight, the higher the water content relative to body weight, and the lower the vascular age. Furthermore, in the estimation described in (1-b) above, it can be estimated that the more redness of the scalp, the higher the level of hair curliness, the lower the hair stiffness, the higher the level of sagging around the eyes, the lower the water content in the arms, the lower the transepidermal water loss in the arms, the higher the BMI, the higher the body fat percentage, the higher the visceral fat index, the lower the muscle percentage, the lower the basal metabolic rate relative to body weight, the lower the bone mass relative to body weight, the lower the water content relative to body weight, and the higher the vascular age.

[0091] In the estimation described in (1-c) above, it can be estimated that the less yellow the scalp, the less yellow the forehead, the higher the moisture content of the forehead, the brighter the cheeks, the less yellow the cheeks, the lower the level of sagging around the outer corners of the eyes, the lower the level of sagging around the corners of the mouth, the fewer pores on the face, the smaller the area of ​​brown spots on the face, the less yellow the arms, the higher the bone mass relative to body weight, the lower the degree of vascular aging, and the lower the vascular age. Furthermore, in the estimation described in (1-c) above, it can be estimated that the more yellowish the scalp, the more yellowish the forehead, the less moisture the forehead has, the darker the cheeks, the more yellowish the cheeks have, the higher the level of sagging around the outer corners of the eyes, the higher the level of sagging around the corners of the mouth, the more pores there are on the face, the larger the area of ​​brown spots on the face, the more yellowish the arms have, the lower the bone mass relative to body weight, the higher the degree of vascular aging, and the higher the vascular age.

[0092] In the estimation described above (1-d), it can be estimated that the lighter the scalp of subjects in their 20s or 30s, the less yellowish their forehead, the smaller the area of ​​wrinkles on their face, the higher their basal metabolic rate relative to their body weight, the higher their bone mass relative to their body weight, and the lower their vascular age. Furthermore, in the estimation described in (1-d) above, it can be estimated that the darker the scalp of subjects in their 20s or 30s, the stronger the yellowness of their forehead, the larger the area of ​​wrinkles on their face, the lower their basal metabolic rate relative to their body weight, the lower their bone mass relative to their body weight, and the higher their vascular age.

[0093] In the estimation described above (1-e), the less redness there is on the scalp of subjects in their 20s or 30s, the lower their body fat percentage, higher their muscle mass percentage, and the higher their water content relative to their body weight. Furthermore, in the estimation described in (1-e) above, it can be estimated that the more red the scalp of subjects in their 20s or 30s, the higher their body fat percentage, lower their muscle mass percentage, and the lower their water content relative to their body weight.

[0094] In the estimation described above (1-f), it can be estimated that the less yellowish the scalp of a subject in their 20s or 30s, the less redness there is on the forehead, the less yellowness there is on the forehead, the lower the hemoglobin level on the forehead, the less redness there is on the cheeks, the less yellowness there is on the cheeks, the larger the area of ​​erythema on the face, the less redness there is on the arms, the less yellowness there is on the arms, the lower the BMI, the lower the degree of vascular aging, and the lower the vascular age. Furthermore, in the estimation described in (1-f) above, it can be estimated that the more yellowish the scalp of a subject in their 20s or 30s, the more pronounced the redness of the forehead, the more pronounced the yellowness of the forehead, the higher the hemoglobin level in the forehead, the more pronounced the redness of the cheeks, the more pronounced the yellowness of the cheeks, the smaller the area of ​​erythema on the face, the more pronounced the redness of the arms, the more pronounced the yellowness of the arms, the higher the BMI, the higher the degree of vascular aging, and the higher the vascular age.

[0095] In the estimation (1-g) described above, it can be estimated that the lighter the scalp of subjects in their 40s or 50s, the higher the hair stiffness, the lower the level of sagging around the eyes, the higher the melanin level in the arms, the higher the basal metabolic rate, and the higher the bone mass relative to body weight. Furthermore, in the estimation of (1-g) described above, it can be estimated that the darker the scalp of subjects in their 40s or 50s, the lower the hair stiffness, the higher the level of sagging around the eyes, the lower the melanin level in the arms, the lower the basal metabolic rate, and the lower the bone mass relative to body weight.

[0096] In the estimation described above (1-h), it can be estimated that the less redness there is on the scalp of subjects in their 40s or 50s, the lower their hair curl level, the larger their facial pore area, the higher their arm moisture content, and the higher their bone mass relative to their body weight. Furthermore, in the estimation (1-h) described above, it can be estimated that the more redness the scalp of subjects in their 40s or 50s, the higher their hair curl level, the smaller their facial pore area, the lower their arm moisture content, and the lower their bone mass relative to their body weight.

[0097] In the estimation described above (1-i), it can be estimated that the less yellowish the scalp of subjects in their 40s or 50s, the higher the moisture content of their forehead, the less yellowish their cheeks, the greater the transepidermal water loss from their cheeks, and the lower their visceral fat index. Furthermore, in the estimation described above (1-i), it can be estimated that the more yellowish the scalp of subjects in their 40s or 50s, the lower the moisture content of their forehead, the more yellowish their cheeks, the lower the transepidermal water loss from their cheeks, and the higher their visceral fat index.

[0098] (1-2) Selection method The selection method of the first embodiment involves selecting at least one of the following for a subject: cosmetics, supplements, makeup application methods, coping strategies, or lifestyle habits, based on the estimation results obtained by the estimation method described in (1-1) above. This selection method makes it possible to select cosmetics, supplements, makeup application methods, coping strategies, or lifestyle habits that are suitable for the subject.

[0099] Examples of cosmetics include hair cosmetics, facial cosmetics, and cosmetics for the scalp and other parts of the body. Furthermore, "cosmetics" may also refer to quasi-drugs or cosmetic products (the same applies to the following descriptions).

[0100] Hair cosmetics are applied to the hair and / or scalp and may be rinsed off or not. Hair cosmetics may be lotions, creams, toners, or powders.

[0101] Facial cosmetics are products applied to the skin of the face and may be rinsed off or not. Facial cosmetics may be lotions, creams, toners, masks, or powders.

[0102] Cosmetics for the skin of the body other than the scalp and face are applied to the skin of the body other than the scalp and face, and may be rinsed off or not. Cosmetics for the skin of the body other than the scalp and face may be lotions, creams, toners, masks, or powders.

[0103] Examples of supplements include hair supplements, facial skin supplements, and supplements for the scalp and skin of the body other than the face. Hair supplements, facial skin supplements, and supplements for the scalp and skin of the body other than the face are all intended for oral intake by the subject and may be in tablet, powder, or liquid form. Furthermore, "supplement" may also be in the form of a quasi-drug or food product (including general food products, nutritional functional foods, functional foods, and foods for specified health uses) (the same applies to the following descriptions).

[0104] Examples of makeup techniques include methods for concealing specific areas of the skin or for creating a particular appearance. Recommendations for makeup techniques may be provided to participants via text data transmission or in print.

[0105] Possible solutions include, for example, training or massage to improve specific skin characteristics, or training or massage to minimize the appearance of specific skin characteristics. Recommendations for solutions may be provided to subjects by text data transmission or by printed media.

[0106] Lifestyle habits include, for example, exercise habits, dietary habits, and sleep duration. Recommendations for lifestyle habits may be provided to subjects by sending text data or by providing printed materials.

[0107] Furthermore, the selection method is preferably such that, in relation to predetermined comparison criteria for scalp color, subjects with scalp color estimated to be in a poor specific physical condition are selected for at least one of the following: cosmetics, supplements, makeup application methods, treatment methods, or lifestyle habits, according to the comparison results. Here, the predetermined comparison criteria for scalp color may be one or more, and may be a scalp color criterion corresponding to an average specific physical condition, a scalp color criterion corresponding to a specific physical condition worse than average, or a scalp color criterion corresponding to a specific physical condition better than average.

[0108] The types of cosmetics, supplements, makeup methods, treatment methods, or lifestyle habits selected are preferably those that correspond to specific physical conditions estimated in relation to scalp color.

[0109] For example, in the estimation (1-a) above, for subjects whose scalp was evaluated as dark, the following treatments were performed: increasing hair stiffness, increasing or making cheeks appear brighter, decreasing or suppressing the increase of melanin in the cheeks, making blemishes and dullness less noticeable, increasing cheek elasticity or improving skin elasticity, decreasing or preventing cheek sagging, decreasing or preventing crow's feet sagging, decreasing or preventing crow's feet sagging, decreasing or preventing crow's feet sagging, making facial pores less noticeable, or decreasing or making brown spots on the face less noticeable. Cosmetics, supplements, makeup methods, treatments, or lifestyle habits can be selected and recommended for at least one of the following purposes: reducing the area of ​​UV spots on the face or making UV spots less noticeable; reducing the area of ​​wrinkles on the face or making wrinkles less noticeable; reducing the roughness of the face or making roughness less noticeable; increasing the brightness of the arms; reducing body fat percentage; reducing visceral fat index; increasing basal metabolic rate relative to body weight; increasing bone mass relative to body weight; increasing water content relative to body weight; reducing vascular aging; or reducing vascular age.

[0110] Furthermore, for example, in the estimation described in (1-a) above, for subjects whose scalp was evaluated as being light in color, at least one of the following cosmetics or supplements can be selected and recommended: one that reduces hair stiffness, or one that reduces transepidermal water loss from the cheeks.

[0111] Hair cosmetics (e.g., lotions, creams, toners, powders) or hair supplements (e.g., tablets, powders, liquids) for increasing hair stiffness may contain one or more ingredients that have the effect of increasing hair stiffness. Examples of hair cosmetics for increasing hair stiffness include those containing one or more of the following: polyols, surfactants, polymer resins, polypeptides, vitamins, vitamin derivatives, oily components, polyphenols, and minerals. Examples of hair supplements for increasing hair stiffness (e.g., tablets, powders, liquids) include those containing one or more of the following: polypeptides, vitamins, vitamin derivatives, and minerals.

[0112] Facial cosmetics (e.g., lotions, creams, toners, powders) or facial supplements (e.g., tablets, powders, liquids) for brightening the cheeks may contain one or more ingredients that have the effect of brightening the cheeks, such as one or more whitening agents and antioxidants. The whitening agents may be known whitening agents used in cosmetics or supplements, such as vitamins, vitamin derivatives, tranexamic acid, arbutin, kojic acid, and polyphenols (the same applies hereinafter). The antioxidants may be known antioxidants used in cosmetics or supplements, such as vitamins, lipoic acid, carotenoids, coenzyme Q10, and polyphenols (the same applies hereinafter). Makeup cosmetics (e.g., makeup bases, foundations, concealers, face powders, blushes) for making the skin appear brighter may use colors consisting of blue, beige, or pink, or colors containing these. Furthermore, the above-mentioned makeup cosmetics may contain known pigment components used in makeup. To conceal skin blemishes and dullness, it may be recommended to recommend makeup methods that conceal skin blemishes and dullness.

[0113] Facial cosmetics (e.g., lotions, creams, toners, masks, powders) or facial supplements (e.g., tablets, powders, liquids) for reducing melanin levels in the cheeks may contain one or more ingredients that have the effect of reducing melanin levels in the cheeks, such as one or more whitening agents and antioxidants. Facial cosmetics (e.g., lotions, creams, toners) for suppressing an increase in melanin levels in the cheeks may contain, for example, UV absorbers. Facial supplements (e.g., tablets, powders, liquids) for suppressing an increase in melanin levels in the cheeks may contain, for example, antioxidants. Makeup cosmetics (e.g., makeup bases, foundations, concealers, face powders, blushes) for making blemishes and dullness less noticeable by concealing them due to high melanin levels may use colors consisting of, for example, blue, green, yellow, beige, or pink, or colors containing these. Furthermore, the above-mentioned makeup cosmetics may contain known pigment components used in makeup. In addition, as a method of concealing blemishes and dullness of the skin, a makeup method targeting the areas with blemishes and dullness may be recommended.

[0114] Facial cosmetics (e.g., lotions, creams, toners, powders) or facial supplements (e.g., tablets, powders, liquids) for enhancing cheek elasticity may contain one or more ingredients that enhance cheek elasticity, such as ceramides, collagen, elastin, hyaluronic acid, polyphenols, amino acids, amino acid derivatives, polypeptides, vitamins, vitamin derivatives, antioxidants, and oily components, one or more of which may be included. Makeup cosmetics (e.g., makeup bases, foundations, concealers, face powders, blushes) for enhancing skin elasticity may use colors consisting of, for example, blue, orange, or pink, or colors containing these. Furthermore, the above-mentioned makeup cosmetics may contain known pigment components used in makeup. To enhance skin elasticity, makeup methods for enhancing skin elasticity may be recommended.

[0115] Facial cosmetics or supplements for reducing cheek sagging may contain one or more ingredients that reduce cheek sagging, such as ceramides, collagen, elastin, hyaluronic acid, polyphenols, amino acids, amino acid derivatives, polypeptides, vitamins, vitamin derivatives, blood circulation promoting ingredients, anti-inflammatory ingredients, antioxidant ingredients, and oily ingredients, one or more of which may be included. Recommended methods for reducing or preventing cheek sagging include, for example, facial muscle training or massage.

[0116] Facial cosmetics (e.g., lotions, creams, toners, masks, powders) or facial supplements (e.g., tablets, powders, liquids) for reducing the level of sagging around the eyes may contain one or more ingredients that have the effect of reducing the level of sagging around the eyes, such as one or more of the following: ceramides, collagen, elastin, hyaluronic acid, polyphenols, amino acids, amino acid derivatives, polypeptides, vitamins, vitamin derivatives, blood circulation promoting ingredients, anti-inflammatory ingredients, antioxidant ingredients, and oily ingredients. In addition, recommended methods for reducing or preventing sagging around the eyes include facial muscle training or massage.

[0117] Facial cosmetics (e.g., lotions, creams, toners, masks, powders) or facial supplements (e.g., tablets, powders, liquids) for reducing the level of sagging around the corners of the mouth may contain one or more ingredients that have the effect of reducing the level of sagging around the corners of the mouth, such as one or more of the following: ceramides, collagen, elastin, hyaluronic acid, polyphenols, amino acids, amino acid derivatives, polypeptides, vitamins, vitamin derivatives, blood circulation promoting ingredients, anti-inflammatory ingredients, antioxidant ingredients, and oily ingredients. In addition, recommended methods for reducing or preventing sagging around the corners of the mouth include facial muscle training or massage.

[0118] Facial cosmetics (e.g., lotions, creams, toners, masks, powders) designed to minimize the appearance of facial pores may contain one or more ingredients that have the effect of minimizing the appearance of facial pores. From the perspective of minimizing the appearance of pores by suppressing the enlargement of facial pores, for example, products containing one or more cleansing agents for washing away oil from the facial skin, or products containing one or more ingredients that improve skin elasticity or astringent ingredients for tightening pores may be used. Examples of the cleansing agents used in facial cosmetics include surfactants (cationic surfactants, anionic surfactants, amphoteric surfactants, nonionic surfactants, etc.), fatty acids, oily components, and polyhydric alcohols. Examples of ingredients used in facial cosmetics that improve skin elasticity include ceramides, collagen, elastin, hyaluronic acid, polyphenols, amino acids, amino acid derivatives, vitamins (such as vitamin A), vitamin derivatives (such as vitamin C derivatives), and antioxidants. Examples of astringent ingredients used in facial cosmetics include plant extracts (such as rosehip fruit extract), acids, polyphenols, metal compounds (such as aluminum and zinc), lower alcohols, vitamins (such as vitamin A), vitamin derivatives (such as vitamin C derivatives), and 5α-reductase activity inhibitors. In addition, facial supplements (e.g., tablets, powders, liquids) used to make facial pores less noticeable may contain ingredients that improve skin elasticity or ingredients that tighten pores, from the perspective of making pores less noticeable by suppressing pore enlargement. Ingredients used in facial skin supplements that improve skin elasticity or tighten pores include, for example, ceramides, collagen, elastin, hyaluronic acid, polyphenols, amino acids, amino acid derivatives, vitamins (such as vitamin A), vitamin derivatives (such as vitamin C derivatives), and antioxidants.Furthermore, makeup products used to conceal pores (e.g., makeup base, foundation, concealer, face powder, blush) may be those with a color consisting of, for example, blue, green, beige, or pink, or a color containing these. These makeup products may also contain known pigment components used in makeup. Additionally, as a method of making facial pores less noticeable, a makeup method targeting areas with noticeable pores may be recommended.

[0119] Facial cosmetics (e.g., lotions, creams, toners, masks, powders) or facial supplements (e.g., tablets, powders, liquids) for reducing the area of ​​brown spots on the face may contain one or more ingredients that have the effect of reducing the area of ​​brown spots on the face, such as one or more whitening agents and antioxidants. Makeup cosmetics (e.g., makeup bases, foundations, concealers, face powders, blushes) for making brown spots less noticeable by concealing them may use colors consisting of, for example, blue, green, yellow, beige, or pink, or colors containing these. The above-mentioned makeup cosmetics may also contain known pigment components used in makeup. Furthermore, as a makeup method for making brown spots on the face less noticeable, a makeup method targeting areas where brown spots are particularly noticeable on the face may be recommended.

[0120] Facial cosmetics (e.g., lotions, creams, toners, masks, powders) or facial supplements (e.g., tablets, powders, liquids) for reducing the area of ​​UV spots on the face may contain one or more ingredients that have the effect of reducing the area of ​​UV spots on the face, such as one or more whitening agents and antioxidants. Furthermore, facial cosmetics for reducing the area of ​​UV spots on the face may also contain UV absorbers (lotions, creams, toners) from the viewpoint of suppressing the increase in melanin levels. Similarly, facial supplements (e.g., tablets, powders, liquids) for reducing the area of ​​UV spots on the face may contain antioxidants. Additionally, makeup cosmetics (e.g., makeup bases, foundations, concealers, face powders, blushes) for making UV spots less noticeable by concealing them may use colors consisting of, for example, blue, green, yellow, beige, or pink, or colors containing these. Furthermore, the above-mentioned makeup cosmetics may contain known pigment components used in makeup. In addition, as a makeup method to make facial UV spots less noticeable, a makeup method targeting areas where facial UV spots are particularly noticeable may be recommended.

[0121] Facial cosmetics (e.g., lotions, creams, toners, masks, powders) or facial supplements (e.g., tablets, powders, liquids) for reducing the area of ​​facial wrinkles may contain, for example, one or more ingredients that have the effect of reducing the area of ​​facial wrinkles, such as ceramides, collagen, elastin, hyaluronic acid, polyphenols, amino acids, amino acid derivatives, polypeptides, vitamins (retinol, niacinamide, vitamin C, etc.), vitamin derivatives, antioxidants, or oily components, one or more of which may be included. Makeup cosmetics (e.g., makeup bases, foundations, concealers, face powders, blushes) for making wrinkles less noticeable by concealing them may use, for example, shades consisting of blue, beige, or pink, or shades containing these. Furthermore, the above-mentioned makeup cosmetics may contain known pigment components used in makeup. In addition, as a method of makeup to make facial wrinkles less noticeable, a method of makeup targeting areas where facial wrinkles are particularly noticeable may be recommended.

[0122] Facial cosmetics (e.g., lotions, creams, toners, masks, powders) or facial supplements (e.g., tablets, powders, liquids) for reducing facial roughness may contain one or more ingredients that have the effect of reducing facial roughness, such as ceramides, collagen, elastin, hyaluronic acid, polyphenols, amino acids, amino acid derivatives, polypeptides, vitamins (retinol, niacinamide, vitamin C, etc.), vitamin derivatives, antioxidants, and oily ingredients, one or more of which may be included. Makeup cosmetics (e.g., makeup bases, foundations, concealers, face powders, blushes) for making facial roughness less noticeable by concealing it may use colors consisting of, for example, blue, green, beige, or pink, or colors containing these. The above-mentioned makeup cosmetics may also contain known pigment components used in makeup. Furthermore, as a makeup method for making facial roughness less noticeable, a makeup method targeting areas where facial roughness is particularly noticeable may be recommended.

[0123] Body skin cosmetics (e.g., lotions, creams, toners, powders) or body skin supplements (e.g., tablets, powders, liquids) for enhancing the brightness of the arms may contain one or more ingredients that enhance the brightness of the arms, for example, one or more whitening agents or antioxidants.

[0124] Supplements for reducing body fat percentage (e.g., tablets, powders, liquids) may contain one or more ingredients that have the effect of reducing body fat percentage. Examples include supplements containing one or more of the following: amino acids, amino acid derivatives, polypeptides, proteins, carbohydrates, lipids, vitamins, vitamin derivatives, dietary fiber, blood circulation promoting ingredients, polyphenols, capsaicin, gingerol, allyl sulfide, soybean beta-conglycinin, apple-derived procyanidins, salacinol, epigallocatechin gallate, 6-paradol, and ellagic acid. Lifestyle habits for reducing body fat percentage include one or more of the following: moderate exercise, a well-balanced diet, and adequate sleep.

[0125] Supplements for lowering the visceral fat index (e.g., tablets, powders, liquids) may contain one or more ingredients that have the effect of lowering the visceral fat index, such as one or more of the following: amino acids, amino acid derivatives, polypeptides, proteins, carbohydrates, lipids, vitamins, vitamin derivatives, dietary fiber, blood circulation promoting ingredients, polyphenols, capsaicin, gingerol, allyl sulfide, soybean beta-conglycinin, apple-derived procyanidins, salacinol, epigallocatechin gallate, 6-paradol, and ellagic acid. Lifestyle habits for lowering the visceral fat index include one or more of the following: moderate exercise, a well-balanced diet, and adequate sleep.

[0126] Supplements for increasing basal metabolic rate relative to body weight (e.g., tablets, powders, liquids) may contain one or more ingredients that have the effect of increasing basal metabolic rate relative to body weight. Examples include supplements containing one or more of the following: amino acids, amino acid derivatives, polypeptides, proteins, carbohydrates, lipids, vitamins, vitamin derivatives, dietary fiber, blood circulation promoting ingredients, capsaicin, gingerol, and allyl sulfide. Lifestyle habits for increasing basal metabolic rate relative to body weight include one or more of the following: moderate exercise, a well-balanced diet, and adequate sleep.

[0127] Supplements for increasing bone mass relative to body weight (e.g., tablets, powders, liquids) may contain one or more ingredients that have the effect of increasing bone mass relative to body weight, such as one or more minerals, vitamins, or vitamin derivatives. Lifestyle habits for increasing bone mass relative to body weight include one or more of the following: moderate exercise, a well-balanced diet, adequate sleep, and sun exposure.

[0128] Supplements for increasing the water content relative to body weight (e.g., tablets, powders, liquids) may contain one or more ingredients that have the effect of increasing the water content relative to body weight, such as one or more of minerals, carbohydrates, and hyaluronic acid. Lifestyle habits for increasing the water content relative to body weight include one or more of the following: moderate exercise, a well-balanced diet, and adequate hydration.

[0129] Supplements for reducing vascular aging (e.g., tablets, powders, liquids) may contain one or more ingredients that have the effect of reducing vascular aging, such as one or more of the following: protein, vitamins, vitamin derivatives, and antioxidants. Lifestyle habits for reducing vascular aging include one or more of the following: moderate exercise and a well-balanced diet.

[0130] Supplements for reducing vascular age (e.g., tablets, powders, liquids) may contain one or more ingredients that have the effect of reducing vascular age, such as one or more of the following: protein, vitamins, vitamin derivatives, and antioxidants. Lifestyle habits for reducing vascular age include one or more of the following: moderate exercise and a well-balanced diet.

[0131] Examples of cosmetics or supplements for reducing hair stiffness include hair cosmetics (e.g., lotions, creams, toners, powders) or hair supplements (e.g., tablets, powders, liquids). Hair cosmetics or supplements may contain one or more ingredients that have the effect of reducing hair stiffness. Examples of hair cosmetics for reducing hair stiffness include those containing one or more of the following: polyols, surfactants (preferably cationic surfactants), polymer resins, ceramides, hyaluronic acid, amino acids, amino acid derivatives, vitamins, vitamin derivatives, antioxidants, and oily components. Examples of hair supplements for reducing hair stiffness include those containing one or more of the following: ceramides, hyaluronic acid, amino acids, amino acid derivatives, polypeptides, vitamins, vitamin derivatives, antioxidants, and oily components.

[0132] Cosmetics or supplements for reducing transepidermal water loss from the cheeks include facial cosmetics (e.g., lotions, creams, toners, masks, powders) or facial supplements (e.g., tablets, powders, liquids). Facial cosmetics or supplements may contain one or more known moisturizing ingredients. Known moisturizing ingredients may include, for example, one or more selected from moisturizing ingredients or emollient ingredients. Examples of moisturizing ingredients or emollient ingredients include oily ingredients such as ceramides, hydrolyzed proteins, proteins such as collagen, polyphenols, amino acids, amino acid derivatives, vitamins, vitamin derivatives, anti-inflammatory ingredients, antioxidant ingredients, and polyhydric alcohols.

[0133] In the estimation described in (1-b) above, for subjects who are assessed as having severe scalp redness, at least one of the following can be selected and recommended: cosmetics, supplements, makeup methods, treatments, or lifestyle changes to reduce hair curliness, increase hair stiffness, reduce or prevent sagging of the outer corners of the eyes, increase arm water content, decrease BMI, decrease body fat percentage, decrease visceral fat index, increase muscle mass, increase basal metabolic rate relative to body weight, increase bone mass relative to body weight, increase water content relative to body weight, or decrease vascular age. Furthermore, for subjects who were evaluated as having severe scalp redness, the recommendations regarding increasing hair stiffness, reducing or preventing the level of sagging around the eyes, reducing body fat percentage, reducing visceral fat index, increasing basal metabolic rate relative to body weight, increasing bone mass relative to body weight, increasing water content relative to body weight, and reducing vascular age are the same as the recommendations described above regarding the estimation in (1-a).

[0134] Furthermore, for example, in the estimation described in (1-b) above, for subjects who are evaluated as having mild scalp redness, at least one of the following cosmetics or supplements can be selected and recommended: one that reduces hair stiffness, or one that reduces transepidermal water loss from the arms. The recommendation regarding reducing hair stiffness for subjects who are evaluated as having mild scalp redness is the same as the recommendation described for the estimation described in (1-a) above.

[0135] Hair cosmetics for reducing hair frizz (e.g., lotions, creams, toners, powders) may contain one or more ingredients that have the effect of reducing hair frizz, such as polyols, surfactants, polymer resins, ceramides, hyaluronic acid, polyphenols, amino acids, amino acid derivatives, polypeptides, vitamins, vitamin derivatives, antioxidants, and oily components, one or more of which are included. Hair supplements for reducing hair frizz may contain one or more ingredients that have the effect of reducing hair frizz, such as ceramides, hyaluronic acid, polyphenols, amino acids, amino acid derivatives, polypeptides, vitamins, vitamin derivatives, antioxidants, and oily components, one or more of which are included.

[0136] Body skin cosmetics (e.g., lotions, creams, toners, masks, powders) or body skin supplements (e.g., tablets, powders, liquids) for increasing the moisture content of the arms may contain one or more ingredients that have the effect of increasing the moisture content of the arms, such as one or more of the following: ceramides, hyaluronic acid, polyphenols, amino acids, amino acid derivatives, polypeptides, vitamins, vitamin derivatives, antioxidants, and oily components.

[0137] Supplements for lowering BMI (e.g., tablets, powders, liquids) may contain one or more ingredients that have a BMI-lowering effect, such as one or more of the following: amino acids, amino acid derivatives, polypeptides, proteins, carbohydrates, lipids, vitamins, vitamin derivatives, dietary fiber, blood circulation promoting ingredients, polyphenols, capsaicin, gingerol, allyl sulfide, soybean beta-conglycinin, apple-derived procyanidins, salacinol, epigallocatechin gallate, 6-paradol, and ellagic acid. Lifestyle habits for lowering BMI include one or more of the following: moderate exercise, a well-balanced diet, and adequate sleep.

[0138] Supplements for increasing muscle mass (e.g., tablets, powders, liquids) may contain one or more ingredients that have the effect of increasing muscle mass, such as one or more of the following: amino acids, amino acid derivatives, polypeptides, proteins, carbohydrates, lipids, vitamins, vitamin derivatives, dietary fiber, blood circulation promoting ingredients, polyphenols, capsaicin, gingerol, allyl sulfide, soybean beta-conglycinin, apple-derived procyanidins, salacinol, epigallocatechin gallate, 6-paradol, and ellagic acid. Lifestyle habits for increasing muscle mass include one or more of the following: moderate exercise, a well-balanced diet, and adequate sleep.

[0139] Cosmetics or supplements for reducing transepidermal water loss from the arms include skin cosmetics (e.g., lotions, creams, toners, masks, powders) or skin supplements (e.g., tablets, powders, liquids). Skin cosmetics or skin supplements may contain one or more known ingredients having moisturizing effects. Known ingredients having moisturizing effects may include, for example, one or more selected from moisturizing ingredients or emollient ingredients. Examples of moisturizing ingredients or emollient ingredients include oily ingredients such as ceramides, hydrolyzed proteins, proteins such as collagen, polyphenols, amino acids, amino acid derivatives, vitamins, vitamin derivatives, anti-inflammatory ingredients, antioxidant ingredients, and polyhydric alcohols.

[0140] In the estimation described in (1-c) above, for subjects who are evaluated as having a strong yellowing of the scalp, at least one of the following can be selected and recommended: cosmetics, supplements, makeup methods, treatments, or lifestyle habits to reduce or make the yellowing of the forehead less noticeable, increase the moisture content of the forehead, brighten or make the cheeks appear brighter, reduce or make the yellowing of the cheeks less noticeable, reduce or prevent the level of sagging at the corners of the eyes, reduce or prevent the level of sagging at the corners of the mouth, make facial pores less noticeable, reduce the area of ​​brown spots on the face or make brown spots less noticeable, reduce the yellowing of the arms, increase bone mass relative to body weight, reduce the degree of vascular aging, or reduce vascular age.

[0141] Furthermore, for subjects who were evaluated as having a strong yellowish tint to their scalp, the recommendations regarding increasing or making the cheeks appear brighter, reducing or preventing sagging at the outer corners of the eyes, reducing or preventing sagging at the corners of the mouth, making facial pores less noticeable, reducing or making brown spots on the face less noticeable, increasing bone mass relative to body weight, reducing the degree of vascular aging, and reducing vascular age are the same as the recommendations described above regarding the estimation in (1-a).

[0142] Facial cosmetics (e.g., lotions, creams, toners, masks, powders) or facial supplements (e.g., tablets, powders, liquids) for reducing yellowness of the forehead may contain one or more ingredients that have the effect of reducing yellowness of the forehead. Examples include those containing one or more of the following: ceramides, collagen, elastin, hyaluronic acid, polyphenols, amino acids, amino acid derivatives, vitamins, vitamin derivatives, blood circulation promoting ingredients, anti-inflammatory ingredients, and antioxidant ingredients. Makeup cosmetics (e.g., makeup bases, foundations, concealers, face powders, blushes) for making yellowness of the forehead less noticeable by concealing it may use colors consisting of blue, beige, or pink, or colors containing these. The above-mentioned makeup cosmetics may also contain known pigment components used in makeup. Furthermore, as a method of makeup to make yellowness of the forehead less noticeable, a makeup method targeting the areas of the forehead where yellowness is most noticeable may be recommended.

[0143] Facial cosmetics (e.g., lotions, creams, toners, masks, powders) or facial supplements (e.g., tablets, powders, liquids) for increasing the moisture content of the forehead may contain one or more ingredients that have the effect of increasing the moisture content of the forehead, such as one or more of the following: ceramides, hyaluronic acid, polyphenols, amino acids, amino acid derivatives, polypeptides, vitamins, vitamin derivatives, antioxidants, and oily components.

[0144] Facial cosmetics (e.g., lotions, creams, toners, masks, powders) or facial supplements (e.g., tablets, powders, liquids) for reducing yellowness of the cheeks may contain one or more ingredients that have the effect of reducing yellowness of the cheeks, such as one or more of the following: ceramides, collagen, elastin, hyaluronic acid, polyphenols, amino acids, amino acid derivatives, vitamins, vitamin derivatives, blood circulation promoting ingredients, anti-inflammatory ingredients, and antioxidant ingredients. Makeup cosmetics (e.g., makeup bases, foundations, concealers, face powders, blushes) for making yellowness of the cheeks less noticeable by concealing it may use colors consisting of blue, beige, or pink, or colors containing these. The above-mentioned makeup cosmetics may also contain known pigment components used in makeup. Furthermore, as a makeup method for making yellowness of the cheeks less noticeable, a makeup method targeting the areas where yellowness of the cheeks is most noticeable may be recommended.

[0145] Body skin cosmetics (e.g., lotions, creams, toners, masks, powders) or body skin supplements (e.g., tablets, powders, liquids) for reducing yellowness of the arms may contain one or more ingredients that have the effect of reducing yellowness of the arms, such as one or more of the following: ceramides, collagen, elastin, hyaluronic acid, polyphenols, amino acids, amino acid derivatives, vitamins, vitamin derivatives, blood circulation promoting ingredients, anti-inflammatory ingredients, and antioxidant ingredients.

[0146] In the estimations described in (1-d) above, for subjects in their 20s or 30s who are assessed as having a dark scalp, at least one of the following can be selected and recommended: cosmetics, supplements, makeup techniques, treatments, or lifestyle habits to reduce or lessen the yellowness of the forehead, reduce or lessen the area of ​​facial wrinkles, increase basal metabolic rate relative to body weight, increase bone mass relative to body weight, or decrease vascular age.

[0147] Furthermore, the recommendations for subjects in their 20s or 30s who were assessed as having a dark scalp, regarding reducing or making wrinkles less noticeable on the face, increasing basal metabolic rate relative to body weight, increasing bone mass relative to body weight, and reducing vascular age, are the same as the recommendations described in (1-a) above regarding estimation. The recommendations for subjects in their 20s or 30s who were assessed as having a dark scalp, regarding reducing or making yellowness of the forehead less noticeable, are the same as the recommendations described in (1-c) above regarding estimation.

[0148] In the estimation described in (1-e) above, for subjects in their 20s or 30s who are assessed as having severe scalp redness, at least one of the following can be selected and recommended: cosmetics, supplements, makeup techniques, treatments, or lifestyle changes aimed at reducing body fat percentage, increasing muscle mass, or increasing water content relative to body weight.

[0149] Furthermore, the recommendations regarding reducing body fat percentage and increasing water content relative to body weight for subjects in their 20s or 30s who were evaluated as having severe scalp redness are the same as the recommendations regarding estimation in (1-a) above. The recommendations regarding increasing muscle mass for subjects in their 20s or 30s who were evaluated as having severe scalp redness are the same as the recommendations regarding estimation in (1-b) above.

[0150] In the estimation described in (1-f) above, for subjects in their 20s or 30s who are evaluated as having a strong yellowing of the scalp, at least one of the following can be selected and recommended: cosmetics, supplements, makeup methods, treatments, or lifestyle habits to reduce or lessen the redness of the forehead, reduce or lessen the yellowness of the forehead, reduce or lessen the hemoglobin level of the forehead, reduce or lessen the redness associated with high hemoglobin levels of the forehead, reduce or lessen the redness of the cheeks, reduce or lessen the yellowness of the cheeks, reduce or lessen the redness of the arms, reduce or lessen the yellowness of the arms, reduce BMI, reduce the degree of vascular aging, or reduce vascular age. Furthermore, the recommendations regarding reducing vascular aging and vascular age for subjects in their 20s or 30s who were evaluated as having a strong yellowing of the scalp are the same as the recommendations regarding estimation in (1-a) above. The recommendations regarding reducing BMI for subjects in their 20s or 30s who were evaluated as having a strong yellowing of the scalp are the same as the recommendations regarding estimation in (1-b) above. The recommendations regarding reducing or making the yellowing of the forehead less noticeable, reducing or making the yellowing of the cheeks less noticeable, and reducing the yellowing of the arms for subjects in their 20s or 30s who were evaluated as having a strong yellowing of the scalp are the same as the recommendations regarding estimation in (1-c) above.

[0151] Furthermore, for example, in the estimation described in (1-f) above, for subjects in their 20s or 30s who were evaluated as having a mild yellowing of the scalp, at least one of the following can be selected and recommended: cosmetics, supplements, makeup techniques, coping methods, or lifestyle changes to reduce the area of ​​facial erythema.

[0152] Facial cosmetics (e.g., lotions, creams, toners, masks, powders) or facial supplements (e.g., tablets, powders, liquids) for reducing forehead redness may contain one or more ingredients that have the effect of reducing forehead redness, such as ceramides, collagen, elastin, hyaluronic acid, polyphenols, amino acids, amino acid derivatives, vitamins, vitamin derivatives, anti-inflammatory ingredients, and antioxidant ingredients, one or more of which may be included. Makeup cosmetics (e.g., makeup bases, foundations, concealers, face powders, blushes) for making forehead redness less noticeable by concealing it may use colors consisting of, for example, blue, green, yellow, or beige, or colors consisting of these, or colors containing these. Furthermore, the above-mentioned makeup cosmetics may contain known pigment components used in makeup. In addition, as a makeup method for making forehead redness less noticeable, a makeup method targeting the areas of forehead redness that are most noticeable may be recommended.

[0153] Facial cosmetics (e.g., lotions, creams, toners, masks, powders) or facial supplements (e.g., tablets, powders, liquids) for lowering hemoglobin levels in the forehead may contain one or more ingredients that have the effect of lowering hemoglobin levels in the forehead, such as one or more of ceramides, collagen, elastin, hyaluronic acid, polyphenols, amino acids, amino acid derivatives, vitamins, vitamin derivatives, anti-inflammatory ingredients, and antioxidant ingredients. Makeup cosmetics (e.g., makeup bases, foundations, concealers, face powders, blushes) for concealing or making less noticeable redness of the skin associated with high hemoglobin levels in the forehead may use colors consisting of, for example, blue, green, yellow, or beige, or colors containing these. Furthermore, the above-mentioned makeup cosmetics may contain known pigment components used in makeup. Furthermore, as a makeup technique to make skin redness associated with high hemoglobin levels on the forehead less noticeable, it may be recommended to recommend a makeup technique that targets the areas where redness is most prominent.

[0154] Facial cosmetics (e.g., lotions, creams, toners, masks, powders) or facial supplements (e.g., tablets, powders, liquids) for reducing cheek redness may contain one or more ingredients that have the effect of reducing cheek redness, such as ceramides, collagen, elastin, hyaluronic acid, polyphenols, amino acids, amino acid derivatives, vitamins, vitamin derivatives, anti-inflammatory ingredients, and antioxidant ingredients, one or more of which may be included. Makeup cosmetics (e.g., makeup bases, foundations, concealers, face powders, blushes) for making cheek redness less noticeable by concealing it may use colors consisting of, for example, blue, green, yellow, or beige, or colors containing these. The above-mentioned makeup cosmetics may also contain known pigment components used in makeup. Furthermore, as a makeup method for making cheek redness less noticeable, a makeup method targeting areas where cheek redness is particularly noticeable may be recommended.

[0155] Body skin cosmetics (e.g., lotions, creams, toners, masks, powders) or body skin supplements (e.g., tablets, powders, liquids) for reducing redness of the arms may contain one or more ingredients that have the effect of reducing redness of the arms, such as one or more of the following: ceramides, collagen, elastin, hyaluronic acid, polyphenols, amino acids, amino acid derivatives, vitamins, vitamin derivatives, anti-inflammatory ingredients, and antioxidant ingredients.

[0156] Facial cosmetics or supplements for reducing the area of ​​facial erythema may contain, for example, one or more of the following: ceramide, collagen, elastin, hyaluronic acid, polyphenols, amino acids, amino acid derivatives, vitamins, vitamin derivatives, anti-inflammatory components, and antioxidant components. The use of makeup cosmetics (e.g., makeup base, foundation, concealer, face powder, blush) and application methods to conceal erythema may also be recommended. These makeup cosmetics may, for example, be available in shades consisting of blue, green, yellow, or beige, or containing these shades. Furthermore, these makeup cosmetics may contain known pigment components used in makeup.

[0157] In the estimation described in (1-g) above, for subjects in their 40s or 50s whose scalp is assessed as dark, at least one of the following can be selected and recommended: cosmetics, supplements, makeup techniques, treatments, or lifestyle changes to increase hair stiffness, reduce or prevent the level of sagging around the eyes, increase basal metabolic rate, or increase bone mass relative to body weight. The recommendations for increasing hair stiffness, reducing or preventing the level of sagging around the eyes, and increasing bone mass relative to body weight for subjects in their 40s or 50s whose scalp is assessed as dark are the same as the recommendations described in the estimation described in (1-a) above.

[0158] Furthermore, for example, for subjects in their 40s or 50s whose scalps were evaluated as light in the estimation described in (1-g) above, at least one of the following can be selected and recommended: cosmetics, supplements, makeup methods, treatments, or lifestyle habits to reduce hair stiffness or reduce melanin levels in the arms. The recommendation regarding reducing hair stiffness for subjects in their 40s or 50s whose scalps were evaluated as light is the same as the recommendation described for the estimation described in (1-a) above.

[0159] Supplements for increasing basal metabolic rate (e.g., tablets, powders, liquids) may contain one or more ingredients that have the effect of increasing basal metabolic rate, such as one or more of the following: amino acids, amino acid derivatives, polypeptides, proteins, carbohydrates, lipids, vitamins, vitamin derivatives, dietary fiber, blood circulation promoting ingredients, capsaicin, gingerol, and allyl sulfide. Lifestyle habits for increasing basal metabolic rate include one or more of the following: moderate exercise, a well-balanced diet, and adequate sleep.

[0160] For example, a skin cosmetic or supplement for reducing melanin levels in the arms may contain one or more whitening agents and antioxidants. Alternatively, a cosmetic method for reducing melanin levels in the arms may involve using a facial cosmetic (lotion, cream, or toner) that contains a UV absorber to suppress the increase in melanin levels.

[0161] In the estimation described in (1-h) above, for subjects in their 40s or 50s who are assessed as having severe scalp redness, at least one of the following can be selected and recommended: cosmetics, supplements, makeup methods, treatments, or lifestyle habits to reduce hair curliness, increase arm moisture content, or increase bone mass relative to body weight. The recommendation regarding increasing bone mass relative to body weight for subjects in their 40s or 50s who are assessed as having severe scalp redness is the same as the recommendation described in the estimation described in (1-a) above. The recommendation regarding reducing hair curliness and increasing arm moisture content for subjects in their 40s or 50s who are assessed as having severe scalp redness is the same as the recommendation described in the estimation described in (1-b) above.

[0162] Furthermore, for example, in the estimation described in (1-h) above, for subjects in their 40s or 50s who were evaluated as having mild scalp redness, at least one of the following can be selected and recommended: cosmetics, supplements, makeup techniques, coping methods, or lifestyle habits to reduce the area of ​​facial pores. The cosmetics and supplements used to reduce the area of ​​facial pores are the same as those used in the recommendations described in relation to the estimation in (1-a), namely, facial skin cosmetics (including makeup products to conceal pores) and facial skin supplements to reduce the appearance of facial pores, respectively.

[0163] In the estimation described in (1-i) above, for subjects in their 40s or 50s who are assessed as having a strong yellowing of the scalp, at least one of the following can be selected and recommended: cosmetics, supplements, makeup methods, treatments, or lifestyle habits to increase the moisture content of the forehead, reduce or lessen the yellowing of the cheeks, or reduce the visceral fat index. The recommendation regarding reducing the visceral fat index for subjects in their 40s or 50s who are assessed as having a strong yellowing of the scalp is the same as the recommendation described in the estimation described in (1-a) above. Furthermore, the recommendations regarding increasing the moisture content of the forehead and reducing or lessening the yellowing of the cheeks for subjects in their 40s or 50s who are assessed as having a strong yellowing of the scalp are the same as the recommendations described in the estimation described in (1-c) above.

[0164] Furthermore, for example, for subjects in their 40s or 50s who are evaluated as having a mild yellowing of the scalp in the estimation described in (1-i) above, at least one of the following can be selected and recommended: cosmetics, supplements, makeup techniques, coping methods, or lifestyle habits to reduce transepidermal water loss from the cheeks. The recommendations for reducing transepidermal water loss from the cheeks for subjects in their 40s or 50s who are evaluated as having a mild yellowing of the scalp are the same as the recommendations described in relation to the estimation described in (1-a) above.

[0165] (1-3) Estimation support tools The estimation support tool of the first embodiment is an estimation support tool that assists in estimating a subject's specific physical condition, and comprises an acquisition unit, a storage unit, an estimation unit, and an output unit. The acquisition unit acquires information indicating the subject's scalp color. The storage unit stores information that serves as a comparison standard for scalp color. The estimation unit identifies estimated information of the subject's specific physical condition based on a comparison between the information acquired by the acquisition unit and the comparison standard information. The output unit outputs the estimated information. With this estimation support tool, estimated information corresponding to a comparison between the acquired information indicating scalp color and the comparison standard information is output, thus assisting in the estimation of the subject's specific physical condition. Here, the scalp color comparison standard may be one or more, and may be a scalp color standard corresponding to an average specific physical condition, a scalp color standard corresponding to a specific physical condition worse than average, or a scalp color standard corresponding to a specific physical condition better than average.

[0166] The above estimation support tool may have information on recommended cosmetics, supplements, makeup methods, coping methods, or lifestyle habits that correspond to the estimated information pre-stored in a memory unit, and be output from an output unit along with the estimated information.

[0167] The estimation support tool may be, for example, an estimation support tool 1 as shown in the block diagram of Figure 1. This estimation support tool 1 may be an information processing device comprising an acquisition unit 10, a storage unit 20, an estimation unit 30, an output unit 40, etc. The acquisition unit 10 may be, for example, a touch panel, mouse, or keyboard that accepts information input from the user indicating the color of the scalp. The storage unit 20 may include a ROM that stores information 21 that serves as a comparison standard for the color of the scalp. The estimation unit 30 identifies estimated information of the subject's specific physical condition based on a comparison between the information acquired by the acquisition unit 10 and the comparison standard information 21 stored in the storage unit 20, and may include a CPU 31, which is a processor that performs various information calculations, RAM 32, ROM 33 for storing programs, etc. The output unit 40 may be a liquid crystal display, etc.

[0168] Furthermore, it is preferable that the estimation support tool is an information terminal configured to enable communication via a network such as the Internet. Various types of information used during the evaluation of subjects may be pre-stored in the memory of the estimation support tool, or the estimation support tool may be configured to obtain and store this information from an external server or the like by communicating via the network.

[0169] (1-4) Method for estimating the specific physical condition of a subject The method for estimating the subject's specific physical condition in the first embodiment is a method for estimating the subject's specific physical condition using the estimation support tool described in (1-3) above. This method for estimating a subject's specific physical condition makes it possible to use estimation information output from an estimation support tool in estimating the subject's specific physical condition.

[0170] (1-5) Screening methods The screening method of the first embodiment selects an active ingredient in a cosmetic or supplement, or an effective cosmetic method, an effective treatment method, or an effective lifestyle, based on the color of the scalp before and after using a cosmetic or supplement containing a candidate ingredient, or before changing to a candidate cosmetic method, a candidate treatment method, or a candidate lifestyle. This screening method makes it easy to select an active ingredient in a cosmetic or supplement, or an effective cosmetic method, an effective treatment method, or an effective lifestyle that is advantageous for improving a specific physical condition.

[0171] The above candidate substances are not particularly limited and may include known ingredients that can be incorporated into cosmetics or supplements. Furthermore, in relation to predetermined comparison criteria for scalp color, subjects whose scalp color is estimated to indicate a poor specific physical condition (subjects whose scalp color is estimated to indicate a poor specific physical condition) may be selected based on the scalp color before and after using a cosmetic or supplement containing the candidate ingredient, or after changing to a candidate cosmetic method, candidate treatment method, or candidate lifestyle. In such cases, it is preferable to make the selection based on the estimations (1-a) to (1-i) described in (1-1) regarding the relationship between scalp color and specific physical condition in the estimation method.

[0172] (1-6) Methods for manufacturing cosmetics or supplements The manufacturing method of the first embodiment is a method for manufacturing a cosmetic or supplement, and includes the steps of selecting an active ingredient for the cosmetic or supplement by the screening method of (1-5), and incorporating the selected active ingredient into the cosmetic or supplement. According to this manufacturing method, a cosmetic or supplement capable of improving a specific physical condition can be obtained. The step of incorporating the selected active ingredient into the cosmetic or supplement can be carried out by known means for cosmetics or supplements. Alternatively, in the step of incorporating the selected active ingredient into the cosmetic or supplement, the selected active ingredient may be combined with other ingredients as needed, and a known manufacturing method for cosmetics or supplements may be employed to manufacture the cosmetic or supplement.

[0173] (2) Second Embodiment The following will explain, using as examples the estimation method, selection method, estimation support tool, estimation method, screening method, and method for manufacturing scalp cosmetics or scalp supplements according to the second embodiment.

[0174] (2-1) Estimation method The estimation method of the second embodiment is a method for estimating the scalp color of a subject based on the subject's specific physical condition. This estimation method makes it possible to estimate the subject's scalp color using a novel method. Furthermore, the estimation method of the second embodiment may also be an evaluation method for cosmetic purposes that evaluates the subject's scalp color based on the subject's specific physical condition. Furthermore, it is preferable that the evaluation of specific physical conditions in the estimation method be performed by comparison under identical conditions. Furthermore, the (scalp color) and (physical condition other than scalp color (specific physical condition)) in the second embodiment are the same as those described in (1-1) of the first embodiment above.

[0175] (Estimation of scalp color based on specific physical conditions) In the estimation method of the second embodiment, from the viewpoint of enabling objective estimation, it is preferable to compare a predetermined comparison criterion for a specific physical condition with the subject's specific physical condition and estimate the scalp color based on the comparison result. Here, the predetermined comparison criterion for a specific physical condition may be one or more, and may be a criterion for a specific physical condition corresponding to the average scalp color, a criterion for a specific physical condition corresponding to a scalp color worse than average, or a criterion for a scalp color corresponding to a specific physical condition better than average. Furthermore, multiple comparison criteria may be provided according to age, such as by age group or by age group.

[0176] As for the relationship between scalp color and specific physical conditions in the estimation method of the second embodiment, from the viewpoint of making a highly reliable estimation, (2-a) estimation of scalp brightness based on at least one of the following: hair hardness, cheek brightness, cheek melanin level, cheek water evaporation rate, cheek elasticity, cheek sagging level, crow's feet sagging level, corner of the mouth sagging level, number of facial pores, area of ​​brown spots on the face, area of ​​UV spots on the face, area of ​​wrinkles on the face, facial roughness, arm brightness, body fat percentage, visceral fat index, basal metabolic rate relative to body weight, bone mass relative to body weight, water content relative to body weight, degree of vascular aging, and vascular age (hereinafter, (This estimation is sometimes referred to as the estimation in (2-a)), (2-b) Estimation of scalp redness based on at least one of the following: hair curl level, hair stiffness, eye corner sagging level, arm moisture content, arm transepidermal water loss, BMI, body fat percentage, visceral fat index, muscle percentage, basal metabolic rate relative to body weight, bone mass relative to body weight, water content relative to body weight, and vascular age (hereinafter, this estimation may be referred to as the estimation in (2-b)), (2-c) yellowness of the forehead, moisture content of the forehead, brightness of the cheeks, yellowness of the cheeks, eye corner sagging level, corner of the mouth sagging level, number of pores on the face, area of ​​brown spots on the face, yellowness of the arms, bone mass relative to body weight (2-d) For subjects in their 20s or 30s, estimation of scalp yellowness based on at least one of vascular aging degree and vascular age (hereinafter, this estimation may be referred to as (2-c) estimation), (2-e) For subjects in their 20s or 30s, estimation of scalp brightness based on at least one of forehead yellowness, facial wrinkle area, basal metabolic rate relative to body weight, bone mass relative to body weight, and vascular age (hereinafter, this estimation may be referred to as (2-d) estimation), (2-e) For subjects in their 20s or 30s, estimation of scalp redness based on at least one of body fat percentage, muscle percentage, and water content relative to body weight (hereinafter, this estimation (This may be referred to as the estimation of (2-e)), (2-f) For subjects in their 20s or 30s, estimation of scalp yellowness based on at least one of the following: forehead redness, forehead yellowness, forehead hemoglobin level, cheek redness, cheek yellowness, facial erythema area, arm redness, arm yellowness, BMI, vascular aging degree, and vascular age (hereinafter, this estimation may be referred to as the estimation of (2-f)), (2-g) For subjects in their 40s or 50s, estimation of scalp brightness based on at least one of the following: hair hardness, eye corner sagging level, arm melanin level, basal metabolic rate, and bone mass relative to body weight (hereinafter,It is preferable that the estimation is one of the following: (2-g) estimation, (2-h) estimation of scalp redness based on at least one of the following for subjects in their 40s or 50s: hair curl level, facial pore area, arm moisture content, and bone mass relative to body weight (hereinafter, this estimation may be referred to as (2-h) estimation), or (2-i) estimation of scalp yellowness based on at least one of the following for subjects in their 40s or 50s: forehead moisture content, cheek yellowness, transepidermal water loss from cheeks, and visceral fat index (hereinafter, this estimation may be referred to as (2-i) estimation). Furthermore, it is preferable that the scalp estimated in each estimation (2-a) to (2-i) is the scalp within a 3cm radius from the highest point of the top of the head, excluding the parting and the area around the crown.

[0177] Furthermore, the estimation method of the second embodiment also makes it possible to make any of the following predictions, for example.

[0178] Predictions of future scalp brightness if at least one of the following changes from the current state: hair hardness, cheek brightness, cheek melanin level, cheek transepidermal water loss, cheek elasticity, cheek sagging level, crow's feet sagging level, corner of the mouth sagging level, number of facial pores, area of ​​facial brown spots, area of ​​facial UV spots, area of ​​facial wrinkles, facial roughness, arm brightness, body fat percentage, visceral fat index, basal metabolic rate relative to body weight, bone mass relative to body weight, water content relative to body weight, degree of vascular aging, and vascular age. Prediction of future scalp redness if at least one of the following changes from the current state: hair curl level, hair stiffness, eyelid sagging level, arm moisture content, arm transepidermal water loss, BMI, body fat percentage, visceral fat index, muscle percentage, basal metabolic rate relative to body weight, bone mass relative to body weight, water content relative to body weight, and vascular age. Prediction of future scalp yellowness if at least one of the following changes from the current state: yellowness of the forehead, moisture content of the forehead, brightness of the cheeks, yellowness of the cheeks, level of sagging around the corners of the eyes, level of sagging around the corners of the mouth, number of pores on the face, area of ​​brown spots on the face, yellowness of the arms, bone mass relative to body weight, degree of vascular aging, and vascular age.

[0179] • Prediction of future scalp brightness for subjects in their 20s or 30s, based on changes in at least one of the following: forehead yellowness, facial wrinkle area, basal metabolic rate relative to body weight, bone mass relative to body weight, and vascular age. • Prediction of future scalp redness in subjects in their 20s or 30s if at least one of the following changes from the current state: body fat percentage, muscle percentage, and water content relative to body weight. • Prediction of future scalp yellowing in subjects in their 20s or 30s if at least one of the following changes from the current state: forehead redness, forehead yellowness, forehead hemoglobin level, cheek redness, cheek yellowness, facial erythema area, arm redness, arm yellowness, BMI, vascular aging degree, and vascular age.

[0180] • Prediction of future scalp brightness for subjects in their 40s or 50s if at least one of the following changes from the current state: hair hardness, level of crow's feet, melanin level in the arms, basal metabolic rate, and bone mass relative to body weight. • Prediction of future scalp redness in subjects in their 40s or 50s if at least one of the following changes from the current state: hair curl level, facial pore area, arm moisture content, and bone mass relative to body weight. • Prediction of future scalp yellowness in subjects in their 40s or 50s, based on changes in at least one of the following: forehead moisture content, cheek yellowness, transepidermal water loss from cheeks, and visceral fat index.

[0181] In the estimation described in (2-a) above, it can be estimated that the scalp is lighter the harder the hair is, the lighter the cheeks are, the lower the melanin level in the cheeks, the greater the transepidermal water loss in the cheeks, the more elastic the cheeks are, the lower the level of sagging in the cheeks, the lower the level of sagging around the eyes, the lower the level of sagging around the corners of the mouth, the fewer the number of pores on the face, the smaller the area of ​​brown spots on the face, the smaller the area of ​​UV spots on the face, the smaller the area of ​​wrinkles on the face, the less rough the face is, the lighter the arms are, the lower the body fat percentage is, the lower the visceral fat index is, the higher the basal metabolic rate relative to body weight, the higher the bone mass relative to body weight, the higher the water content relative to body weight, the lower the degree of vascular aging, and the lower the vascular age. Furthermore, in the estimation described in (2-a) above, it can be estimated that the darker the hair, the darker the cheeks, the higher the melanin level in the cheeks, the lower the transepidermal water loss from the cheeks, the lower the elasticity of the cheeks, the higher the level of sagging of the cheeks, the higher the level of sagging of the outer corners of the eyes, the higher the level of sagging of the corners of the mouth, the more pores there are on the face, the larger the area of ​​brown spots on the face, the larger the area of ​​UV spots on the face, the larger the area of ​​wrinkles on the face, the rougher the face, the darker the arms, the higher the body fat percentage, the higher the visceral fat index, the lower the basal metabolic rate relative to body weight, the lower the bone mass relative to body weight, the lower the water content relative to body weight, the higher the degree of vascular aging, and the higher the vascular age, the darker the scalp is estimated.

[0182] In the estimation described in (2-b) above, it can be estimated that the lower the level of hair curl, the higher the hair stiffness, the lower the level of sagging around the eyes, the higher the water content in the arms, the higher the transepidermal water loss in the arms, the lower the BMI, the lower the body fat percentage, the lower the visceral fat index, the higher the muscle percentage, the higher the basal metabolic rate relative to body weight, the higher the bone mass relative to body weight, the higher the water content relative to body weight, and the lower the vascular age, the less redness of the scalp is estimated. Furthermore, in the estimation described in (2-b) above, it can be estimated that the redness of the scalp is more pronounced in the following categories: higher hair curl level, lower hair stiffness, higher eyelid sagging level, lower arm water content, lower transepidermal water loss from the arms, higher BMI, higher body fat percentage, higher visceral fat index, lower muscle mass, lower basal metabolic rate relative to body weight, lower bone mass relative to body weight, lower water content relative to body weight, and higher vascular age.

[0183] In the estimation described in (2-c) above, it can be estimated that the less yellow the forehead, the more moisture the forehead has, the brighter the cheeks, the less yellow the cheeks have, the lower the level of sagging around the outer corners of the eyes, the lower the level of sagging around the corners of the mouth, the fewer pores on the face, the smaller the area of ​​brown spots on the face, the less yellow the arms have, the higher the bone mass relative to body weight, the lower the degree of vascular aging, and the lower the vascular age, the less yellow the scalp has. Furthermore, in the estimation described in (2-c) above, it can be estimated that the yellower the forehead, the less moisture the forehead has, the darker the cheeks, the more yellow the cheeks have, the higher the level of sagging around the outer corners of the eyes, the higher the level of sagging around the corners of the mouth, the more pores there are on the face, the larger the area of ​​brown spots on the face, the more yellow the arms have, the lower the bone mass relative to body weight, the higher the degree of vascular aging, and the higher the vascular age, the more yellow the scalp is estimated to be.

[0184] In the estimation described above (2-d), for subjects in their 20s or 30s, it can be estimated that the lighter the scalp, the less yellowish the forehead, the smaller the area of ​​facial wrinkles, the higher the basal metabolic rate relative to body weight, the higher the bone mass relative to body weight, and the lower the vascular age. Furthermore, in the estimation described in (2-d) above, for subjects in their 20s or 30s, the darker the scalp, the more yellowish the forehead, the larger the area of ​​facial wrinkles, the lower the basal metabolic rate relative to body weight, the lower the bone mass relative to body weight, and the higher the vascular age.

[0185] In the estimation described in (2-e) above, it can be estimated that for subjects in their 20s or 30s, the lower the body fat percentage, the higher the muscle mass percentage, and the higher the water content relative to body weight, the less redness of the scalp is associated with the scalp. Furthermore, in the estimation described in (2-e) above, it can be estimated that for subjects in their 20s or 30s, the higher the body fat percentage, the lower the muscle mass percentage, and the lower the water content relative to body weight, the more pronounced the redness of the scalp.

[0186] In the estimation described in (2-f) above, for subjects in their 20s or 30s, it can be estimated that the less redness of the forehead, the less yellowness of the forehead, the lower the hemoglobin level in the forehead, the less redness of the cheeks, the less yellowness of the cheeks, the larger the area of ​​facial erythema, the less redness of the arms, the less yellowness of the arms, the lower the BMI, the lower the degree of vascular aging, and the lower the vascular age, the less yellowness of the scalp. In the estimation described in (2-f) above, for subjects in their 20s or 30s, it can be estimated that the more red the forehead, the more yellow the forehead, the higher the hemoglobin level in the forehead, the more red the cheeks, the more yellow the cheeks, the smaller the area of ​​facial erythema, the more red the arms, the more yellow the arms, the higher the BMI, the higher the degree of vascular aging, and the higher the vascular age, the more yellow the scalp is.

[0187] In the estimation described above (2-g), for subjects in their 40s or 50s, it can be estimated that the lighter the scalp, the higher the hair stiffness, the lower the level of sagging around the eyes, the higher the melanin level in the arms, the higher the basal metabolic rate, and the higher the bone mass relative to body weight. Furthermore, in the estimation described above (2-g), for subjects in their 40s or 50s, it can be estimated that the darker the scalp, the lower the hair stiffness, the higher the level of sagging around the eyes, the lower the melanin level in the arms, the lower the basal metabolic rate, and the lower the bone mass relative to body weight.

[0188] In the estimation described above (2-h), it can be estimated that for subjects in their 40s or 50s, the lower the level of hair curl, the larger the facial pore area, the higher the moisture content of the arms, and the higher the bone mass relative to body weight, the less redness of the scalp is associated with the scalp. Furthermore, in the estimation described in (2-h) above, it can be estimated that for subjects in their 40s or 50s, the redness of the scalp is more pronounced in those with a higher level of hair curl, smaller facial pore area, lower arm moisture content, and lower bone mass relative to body weight.

[0189] In the estimation described in (2-i) above, for subjects in their 40s or 50s, it can be estimated that the more moisture in the forehead, the less yellowness in the cheeks, the greater the transepidermal water loss from the cheeks, and the lower the visceral fat index, the less yellowness the scalp is. Furthermore, in the estimation described in (2-i) above, for subjects in their 40s or 50s, it can be estimated that the lower the moisture content of the forehead, the more yellowish the cheeks, the lower the transepidermal water loss from the cheeks, and the higher the visceral fat index, the more yellowish the scalp.

[0190] (2-2) Selection method The selection method of the second embodiment involves selecting at least one of the scalp cosmetic and scalp supplement recommended for the subject, according to the estimation results obtained by the estimation method (2-1) described above. This selection method makes it possible to select at least one of the scalp cosmetic and scalp supplement suitable for the subject.

[0191] Scalp cosmetics are applied to the scalp of the subject and may be rinsed off or not. Scalp cosmetics may be lotions, creams, toners, or powders. Furthermore, "scalp cosmetics" may be in the form of quasi-drugs or cosmetics (the same applies in the following descriptions).

[0192] Scalp supplements are intended for oral intake by subjects and may be in tablet, powder, or liquid form. Furthermore, "scalp supplements" may also be in the form of quasi-drugs or food products (including general foods, nutritional functional foods, functional foods, and foods for specified health uses) (the same applies to the following descriptions). Furthermore, regarding the selection method, it is preferable to select at least one of the scalp cosmetics and scalp supplements according to the comparison results for subjects with a specific physical condition that is presumed to have poor scalp color in relation to a predetermined comparison criterion for that specific physical condition. Here, the predetermined comparison criterion for the specific physical condition may be one or more, and may be a criterion for a specific physical condition corresponding to the average scalp color, a criterion for a specific physical condition corresponding to a scalp color worse than average, or a criterion for a scalp color corresponding to a specific physical condition better than average. The types of scalp cosmetics or scalp supplements selected are preferably those that correspond to the color of the scalp estimated in relation to a specific physical condition.

[0193] For example, in the estimation described in (2-a) above, subjects who were evaluated as having low hair stiffness, dark cheeks, high melanin levels in their cheeks, low transepidermal water loss in their cheeks, low cheek elasticity, high level of cheek sagging, high level of crow's feet, high level of sagging at the corners of their mouths, a large number of facial pores, a large area of ​​brown spots on their face, a large area of ​​UV spots on their face, and a large area of ​​facial wrinkles. For subjects who were evaluated as having a bright complexion, high facial roughness, bright arms, high body fat percentage, high visceral fat index, low basal metabolic rate relative to body weight, low bone mass relative to body weight, low water content relative to body weight, high degree of vascular aging, or high vascular age, at least one of a scalp cosmetic or scalp supplement to enhance scalp brightness may be selected and recommended.

[0194] Scalp cosmetics (e.g., lotions, creams, toners, powders) or scalp supplements (e.g., tablets, powders, liquids) for brightening the scalp may contain one or more ingredients that have the effect of brightening the scalp, such as one or more whitening agents and antioxidants.

[0195] In the estimation described in (2-b) above, for subjects who were evaluated as having a high level of hair curliness, low hair stiffness, high level of sagging around the eyes, low moisture content in the arms, low transepidermal water loss in the arms, high BMI, high body fat percentage, high visceral fat index, low muscle mass, low basal metabolic rate relative to body weight, low bone mass relative to body weight, low water content relative to body weight, or high vascular age, at least one of a scalp cosmetic and / or scalp supplement to reduce scalp redness may be selected and recommended.

[0196] Scalp cosmetics (e.g., lotions, creams, toners, powders) or scalp supplements (e.g., tablets, powders, liquids) for reducing scalp redness may contain one or more ingredients that have the effect of reducing scalp redness, such as ceramides, collagen, elastin, hyaluronic acid, polyphenols, amino acids, amino acid derivatives, vitamins, vitamin derivatives, anti-inflammatory ingredients, and antioxidant ingredients, one or more of which may be included.

[0197] In the estimation described in (2-c) above, for subjects who were evaluated as having a strong yellowing of the forehead, a low moisture content in the forehead, dark cheeks, a strong yellowing of the cheeks, a high level of sagging around the outer corners of the eyes, a high level of sagging around the corners of the mouth, a large number of pores on the face, a large area of ​​brown spots on the face, a strong yellowing of the arms, a low bone mass relative to body weight, a high degree of vascular aging, or a high vascular age, at least one of a scalp cosmetic and a scalp supplement to reduce the yellowing of the scalp may be selected and recommended.

[0198] Scalp cosmetics (e.g., lotions, creams, toners, powders) or scalp supplements (e.g., tablets, powders, liquids) for reducing the yellowing of the scalp may contain one or more ingredients that have the effect of reducing the yellowing of the scalp, such as ceramides, collagen, elastin, hyaluronic acid, polyphenols, amino acids, amino acid derivatives, vitamins, vitamin derivatives, blood circulation promoting ingredients, anti-inflammatory ingredients, and antioxidant ingredients, one or more of which may be included.

[0199] In the estimation described in (2-d) above, for subjects in their 20s or 30s who were evaluated as having a strong yellowish tint to their forehead, a large area of ​​facial wrinkles, a low basal metabolic rate relative to their body weight, a low bone mass relative to their body weight, or a high vascular age, at least one of a scalp cosmetic or scalp supplement to brighten the scalp may be selected and recommended. Furthermore, the recommendations for improving scalp brightness for subjects who were evaluated as having a strong yellowish tint on their forehead, a large area of ​​facial wrinkles, a low basal metabolic rate relative to their body weight, a low bone mass relative to their body weight, or a high vascular age are the same as the recommendations described above regarding the estimation in (2-a).

[0200] In the estimation described in (2-e) above, for subjects in their 20s or 30s who are evaluated as having a high body fat percentage, a low muscle mass percentage, or a low water content relative to body weight, at least one of a scalp cosmetic or scalp supplement to reduce scalp redness may be selected and recommended. Furthermore, the recommendations for reducing scalp redness for subjects evaluated as having a high body fat percentage, a low muscle mass percentage, or a low water content relative to body weight are the same as the recommendations described in (2-b) above regarding estimation.

[0201] In the estimation described in (2-f) above, for subjects in their 20s or 30s who were evaluated as having strong redness of the forehead, strong yellowness of the forehead, high hemoglobin levels in the forehead, strong redness of the cheeks, strong yellowness of the cheeks, a small area of ​​facial erythema, strong redness of the arms, strong yellowness of the arms, a high BMI, a high degree of vascular aging, or a high vascular age, at least one of a scalp cosmetic and a scalp supplement to reduce scalp yellowness may be selected and recommended. Furthermore, the recommendations for reducing scalp yellowness for subjects who were evaluated as having strong redness of the forehead, strong yellowness of the forehead, high hemoglobin levels in the forehead, strong redness of the cheeks, strong yellowness of the cheeks, a small area of ​​facial erythema, strong redness of the arms, strong yellowness of the arms, a high BMI, a high degree of vascular aging, or a high vascular age are the same as the recommendations for estimation in (2-c) above.

[0202] In the estimation described in (2-g) above, for subjects in their 40s or 50s who were evaluated as having low hair stiffness, high levels of sagging around the eyes, low melanin levels in the arms, low basal metabolic rate, or low bone mass relative to body weight, at least one of a scalp cosmetic or scalp supplement to enhance scalp brightness may be selected and recommended. Furthermore, the recommendations for improving scalp brightness for subjects who were evaluated as having low hair stiffness, high levels of sagging around the eyes, low melanin levels in the arms, low basal metabolic rate, or low bone mass relative to body weight are the same as the recommendations described above regarding the estimation in (2-a).

[0203] In the estimation described in (2-h) above, for subjects in their 40s or 50s who were evaluated as having a high level of hair curliness, a small facial pore area, low arm moisture content, or low bone mass relative to body weight, at least one of a scalp cosmetic and / or scalp supplement to reduce scalp redness may be selected and recommended. The recommendations for reducing scalp redness for subjects evaluated as having a high level of hair curliness, a small facial pore area, low arm moisture content, or low bone mass relative to body weight are the same as the recommendations described in the estimation described in (2-b) above.

[0204] In the estimation described in (2-i) above, for subjects in their 40s or 50s who were evaluated as having low forehead moisture content, strong yellowing of the cheeks, low transepidermal water loss from the cheeks, or high visceral fat index, at least one of a scalp cosmetic and / or scalp supplement to reduce scalp yellowing may be selected and recommended. Furthermore, the recommendations for reducing scalp yellowness for subjects who were evaluated as having low forehead moisture content, strong cheek yellowness, low transepidermal water loss from the cheeks, or high visceral fat index are the same as the recommendations described above regarding the estimation in (2-c).

[0205] (2-3) Estimation support tools The estimation support tool of the second embodiment is an estimation support tool that assists in estimating the scalp color of a subject, and comprises an acquisition unit, a storage unit, an estimation unit, and an output unit. The acquisition unit acquires information indicating the subject's specific physical condition. The storage unit stores information that serves as a comparison standard for the specific physical condition. The estimation unit identifies estimated information for the subject's scalp color based on a comparison between the information acquired by the acquisition unit and the comparison standard information. The output unit outputs the estimated information. With this estimation support tool, estimated information corresponding to a comparison between the identified information indicating the specific physical condition and the comparison standard information is output, thus assisting in the estimation of the subject's scalp color. Here, the comparison standard for the specific physical condition may be one or more, and may be a standard for a specific physical condition corresponding to an average scalp color, a standard for a specific physical condition corresponding to a scalp color worse than average, or a standard for a scalp color corresponding to a specific physical condition better than average.

[0206] The above estimation support tool may have information on at least one of the recommended scalp cosmetics and scalp supplements corresponding to the estimation information pre-stored in a memory unit, and may be output from an output unit along with the estimation information.

[0207] Furthermore, the estimation support tool can have the same basic configuration as the estimation support tool described in (1-3). For example, in this embodiment, the acquisition unit 10 may receive information input from the user indicating a specific physical condition, and the storage unit 20 may store information that serves as a comparison standard for the specific physical condition. The estimation unit 30 may identify estimated information about the scalp color of the subject based on a comparison between the information acquired by the acquisition unit 10 and the comparison standard information 21 stored in the storage unit 20.

[0208] Furthermore, it is preferable that the estimation support tool is an information terminal configured to enable communication via a network such as the Internet. Various types of information used during the evaluation of subjects may be pre-stored in the memory of the estimation support tool, or the estimation support tool may be configured to obtain and store this information from an external server or the like by communicating via the network.

[0209] (2-4) Method for estimating the scalp color of a subject The method for estimating the scalp color of a subject in the second embodiment is a method for estimating the scalp color of a subject using the estimation support tool described in (2-3) above. This method for estimating the scalp color of a subject makes it possible to use estimation information output from estimation support tools when estimating the scalp color of a subject.

[0210] (2-5) Screening methods The screening method of the second embodiment selects active ingredients for scalp cosmetics or scalp supplements based on specific physical conditions before and after use of the scalp cosmetics or scalp supplements containing the candidate ingredients. This screening method makes it easy to select active ingredients for scalp cosmetics or scalp supplements that are advantageous for improving scalp color.

[0211] The above candidate substances are not particularly limited and may include known ingredients that can be incorporated into scalp cosmetics or scalp supplements. Furthermore, in relation to predetermined comparison criteria for specific physical conditions, the active ingredients of a scalp cosmetic or scalp supplement may be selected based on the specific physical condition before and after use of the scalp cosmetic or scalp supplement containing the candidate ingredients, for subjects with a specific physical condition in which the scalp color is presumed to be poor (subjects with a specific physical condition in which the scalp color item to be estimated is presumed to be poor). In this case, it is preferable to make the selection based on the estimations (2-a) to (2-i) described in (2-1) Relationship between specific physical condition and scalp color in estimation method.

[0212] (2-6) Method for manufacturing scalp cosmetics or scalp supplements The manufacturing method of the second embodiment is a method for manufacturing a scalp cosmetic or scalp supplement, comprising the steps of selecting an active ingredient for the scalp cosmetic or scalp supplement by the screening method of (2-5), and incorporating the selected active ingredient into the scalp cosmetic or scalp supplement. This manufacturing method makes it possible to obtain a supplement that can improve the color of the scalp. The step of incorporating the selected active ingredient into the scalp cosmetic or scalp supplement can be carried out by known means for scalp cosmetics or scalp supplements. Alternatively, in the step of incorporating the selected active ingredient into the scalp cosmetic or scalp supplement, the selected active ingredient may be combined with other ingredients as needed, and a known manufacturing method for scalp cosmetics or scalp supplements may be employed to manufacture the scalp cosmetic or scalp supplement. [Examples]

[0213] (Regarding the correlation between scalp color and specific physical conditions) In accordance with the Declaration of Helsinki, a group of 109 subjects (Japanese women classified as Mongoloid) aged 20 to 79 who had given their consent to a consent form approved by the Ethics Committee were evaluated for the condition of their hair, scalp, facial skin, and other physical conditions, as described below. The following measurements were conducted indoors at a temperature of 20-21°C and a humidity of 50%. The subjects' scalps and hair were washed the night before the measurement, and the facial skin was washed and makeup removed before the measurement.

[0214] (Measurement of scalp color) For each subject, scalp color was measured by assessing scalp brightness, redness, and yellowness. Here, scalp color was measured using a Digital Microscope KH-8700 (Hirox Co., Ltd.) and an L image of each subject's scalp (excluding the parting and the area around the crown, and the scalp within a 3cm radius from the highest point on the top of the head) was taken.* a * b * Lightness L in a color system * Value, chromaticity a * Value, chromaticity b * The value was measured three times, and L was measured for each subject. * value, a * value, b * The average value was calculated. Note that the evaluation of scalp brightness was based on L for each subject. * (L * (A higher value indicates a lighter scalp.) In addition, the evaluation of scalp redness was based on a for each subject. * (a * (A higher value indicates more redness of the scalp). The evaluation of scalp yellowness is based on b for each subject. * (b) The average of the values ​​was used. * (A higher value indicates more severe scalp redness). Next, for each group of subjects: all ages, subjects in their 20s and 30s, and subjects in their 40s and 50s, L * value, a * value, b * For each of the mean values, the mean, standard deviation, and standard error for scalp brightness, scalp redness, and scalp yellowness were calculated for the entire group, the top 30% of the group, and the bottom 30% of the group.

[0215] Table 1 shows the scalp brightness data for subjects of each age group. The number N represents the number of subjects (the same applies below).

[0216] [Table 1]

[0217] Table 2 shows data on scalp redness in subjects of each age group.

[0218] [Table 2]

[0219] Table 3 shows data on scalp yellowness in subjects of each age group.

[0220]

Table 3

[0221] (Evaluation of Specific Physical Condition) For each subject, as the evaluation of the specific physical condition, the following items were evaluated: hair frizz level, hair hardness, forehead redness, forehead yellowness, forehead melanin level, forehead hemoglobin level, forehead moisture content, cheek brightness, cheek redness, cheek yellowness, cheek melanin level, cheek transepidermal water loss, cheek elasticity, cheek sagging level, outer corner of the eye sagging level, mouth corner sagging level, number of facial pores, facial pore area, facial brown spot area, facial UV spot area, facial erythema area, facial wrinkle area, facial roughness, arm brightness, arm redness, arm yellowness, arm melanin level, arm moisture content, arm transepidermal water loss, basal metabolic rate, BMI, body fat percentage, visceral fat index, muscle mass percentage, basal metabolic rate relative to body weight, bone mass relative to body weight, moisture content relative to body weight, vascular aging degree, and vascular age.

[0222] The hair frizz level was evaluated by a trained assessor who routinely evaluates hair conditions, through visual inspection by comparing the impression of the hair group in the upper parietal region of the subject's head with the photographs in Figure 2 for judgment. Specifically, as shown in Figure 2, the degree of hair frizz was divided into 3 grades, and evaluation was performed by scoring such that a larger numerical value of the level indicates stronger hair frizz.

[0223] The hair hardness was evaluated by a trained assessor who routinely evaluates hair conditions, by directly touching the hair group in the upper parietal region of the subject's head and judging the hardness. Specifically, the degree of hair hardness was divided into 3 grades, and evaluation was performed by scoring such that a larger numerical value of the level indicates harder hair.

[0224] The forehead redness, forehead yellowness, forehead melanin level, and forehead hemoglobin level were taken as the average values obtained by measuring the forehead of each subject 3 times using Antera 3D (manufactured by MIRAVEX).

[0225] The moisture content of the forehead was determined by taking five measurements of each subject's forehead using a Corneometer CM825 (Courage+Khazaka electronic GmbH) and averaging the result.

[0226] Cheek brightness, cheek redness, cheek yellowness, and cheek melanin level were measured using Antera 3D (MIRAVEX) and the average value obtained from three measurements of each subject's right cheek.

[0227] Transepidermal water loss from the cheek was measured once on the right cheek of each subject using a Tewameter™ HEX (Courage+Khazaka electronic GmbH) (unit: g / h / m³). 2 )

[0228] Cheek elasticity was measured using a Cutometer MPA580 (Courage+Khazaka electronic GmbH), with the average value (in %) obtained by measuring the right cheek of each subject twice.

[0229] The levels of cheek sagging, crow's feet sagging, and corners of the mouth sagging were measured once on each subject's face using a VECTRA Handy H2 (Canfield Scientific).

[0230] The number of facial pores, facial pore area, facial brown spot area, facial UV spot area, facial erythema area, facial wrinkle area, and facial roughness were measured using VISIA Generation 7 (Canfield Scientific) and obtained from the entire face of each subject.

[0231] Arm brightness, arm redness, arm yellowness, and arm melanin level were measured using ANTERA 3D CS (MIRAVEX) and the average value obtained from three measurements of each subject's arm was used.

[0232] Arm water content was measured using a Corneometer CM825 (Courage+Khazaka electronic GmbH), with the average value obtained from five measurements of each subject's arm.

[0233] The amount of water evaporation from the arm was measured once on each subject's arm using Tewameter™ HEX (Courage+Khazaka electronic GmbH) (unit: g / h / m³). 2 )

[0234] Basal metabolic rate, BMI, body fat percentage, visceral fat index, muscle percentage, basal metabolic rate relative to body weight, bone mass relative to body weight, and water content relative to body weight were measured once for each subject using a body composition analyzer DF-851 (Yamato Scale Co., Ltd.). The units for each value are kcal / day for basal metabolic rate, % for body fat percentage, % for muscle percentage, kcal / day / kg for basal metabolic rate relative to body weight, kg / kg for bone mass relative to body weight, and kg / kg for water content relative to body weight.

[0235] Vascular aging degree and vascular age were determined by measuring the fingertip of the index finger of each subject's left hand once using the Body Checker NEO (Tokyo Medical Research Co., Ltd.). The unit of the vascular age value is years.

[0236] (A) Relationship between scalp brightness and various specific physical conditions, Part 1 (Subjects of all ages) For all subjects of all ages, the relationship between scalp brightness and each specific physical condition item (relationships (A-1) to (A-39) shown below) was examined using R (statistical analysis software). The mean, standard deviation, and standard error were calculated for all subjects of all ages, the group with the top 30% of scalp brightness (the bright scalp group), and the group with the bottom 30% of scalp brightness (the dark scalp group). The correlation coefficient R for all subjects of all ages was calculated, and the p-values ​​using the Mann-Whitney U test were calculated for the top 30% group and the bottom 30% group.

[0237] Note that, in the following, after excluding outliers based on the interquartile range, the presence or absence of correlation for each of the relationships (A-1) to (A-39) shown below was examined (the same applies to each of the relationships (B-1) to (B-37) and each of the relationships (C-1) to (C-34) described later). In addition, in each of the figures and tables shown below, R represents the correlation coefficient, and the p-value represents the p-value in the Mann-Whitney U test.

[0238] (A-1) Relationship of hair curl level to scalp brightness (A-2) Relationship of hair hardness to scalp brightness (A-3) Relationship of forehead redness to scalp brightness (A-4) Relationship of forehead yellowness to scalp brightness (A-5) Relationship of forehead melanin level to scalp brightness (A-6) Relationship of forehead hemoglobin level to scalp brightness (A-7) Relationship of forehead moisture content to scalp brightness (A-8) Relationship of cheek brightness to scalp brightness (A-9) Relationship of cheek redness to scalp brightness (A-10) Relationship of cheek yellowness to scalp brightness (A-11) Relationship of cheek melanin level to scalp brightness (A-12) Relationship of cheek transepidermal water loss to scalp brightness (A-13) Relationship of cheek elasticity to scalp brightness (A-14) Relationship of cheek sagging level to scalp brightness (A-15) Relationship of outer canthus sagging level to scalp brightness (A-16) Relationship of mouth corner sagging level to scalp brightness (A-17) Relationship of facial pore count to scalp brightness (A-18) Relationship of facial pore area to scalp brightness (A-19) Relationship of facial brown spot area to scalp brightness (A-20) Relationship of facial UV spot area to scalp brightness (A-21) Relationship of facial erythema area to scalp brightness (A-22) Relationship between scalp brightness and facial wrinkle area (A-23) Relationship between facial roughness and scalp brightness (A-24) Relationship between the brightness of the arm and the brightness of the scalp (A-25) Relationship between scalp brightness and arm redness (A-26) Relationship between the brightness of the scalp and the yellowness of the arm (A-27) Relationship between scalp brightness and melanin level of the arm (A-28) Relationship between the brightness of the scalp and the moisture content of the arm (A-29) Relationship between scalp brightness and transepidermal water loss from the arm (A-30) Relationship between basal metabolic rate and scalp brightness (A-31) Relationship between BMI and scalp brightness (A-32) Relationship between scalp brightness and body fat percentage (A-33) Relationship between scalp brightness and visceral fat index (A-34) Relationship between scalp brightness and muscle mass (A-35) Relationship between basal metabolic rate and body weight in relation to scalp brightness (A-36) Relationship between bone mass and body weight in relation to scalp brightness (A-37) Relationship between scalp brightness and body weight and moisture content (A-38) Relationship between scalp brightness and the degree of vascular aging (A-39) Relationship between scalp brightness and vascular age

[0239] Tables 4 and 5 show the data obtained regarding the relationship between scalp brightness and various items related to specific physical conditions (subjects of all ages).

[0240] [Table 4]

[0241] [Table 5]

[0242] According to the results shown in Tables 4 and 5, the following points were confirmed.

[0243] Regarding the relationship between hair hardness and scalp brightness (A-2) above, for subjects of all ages, the p-value between hair hardness in the top 30% of scalp brightness groups and hair hardness in the bottom 30% of scalp brightness groups was less than 0.05. This indicates a high correlation between the tendency for hair hardness to increase with scalp brightness and the tendency for scalp brightness to increase with hair hardness. Figure 3 shows a graph plotting the relationship between hair hardness and scalp brightness (A-2) for each subject of all ages.

[0244] Regarding the relationship between cheek brightness and scalp brightness (A-8) above, for subjects of all ages, the p-value between cheek brightness in the top 30% of scalp brightness groups and cheek brightness in the bottom 30% of scalp brightness groups was less than 0.05. This indicates a high correlation between a tendency for brighter scalps and brighter cheeks, and a tendency for brighter scalps. Figure 4 shows a graph plotting the relationship between cheek brightness and scalp brightness (A-8) for each subject of all ages.

[0245] Regarding the relationship between (A-11) scalp brightness and cheek melanin levels, for subjects of all ages, the p-value between the cheek melanin levels of the top 30% of scalp brightness groups and the cheek melanin levels of the bottom 30% of scalp brightness groups was less than 0.05. This indicates a high correlation between a tendency for brighter scalps to have lower cheek melanin levels, and a tendency for lower cheek melanin levels to have brighter scalps. Figure 5 shows a graph plotting the relationship between (A-11) scalp brightness and cheek melanin levels for each subject of all ages.

[0246] Regarding the relationship between scalp brightness and transepidermal water loss from the cheeks (A-12) above, for subjects of all ages, the p-value between transepidermal water loss from the cheeks in the top 30% of scalp brightness groups and transepidermal water loss from the cheeks in the bottom 30% of scalp brightness groups was less than 0.05. This indicates a high correlation between brighter scalps and higher transepidermal water loss from the cheeks, and between higher transepidermal water loss from the cheeks and brighter scalps. Figure 6 shows a graph plotting the relationship between scalp brightness and transepidermal water loss from the cheeks (A-12) for each subject of all ages.

[0247] Regarding the relationship between cheek elasticity and scalp brightness (A-13) above, for subjects of all ages, the p-value between cheek elasticity in the top 30% of scalp brightness groups and cheek elasticity in the bottom 30% of scalp brightness groups was less than 0.05. This indicates a high correlation between brighter scalps and higher cheek elasticity, and between higher cheek elasticity and brighter scalps. Figure 7 shows a graph plotting the relationship between cheek elasticity and scalp brightness (A-13) for each subject of all ages.

[0248] Regarding the relationship between scalp brightness and cheek sagging level (A-14) above, for subjects of all ages, the p-value between the cheek sagging level of the top 30% group in scalp brightness and the cheek sagging level of the bottom 30% group in scalp brightness was less than 0.05. This indicates a high correlation between a tendency for brighter scalps to be associated with lower cheek sagging levels, and a tendency for lower cheek sagging levels to be associated with brighter scalps. Figure 8 shows a graph plotting the relationship between scalp brightness and cheek sagging level (A-14) for each subject of all ages.

[0249] Regarding the relationship between (A-15) scalp brightness and the level of outer corner eye sagging, for subjects of all ages, the p-value between the outer corner eye sagging level in the top 30% of scalp brightness groups and the outer corner eye sagging level in the bottom 30% of scalp brightness groups was less than 0.05. This indicates a high correlation between a tendency for brighter scalps to be associated with lower outer corner eye sagging, and a tendency for lower outer corner eye sagging to be associated with brighter scalps. Figure 9 shows a graph plotting the relationship between (A-15) scalp brightness and the level of outer corner eye sagging for each subject of all ages.

[0250] Regarding the relationship between (A-16) scalp brightness and the level of corner of the mouth sagging, for subjects of all ages, the p-value between the corner of the mouth sagging level in the top 30% of scalp brightness groups and the corner of the mouth sagging level in the bottom 30% of scalp brightness groups was less than 0.05. This indicates a high correlation between a tendency for brighter scalps to be associated with lower corner of the mouth sagging, and a tendency for lower corner of the mouth sagging to be associated with brighter scalps. Figure 10 shows a graph plotting the relationship between (A-16) scalp brightness and the level of corner of the mouth sagging for each subject of all ages.

[0251] Regarding the relationship between (A-17) scalp brightness and the number of facial pores, for subjects of all ages, the p-value between the number of facial pores in the top 30% of scalp brightness group and the number of facial pores in the bottom 30% of scalp brightness group was less than 0.05. This indicates a high correlation between a tendency for brighter scalps to have fewer facial pores, and a tendency for a tendency for fewer facial pores to have brighter scalps. Figure 11 shows a graph plotting the relationship between (A-17) scalp brightness and the number of facial pores for each subject of all ages.

[0252] Regarding the relationship between facial brown spot area and scalp brightness (A-19) above, for subjects of all ages, the p-value between the facial brown spot area in the top 30% of scalp brightness groups and the facial brown spot area in the bottom 30% of scalp brightness groups was less than 0.05. This indicates a high correlation between a tendency for lighter scalps to have smaller facial brown spot areas, and a tendency for smaller facial brown spot areas to have lighter scalps. Figure 12 shows a graph plotting the relationship between facial brown spot area and scalp brightness (A-19) for each subject of all ages.

[0253] Regarding the relationship between facial UV spot area and scalp brightness (A-20) above, for subjects of all ages, the p-value between the facial UV spot area of ​​the top 30% of scalp brightness groups and the facial UV spot area of ​​the bottom 30% of scalp brightness groups was less than 0.05. This indicates a high correlation between a tendency for lighter scalps to have smaller facial UV spot areas, and a tendency for lighter scalps to have smaller facial UV spot areas. Figure 13 shows a graph plotting the facial UV spot area against scalp brightness (A-20) for each subject of all ages.

[0254] Regarding the relationship between facial wrinkle area and scalp brightness (A-22) above, for subjects of all ages, the p-value between the facial wrinkle area of ​​the top 30% group in scalp brightness and the facial wrinkle area of ​​the bottom 30% group in scalp brightness was less than 0.05. This indicates a high correlation between a tendency for lighter scalps to have smaller facial wrinkle areas, and a tendency for lighter scalps to have smaller facial wrinkle areas. Figure 14 shows a graph plotting the relationship between facial wrinkle area and scalp brightness (A-22) for each subject of all ages.

[0255] Regarding the relationship between facial roughness and scalp brightness (A-23) above, for subjects of all ages, the p-value between facial roughness in the top 30% of scalp brightness groups and facial roughness in the bottom 30% of scalp brightness groups was less than 0.05. This indicates a high correlation between a tendency for lighter scalps to have less facial roughness, and a tendency for lighter scalps to have less facial roughness. Figure 15 shows a graph plotting the relationship between facial roughness and scalp brightness (A-23) for each subject of all ages.

[0256] Regarding the relationship between arm brightness and scalp brightness (A-24) above, for all age groups, the p-value between the arm brightness of the top 30% of scalp brightness groups and the arm brightness of the bottom 30% of scalp brightness groups was less than 0.05. This indicates a high correlation between brighter scalps and brighter arms, and vice versa. Figure 16 shows a graph plotting the relationship between arm brightness and scalp brightness (A-24) for each age group of subjects.

[0257] Regarding the relationship between scalp brightness and body fat percentage (A-32) above, for subjects of all ages, the p-value between the body fat percentage of the top 30% group in scalp brightness and the body fat percentage of the bottom 30% group in scalp brightness was less than 0.05. This indicates a high correlation between a tendency for brighter scalps to be associated with lower body fat percentages, and a tendency for lower body fat percentages to be associated with brighter scalps. Figure 17 shows a graph plotting the relationship between scalp brightness and body fat percentage (A-32) for each subject of all ages.

[0258] Regarding the relationship between scalp brightness and visceral fat index (A-33) above, for subjects of all ages, the p-value between the visceral fat index of the top 30% of scalp brightness group and the visceral fat index of the bottom 30% of scalp brightness group was less than 0.05. This indicates a high correlation between a tendency for a brighter scalp to have a lower visceral fat index, and a tendency for a lower visceral fat index to have a brighter scalp. Figure 18 shows a graph plotting the relationship between scalp brightness and visceral fat index (A-33) for each subject of all ages.

[0259] Regarding the relationship between basal metabolic rate and body weight in relation to scalp brightness (A-35) above, for subjects of all ages, the p-value between the basal metabolic rate and body weight in the top 30% of scalp brightness groups and the bottom 30% of scalp brightness groups was less than 0.05. This indicates a high correlation between a brighter scalp and a higher basal metabolic rate, and between a brighter scalp and a higher basal metabolic rate. Figure 19 shows a graph plotting the relationship between basal metabolic rate and body weight in relation to scalp brightness (A-35) for each subject of all ages.

[0260] Regarding the relationship between bone mass and body weight in relation to scalp brightness (A-36) above, for all subjects of all ages, the p-value between bone mass in the top 30% of scalp brightness group and bone mass in the bottom 30% of scalp brightness group was less than 0.05. This indicates a high correlation between a tendency for brighter scalps to be associated with higher bone mass relative to body weight, and a tendency for higher bone mass relative to body weight to be associated with brighter scalps. Figure 20 shows a graph plotting the relationship between bone mass and body weight in relation to scalp brightness (A-36) for each subject of all ages.

[0261] Regarding the relationship between (A-37) scalp brightness and water content relative to body weight, for all subjects of all ages, the p-value between the water content relative to body weight in the top 30% of scalp brightness group and the water content relative to body weight in the bottom 30% of scalp brightness group was less than 0.05. This indicates a high correlation between a tendency for brighter scalps to have higher water content relative to body weight, and a tendency for higher water content relative to body weight to have brighter scalps. Figure 21 shows a graph plotting the relationship between (A-37) scalp brightness and water content relative to body weight for each subject of all ages.

[0262] Regarding the relationship between scalp brightness and vascular aging (A-38) above, for subjects of all ages, the p-value between the vascular aging degree of the top 30% of scalp brightness group and the vascular aging degree of the bottom 30% of scalp brightness group was less than 0.05. This indicates a high correlation between a tendency for brighter scalps to have lower vascular aging, and a tendency for a tendency for lower vascular aging to have brighter scalps. Figure 22 shows a graph plotting the relationship between scalp brightness and vascular aging (A-38) for each subject of all ages.

[0263] Regarding the relationship between scalp brightness and vascular age (A-39) above, for subjects of all ages, the p-value between the vascular age of the top 30% of scalp brightness group and the vascular age of the bottom 30% of scalp brightness group was less than 0.05. This indicates a high correlation between a tendency for brighter scalps to be associated with lower vascular age, and a tendency for lower vascular ages to be associated with brighter scalps. Figure 23 shows a graph plotting the relationship between scalp brightness and vascular age (A-39) for each subject of all ages.

[0264] Furthermore, for the following relationships, the p-values ​​for each specific physical condition item in the top 30% of scalp brightness group and each specific physical condition item in the bottom 30% of scalp brightness group were greater than 0.05 for all subjects of all ages, and no correlation was confirmed (Tables 4-5). Figure 24 shows a graph plotting the relationship between scalp brightness and transepidermal water loss from the arm for each subject of all ages for which no correlation was confirmed (A-29). (A-1) Relationship between scalp brightness and hair curl level, (A-3) Relationship between scalp brightness and forehead redness, (A-4) Relationship between scalp brightness and forehead yellowness, (A-5) Relationship between scalp brightness and forehead melanin level, (A-6) Relationship between scalp brightness and forehead hemoglobin level, (A-7) Relationship between scalp brightness and forehead moisture content, (A-9) Relationship between scalp brightness and cheek redness, (A-10) Relationship between scalp brightness and cheek yellowness, (A-18) Relationship between scalp brightness and facial pore area (A-21) Relationship between scalp brightness and facial erythema area, (A-25) Relationship between scalp brightness and arm redness, (A-26) Relationship between scalp brightness and arm yellowness, (A-27) Relationship between scalp brightness and arm melanin level, (A-28) Relationship between scalp brightness and arm moisture content, (A-29) Relationship between scalp brightness and arm transepidermal water loss, (A-30) Relationship between scalp brightness and basal metabolic rate, (A-31) Relationship between scalp brightness and BMI, (A-34) Relationship between scalp brightness and muscle mass

[0265] (A) Relationship between scalp brightness and various specific physical conditions, Part 2 (Subjects in their 20s and 30s, Subjects in their 40s and 50s) In the relationships shown above in (A-2), (A-10), (A-15), (A-22), (A-27), (A-29), (A-30), (A-35), (A-36), and (A-39), subjects in their 20s and 30s, and subjects in their 40s and 50s were extracted from all subjects of all ages, and the groups were divided into the top 30% in scalp brightness (light scalp group), the bottom 30% in scalp brightness (dark scalp group), and the entire group of subjects in their 20s and 30s or the group of subjects in their 40s. For each of the subjects in their 20s and 30s, and for all subjects in their 40s and 50s, the relationship between scalp redness and each item of specific physical condition was examined using R (statistical analysis software). The correlation coefficient R was calculated for all subjects in their 20s and 30s, and for all subjects in their 40s and 50s. The p-values ​​using the Mann-Whitney U test were then calculated for the top 30% and bottom 30% groups of subjects in their 20s and 30s, or for all subjects in their 40s and 50s.

[0266] Table 6 shows the data obtained regarding the relationship between scalp brightness and each item related to specific physical conditions (for subjects in their 20s and 30s, and subjects in their 40s and 50s).

[0267] [Table 6]

[0268] According to the results shown in Table 6, the following points were confirmed.

[0269] Regarding the relationship between hair hardness and scalp brightness (A-2) above, for subjects limited to those in their 40s and 50s, the p-value between hair hardness in the top 30% of scalp brightness group and hair hardness in the bottom 30% of scalp brightness group was less than 0.05, indicating a high correlation between a tendency for brighter scalps to be associated with harder hair, and a tendency for harder hair to be associated with a brighter scalp (similar to the trend in subjects of all ages). However, for subjects limited to those in their 20s and 30s, the p-value between hair hardness in the top 30% of scalp brightness group and hair hardness in the bottom 30% of scalp brightness group was greater than 0.05, indicating no correlation between scalp brightness and hair hardness.

[0270] Regarding the relationship between scalp brightness and cheek yellowness (A-10) above, for subjects limited to those in their 20s and 30s, the p-value between the cheek yellowness of the top 30% of scalp brightness group and the cheek yellowness of the bottom 30% of scalp brightness group was less than 0.05, indicating a high correlation between a tendency for lighter scalps to be associated with less cheek yellowness, and a tendency for lighter cheek yellowness to be associated with a brighter scalp. However, for subjects limited to those in their 40s and 50s, the p-value between the cheek yellowness of the top 30% of scalp brightness group and the cheek yellowness of the bottom 30% of scalp brightness group was greater than 0.05, indicating no correlation between scalp brightness and cheek yellowness.

[0271] Regarding the relationship between scalp brightness and the level of outer corner eye sagging (A-15) above, for subjects limited to those in their 40s and 50s, the p-value between the outer corner eye sagging level in the top 30% of scalp brightness group and the outer corner eye sagging level in the bottom 30% of scalp brightness group was less than 0.05. This confirmed a high correlation between a tendency for brighter scalps to be associated with lower outer corner eye sagging levels, and a tendency for lower outer corner eye sagging levels to be associated with brighter scalps (similar to the trend in subjects of all ages). However, for subjects limited to those in their 20s and 30s, the p-value between the outer corner eye sagging level in the top 30% of scalp brightness group and the outer corner eye sagging level in the bottom 30% of scalp brightness group was greater than 0.05, indicating no correlation between scalp brightness and outer corner eye sagging levels.

[0272] Regarding the relationship between scalp brightness and facial wrinkle area (A-22) above, for subjects limited to those in their 20s and 30s, the p-value between the facial wrinkle area of ​​the top 30% group in scalp brightness and the facial wrinkle area of ​​the bottom 30% group in scalp brightness was less than 0.05. This indicates a high correlation between a tendency for brighter scalps to have smaller facial wrinkle areas, and a tendency for smaller facial wrinkle areas to have brighter scalps (similar to the trend in subjects of all ages). However, for subjects limited to those in their 40s and 50s, the p-value between the facial wrinkle area of ​​the top 30% group in scalp brightness and the facial wrinkle area of ​​the bottom 30% group in scalp brightness exceeded 0.05, indicating no correlation between scalp brightness and facial wrinkle area.

[0273] Regarding the relationship between scalp brightness and arm melanin levels (A-27) above, for subjects limited to those in their 40s and 50s, the p-value between the arm melanin levels of the top 30% of scalp brightness groups and the arm brightness of the bottom 30% of scalp brightness groups was less than 0.05. This indicates a high correlation between brighter scalps and higher arm melanin levels, and between higher arm melanin levels and brighter scalps. However, for subjects limited to those in their 20s and 30s, the p-value between the arm melanin levels of the top 30% of scalp brightness groups and the arm melanin levels of the bottom 30% of scalp brightness groups was greater than 0.05, indicating no correlation between scalp brightness and arm melanin levels (similar to the trend in subjects of all ages).

[0274] Regarding the relationship between scalp brightness and basal metabolic rate (A-30) above, for subjects limited to those in their 40s and 50s, the p-value between the basal metabolic rate of the top 30% of scalp brightness group and the basal metabolic rate of the bottom 30% of scalp brightness group was less than 0.05, indicating a high correlation between a tendency for brighter scalps to be associated with higher basal metabolic rates, and a tendency for higher basal metabolic rates to be associated with brighter scalps. However, for subjects limited to those in their 20s and 30s, the p-value between the basal metabolic rate of the top 30% of scalp brightness group and the basal metabolic rate of the bottom 30% of scalp brightness group was greater than 0.05, indicating no correlation between scalp brightness and basal metabolic rate (similar to the trend observed in subjects of all ages).

[0275] Regarding the relationship between scalp brightness and basal metabolic rate relative to body weight (A-35) above, for subjects limited to those in their 20s and 30s, the p-value between the basal metabolic rate relative to body weight of the top 30% group in scalp brightness and the basal metabolic rate relative to body weight of the bottom 30% group in scalp brightness was less than 0.05. This indicates a high correlation between a tendency for brighter scalps to have higher basal metabolic rates relative to body weight, and a tendency for higher basal metabolic rates relative to body weight to have brighter scalps (similar to the trend in subjects of all ages). However, for subjects limited to those in their 40s and 50s, the p-value between the basal metabolic rate relative to body weight of the top 30% group in scalp brightness and the basal metabolic rate relative to body weight of the bottom 30% group in scalp brightness was greater than 0.05, indicating no correlation between scalp brightness and basal metabolic rate relative to body weight.

[0276] Regarding the relationship between bone mass relative to body weight and scalp brightness (A-36) above, in both the subjects limited to those in their 20s and 30s, and the subjects limited to those in their 40s and 50s, the p-values ​​for bone mass relative to body weight in the top 30% of scalp brightness group and the bottom 30% of scalp brightness group were both below 0.05. A high correlation was confirmed in both cases: a tendency for brighter scalps to be associated with higher bone mass relative to body weight, and a tendency for higher bone mass relative to body weight to be associated with brighter scalps (similar to the trend in subjects of all ages).

[0277] Regarding the relationship between scalp brightness and vascular age (A-39) above, for subjects limited to those in their 20s and 30s, the p-value between the vascular age of the top 30% of scalp brightness group and the vascular age of the bottom 30% of scalp brightness group was less than 0.05, indicating a high correlation between a tendency for brighter scalps to be associated with lower vascular age, and a tendency for lower vascular ages to be associated with brighter scalps (similar to the trend observed in subjects of all ages). However, for subjects limited to those in their 40s and 50s, the p-value between the vascular age of the top 30% of scalp brightness group and the vascular age of the bottom 30% of scalp brightness group exceeded 0.05, indicating no correlation between scalp brightness and vascular age.

[0278] Furthermore, regarding the relationship between scalp brightness and transepidermal water loss in the arms (A-29) above, in both the subjects limited to those in their 20s and 30s, and the subjects limited to those in their 40s and 50s, the p-value between the transepidermal water loss in the arms of the top 30% of scalp brightness group and the transepidermal water loss in the arms of the bottom 30% of scalp brightness group was greater than 0.05, and no correlation was found between scalp brightness and transepidermal water loss in the arms (similar to the trend in subjects of all ages).

[0279] (B) Relationship between scalp redness and each item of specific physical condition: Part 1 (Subjects of all ages) For all subjects of all ages, the relationship between scalp redness and each specific physical condition item (relationships (B-1) to (B-37) shown below) was calculated using R (statistical analysis software). The mean, standard deviation, and standard error were calculated for all subjects of all ages, the group with the top 30% of scalp redness (group with severe scalp redness), and the group with the bottom 30% of scalp redness (group with mild scalp redness). The correlation coefficient R for all subjects of all ages was calculated, and the p-values ​​using the Mann-Whitney U test were calculated for the top 30% and bottom 30% groups.

[0280] (B-1) Relationship between scalp redness and hair curl level (B-2) Relationship between hair stiffness and scalp redness (B-3) Relationship between redness of the scalp and redness of the forehead (B-4) Relationship between redness of the scalp and yellowness of the forehead (B-5) Relationship between scalp redness and melanin levels on the forehead (B-6) Relationship between scalp redness and hemoglobin levels on the forehead (B-7) Relationship between scalp redness and forehead moisture content (B-8) Relationship between scalp redness and cheek brightness (B-9) Relationship between redness of the scalp and redness of the cheeks (B-10) Relationship between redness of the scalp and yellowness of the cheeks (B-11) Relationship between scalp redness and cheek melanin levels (B-12) Relationship between scalp redness and transepidermal water loss from the cheeks (B-13) Relationship between scalp redness and cheek elasticity (B-14) Relationship between scalp redness and cheek sagging level (B-15) Relationship between scalp redness and the level of sagging around the eyes (B-16) Relationship between scalp redness and the level of sagging at the corners of the mouth (B-17) Relationship between scalp redness and the number of facial pores (B-18) Relationship between facial pore area and scalp redness (B-19) Relationship between scalp redness and the area of ​​brown spots on the face (B-20) Relationship between scalp redness and facial UV spot area (B-21) Relationship between facial erythema area and scalp redness (B-22) Relationship between redness of the scalp and brightness of the arm (B-23) Relationship between redness of the arm and redness of the scalp (B-24) Relationship between redness of the scalp and yellowness of the arm (B-25) Relationship between scalp redness and melanin levels in the arm (B-26) Relationship between scalp redness and arm moisture content (B-27) Relationship between scalp redness and transepidermal water loss from the arm (B-28) Relationship between basal metabolic rate and scalp redness (B-29) Relationship between BMI and scalp redness (B-30) Relationship between scalp redness and body fat percentage (B-31) Relationship between scalp redness and visceral fat index (B-32) Relationship between scalp redness and muscle mass (B-33) Relationship between basal metabolic rate and body weight regarding scalp redness (B-34) Relationship between bone mass and body weight regarding scalp redness (B-35) Relationship between scalp redness and water content relative to body weight (B-36) Relationship between scalp redness and the degree of vascular aging (B-37) Relationship between scalp redness and vascular age

[0281] Tables 7 and 8 show the data obtained regarding the relationship between scalp redness and various items related to specific physical conditions (subjects of all ages).

[0282] [Table 7]

[0283] [Table 8]

[0284] According to the results shown in Tables 7 and 8, the following points were confirmed.

[0285] Regarding the relationship between scalp redness (B-1) and hair curl level, for all subjects across all age groups, the p-value between the hair curl level of the top 30% group with the highest scalp redness and the hair curl level of the bottom 30% group with the lowest scalp redness was less than 0.05. This indicates a strong correlation between increased scalp redness and higher hair curl levels, and between higher hair curl levels and increased scalp redness. Figure 25 shows a graph plotting the relationship between scalp redness (B-1) and hair curl level for each subject across all age groups.

[0286] Regarding (B-2) scalp redness and hair hardness, for all subjects of all ages, the p-value between hair hardness in the top 30% of scalp redness group and hair hardness in the bottom 30% of scalp redness group was less than 0.05. A high correlation was confirmed in both cases: the stronger the scalp redness, the softer the hair, and the softer the hair, the stronger the scalp redness. Figure 26 shows a graph plotting the relationship between (B-2) scalp redness and hair hardness for each subject of all ages.

[0287] Regarding the above (B-15) scalp redness and the level of outer corner of the eye sagging, for subjects of all ages, the p-value between the outer corner of the eye sagging level in the top 30% of scalp redness group and the outer corner of the eye sagging level in the bottom 30% of scalp redness group was less than 0.05. A high correlation was confirmed in both cases: a tendency for stronger scalp redness to correlate with a higher level of outer corner of the eye sagging, and a tendency for stronger scalp redness to correlate with a higher level of outer corner of the eye sagging. Figure 27 shows a graph plotting the relationship between (B-15) scalp redness and the level of outer corner of the eye sagging for each subject of all ages.

[0288] Regarding the relationship between scalp redness and arm moisture content (B-26) above, for all subjects of all ages, the p-value between arm moisture content in the top 30% of scalp redness group and arm moisture content in the bottom 30% of scalp redness group was less than 0.05. A high correlation was confirmed in both cases: the stronger the scalp redness, the lower the arm moisture content, and the lower the arm moisture content, the stronger the scalp redness. Figure 28 shows a graph plotting the relationship between (B-26) scalp redness and arm moisture content for each subject of all ages.

[0289] Regarding the relationship between scalp redness (B-27) and transepidermal water loss (TEW) in the arms, for subjects of all ages, the p-value between the TWD of the arms in the top 30% of scalp redness group and the TWD of the arms in the bottom 30% of scalp redness group was less than 0.05. This indicates a high correlation between stronger scalp redness and lower TWD, and between lower TWD and stronger scalp redness. Figure 29 shows a graph plotting the relationship between (B-27) scalp redness and TWD for each subject of all ages.

[0290] Regarding the relationship between scalp redness (B-29) and BMI, for all subjects of all ages, the p-value between the BMI of the top 30% group with the highest scalp redness and the BMI of the bottom 30% group with the lowest scalp redness was less than 0.05. This indicates a high correlation between stronger scalp redness and higher BMI, and between higher BMI and stronger scalp redness. Figure 30 shows a graph plotting the relationship between BMI and scalp redness (B-29) for each subject of all ages.

[0291] Regarding the relationship between scalp redness (B-30) and body fat percentage, for all subjects of all ages, the p-value between the body fat percentage of the top 30% group with the highest scalp redness and the body fat percentage of the bottom 30% group with the lowest scalp redness was less than 0.05. This indicates a high correlation between stronger scalp redness and higher body fat percentage, and between higher body fat percentage and stronger scalp redness. Figure 31 shows a graph plotting the relationship between (B-30) scalp redness and body fat percentage for each subject of all ages.

[0292] Regarding the relationship between scalp redness and visceral fat index (B-31) above, for subjects of all ages, the p-value between the visceral fat index of the top 30% group with the highest scalp redness and the visceral fat index of the bottom 30% group with the lowest scalp redness was less than 0.05. This indicates a high correlation between stronger scalp redness and a higher visceral fat index, and between a higher visceral fat index and stronger scalp redness. Figure 32 shows a graph plotting the relationship between scalp redness (B-31) and visceral fat index for each subject of all ages.

[0293] Regarding the relationship between scalp redness and muscle mass (B-32) described above, for subjects of all ages, the p-value between the muscle mass of the top 30% of scalp redness group and the muscle mass of the bottom 30% of scalp redness group was less than 0.05. A high correlation was confirmed in both cases: a tendency for stronger scalp redness to correlate with lower muscle mass, and a tendency for lower muscle mass to correlate with stronger scalp redness. Figure 33 shows a graph plotting the relationship between (B-32) scalp redness and muscle mass for each subject of all ages.

[0294] Regarding the relationship between scalp redness (B-33) and basal metabolic rate as a percentage of body weight, for subjects of all ages, the p-value between the basal metabolic rate as a percentage of body weight of the top 30% group with the highest scalp redness and the basal metabolic rate as a percentage of body weight of the bottom 30% group with the lowest scalp redness was less than 0.05. This indicates a high correlation between stronger scalp redness and lower basal metabolic rate as a percentage of body weight, and between lower basal metabolic rate as a percentage of body weight and stronger scalp redness. Figure 34 shows a graph plotting the relationship between scalp redness (B-33) and basal metabolic rate as a percentage of body weight for each subject of all ages.

[0295] Regarding the relationship between scalp redness and bone mass relative to body weight (B-34) above, for subjects of all ages, the p-value between bone mass relative to body weight in the top 30% of scalp redness group and bone mass relative to body weight in the bottom 30% of scalp redness group was less than 0.05, indicating a high correlation between stronger scalp redness and lower bone mass relative to body weight, and between stronger scalp redness and lower bone mass relative to body weight. However, for subjects limited to those in their 20s and 30s, the p-value between bone mass relative to body weight in the top 30% of scalp redness group and bone mass relative to body weight in the bottom 30% of scalp redness group was greater than 0.05, indicating no correlation between scalp redness and bone mass relative to body weight. Figure 35 shows a graph plotting the relationship between bone mass relative to body weight and scalp redness (B-34) for each subject of all ages.

[0296] Regarding the relationship between scalp redness (B-35) and water content relative to body weight, for all subjects of all ages, the p-value between the water content relative to body weight of the top 30% group with the highest scalp redness and the water content relative to body weight of the bottom 30% group with the lowest scalp redness was less than 0.05. A high correlation was confirmed in both cases: a tendency for stronger scalp redness to correlate with lower water content relative to body weight, and a tendency for lower water content relative to body weight to correlate with stronger scalp redness. Figure 36 shows a graph plotting the relationship between (B-35) scalp redness and water content relative to body weight for each subject of all ages.

[0297] Regarding the relationship between scalp redness and vascular age (B-37) above, for all subjects, the p-value between the vascular age of the top 30% group with the highest scalp redness and the vascular age of the bottom 30% group with the lowest scalp redness was less than 0.05. A high correlation was confirmed in both cases: a tendency for stronger scalp redness to correlate with higher vascular age, and a tendency for stronger scalp redness to correlate with higher vascular age. Figure 37 shows a graph plotting the relationship between scalp redness (B-37) and vascular age for each subject of all ages.

[0298] Furthermore, for the following relationships, the p-values ​​for each specific physical condition item in the top 30% group of scalp redness and each specific physical condition item in the bottom 30% group of scalp redness were greater than 0.05 for subjects of all ages, and no correlation was confirmed (Tables 7-8). Figure 38 shows a graph plotting the relationship between forehead yellowness and scalp redness (B-4), for subjects of all ages, where no correlation was confirmed. (B-3) Relationship between scalp redness and forehead redness, (B-4) Relationship between scalp redness and forehead yellowness, (B-5) Relationship between scalp redness and forehead melanin level, (B-6) Relationship between scalp redness and forehead hemoglobin level, (B-7) Relationship between scalp redness and forehead moisture content, (B-8) Relationship between scalp redness and cheek brightness, (B-9) Relationship between scalp redness and cheek redness, (B-10) Relationship between scalp redness and cheek yellowness, (B-11) Relationship between scalp redness and cheek melanin level, (B-12) Relationship between scalp redness and cheek transepidermal water loss, (B-13) Relationship between scalp redness and cheek elasticity, (B-14) Relationship between scalp redness and cheek sagging level, (B- 16) Relationship between scalp redness and the level of sagging of the corners of the mouth, (B-17) Relationship between scalp redness and the number of facial pores, (B-18) Relationship between scalp redness and the area of ​​facial pores, (B-19) Relationship between scalp redness and the area of ​​brown spots on the face, (B-20) Relationship between scalp redness and the area of ​​UV spots on the face, (B-21) Relationship between scalp redness and the area of ​​erythema on the face, (B-22) Relationship between scalp redness and the brightness of the arms, (B-23) Relationship between scalp redness and the redness of the arms, (B-24) Relationship between scalp redness and the yellowness of the arms, (B-25) Relationship between scalp redness and the melanin level of the arms, (B-28) Relationship between scalp redness and basal metabolic rate, (B-36) Relationship between scalp redness and the degree of vascular aging.

[0299] (B) Relationship between scalp redness and each item of specific physical condition: Part 2 (Subjects in their 20s and 30s, Subjects in their 40s and 50s) For each of the relationships shown above (B-1), (B-18), (B-26), (B-30), (B-32), (B-34), and (B-35), subjects in their 20s and 30s, and subjects in their 40s and 50s were respectively extracted from all subjects of all ages. A group with the top 30% of scalp redness (group with strong scalp redness) and a group with the bottom 30% of scalp redness (group with weak scalp redness) were then compared with all subjects in their 20s and 30s or all subjects in their 40s and 50s. Using R (statistical analysis software), we calculated the mean, standard deviation, and standard error for the relationship between scalp redness and each specific physical condition item for all subjects and for each group. We then calculated the correlation coefficient R for all subjects in their 20s and 30s, and for all subjects in their 40s and 50s. Finally, we calculated the p-values ​​using the Mann-Whitney U test for the top 30% and bottom 30% groups of subjects in their 20s and 30s, or for all subjects in their 40s and 50s.

[0300] Table 9 shows the data obtained regarding the relationship between scalp redness and each item related to specific physical conditions (subjects in their 20s and 30s, and subjects in their 40s and 50s).

[0301] [Table 9]

[0302] According to the results shown in Table 9, the following points were confirmed.

[0303] Regarding the relationship between scalp redness and hair curl level (B-1) above, for subjects limited to those in their 40s and 50s, the p-value between the hair curl level of the top 30% group with the highest scalp redness and the hair curl level of the bottom 30% group with the lowest scalp redness was below 0.05. This indicates a high correlation between stronger scalp redness and higher hair curl levels, and between higher hair curl levels and stronger scalp redness (similar to the trend observed in subjects of all ages). However, for subjects limited to those in their 20s and 30s, the p-value between the hair curl level of the top 30% group with the highest scalp redness and the hair curl level of the bottom 30% group with the lowest scalp redness was above 0.05, indicating no correlation between scalp redness and hair curl level.

[0304] Regarding the relationship between scalp redness and facial pore area (B-18) above, for subjects limited to those in their 40s and 50s, the p-value between the facial pore area of ​​the top 30% group with the highest scalp redness and the facial pore area of ​​the bottom 30% group with the lowest scalp redness was below 0.05. This indicates a high correlation between stronger scalp redness and smaller facial pore area, and between smaller facial pore area and stronger scalp redness. However, for subjects limited to those in their 20s and 30s, the p-value between the facial pore area of ​​the top 30% group with the highest scalp redness and the facial pore area of ​​the bottom 30% group with the lowest scalp redness was above 0.05, indicating no correlation between scalp redness and facial pore area (similar to the trend observed in subjects of all ages).

[0305] Regarding the relationship between scalp redness and arm moisture content (B-26) above, for subjects limited to those in their 40s and 50s, the p-value between arm moisture content in the top 30% of scalp redness group and arm moisture content in the bottom 30% of scalp redness group was less than 0.05. A high correlation was confirmed in both cases: a tendency for stronger scalp redness to correlate with lower arm moisture content, and a tendency for lower arm moisture content to correlate with stronger scalp redness (similar to the trend in subjects of all ages). However, for subjects limited to those in their 20s and 30s, the p-value between arm moisture content in the top 30% of scalp redness group and arm moisture content in the bottom 30% of scalp redness group was greater than 0.05, and no correlation was confirmed between scalp redness and arm moisture content.

[0306] Regarding the relationship between scalp redness and body fat percentage (B-30) mentioned above, for subjects limited to those in their 20s and 30s, the p-value between the body fat percentage of the top 30% group with the highest scalp redness and the body fat percentage of the bottom 30% group with the lowest scalp redness was less than 0.05. This indicates a high correlation between stronger scalp redness and higher body fat percentage, and between higher body fat percentage and stronger scalp redness (similar to the trend observed in subjects of all ages). However, for subjects limited to those in their 40s and 50s, the p-value between the body fat percentage of the top 30% group with the highest scalp redness and the body fat percentage of the bottom 30% group with the lowest scalp redness was greater than 0.05, indicating no correlation between scalp redness and body fat percentage.

[0307] Regarding the relationship between scalp redness and muscle mass (as described in (B-32) above), for subjects limited to those in their 20s and 30s, the p-value between the muscle mass of the top 30% of scalp redness group and the muscle mass of the bottom 30% group was less than 0.05, indicating a high correlation between stronger scalp redness and lower muscle mass, and between lower muscle mass and stronger scalp redness (similar to the trend observed in subjects of all ages). However, for subjects limited to those in their 40s and 50s, the p-value between the muscle mass of the top 30% of scalp redness group and the muscle mass of the bottom 30% group was greater than 0.05, indicating no correlation between scalp redness and muscle mass.

[0308] Regarding the relationship between scalp redness and bone mass relative to body weight (B-34) above, for subjects limited to those in their 40s and 50s, the p-value between bone mass relative to body weight in the top 30% of scalp redness group and bone mass relative to body weight in the bottom 30% of scalp redness group was less than 0.05. A high correlation was confirmed in both cases: a tendency for stronger scalp redness to correlate with lower bone mass relative to body weight, and a tendency for lower bone mass relative to body weight to correlate with stronger scalp redness (similar to the trend in subjects of all ages). However, for subjects limited to those in their 20s and 30s, the p-value between bone mass relative to body weight in the top 30% of scalp redness group and bone mass relative to body weight in the bottom 30% of scalp redness group was greater than 0.05, and no correlation was confirmed between scalp redness and bone mass relative to body weight.

[0309] Regarding the relationship between scalp redness and water content relative to body weight (B-35) above, for subjects limited to those in their 20s and 30s, the p-value between water content relative to body weight in the top 30% of scalp redness group and water content relative to body weight in the bottom 30% of scalp redness group was less than 0.05. A high correlation was confirmed in both cases: a tendency for stronger scalp redness to correlate with lower water content relative to body weight, and a tendency for lower water content relative to body weight to correlate with stronger scalp redness (similar to the trend in subjects of all ages). However, for subjects limited to those in their 40s and 50s, the p-value between water content relative to body weight in the top 30% of scalp redness group and water content relative to body weight in the bottom 30% of scalp redness group was greater than 0.05, and no correlation was confirmed between scalp redness and water content relative to body weight.

[0310] Furthermore, regarding (B-4) scalp redness and forehead yellowness, in both the subjects limited to those in their 20s and 30s, and the subjects limited to those in their 40s and 50s, the p-value between forehead yellowness in the top 30% of scalp redness groups and forehead yellowness in the bottom 30% of scalp redness groups was greater than 0.05, and no correlation was found between scalp redness and forehead yellowness (similar to the trend in subjects of all ages).

[0311] (C) Relationship between yellowing of the scalp and various specific physical conditions, Part 1 (Subjects of all ages) For all subjects of all ages, the relationship between scalp yellowness and each specific physical condition item (relationships (C-1) to (C-34) shown below) was calculated using R (statistical analysis software). The mean, standard deviation, and standard error were calculated for all subjects of all ages, the group with the top 30% of scalp yellowness (group with strong scalp yellowness), and the group with the bottom 30% of scalp yellowness (group with weak scalp yellowness). The correlation coefficient R for all subjects of all ages was calculated, and the p-values ​​using the Mann-Whitney U test were calculated for the top 30% and bottom 30% groups.

[0312] (C-1) Relationship between scalp yellowness and hair curl level (C-2) Relationship between hair stiffness and scalp yellowness (C-3) Relationship between yellowness of the scalp and redness of the forehead (C-4) Relationship between yellowness of the scalp and yellowness of the forehead (C-5) Relationship between yellowness of the scalp and hemoglobin levels on the forehead (C-6) Relationship between scalp yellowness and forehead moisture content (C-7) Relationship between the yellowness of the scalp and the brightness of the cheeks (C-8) Relationship between yellowness of the scalp and redness of the cheeks (C-9) Relationship between yellowness of the scalp and yellowness of the cheeks (C-10) Relationship between scalp yellowness and transepidermal water loss from the cheeks (C-11) Relationship between scalp yellowness and cheek sagging level (C-12) Relationship between the degree of sagging around the eyes and the yellowness of the scalp (C-13) Relationship between the degree of sagging of the corners of the mouth and the yellowness of the scalp (C-14) Relationship between the yellowness of the scalp and the number of pores on the face (C-15) Relationship between facial pore area and scalp yellowness (C-16) Relationship between the yellowness of the scalp and the area of ​​brown spots on the face (C-17) Relationship between the yellowness of the scalp and the area of ​​UV spots on the face (C-18) Relationship between the yellowness of the scalp and the area of ​​facial erythema. (C-19) Relationship between the yellowness of the scalp and the brightness of the arm (C-20) Relationship between yellowness of the scalp and redness of the arms (C-21) Relationship between yellowness of the scalp and yellowness of the arms (C-22) Relationship between yellowness of the scalp and melanin levels in the arm (C-23) Relationship between the yellowness of the scalp and the moisture content of the arm (C-24) Relationship between yellowness of the scalp and transepidermal water loss from the arm (C-25) Relationship between basal metabolic rate and yellowness of the scalp (C-26) Relationship between BMI and scalp yellowness (C-27) Relationship between scalp yellowness and body fat percentage (C-28) Relationship between scalp yellowness and visceral fat index (C-29) Relationship between scalp yellowness and muscle mass (C-30) Relationship between basal metabolic rate and body weight regarding yellowness of the scalp (C-31) Relationship between bone mass and body weight regarding yellowness of the scalp (C-32) Relationship between scalp yellowness and body weight and water content (C-33) Relationship between the degree of vascular aging and the yellowing of the scalp (C-34) Relationship between vascular age and yellowness of the scalp

[0313] Tables 10 and 11 show the data obtained regarding the relationship between scalp yellowness and various items related to specific physical conditions (subjects of all ages).

[0314] [Table 10]

[0315] [Table 11]

[0316] According to the results shown in Tables 10 to 11, the following points were confirmed.

[0317] Regarding the yellowness of the scalp and forehead (C-4) mentioned above, for all subjects of all ages, the p-value between the yellowness of the forehead in the top 30% of scalp yellowness groups and the yellowness of the forehead in the bottom 30% of scalp yellowness groups was less than 0.05. A high correlation was confirmed in both cases: the stronger the yellowness of the scalp, the stronger the yellowness of the forehead, and the stronger the yellowness of the forehead, the stronger the yellowness of the scalp. Figure 39 shows a graph plotting the relationship between the yellowness of the scalp and the yellowness of the forehead (C-4) for each subject of all ages.

[0318] Regarding (C-6) scalp yellowness and forehead moisture content, for all subjects of all ages, the p-value between forehead moisture content in the top 30% of scalp yellowness group and forehead moisture content in the bottom 30% of scalp yellowness group was less than 0.05. A high correlation was confirmed in both cases: the more yellow the scalp, the lower the forehead moisture content, and the lower the forehead moisture content, the more yellow the scalp. Figure 40 shows a graph plotting the relationship between (C-6) scalp yellowness and forehead moisture content for each subject of all ages.

[0319] Regarding the relationship between scalp yellowness and cheek brightness (C-7) above, for all subjects of all ages, the p-value between cheek brightness in the top 30% of scalp yellowness groups and cheek brightness in the bottom 30% of scalp yellowness groups was less than 0.05. A high correlation was confirmed in both cases: the stronger the scalp yellowness, the darker the cheeks tend to be, and the darker the cheeks, the stronger the scalp yellowness tend to be. Figure 41 shows a graph plotting the relationship between cheek brightness and scalp yellowness (C-7) for each subject of all ages.

[0320] Regarding the yellowness of the scalp and cheeks (C-9) mentioned above, for subjects of all ages, the p-value between the yellowness of the cheeks in the top 30% of scalp yellowness groups and the yellowness of the cheeks in the bottom 30% of scalp yellowness groups was less than 0.05. A high correlation was confirmed in both cases: the stronger the yellowness of the scalp, the stronger the yellowness of the cheeks, and the stronger the yellowness of the cheeks, the stronger the yellowness of the scalp. Figure 42 shows a graph plotting the relationship between the yellowness of the cheeks and the yellowness of the scalp (C-9) for each subject of all ages.

[0321] Regarding the above (C-12) correlation between scalp yellowness and the level of sagging around the eyes, for subjects of all ages, the p-value between the level of sagging around the eyes in the top 30% of scalp yellowness group and the level of sagging around the eyes in the bottom 30% of scalp yellowness group was greater than 0.05, indicating that no correlation was found between scalp yellowness and the level of sagging around the eyes. Figure 43 shows a graph plotting the relationship between (C-12) scalp yellowness and the level of sagging around the eyes for each subject of all ages.

[0322] Regarding the above (C-13) Scalp yellowness and the level of sagging at the corners of the mouth, for subjects of all ages, the p-value between the level of sagging at the corners of the mouth in the top 30% of scalp yellowness group and the level of sagging at the corners of the mouth in the bottom 30% of scalp yellowness group was less than 0.05. A high correlation was confirmed in both cases: the stronger the yellowness of the scalp, the higher the level of sagging at the corners of the mouth, and the higher the level of sagging at the corners of the mouth, the stronger the yellowness of the scalp. Figure 44 shows a graph plotting the relationship between (C-13) Scalp yellowness and the level of sagging at the corners of the mouth for each subject of all ages.

[0323] Regarding the above (C-14) scalp yellowness and facial pore count, for subjects of all ages, the p-value between the facial pore count of the top 30% group with the yellowest scalp and the facial pore count of the bottom 30% group with the yellowest scalp was less than 0.05. This indicates a high correlation between a stronger yellow scalp and a larger facial pore count, and a larger facial pore count and a stronger yellow scalp. Figure 45 shows a graph plotting the relationship between (C-14) scalp yellowness and pore count for each subject of all ages.

[0324] Regarding the above (C-16) scalp yellowness and facial brown spot area, for subjects of all ages, the p-value between the facial brown spot area of ​​the top 30% group with the highest scalp yellowness and the facial brown spot area of ​​the bottom 30% group with the lowest scalp yellowness was less than 0.05. A high correlation was confirmed in both cases: the stronger the scalp yellowness, the larger the facial brown spot area; and the larger the facial brown spot area, the stronger the scalp yellowness. Figure 46 shows a graph plotting the relationship between (C-16) scalp yellowness and facial brown spot area for each subject of all ages.

[0325] Regarding the above (C-21) yellowness of the scalp and yellowness of the arms, for subjects of all ages, the p-value between the yellowness of the arms in the top 30% of scalp yellowness groups and the yellowness of the arms in the bottom 30% of scalp yellowness groups was less than 0.05. A high correlation was confirmed in both cases: the stronger the yellowness of the scalp, the stronger the yellowness of the arms, and the stronger the yellowness of the arms, the stronger the yellowness of the scalp. Figure 47 shows a graph plotting the relationship between (C-21) yellowness of the scalp and yellowness of the arms for each subject of all ages.

[0326] Regarding the relationship between (C-31) scalp yellowness and bone mass relative to body weight, for all subjects of all ages, the p-value between bone mass relative to body weight in the top 30% of scalp yellowness group and bone mass relative to body weight in the bottom 30% of scalp yellowness group was less than 0.05. A high correlation was confirmed in both cases: a tendency for stronger scalp yellowness to correlate with lower bone mass relative to body weight, and a tendency for lower bone mass relative to body weight to correlate with stronger scalp yellowness. Figure 48 shows a graph plotting the relationship between (C-31) scalp yellowness and bone mass relative to body weight for each subject of all ages.

[0327] Regarding the relationship between (C-33) scalp yellowness and vascular aging, for all subjects of all ages, the p-value between the vascular aging degree of the top 30% group with the yellowest scalp and the vascular aging degree of the bottom 30% group with the yellowest scalp was less than 0.05. A high correlation was confirmed in both cases: a tendency for stronger scalp yellowness to correlate with a higher degree of vascular aging, and a tendency for stronger scalp yellowness to correlate with a higher degree of vascular aging. Figure 49 shows a graph plotting the relationship between (C-33) scalp yellowness and vascular aging degree for each subject of all ages.

[0328] Regarding the relationship between scalp yellowness (C-34) and vascular age, for all subjects across all age groups, the p-value between the vascular age of the top 30% group with the highest scalp yellowness and the vascular age of the bottom 30% group with the lowest scalp yellowness was less than 0.05. This indicates a high correlation between a stronger scalp yellowness and a higher vascular age, and between a stronger scalp yellowness and a higher vascular age. Figure 50 shows a graph plotting the relationship between scalp yellowness (C-34) and vascular age for each subject across all age groups.

[0329] Furthermore, for the following relationships, the p-values ​​for each specific physical condition item between the top 30% group with the yellowest scalp and each specific physical condition item between the bottom 30% group with the yellowest scalp were greater than 0.05 for all subjects of all ages, and no correlation was confirmed (Tables 10-11). Figure 51 shows a graph plotting the relationship between hair stiffness and scalp yellowness (C-2), for all subjects of all ages, where no correlation was confirmed. (C-1) Relationship between scalp yellowness and hair curl level, (C-2) Relationship between scalp yellowness and hair stiffness, (C-3) Relationship between scalp yellowness and forehead redness, (C-5) Relationship between scalp yellowness and forehead hemoglobin level, (C-8) Relationship between scalp yellowness and cheek redness, (C-10) Relationship between scalp yellowness and cheek water evaporation rate, (C-11) Relationship between scalp yellowness and cheek sagging level, (C-15) Relationship between scalp yellowness and facial pore area, (C-17) Relationship between scalp yellowness and facial UV spot area, (C-18) Relationship between scalp yellowness and facial erythema area, (C-19) Relationship between scalp yellowness and arm brightness, ( C-20) Relationship between scalp yellowness and arm redness, (C-22) Relationship between scalp yellowness and arm melanin level, (C-23) Relationship between scalp yellowness and arm moisture content, (C-24) Relationship between scalp yellowness and arm transepidermal water loss, (C-25) Relationship between scalp yellowness and basal metabolic rate, (C-26) Relationship between scalp yellowness and BMI, (C-27) Relationship between scalp yellowness and body fat percentage, (C-28) Relationship between scalp yellowness and visceral fat index, (C-29) Relationship between scalp yellowness and muscle mass, (C-30) Relationship between scalp yellowness and basal metabolic rate and body weight, (C-32) Relationship between scalp yellowness and body weight and water content

[0330] (C) Relationship between yellowing of the scalp and various specific physical conditions, Part 2 (Subjects in their 20s and 30s, Subjects in their 40s and 50s) In the relationships shown above in (C-2), (C-3), (C-4), (C-5), (C-6), (C-8), (C-9), (C-10), (C-18), (C-20), (C-21), (C-26), (C-28), (C-33), and (C-34), subjects in their 20s and 30s were extracted from all subjects, and subjects in their 40s and 50s were extracted separately, and the groups were divided into the top 30% of scalp yellowness (group with strong scalp yellowness), the bottom 30% of scalp yellowness (group with weak scalp yellowness), and 20 Using R (statistical analysis software), the mean, standard deviation, and standard error were calculated for the relationship between scalp redness and each item of specific physical condition for all subjects in their 20s and 30s, or all subjects in their 40s and 50s. The correlation coefficient R was calculated for all subjects in their 20s and 30s, and all subjects in their 40s and 50s. The p-values ​​using the Mann-Whitney U test were calculated for the top 30% and bottom 30% groups of subjects in their 20s and 30s, and for all subjects in their 40s and 50s.

[0331] Tables 12 and 13 show the data obtained regarding the relationship between scalp yellowness and various items related to specific physical conditions (subjects in their 20s and 30s, and subjects in their 40s and 50s).

[0332] [Table 12]

[0333] [Table 13]

[0334] According to the results shown in Tables 12 and 13, the following points were confirmed.

[0335] Regarding the above (C-3) scalp yellowness and forehead redness, for subjects limited to those in their 20s and 30s, the p-value between forehead redness in the top 30% of scalp yellowness group and forehead redness in the bottom 30% of scalp yellowness group was less than 0.05, indicating a high correlation between stronger scalp yellowness and stronger forehead redness, and vice versa. However, for subjects limited to those in their 40s and 50s, the p-value between forehead redness in the top 30% of scalp yellowness group and forehead redness in the bottom 30% of scalp yellowness group was greater than 0.05, indicating no correlation between scalp yellowness and forehead redness (similar to the trend in subjects of all ages).

[0336] Regarding the yellowness of the scalp and forehead (C-4) above, for subjects limited to those in their 20s and 30s, the p-value between the yellowness of the forehead in the top 30% of scalp yellowness group and the yellowness of the forehead in the bottom 30% of scalp yellowness group was less than 0.05, indicating a high correlation between a stronger yellowness of the scalp and a stronger yellowness of the forehead, and a stronger yellowness of the forehead and a stronger yellowness of the scalp (similar to the trend in subjects of all ages). However, for subjects limited to those in their 40s and 50s, the p-value between the yellowness of the forehead in the top 30% of scalp yellowness group and the yellowness of the forehead in the bottom 30% of scalp yellowness group was greater than 0.05, and no correlation was found between the yellowness of the scalp and the yellowness of the forehead.

[0337] Regarding the above (C-5) correlation between scalp yellowness and forehead hemoglobin levels, for subjects limited to those in their 20s and 30s, the p-value between the forehead hemoglobin levels of the top 30% group with the yellowest scalp and those of the bottom 30% group was less than 0.05. This indicates a strong correlation between a stronger scalp yellowness and a higher forehead hemoglobin level, and a stronger scalp yellowness and a higher forehead hemoglobin level. However, for subjects limited to those in their 40s and 50s, the p-value between the forehead hemoglobin levels of the top 30% group with the yellowest scalp and those of the bottom 30% group was greater than 0.05, indicating no correlation between scalp yellowness and forehead hemoglobin levels (similar to the trend observed in subjects of all ages).

[0338] Regarding the relationship between scalp yellowness and forehead moisture content (C-6) above, for subjects limited to those in their 40s and 50s, the p-value between forehead moisture content in the top 30% of scalp yellowness group and forehead moisture content in the bottom 30% group was less than 0.05. A high correlation was confirmed in both cases: the stronger the scalp yellowness, the lower the forehead moisture content, and the lower the forehead moisture content, the stronger the scalp yellowness (similar to the trend in subjects of all ages). However, for subjects limited to those in their 20s and 30s, the p-value between forehead moisture content in the top 30% of scalp yellowness group and forehead moisture content was greater than 0.05, and no correlation was confirmed between scalp yellowness and forehead moisture content.

[0339] Regarding the above (C-8) scalp yellowness and cheek redness, for subjects limited to those in their 20s and 30s, the p-value between cheek redness in the top 30% of scalp yellowness group and cheek redness in the bottom 30% of scalp yellowness group was less than 0.05, indicating a high correlation between stronger scalp yellowness and stronger cheek redness, and vice versa. However, for subjects limited to those in their 40s and 50s, the p-value between cheek redness in the top 30% of scalp yellowness group and cheek redness in the bottom 30% of scalp yellowness group was greater than 0.05, indicating no correlation between scalp yellowness and cheek redness (similar to the trend in subjects of all ages).

[0340] Regarding the yellowness of the scalp and cheeks (C-9) mentioned above, for subjects limited to those in their 20s and 30s, and for subjects limited to those in their 40s and 50s, the p-values ​​for the yellowness of the cheeks in the top 30% of scalp yellowness groups and the yellowness of the cheeks in the bottom 30% of scalp yellowness groups were both below 0.05. A high correlation was confirmed in both cases: the stronger the yellowness of the scalp, the stronger the yellowness of the cheeks, and the stronger the yellowness of the cheeks, the stronger the yellowness of the scalp (similar to the trend in subjects of all ages).

[0341] Regarding the relationship between scalp yellowness and transepidermal water loss (TEW) in the above (C-10), for subjects limited to those in their 40s and 50s, the p-value between the TEPCO of the top 30% of scalp yellowness and the TEPCO of the bottom 30% of scalp yellowness was below 0.05. This indicates a high correlation between a stronger scalp yellowness and lower TEPCO of the cheeks, and a stronger scalp yellowness and lower TEPCO of the cheeks. However, for subjects limited to those in their 20s and 30s, the p-value between the TEPCO of the top 30% of scalp yellowness and the TEPCO of the bottom 30% of scalp yellowness was above 0.05, indicating no correlation between scalp yellowness and TEPCO of the cheeks (similar to the trend in subjects of all ages).

[0342] Regarding the relationship between scalp yellowness and facial erythema area (C-18) mentioned above, for subjects limited to those in their 20s and 30s, the p-value between the facial erythema area of ​​the top 30% group with the highest scalp yellowness and the facial erythema area of ​​the bottom 30% group with the lowest scalp yellowness was below 0.05. This indicates a high correlation between a stronger scalp yellowness and a smaller facial erythema area, and a smaller facial erythema area and a stronger scalp yellowness. However, for subjects limited to those in their 40s and 50s, the p-value between the facial erythema area of ​​the top 30% group with the highest scalp yellowness and the facial erythema area of ​​the bottom 30% group with the lowest scalp yellowness exceeded 0.05, indicating no correlation between scalp yellowness and facial erythema area (similar to the trend observed in subjects of all ages).

[0343] Regarding the above (C-20) scalp yellowness and arm redness, for subjects limited to those in their 20s and 30s, the p-value between arm redness in the top 30% of scalp yellowness group and arm redness in the bottom 30% group was less than 0.05, indicating a high correlation between stronger scalp yellowness and stronger arm redness, and vice versa. However, for subjects limited to those in their 40s and 50s, the p-value between arm redness in the top 30% of scalp yellowness group and arm redness in the bottom 30% group was greater than 0.05, indicating no correlation between scalp yellowness and arm redness (similar to the trend in subjects of all ages).

[0344] Regarding the yellowness of the scalp and arms (C-21) mentioned above, for subjects limited to those in their 20s and 30s, the p-value between the yellowness of the arms in the top 30% of scalp yellowness group and the yellowness of the arms in the bottom 30% of scalp yellowness group was below 0.05, indicating a high correlation between a stronger yellowness of the scalp and a stronger yellowness of the arms, and a stronger yellowness of the arms and a stronger yellowness of the scalp (similar to the trend in subjects of all ages). However, for subjects limited to those in their 40s and 50s, the p-value between the yellowness of the arms in the top 30% of scalp yellowness group and the yellowness of the arms in the bottom 30% of scalp yellowness group was above 0.05, indicating no correlation between the yellowness of the scalp and the yellowness of the arms.

[0345] Regarding the relationship between scalp yellowness and BMI (C-26) mentioned above, for subjects limited to those in their 20s and 30s, the p-value between the BMI of the top 30% group with the yellowest scalp and the BMI of the bottom 30% group with the yellowest scalp was less than 0.05, indicating a strong correlation between a stronger yellow scalp and a higher BMI, and a strong yellow scalp and a higher BMI. However, for subjects limited to those in their 40s and 50s, the p-value between the BMI of the top 30% group with the yellowest scalp and the BMI of the bottom 30% group with the yellowest scalp was greater than 0.05, indicating no correlation between scalp yellowness and BMI (similar to the trend observed in subjects of all ages).

[0346] Regarding the relationship between scalp yellowness and visceral fat index (C-28) mentioned above, for subjects limited to those in their 40s and 50s, the p-value between the visceral fat index of the top 30% group with the highest scalp yellowness and the visceral fat index of the bottom 30% group with the lowest scalp yellowness was below 0.05. This indicates a high correlation between a stronger scalp yellowness and a higher visceral fat index, and a stronger scalp yellowness and a higher visceral fat index. However, for subjects limited to those in their 20s and 30s, the p-value between the visceral fat index of the top 30% group with the highest scalp yellowness and the visceral fat index of the bottom 30% group with the lowest scalp yellowness was above 0.05, indicating no correlation between scalp yellowness and visceral fat index (similar to the trend observed in subjects of all ages).

[0347] Regarding the correlation between scalp yellowness and vascular aging (C-33) above, for subjects limited to those in their 20s and 30s, the p-value between the vascular aging degree of the top 30% group with the yellowest scalp and the vascular aging degree of the bottom 30% group with the yellowest scalp was below 0.05. A high correlation was confirmed in both cases: a tendency for stronger scalp yellowness to correlate with a higher degree of vascular aging, and a tendency for stronger scalp yellowness to correlate with a higher degree of vascular aging (similar to the trend in subjects of all ages). However, for subjects limited to those in their 40s and 50s, the p-value between the vascular aging degree of the top 30% group with the yellowest scalp and the vascular aging degree of the bottom 30% group with the yellowest scalp exceeded 0.05, and no correlation was confirmed between scalp yellowness and vascular aging.

[0348] Regarding the relationship between scalp yellowness and vascular age (C-34) mentioned above, for subjects limited to those in their 20s and 30s, the p-value between the vascular age of the top 30% group with the yellowest scalp and the vascular age of the bottom 30% group was below 0.05. A high correlation was confirmed in both cases: a tendency for stronger scalp yellowness to correlate with higher vascular age, and a tendency for stronger scalp yellowness to correlate with higher vascular age (similar to the trend in subjects of all ages). However, for subjects limited to those in their 40s and 50s, the p-value between the vascular age of the top 30% group with the yellowest scalp and the vascular age of the bottom 30% group was above 0.05, indicating no correlation between scalp yellowness and vascular age.

[0349] Furthermore, regarding (C-2) above, the correlation between scalp yellowness and hair hardness was found to be greater than 0.05 in both the subjects limited to those in their 20s and 30s, and the subjects limited to those in their 40s and 50s, with respect to the hair hardness of the top 30% of scalp yellowness groups compared to the hair hardness of the bottom 30% of scalp yellowness groups. (This trend was similar to that observed in subjects of all ages.)

Claims

1. Based on the color of the subject's scalp, estimate other physical conditions of the subject, or The scalp color of the subject is estimated based on the subject's physical condition other than the color of the subject's scalp. Estimation method.

2. The aforementioned scalp color includes at least one of the following: scalp brightness, scalp redness, and scalp yellowness. The estimation method according to claim 1.

3. Other bodily conditions besides scalp color include at least one of the following: hair condition, facial skin condition, skin condition of the body other than the face and head, and internal bodily conditions. The estimation method according to claim 1 or 2.

4. The aforementioned scalp color includes scalp brightness. Other physical conditions besides scalp color include at least one of the following: hair hardness, cheek brightness, cheek melanin level, cheek water evaporation rate, cheek elasticity, cheek sagging level, crow's feet sagging level, corner of the mouth sagging level, number of facial pores, area of ​​brown spots on the face, area of ​​UV spots on the face, area of ​​wrinkles on the face, facial roughness, arm brightness, body fat percentage, visceral fat index, basal metabolic rate relative to body weight, bone mass relative to body weight, water content relative to body weight, degree of vascular aging, and vascular age. The estimation method according to claim 1 or 2.

5. The aforementioned scalp color includes redness of the scalp. Other physical conditions besides scalp color include at least one of the following: hair curl level, hair stiffness, eyelid sagging level, arm moisture content, arm transepidermal water loss, BMI, body fat percentage, visceral fat index, muscle percentage, basal metabolic rate relative to body weight, bone mass relative to body weight, water content relative to body weight, and vascular age. The estimation method according to claim 1 or 2.

6. The aforementioned scalp color includes a yellowish tint to the scalp. Other physical conditions besides scalp color include at least one of the following: yellowness of the forehead, moisture content of the forehead, brightness of the cheeks, yellowness of the cheeks, level of sagging around the corners of the eyes, level of sagging around the corners of the mouth, number of pores on the face, area of ​​brown spots on the face, yellowness of the arms, bone mass relative to body weight, degree of vascular aging, and vascular age. The estimation method according to claim 1 or 2.

7. The aforementioned subjects were in their 20s or 30s. The aforementioned scalp color includes scalp brightness. Other physical conditions besides scalp color include at least one of the following: yellowness of the forehead, area of ​​facial wrinkles, basal metabolic rate relative to body weight, bone mass relative to body weight, and vascular age. The estimation method according to claim 1 or 2.

8. The aforementioned subjects were in their 20s or 30s. The aforementioned scalp color includes redness of the scalp. Other physical conditions besides scalp color include at least one of the following: body fat percentage, muscle percentage, and water content relative to body weight. The estimation method according to claim 1 or 2.

9. The aforementioned subjects were in their 20s or 30s. The aforementioned scalp color includes a yellowish tint to the scalp. Other physical conditions besides scalp color include at least one of the following: redness of the forehead, yellowness of the forehead, hemoglobin level of the forehead, redness of the cheeks, yellowness of the cheeks, area of ​​facial erythema, redness of the arms, yellowness of the arms, BMI, degree of vascular aging, and vascular age. The estimation method according to claim 1 or 2.

10. The aforementioned subjects were in their 40s or 50s. The aforementioned scalp color includes scalp brightness. Other physical conditions besides scalp color include at least one of the following: hair stiffness, level of sagging around the eyes, melanin level in the arms, basal metabolic rate, and bone mass relative to body weight. The estimation method according to claim 1 or 2.

11. The aforementioned subjects were in their 40s or 50s. The aforementioned scalp color includes redness of the scalp. Other physical conditions besides scalp color include at least one of the following: hair curl level, facial pore area, arm moisture content, and bone mass relative to body weight. The estimation method according to claim 1 or 2.

12. The aforementioned subjects were in their 40s or 50s. The aforementioned scalp color includes a yellowish tint to the scalp. Other physical conditions besides scalp color include at least one of the following: forehead moisture content, cheek yellowness, transepidermal water loss from the cheeks, and visceral fat index. The estimation method according to claim 1 or 2.

13. Based on the estimation results of the physical condition other than scalp color obtained by the estimation method of claim 1 or 2, at least one of the following is selected for the subject: cosmetics, supplements, makeup application methods, coping methods, or lifestyle habits. Based on the estimated scalp color obtained by the estimation method of claim 1 or 2, at least one of the scalp cosmetic or scalp supplement recommended for the subject is selected. Selection method.

14. An estimation support tool that assists in estimating the physical condition of a subject other than the color of their scalp, An acquisition unit that acquires information indicating the color of the subject's scalp, A memory unit that stores information that serves as a comparison standard for scalp color, An estimation unit identifies estimated information about the subject's physical condition other than the color of the scalp, based on a comparison between the information acquired by the acquisition unit and the comparison standard information. An output unit that outputs the aforementioned estimated information, An estimation support tool equipped with [features / equipment].

15. An estimation support tool that assists in estimating the scalp color of a subject, An acquisition unit that acquires information indicating the physical condition of the subject other than the color of the scalp, A memory unit that stores information that serves as a comparison standard for the condition of the body other than scalp color, An estimation unit identifies estimated information about the scalp color of the subject based on a comparison between the information acquired by the acquisition unit and the comparison standard information. An output unit that outputs the aforementioned estimated information, An estimation support tool equipped with [features / equipment].

16. A method for estimating a subject's physical condition other than scalp color, or scalp color, using the estimation support tool described in claim 14 or 15.

17. Based on the color of the scalp before and after using cosmetics or supplements containing candidate ingredients, or before and after changes to candidate cosmetic methods, candidate treatment methods, or candidate lifestyle habits, the active ingredients of cosmetics or supplements, or effective cosmetic methods, effective treatment methods, or effective lifestyle habits are selected. Screening method.

18. The present invention includes the steps of selecting an active ingredient for a cosmetic or supplement using the screening method described in claim 17, and incorporating the selected active ingredient into the cosmetic or supplement. A method for manufacturing cosmetics or supplements.

19. The active ingredients for a scalp cosmetic or scalp supplement are selected based on the physical condition of the scalp, excluding scalp color, before and after use of the scalp cosmetic or scalp supplement containing the candidate ingredients. Screening method.

20. The present invention includes the steps of selecting an active ingredient for a scalp cosmetic or scalp supplement using the screening method described in claim 19, and incorporating the selected active ingredient into the scalp cosmetic or scalp supplement. A method for manufacturing scalp cosmetics or scalp supplements.

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