Estimation method, selection method, estimation support tool, method of estimation, screening method, and supplement manufacturing method

Abstract

To provide a novel estimation method, selection method, estimation support tool, method of estimation, screening method, and supplement manufacturing method.SOLUTION: The facial skin condition of a subject is estimated based on the condition of hair and / or scalp of the subject, or the condition of hair and / or scalp of a subject is estimated based on the facial skin condition of the subject.SELECTED DRAWING: Figure 7

Description

[Technical Field]

[0001] The present invention relates to an estimation method, a selection method, an estimation support tool, an estimation method, a screening method, and a method for manufacturing a supplement. [Background technology]

[0002] Conventionally, various estimation and diagnosis methods have been investigated to enable objective evaluation of human skin conditions. For example, Patent Document 1 (JP 2019-216652 A) reports that it is possible to diagnose skin 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 Application Publication No. 2019-216652 Summary of the Invention [Problem to be solved by the invention]

[0004] Generally, the condition of the skin is evaluated based on the results of an analysis of the skin itself to be evaluated. Similarly, in the evaluation of hair and / or scalp, the condition of the hair and / or scalp is evaluated based on the results of an analysis of the hair and / or scalp itself to be evaluated.

[0005] On the other hand, there is a demand for proposal of a new method for estimating the condition of the skin, or the condition of the hair and / or scalp, which does not rely on such conventional general 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, and method for producing a supplement. [Means for solving the problem]

[0007] The present inventors have conducted extensive research into items correlated with facial skin condition and hair and / or scalp condition. As a result, they have newly discovered that facial skin condition is related to hair and / or scalp condition. They have then focused on using the above relationship as a method for estimating facial skin condition or hair and / or scalp condition, and have completed the present invention.

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

[17] .

[0009] The estimation method of [1] estimates the facial skin condition of a subject based on the condition of the subject's hair and / or scalp, or The condition of the subject's hair and / or scalp is estimated based on the condition of the subject's facial skin.

[0010] The estimation method [2] is the estimation method [1] above, in which the condition of the hair and / or scalp includes at least one of the hair manageability level, hair aging level, number of hairs, number of gray hairs, gray hair level, scalp oil content, scalp redness level, scalp yellowness level, scalp mobility, and scalp moisture evaporation rate.

[0011] The estimation method [3] is the estimation method [1] or [2], wherein the facial skin condition includes at least one of the amount of moisture evaporation from the facial skin, the number of pores on the facial skin, the amount of melanin on the facial skin, the elasticity of the facial skin, the amount of oil on the facial skin, the roughness of the facial skin texture, and the level of wrinkles on the facial skin.

[0012] The estimation method [4] is an estimation method selected from [1] to [3], in which the hair and / or scalp condition includes at least one of the hair manageability level and the amount of water evaporation from the scalp, and the facial skin condition includes the amount of water evaporation from the facial skin.

[0013] The estimation method [5] is an estimation method selected from [1] to [4], in which the hair and / or scalp condition includes the amount of oil on the scalp, and the facial skin condition includes the number of pores on the facial skin.

[0014] The estimation method [6] is an estimation method selected from [1] to [5], wherein the hair and / or scalp condition includes at least one of the hair aging level, the number of hairs, the number of gray hairs, the redness level of the scalp, the yellowness level of the scalp, and the oil content of the scalp, and the facial skin condition includes the amount of melanin in the facial skin.

[0015] The estimation method [7] is an estimation method selected from [1] to [6], wherein the hair and / or scalp condition includes at least one of the hair aging level, the gray hair level, the scalp redness level, the scalp yellowness level, and the scalp mobility, and the facial skin condition includes the facial skin elasticity.

[0016] The estimation method [8] is an estimation method selected from [1] to [7], in which the hair and / or scalp condition includes the amount of oil on the scalp, and the facial skin condition includes the amount of oil on the facial skin.

[0017] The estimation method of [9] is an estimation method selected from [1] to [8], wherein the hair and / or scalp condition includes at least one of the gray hair level, the scalp redness level, the scalp yellowness level, and the scalp mobility, and the facial skin condition includes at least one of the facial skin texture coarseness and the facial skin wrinkle level.

[0018] The selection method of

[10] is to select a facial skin cosmetic or a facial skin supplement to be recommended to a subject according to the estimation result of the facial skin condition obtained by the estimation method selected from [1] to [9], or According to the estimation results of the hair and / or scalp condition obtained by the estimation method selected from [1] to [9], a hair and / or scalp treatment agent or a hair and / or scalp supplement to be recommended to the subject is selected.

[0019] The estimation support tool of

[11] is an estimation support tool that supports estimation of a subject's facial skin condition, and includes an acquisition unit, a memory unit, an estimation unit, and an output unit. The acquisition unit acquires information indicating the subject's hair and / or scalp condition. The memory unit stores information that serves as a comparison standard for the hair and / or scalp condition. The estimation unit identifies estimated information for the subject's facial skin condition based on a comparison between the information acquired by the acquisition unit and the information that serves as the comparison standard. The output unit outputs the estimated information.

[0020] The estimation support tool of

[12] is an estimation support tool that supports estimation of the condition of a subject's hair and / or scalp, and includes an acquisition unit, a memory unit, an estimation unit, and an output unit. The acquisition unit acquires information indicating the condition of the subject's facial skin. The memory unit stores information that serves as a comparison standard for the facial skin condition. The estimation unit identifies estimated information on the condition of the subject's hair and / or scalp based on a comparison between the information acquired by the acquisition unit and the information that serves as the comparison standard. The output unit outputs the estimated information.

[0021] The estimation method of

[13] uses the estimation support tool of

[11] or

[12] to estimate the condition of the subject's facial skin, or the condition of the hair and / or scalp.

[0022] The screening method in

[14] selects active ingredients for facial skin supplements based on the condition of hair and / or scalp before and after use of the supplement containing the candidate ingredients.

[0023] The manufacturing method of the supplement

[15] includes a step of selecting an active ingredient for a facial skin supplement using the screening method

[14] , and a step of blending the selected active ingredient into the supplement.

[0024] The screening method in

[16] selects active ingredients for hair and / or scalp supplements based on the condition of facial skin before and after use of the hair and / or scalp supplement containing the candidate ingredients.

[0025] The method for manufacturing the supplement in

[17] includes the steps of selecting an active ingredient for a hair and / or scalp supplement using the screening method in

[16] , and incorporating the selected active ingredient into the supplement. [Effects of the Invention]

[0026] The estimation method according to the present invention provides a novel method for estimating the condition of facial skin or the condition of hair and / or scalp. The selection method of the present invention makes it possible to select a facial skin cosmetic or facial skin supplement suitable for a subject, or to select a hair and / or scalp treatment agent or hair and / or scalp supplement suitable for a subject. The estimation support tool according to the present invention supports the above-described novel estimation method. The estimation method according to the present invention supports the above novel estimation method. The screening method according to the present invention makes it easy to select ingredients that are advantageous for improving the condition of facial skin. According to the manufacturing method of the present invention, a supplement capable of improving the condition of facial skin can be obtained. The screening method according to the present invention makes it easy to select components that are advantageous for improving the condition of hair and / or scalp. According to the manufacturing method of the present invention, a supplement capable of improving the condition of hair and / or scalp can be obtained. [Brief explanation of the drawings]

[0027] [Figure 1] FIG. 1 is a schematic front view of hair for explaining aging hair. [Figure 2] FIG. 1 is a schematic rear view of the head for explaining the degree of aging. [Figure 3] FIG. 2 is a schematic side view of the head for explaining sections of the head. [Figure 4] FIG. 2 is a diagram illustrating an example of a block configuration diagram of an estimation support tool. [Figure 5] FIG. 1 illustrates a manageability scale for assessing hair manageability levels. [Figure 6] 1 is a graph plotting the level of hair manageability against the amount of moisture lost from the cheeks. [Figure 7] 10 is a graph showing hair manageability levels for groups with low and high cheek moisture loss. [Figure 8] This is a graph showing the level of hair manageability for people in their 20s who have low and high cheek moisture evaporation. [Figure 9] This is a graph of hair manageability levels for groups with low and high cheek moisture evaporation (age 60s). [Figure 10] 1 is a graph plotting the amount of water loss from the scalp relative to the amount of water loss from the cheeks. [Figure 11] 10 is a graph showing the amount of water evaporation from the scalp for groups with low and high amounts of water evaporation from the cheeks. [Figure 12] This is a graph of scalp moisture loss (people in their 20s) for groups with low and high cheek moisture loss. [Figure 13] This is a graph of scalp moisture loss (for people in their 60s) for groups with low and high cheek moisture loss. [Figure 14] 1 is a graph plotting scalp moisture content against cheek moisture content. [Figure 15] This is a graph of scalp moisture content for groups with low and high cheek moisture content. [Figure 16] FIG. 1 is a diagram showing a top hair volume scale for evaluating top hair volume levels. [Figure 17] 1 is a graph plotting the level of hair volume on top of the face against the amount of moisture lost from the cheeks. [Figure 18] This is a graph showing the hair volume level on top for groups with low and high cheek moisture evaporation. [Figure 19] This is a graph plotting the amount of oil on the scalp against the number of pores on the face. [Figure 20] This is a graph of the amount of oil on the scalp for groups with few and many facial skin pores. [Figure 21] This is a graph of scalp oil content for people in their 20s, comparing facial skin with a small number of pores and a large number of pores. [Figure 22] This is a graph of scalp oil content for people in their 60s with a small number of facial pores and a large number of facial pores. [Figure 23] This is a graph plotting the amount of water loss from the scalp against the number of pores on the face. [Figure 24] 10 is a graph showing the amount of water evaporation from the scalp for groups with a small number of pores and groups with a large number of pores on the face. [Figure 25] FIG. 1 is a diagram showing an aging level scale for evaluating the aging level of hair. [Figure 26] This is a graph plotting the level of hair aging against the amount of melanin in the cheeks. [Figure 27] This is a graph showing the hair aging level for groups with low and high amounts of melanin in the cheeks. [Figure 28] This is a graph of hair aging levels for people in their 20s with low and high amounts of melanin in the cheeks. [Figure 29] This is a graph of hair aging levels (60s) for groups with low and high amounts of melanin in the cheeks. [Figure 30] 1 is a graph plotting the number of hairs against the amount of melanin on the cheek. [Figure 31] This is a graph showing the number of hairs for groups with low and high amounts of melanin on the cheeks. [Figure 32] This is a graph showing the number of hairs for people in their 20s with low and high amounts of melanin in the cheeks. [Figure 33] This is a graph of the number of hairs for people in their 60s with low and high amounts of melanin in the cheeks. [Figure 34] This is a graph plotting the number of gray hairs against the amount of melanin in the cheeks. [Figure 35] This is a graph showing the number of gray hairs for groups with low and high amounts of melanin in the cheeks. [Figure 36]This is a graph showing the number of gray hairs for people in their 20s with low and high amounts of melanin in their cheeks. [Figure 37] This is a graph (for people in their 60s) showing the number of gray hairs for groups with low and high amounts of melanin in the cheeks. [Figure 38] FIG. 1 illustrates a redness level scale for assessing scalp redness levels. [Figure 39] This is a graph plotting the level of scalp redness against the amount of melanin in the cheeks. [Figure 40] This is a graph of scalp redness levels for groups with low and high amounts of melanin in the cheeks. [Figure 41] This is a graph of scalp redness levels (for people in their 20s) for groups with low and high amounts of melanin in the cheeks. [Figure 42] This is a graph of scalp redness levels (for people in their 60s) for groups with low and high amounts of melanin in the cheeks. [Figure 43] FIG. 1 shows a yellowness level scale for assessing the yellowness level of the scalp. [Figure 44] This is a graph plotting the yellowness level of the scalp against the amount of melanin in the cheeks. [Figure 45] This is a graph showing the yellowness level of the scalp for groups with low and high amounts of melanin in the cheeks. [Figure 46] This is a graph showing the level of yellowness of the scalp for people in their 20s with low and high amounts of melanin in the cheeks. [Figure 47] This is a graph showing the level of yellowness of the scalp for groups with low and high amounts of melanin in the cheeks (people in their 60s). [Figure 48] This is a graph plotting the amount of scalp oil against the amount of melanin in the cheeks. [Figure 49] This is a graph of scalp oil content for groups with low and high cheek melanin content. [Figure 50] This is a graph plotting the amount of scalp water loss against the amount of melanin in the cheeks. [Figure 51] This is a graph of scalp water loss for groups with low and high amounts of melanin in the cheeks. [Figure 52] 1 is a graph plotting the level of hair aging against the level of cheek sagging. [Figure 53] 10 is a graph showing hair aging levels for groups with low and high cheek sagging levels. [Figure 54] This is a graph of hair aging levels (in people in their 20s) for groups with low and high levels of cheek sagging. [Figure 55] This is a graph of hair aging levels (60s) for groups with low and high levels of cheek sagging. [Figure 56] FIG. 1 shows a gray hair level scale for assessing gray hair levels. [Figure 57] 1 is a graph plotting the level of gray hair against the level of cheek sagging. [Figure 58] 10 is a graph showing the level of gray hair for groups with low and high levels of sagging cheeks. [Figure 59] 1 is a graph plotting scalp redness levels against cheek sagging levels. [Figure 60] 10 is a graph showing scalp redness levels for groups with low and high cheek sagging levels. [Figure 61] 1 is a graph plotting the level of yellowness of the scalp against the level of sagging cheeks. [Figure 62] 10 is a graph showing the yellowness level of the scalp for groups with low and high cheek sagging levels. [Figure 63] FIG. 1 shows a mobility scale for assessing scalp mobility. [Figure 64] 10 is a graph plotting the ease of scalp mobility against cheek sagging level. [Figure 65] 10 is a graph showing scalp mobility for groups with low and high cheek sagging levels. [Figure 66] This is a graph showing the ease of scalp movement for groups with low and high levels of cheek sagging (people in their 20s). [Figure 67] This is a graph showing the ease of scalp movement for groups with low and high levels of cheek sagging (ages 50 and over). [Figure 68] 1 is a graph plotting the amount of scalp water loss against cheek sagging level. [Figure 69] 10 is a graph showing the amount of water loss from the scalp for groups with low and high cheek sagging levels. [Figure 70] This is a graph plotting the amount of oil on the scalp against the amount of oil on the cheeks. [Figure 71] This is a graph of scalp oil content for groups with low and high cheek oil content. [Figure 72] This is a graph of scalp oil levels (for people in their 20s) for groups with low and high cheek oil levels. [Figure 73] This is a graph of scalp oil content (for people in their 60s) for groups with low and high cheek oil content. [Figure 74] 1 is a graph plotting the level of gray hair against the roughness of cheek texture. [Figure 75] 10 is a graph showing the gray hair level for groups with low and high cheek texture. [Figure 76] This is a graph showing the level of gray hair for people in their 20s with low and high cheek texture. [Figure 77] This is a graph of gray hair levels (for people in their 60s) for groups with low and high cheek texture. [Figure 78] 1 is a graph plotting scalp redness level against cheek texture roughness. [Figure 79] 10 is a graph of scalp redness levels for groups with low and high cheek roughness. [Figure 80] This is a graph showing the level of scalp redness for people in their 20s with low and high cheek texture. [Figure 81] This is a graph showing the level of scalp redness for people in their 60s with low and high cheek texture. [Figure 82] 1 is a graph plotting the yellowness level of the scalp against the roughness of the cheek texture. [Figure 83] 10 is a graph showing the yellowness level of the scalp for groups with low and high cheek roughness. [Figure 84] This is a graph showing the yellowness level of the scalp for people in their 20s with low and high cheek texture roughness. [Figure 85] This is a graph showing the level of yellowness of the scalp for people in their 60s with low and high cheek texture. [Figure 86] 1 is a graph plotting ease of scalp movement against cheek texture roughness. [Figure 87] This is a graph showing the ease of scalp mobility for groups with low and high cheek texture roughness. [Figure 88] This is a graph showing the ease of scalp movement for people in their 20s with low and high cheek texture. [Figure 89] This is a graph showing the ease of scalp movement for groups with low and high cheek texture roughness (60s). [Figure 90] 1 is a graph plotting the level of gray hair against the level of cheek wrinkles. [Figure 91] 10 is a graph showing the gray hair level for groups with low and high levels of cheek wrinkles. [Figure 92] This is a graph showing the level of gray hair (in people in their 20s) for groups with low and high levels of cheek wrinkles. [Figure 93] This is a graph showing the level of gray hair (60s) for groups with low and high levels of cheek wrinkles. [Figure 94] This is a graph plotting scalp redness levels against cheek wrinkle levels. [Figure 95] 10 is a graph showing scalp redness levels for groups with low and high levels of cheek wrinkles. [Figure 96] This is a graph of scalp redness levels (for people in their 20s) for groups with low and high levels of cheek wrinkles. [Figure 97] This is a graph of scalp redness levels (for people in their 60s) for groups with low and high levels of cheek wrinkles. [Figure 98] 1 is a graph plotting the level of yellowness of the scalp against the level of wrinkles on the cheeks. [Figure 99]10 is a graph showing the yellowness level of the scalp for groups with low and high levels of cheek wrinkles. [Figure 100] This is a graph showing the yellowness level of the scalp for groups with low and high levels of cheek wrinkles (people in their 20s). [Figure 101] This is a graph showing the yellowness level of the scalp for groups with low and high levels of cheek wrinkles (people in their 60s). [Figure 102] This is a graph plotting scalp mobility against cheek wrinkle level. [Figure 103] 10 is a graph showing scalp mobility for groups with low and high levels of cheek wrinkles. [Figure 104] This is a graph showing the ease of scalp mobility for groups with low and high levels of cheek wrinkles (people in their 20s). [Figure 105] This is a graph showing the ease of scalp mobility for groups with low and high levels of cheek wrinkles (60s). DETAILED DESCRIPTION OF THE INVENTION

[0028] Below, we will explain the estimation method, selection method, estimation support tool, estimation method, screening method, and supplement manufacturing method according to one embodiment of the present invention using examples, but these do not particularly limit the invention.

[0029] The estimation method, selection method, estimation support tool, estimation method, screening method, and supplement manufacturing method are all used for cosmetic purposes and are excluded from medical procedures. In the present invention, the terms "and / or" and "and / or" refer to both or either one of the two.

[0030] (1) First embodiment The following describes the estimation method, selection method, estimation support tool, estimation method, screening method, and supplement manufacturing method according to the first embodiment as examples.

[0031] (1-1) Estimation method The estimation method of the first embodiment is a method for estimating the condition of a subject's facial skin based on the condition of the subject's hair and / or scalp. This estimation method makes it possible to estimate the condition of the subject's facial skin using a novel method. The estimation method of the first embodiment may also be an evaluation method for cosmetic purposes that evaluates the condition of the subject's facial skin based on the condition of the subject's hair and / or scalp. In addition, it is preferable that the evaluation of the condition of the hair and / or scalp in the estimation method is carried out by comparison under the same conditions.

[0032] (Hair condition) The hair condition may include, for example, the level of hair manageability, the level of hair aging, the number of hairs, the number of gray hairs, and the level of gray hair.

[0033] The level of manageability of hair can be determined by comparing the visual impression of hair ends with a predetermined manageability scale. The level of manageability of hair can be determined as follows: the more tangled the ends are and the more each hair is pointing inward, the worse the manageability (low hair manageability), and the more hair is in a clump all the way to the ends and each individual hair is less noticeable (high hair manageability).

[0034] The aging level of hair can be determined according to at least one of the following: the more wavy hairs there are, the higher the aging level; the stronger the degree of wavy hair, or the lower the part of the head where wavy hairs occur, the higher the aging level. The aging level of hair is preferably determined to be high when all of the following conditions are satisfied: the number of wavy hairs is greater than a predetermined number, the degree of wavy hair is greater than a predetermined level, and the part of the head where wavy hairs occur is lower than the predetermined level; and it is more preferable that the aging level of hair is determined to be high when the number of hairs with wavy hairs stronger than a predetermined level in a part of the head below the predetermined level is greater than a predetermined number.

[0035] The above-mentioned wavy hair (kinky hair) is also called "aging hair" because it becomes more easily visible with age. This aging hair occurs in a part of multiple hairs and is an irregularly shaped hair that is different in shape from the other surrounding hairs, and its wavy shape makes it easily visible even in a hair bundle.

[0036] As age progresses, there is a tendency for wavy hair (aging hair) to increase. FIG. 1(A) shows an example of aged hair with an S-shaped wave, and non-aged hair, which is used as a comparison with this aged hair, has the shape shown in FIG. 1(B). FIG. 1(C) shows an example of aged hair with a more pronounced wave than the aged hair in FIG. 1(A), in which thick and thin parts are mixed. This mixture is more likely to be observed in terminal hair than in vellus hair. Furthermore, based on experience, the aged hair shape has been confirmed at the roots of hair and in hair that grows out of pores after hair loss, so it is thought that the wave shape unique to aged hair is more likely to be observed at the roots.

[0037] Aged hair can appear individually on each individual hair, and in that sense it is distinguished from so-called curly hair or permed hair, in which a certain number of hairs are wavy in the same way. Furthermore, among a group of non-linear hairs such as curly hair or permed hair, aged hair has a more prominent wavy shape than the group of hairs. As aging progresses, the degree of hair waviness in aging hair tends to increase.

[0038] When the head is divided into three sections, the top, middle, and nape, it has been confirmed that hair aging tends to progress in the order of the top, middle, and nape, as shown in Figures 2(A) to 2(D), that is, the lower the part of the head where wavy hair occurs, the more advanced the hair aging tends to be. Therefore, for example, if a large number of aged hairs are observed not only in the top and middle hair groups but also in the nape hair group, it means that hair aging is more advanced.

[0039] The division into three sections - top, middle, and nape - is similar to the three-section concept in haircutting terminology, as shown in Figure 3. Specifically, the top, also known as the over, is the area between the top of the head and the horizontal line passing through the temple point. The temple point is the most protruding part of the hairline. The middle is the area between the horizontal line passing through the temple point and the horizontal line passing through the bangs. The bangs is the deepest part of the back of the head. The nape is the area between the horizontal line passing through the bangs and the horizontal line passing through the nape. The bangs is the lowest part of the nape.

[0040] The hair aging level may be determined, for example, according to the impression of the hair on top. Furthermore, it may also be determined according to the impression of the hair above the temples, among the hair on top. For example, in evaluating the hair aging level, it is preferable to visually evaluate the impression of the hair above the temples and compare it with a predetermined aging level scale (such as a photograph). The temples are the parts of the hair on top that are located above the ears and protrude most from the temporal region.

[0041] The number of hairs can be the number of hairs per given area of ​​the scalp, and for example, it is preferable to count the number of hairs per given area in a region of the scalp within a radius of 3 cm from the highest point on the top of the head, excluding the parting and the area around the whorl.

[0042] The number of gray hairs can be the number of gray hairs per specified area of ​​the scalp, and for example, it is preferable to count the number of gray hairs per specified area in a part of the scalp within a radius of 3 cm from the highest point on the top of the head, excluding the parting and the area around the whorl.

[0043] The gray hair level may be determined according to a predetermined gray hair scale (gray scale), where the more gray hairs there are, the higher the gray hair level. The gray hair level is preferably determined, for example, for hair in a scalp area within a 3 cm radius from the highest point on the top of the head, excluding the parting and the area around the whorl. The gray hair scale may have a plurality of predetermined levels, such as no to a few gray hairs, 5% or less gray hairs, approximately 10% gray hairs, approximately 20-30% gray hairs, and 50% or more gray hairs.

[0044] (Scalp condition) Examples of scalp conditions include the amount of oil on the scalp, the level of redness on the scalp, the level of yellowness on the scalp, ease of movement on the scalp, and the amount of moisture lost from the scalp.

[0045] The amount of oil on the scalp can be the amount of oil on the scalp before or after treatment with a hair treatment agent such as shampoo. The amount of oil on the scalp may be, for example, the amount of oil in a region of the scalp within a radius of 3 cm from the highest point on the top of the head, excluding the parting and the area around the whorl. The amount of oil on the scalp may also be the weight of oil per predetermined area in that region of the scalp. The amount of oil on the scalp may be measured using a known measuring device capable of measuring scalp oil (e.g., Sebumeter SM815 (Courage+Khazaka electronic GmbH)).

[0046] The scalp redness level can be the degree to which the scalp feels red by visual evaluation or observation using an image acquisition means such as a microscope. The scalp redness level may be determined, for example, for a scalp area within a 3 cm radius from the highest point on the top of the head, excluding the parting and the area around the whorl.

[0047] The yellowness level of the scalp can be determined by visual evaluation or by observation using an image acquisition means such as a microscope, and can be determined, for example, for a scalp area within a 3 cm radius from the highest point on the top of the head, excluding the parting and the area around the whorl.

[0048] The ease of scalp movement can be determined according to a sensory evaluation by palpation. For example, the ease of scalp movement may be determined as the greater the distance the scalp moves when lightly pressing the temporal region and moving the thumb from bottom to top.

[0049] The amount of water evaporation from the scalp can be, for example, the amount of water evaporation from the entire scalp, or the amount of water evaporation per predetermined area of ​​a predetermined part of the scalp. Preferably, it is the amount of water evaporation per predetermined area of ​​the scalp within a 3 cm radius from the highest point on the top of the head, excluding the area around the parting and whorl. The amount of water evaporation from the scalp can be determined, for example, by measuring the transepidermal water loss (TEWL) of the scalp. This transepidermal water evaporation (TEWL) can be measured, for example, using a known closed or open-type water evaporation meter (such as the TEWL VAPO SCAN AS-VT100RS (Asahi Techno Lab Co., Ltd.)). Note that a high amount of water evaporation from the scalp corresponds to a high degree of scalp dryness.

[0050] (Facial skin condition) Examples of the condition of the facial skin include the amount of moisture evaporation from the facial skin, the number of pores on the facial skin, the amount of melanin in the facial skin, the elasticity of the facial skin, the amount of oil in the facial skin, the roughness of the facial skin texture, and the level of wrinkles on the facial skin.

[0051] The amount of water evaporation from facial skin can be, for example, the amount of water evaporation from the entire face or the amount of water evaporation per predetermined area of ​​a predetermined part of the face, and is preferably the amount of water evaporation per predetermined area of ​​the cheek. The amount of water evaporation from facial skin can be determined, for example, by measuring the transepidermal water loss (TEWL) of facial skin. This transepidermal water evaporation (TEWL) of facial skin can be measured, for example, using a known closed-type or open-type water evaporation meter (such as the TEWL VAPO SCAN AS-VT100RS (Asahi Techno Lab Co., Ltd.)). Note that a high amount of water evaporation from facial skin corresponds to a high degree of dryness of the facial skin.

[0052] The number of pores on the face can be, for example, the number of pores on the entire face or the number of pores per predetermined area on a predetermined part of the face. When counting the number of pores on the face, it is preferable to count only large pores that are equal to or larger than a predetermined size. Note that a large number of pores on the face corresponds to the pores being more noticeable on the face. Furthermore, the number of pores on the facial skin may be measured using a known measuring device capable of measuring the number of pores (for example, VISIA Generation 7 (Canfield Scientific Inc.)).

[0053] The amount of melanin in facial skin can be, for example, the amount of melanin in the entire face or the amount of melanin per predetermined area in a predetermined part of the face, and is preferably the amount of melanin per predetermined area of ​​the cheek. Note that a high amount of melanin in facial skin corresponds to a high number of blemishes and / or a high degree of dullness in the facial skin. Furthermore, the amount of melanin in facial skin may be measured using a known measuring device capable of measuring the amount of melanin in facial skin (for example, ANTERA 3D CS (Miravex)).

[0054] The elasticity of the facial skin may be determined, for example, according to the level of sagging of a specific part of the face, and is preferably determined according to the level of sagging of the cheeks. Note that less elasticity of the facial skin corresponds to more sagging of the facial skin. Furthermore, the measurement of facial skin elasticity may be carried out using a known measuring device capable of measuring facial skin elasticity (for example, Cutometer (Integral Corporation)).

[0055] The amount of oil on facial skin can be the amount of oil on facial skin before or after treatment with a facial cleanser or the like, but is preferably the amount of oil on facial skin after treatment with a facial cleanser or the like. The amount of oil on facial skin may be, for example, the amount of oil on the entire face, or the amount of oil per predetermined area on a predetermined part of the face. The amount of oil on facial skin may also be the weight of oil per predetermined area on a predetermined part of the facial skin (e.g., cheek). The amount of oil on facial skin may be measured using a known measuring device capable of measuring the amount of oil on facial skin (e.g., Sebumeter SM815 (Courage+Khazaka electronic GmbH)).

[0056] The roughness of facial skin texture can be determined, for example, by at least one of the number, depth, and width of convex and concave portions of the skin of the entire face, or by at least one of the number, depth, and width of convex and concave portions per predetermined area (e.g., per predetermined area of ​​less than 1 cm × 1 cm) of a predetermined portion of the face (e.g., cheek). In this case, the greater the number of convex and concave portions, the greater the height of the convex and concave portions, and the greater the width of the convex and concave portions, the rougher the skin texture. More specifically, the roughness of facial skin texture can be determined as the vertical deviation between an ideal skin surface (e.g., a skin surface without irregularities) and the subject's skin surface. In this case, a larger deviation indicates a rougher skin texture, and a smaller deviation indicates a smoother skin surface. This roughness of the skin texture can be determined, for example, by adding the area of ​​the convex parts above the center line on the subject's skin surface to the area of ​​the concave parts, and dividing the sum by a reference length to obtain the arithmetic mean roughness Ra, which is the average of the areas of the convex parts and the concave parts. Furthermore, the roughness of facial skin texture may be measured using a known measuring device capable of measuring the roughness of facial skin texture (for example, ANTERA 3D CS (Miravex)).

[0057] The wrinkle level of facial skin can be determined, for example, by at least one of the number, depth, width, and length of wrinkles on the entire face, or at least one of the number, depth, width, and length of wrinkles per predetermined area (e.g., per predetermined area of ​​1 cm x 1 cm or more) of a predetermined portion of the face (e.g., cheek). In this case, the greater the number of wrinkles, the deeper the wrinkles, the wider the wrinkles, and the longer the wrinkles, the higher the wrinkle level. More specifically, the wrinkle level of facial skin can be determined by the vertical deviation between an ideal skin surface (e.g., a smooth skin surface) and the depressions on the subject's skin surface. In this case, a larger deviation indicates a higher wrinkle level, and a smaller deviation indicates a lower wrinkle level and a smoother skin surface. It is preferable to evaluate wrinkles on facial skin, not wrinkles such as those at the corners of the eyes that only appear when facial expression changes, but wrinkles such as small wrinkles on the cheeks that are always present. Furthermore, the level of facial wrinkles may be classified according to the measurement values ​​of facial wrinkles obtained using a known measuring device capable of measuring facial wrinkles (for example, ANTERA 3D CS (Miravex)).

[0058] The wrinkle level of facial skin may be determined by an evaluation method conforming to the "Guidelines for Evaluating Anti-Wrinkle Products for Acquiring New Efficacy" in the "Guidelines for Evaluating Cosmetic Function" of the Japan Cosmetic Science Society. For example, the wrinkle level may be determined based on the measurement results of facial wrinkles by any of visual evaluation, photographic evaluation, and instrumental evaluation using the wrinkle grade, which is the wrinkle evaluation standard listed in the guidelines.

[0059] (Estimation of facial skin condition based on hair and / or scalp condition) In the estimation method of the first embodiment, from the viewpoint of enabling objective estimation, it is preferable to compare the subject's hair and / or scalp condition with a predetermined comparison standard for the hair and / or scalp condition and estimate the facial skin condition based on the comparison result. Here, the predetermined comparison standard for the hair and / or scalp condition may be one or more, and may be a standard for the hair and / or scalp condition corresponding to an average facial skin condition, or a standard for the hair and / or scalp condition corresponding to a facial skin condition worse than average. Furthermore, multiple comparison standards may be set according to age, such as by age or by generation.

[0060] The relationship between the condition of the hair and / or scalp and the condition of the facial skin in the estimation method of the first embodiment may be estimated, from the viewpoint of highly reliable estimation, as follows: (1-a) estimation of the amount of water evaporation from the facial skin based on at least one of the hair manageability level and the amount of water evaporation from the scalp; (1-b) estimation of the number of pores in the facial skin based on the amount of oil on the scalp; (1-c) estimation of the amount of melanin in the facial skin based on at least one of the hair aging level, the number of hairs, the number of gray hairs, the redness level of the scalp, the yellowness level of the scalp, and the oil amount on the scalp; and (1-d) estimation of the hair aging level. (1-e) estimation of facial skin elasticity based on at least one of the gray hair level, scalp redness level, scalp yellowness level, and scalp mobility; (1-f) estimation of facial skin roughness based on at least one of the gray hair level, scalp redness level, scalp yellowness level, and scalp mobility; (1-g) estimation of facial skin wrinkle level based on at least one of the gray hair level, scalp redness level, scalp yellowness level, and scalp mobility.

[0061] The estimation method of the first embodiment also makes it possible to predict, for example, any of the following: -Predicting the future state of facial skin moisture loss when at least one of the hair manageability level and scalp moisture loss state changes from the current state. -Predicting the future number of pores on the face when the scalp oil content changes from the current state -Prediction of future melanin levels in facial skin when at least one of the following conditions changes from the current state: hair aging level, number of hairs, number of gray hairs, scalp redness level, scalp yellowness level, and scalp oil content. Predicting the future state of facial skin elasticity when at least one of the following changes from the current state: hair aging level, gray hair level, scalp redness level, scalp yellowness level, and scalp mobility level. -Prediction of future facial oil levels when scalp oil levels change from the current state Prediction of future facial skin roughness when at least one of the following conditions changes from the current state: gray hair level, scalp redness level, scalp yellowness level, and scalp mobility. Predicting the future level of facial wrinkles when at least one of the following conditions changes from the current state: gray hair level, scalp redness level, scalp yellowness level, and scalp mobility.

[0062] (1-a) Estimation of facial skin water loss based on at least one of hair manageability and scalp water loss In estimating the amount of water evaporation from facial skin based on at least one of the hair manageability level and the amount of water evaporation from the scalp, it can be estimated that the worse the hair manageability level (the lower the hair manageability level) and the greater the amount of water evaporation from the scalp, the greater the amount of water evaporation from the facial skin and the drier the facial skin is. Note that in this estimation, it is preferable to estimate the amount of water evaporation from the cheeks based on at least one of the hair manageability level at the ends of the hair and the amount of water evaporation from the scalp in areas other than the parting of the hair.

[0063] (1-b) Estimation of the number of pores on facial skin based on the amount of scalp oil In estimating the number of pores on the face based on the amount of oil on the scalp, it can be estimated that the greater the amount of oil on the scalp, the greater the number of pores on the face. Note that, in this estimation, it is preferable to estimate the number of pores on the entire face based on the amount of oil on the scalp other than the parting of the hair.

[0064] (1-c) Estimation of the amount of melanin in facial skin based on at least one of the aging level of hair, the number of hairs, the number of gray hairs, the redness level of scalp, the yellowness level of scalp, and the oil content of scalp In estimating the amount of melanin in facial skin based on at least one of the hair aging level, number of hairs, number of gray hairs, scalp redness level, scalp yellowness level, and scalp oil content, it can be estimated that the higher the hair aging level, the fewer the number of hairs, the more gray hairs, the higher the scalp redness level, the higher the scalp yellowness level, and the lower the scalp oil content, the higher the amount of melanin in facial skin. Note that in this estimation, it is preferable to estimate the amount of melanin in the cheeks based on at least one of the hair aging level for the hair group above the temples, the number of hairs in the area other than the parting, the number of gray hairs, the scalp redness level, the scalp yellowness level, and the scalp oil content.

[0065] In addition, from the viewpoint of enabling reliable estimation across a wide range of age groups, it is preferable to estimate the amount of melanin in facial skin based on at least one of the hair aging level, the number of hairs, the number of gray hairs, the redness level of the scalp, and the yellowness level of the scalp.

[0066] (1-d) Estimation of facial skin elasticity based on at least one of hair aging level, gray hair level, scalp redness level, scalp yellowness level, and scalp mobility. In estimating facial skin elasticity based on at least one of the hair aging level, gray hair level, scalp redness level, scalp yellowness level, and scalp mobility, it can be estimated that the higher the hair aging level, gray hair level, scalp redness level, scalp yellowness level, and scalp mobility, the lower the facial elasticity. Note that in this estimation, it is preferable to estimate cheek elasticity based on at least one of the hair aging level and gray hair level for the hair group above the temples, the scalp redness level and scalp yellowness level in areas other than the parting, and the scalp mobility at the temples.

[0067] In addition, from the viewpoint of enabling a reliable estimation across a wide range of ages, it is preferable to estimate the elasticity of facial skin based on at least one of the aging level of hair and ease of movement of the scalp.

[0068] (1-e) Estimation of facial oil content based on scalp oil content In estimating the oil content of facial skin based on the oil content of the scalp, it can be estimated that the greater the oil content of the scalp, the greater the oil content of the facial skin. In this estimation, it is preferable to estimate the oil content of the cheeks based on the oil content of the scalp in areas other than the parting of the hair.

[0069] (1-f) Estimation of facial skin roughness based on at least one of gray hair level, scalp redness level, scalp yellowness level, and scalp mobility. In estimating the roughness of facial skin texture based on at least one of the gray hair level, scalp redness level, scalp yellowness level, and scalp mobility, it can be estimated that the higher the gray hair level, the higher the scalp redness level, the higher the scalp yellowness level, and the more difficult the scalp is to move, the rougher the facial skin texture. In this estimation, it is preferable to estimate the roughness of cheek texture based on at least one of the gray hair level, scalp redness level in areas other than the parting, scalp yellowness level, or scalp mobility at the temporal region.

[0070] (1-g) Estimation of facial skin wrinkle level based on at least one of gray hair level, scalp redness level, scalp yellowness level, and scalp mobility. In estimating the wrinkle level of facial skin based on at least one of the gray hair level, scalp redness level, scalp yellowness level, and scalp mobility, it can be estimated that the higher the gray hair level, the higher the scalp redness level, the higher the scalp yellowness level, and the more difficult the scalp is to move. Note that in this estimation, it is preferable to estimate the cheek wrinkle level based on at least one of the gray hair level, scalp redness level in areas other than the parting, scalp yellowness level, and scalp mobility at the temporal region.

[0071] (1-2) Selection method The selection method of the first embodiment selects a facial skin cosmetic or a facial skin supplement to be recommended to a subject based on the estimation results obtained by the estimation method (1-1) above. This selection method makes it possible to select a facial skin cosmetic or a facial skin supplement that is suitable for the subject.

[0072] The cosmetic preparation for facial skin is applied by spreading it on the facial skin of the subject, and may be in the form of a milky lotion, cream, lotion, oil, pack, or powder. Note that the "cosmetic preparation for facial skin" may be in the form of a quasi-drug or cosmetic product (the same applies to the following description).

[0073] The facial skin supplement is intended for oral ingestion by the subject and may be in the form of a tablet, powder, or liquid. The "facial skin supplement" may also be in the form of a quasi-drug or a food product (including general foods, foods with nutrient functions, foods with functional claims, and foods for specified health uses) (the same applies to the following descriptions). Preferably, the selection method involves selecting a facial skin cosmetic or facial skin supplement for a subject whose hair and / or scalp condition is estimated to be poor in relation to a predetermined comparison standard for hair and / or scalp condition (a subject whose hair and / or scalp condition is estimated to be poor in relation to the facial skin condition item being estimated), based on the comparison result. Here, the predetermined comparison standard for hair and / or scalp condition may be one or more, and may be a standard for hair and / or scalp condition corresponding to an average facial skin condition, or a standard for hair and / or scalp condition corresponding to a worse-than-average facial skin condition. It is preferable that the type of cosmetic or supplement for facial skin selected corresponds to the estimated condition of the facial skin in relation to the condition of the hair and / or scalp.

[0074] For example, in the estimation of facial skin moisture loss based on at least one of the above (1-a) hair manageability level and scalp moisture loss, for subjects who are evaluated as having poor hair manageability (low hair manageability level) or high scalp moisture loss, a facial skin cosmetic (e.g., emulsion, cream, lotion, pack, powder) or facial skin supplement (e.g., tablet, powder, liquid) for suppressing facial skin dryness can be selected and recommended for use. The facial skin cosmetic or facial skin supplement for suppressing facial skin dryness may contain, for example, a known moisturizing component. Examples of known moisturizing components include one or more moisturizing components or emollient components. Examples of moisturizing components or emollient components include oily components such as ceramides, proteins such as hydrolyzed proteins and collagen, polyphenols, amino acids, amino acid derivatives, vitamins, vitamin derivatives, anti-inflammatory components, antioxidant components, and polyhydric alcohols.

[0075] For subjects who are evaluated as having a high scalp oil content in the above (1-b) estimation of the number of facial skin pores based on the amount of scalp oil, a facial skin cosmetic or a facial skin supplement for reducing the visibility of pores can be selected and recommended for use. The facial skin cosmetic (e.g., emulsion, cream, lotion, pack, powder) or facial skin supplement (e.g., tablet, powder, liquid) for reducing the visibility of pores can be, for example, a facial skin cosmetic containing one or more cleansing agents for washing away facial oils, a facial skin cosmetic containing one or more ingredients effective in improving skin elasticity or one or more astringent ingredients for tightening pores, or a facial skin supplement containing an ingredient effective in improving skin elasticity or an ingredient effective in tightening pores, from the viewpoint of reducing the visibility of pores by suppressing the opening of facial pores.

[0076] Examples of the cleansing agents used in facial skin cosmetics include surfactants (cationic surfactants, anionic surfactants, zwitterionic surfactant preparations, nonionic surfactants, etc.), fatty acids, oily components, and polyhydric alcohols. Examples of the components effective in improving skin elasticity used in facial skin cosmetics include ceramides, collagen, elastin, hyaluronic acid, polyphenols, amino acids, amino acid derivatives, vitamins (vitamin A, etc.), vitamin derivatives (vitamin C derivatives, etc.), and antioxidant components. Examples of the astringent components used in facial skin cosmetics include plant extracts (rosa canina fruit extract, etc.), acids, polyphenols, metal compounds (aluminum, zinc, etc.), lower alcohols, vitamins (vitamin A, etc.), vitamin derivatives (vitamin C derivatives, etc.), and 5α-reductase activity inhibitors. Ingredients that are used in facial skin supplements and have the effect of improving skin elasticity or tightening 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.

[0077] In the estimation of the amount of melanin in facial skin based on at least one of the above (1-c) hair aging level, number of hairs, number of gray hairs, scalp redness level, scalp yellowness level, and scalp oil content, for subjects who are assessed as having a high level of hair aging, a small number of hairs, a large number of gray hairs, a high level of scalp redness (strong redness), a high level of scalp yellowness (strong yellowness), or a low amount of scalp oil, a facial skin cosmetic (e.g., emulsion, cream, lotion, pack, powder) or a facial skin supplement (e.g., tablet, powder, liquid) for reducing the amount of melanin in the facial skin can be selected and recommended for use. The cosmetic or supplement for facial skin for reducing the amount of melanin in the skin may be, for example, a cosmetic or supplement for facial skin containing one or more whitening agents or antioxidants. Examples of the whitening agents include vitamins, vitamin derivatives, tranexamic acid, arbutin, kojic acid, and polyphenols. Examples of the antioxidants include vitamins, lipoic acid, carotenoids, coenzyme Q10, and polyphenols.

[0078] In the above (1-d) estimation of facial skin elasticity based on at least one of hair aging level, gray hair level, scalp redness level, scalp yellowness level, and scalp mobility, a facial skin cosmetic or facial skin supplement for improving skin elasticity can be selected and recommended for use for subjects who are evaluated as having a high level of hair aging, a high level of gray hair, a high level of scalp redness, a high level of scalp yellowness, or a subject whose scalp is evaluated as being difficult to move. The facial skin cosmetic or facial skin supplement for improving skin elasticity may, for example, be a facial skin cosmetic or facial skin supplement containing one or more ingredients effective in improving skin elasticity. Examples of ingredients effective in improving skin elasticity include ceramide, collagen, elastin, hyaluronic acid, polyphenols, amino acids, amino acid derivatives, vitamins, vitamin derivatives, and antioxidants.

[0079] For subjects who are evaluated as having a high scalp oil content in the above (1-e) estimation of facial skin oil content based on scalp oil content, a facial skin cosmetic or facial skin supplement for reducing facial skin oil content can be selected and recommended for use. The facial skin cosmetic or facial skin supplement for reducing skin oil content may be, for example, a facial skin cosmetic or facial skin supplement formulated with one or more ingredients effective in reducing skin oil content. Examples of facial skin cosmetic products that reduce skin oil content include facial skin cosmetic products formulated with a cleanser for washing away facial oil, and facial skin cosmetic products formulated with at least one of ethanol, vitamin A such as retinol, vitamin C, azelaic acid, and niacinamide. Furthermore, examples of facial skin supplements that reduce the amount of oil on the skin include facial skin supplements containing at least one of vitamin A such as retinol, vitamin C, azelaic acid, and niacinamide.

[0080] In the estimation of facial skin texture roughness based on at least one of the above (1-f) gray hair level, scalp redness level, scalp yellowness level, and scalp mobility, for subjects whose scalp is evaluated as being difficult to move, whose scalp is evaluated as having a high level of redness, whose scalp is evaluated as having a high level of yellowness, or whose gray hair level is evaluated, a facial skin cosmetic or facial skin supplement for reducing the roughness of the skin texture and improving the texture can be selected and recommended for use. The facial skin cosmetic or facial skin supplement for reducing the roughness of the skin texture and improving the texture may, for example, be a facial skin cosmetic or facial skin supplement formulated with one or more ingredients that have the effect of reducing the roughness of the skin texture and improving the texture. Ingredients that are effective in reducing roughness and improving skin texture include moisturizers such as hyaluronic acid, ceramides, collagen, and elastin, as well as vitamins such as retinol, niacinamide, and vitamin C.

[0081] In the above (1-g) estimation of facial wrinkle levels based on at least one of the gray hair level, scalp redness level, scalp yellowness level, and scalp mobility, a facial skin cosmetic or facial skin supplement for reducing facial wrinkle levels can be selected and recommended for use for subjects whose scalps are evaluated as being difficult to move, whose scalps are evaluated as having a high level of redness, whose scalps are evaluated as having a high level of yellowness, or whose gray hair level is evaluated as being high. The facial skin cosmetic or facial skin supplement for reducing facial wrinkle levels may be, for example, a facial skin cosmetic or facial skin supplement containing one or more ingredients effective in reducing facial wrinkle levels. Examples of ingredients effective in reducing facial wrinkle levels include moisturizers such as hyaluronic acid, ceramide, collagen, and elastin, and vitamins such as retinol, niacinamide, and vitamin C.

[0082] (1-3) Estimation support tools The estimation support tool of the first embodiment is an estimation support tool that supports estimation of a subject's facial skin condition and includes an acquisition unit, a storage unit, an estimation unit, and an output unit. The acquisition unit acquires information indicating the subject's hair and / or scalp condition. The storage unit stores information serving as a comparison standard for the hair and / or scalp condition. The estimation unit identifies estimated information on the subject's facial skin condition based on a comparison between the information acquired by the acquisition unit and the information serving as the comparison standard. The output unit outputs the estimated information. This estimation support tool outputs estimated information based on a comparison of information indicating the subject's grasped hair and / or scalp condition with the information serving as the comparison standard, thereby supporting estimation of the subject's facial skin condition. Here, the comparison standard indicating the hair and / or scalp condition may be one or more, and may be a standard for a hair and / or scalp condition corresponding to an average facial skin condition, or a standard for a hair and / or scalp condition corresponding to a facial skin condition worse than average.

[0083] The estimation support tool may be one in which information on facial skin cosmetics or facial skin supplements recommended in accordance with the estimation information is stored in advance in a memory unit, and can be output from an output unit together with the estimation information.

[0084] The estimation support tool may be, for example, an estimation support tool 1 as shown in the block diagram of FIG. 4. The estimation support tool 1 may be an information processing device including an acquisition unit 10, a storage unit 20, an estimation unit 30, an output unit 40, and the like. The acquisition unit 10 may be, for example, a touch panel, a mouse, or a keyboard that accepts information input indicating the condition of the hair and / or scalp from a user. The storage unit 20 may include a ROM or the like that stores information 21 that serves as a comparison standard for the condition of the hair and / or scalp. The estimation unit 30 determines estimated information on the condition of the facial skin of the subject based on a comparison between the information acquired by the acquisition unit 10 and the information 21 that serves as the comparison standard stored in the storage unit 20, and may include a CPU 31 that is a processor that performs various information calculation processes, a RAM 32, a ROM 33 that stores programs, and the like. The output unit 40 may be, for example, a liquid crystal display.

[0085] The estimation support tool is preferably an information terminal configured to enable communication via a network such as the Internet. Various pieces of information used in evaluating the subject may be stored in advance in a storage unit of the estimation support tool, or the estimation support tool may be configured to obtain and store the information from an external server or the like by communicating via the network.

[0086] (1-4) Method for estimating subject's facial skin condition The method for estimating the facial skin condition of a subject in the first embodiment is a method for estimating the facial skin condition of a subject using the estimation support tool (1-3) above. According to this method for estimating the facial skin condition of a subject, it is possible to use the estimation information output from the estimation support tool in estimating the facial skin condition of a subject.

[0087] (1-5) Screening method The screening method of the first embodiment selects an active ingredient for a facial skin supplement based on the condition of hair and / or scalp before and after use of a supplement containing the candidate ingredient. This screening method makes it easy to select ingredients that are beneficial for improving facial skin condition.

[0088] The candidate substance is not particularly limited, and may be a known component that can be incorporated into a supplement. Furthermore, when a subject has hair and / or scalp conditions that are estimated to be poor in relation to a predetermined comparison standard for hair and / or scalp conditions (a subject has hair and / or scalp conditions that are estimated to be poor in relation to the facial skin condition item to be estimated), and a supplement containing a candidate ingredient is used, the active ingredient of the facial skin supplement may be selected based on the hair and / or scalp conditions before and after the use of the supplement. In this case, it is preferable to select the active ingredient based on the relationships (1-a) to (1-g) described in the relationship between hair and / or scalp conditions and facial skin conditions in the estimation method (1-1).

[0089] (1-6) Manufacturing method of supplements The manufacturing method of the first embodiment is a manufacturing method of a supplement, and includes a step of selecting an active ingredient for a facial skin supplement using the screening method (1-5), and a step of blending the selected active ingredient into the supplement. This manufacturing method makes it possible to obtain a supplement that can improve the condition of facial skin. The step of blending the selected active ingredient into the supplement can be carried out by a known method for supplements. Furthermore, in the step of blending the selected active ingredient into the supplement, the selected active ingredient may be blended with other ingredients as necessary, and the supplement may be manufactured using a known manufacturing method for supplements.

[0090] (2) Second embodiment The following describes the estimation method, selection method, estimation support tool, estimation method, screening method, and supplement manufacturing method according to the second embodiment as examples.

[0091] (2-1) Estimation method The estimation method of the second embodiment is a method for estimating the condition of a subject's hair and / or scalp based on the condition of the subject's facial skin. This estimation method makes it possible to estimate the condition of the subject's hair and / or scalp using a novel method. The estimation method of the second embodiment may also be an evaluation method for cosmetic purposes that evaluates the condition of the subject's hair and / or scalp based on the condition of the subject's facial skin. It is preferable that the evaluation of the facial skin condition in the estimation method is performed by comparison under the same conditions. The (scalp condition), (hair condition), and (facial skin condition) in the second embodiment are the same as those described in (1-1) of the first embodiment.

[0092] (Estimation of hair and / or scalp condition based on facial skin condition) In the estimation method of the second embodiment, from the viewpoint of enabling objective estimation, it is preferable to compare the facial skin condition of the subject with a predetermined comparison standard for the facial skin condition and estimate the condition of the subject's hair and / or scalp based on the comparison result. Here, the predetermined comparison standard for the facial skin condition may be one or more, and may be a facial skin condition standard corresponding to an average hair and / or scalp condition, or a facial skin condition standard corresponding to a hair and / or scalp condition worse than average (a facial skin condition standard corresponding to a "hair and / or scalp condition worse than average in relation to the facial skin condition item"). Furthermore, multiple comparison standards may be set according to age, such as by age or by generation.

[0093] The relationship between the facial skin condition and the hair and / or scalp condition in the estimation method of the second embodiment may be, from the viewpoint of highly reliable estimation, (2-a) estimation of at least one of the hair manageability level and the scalp moisture evaporation amount based on the facial skin moisture evaporation amount, (2-b) estimation of the scalp oil content based on the number of pores in the facial skin, (2-c) estimation of at least one of the hair aging level, the number of hairs, the number of gray hairs, the scalp redness level, the scalp yellowness level, and the scalp oil content based on the melanin level in the facial skin, and (2-d) estimation of the hair aging level based on the facial skin elasticity. (2-e) estimation of the amount of oil on the scalp based on the amount of oil on the facial skin; (2-f) estimation of the amount of white hair on the scalp based on the roughness of the facial skin texture; or (2-g) estimation of the amount of white hair on the scalp based on the wrinkle level on the facial skin.

[0094] The estimation method of the second embodiment also makes it possible to predict, for example, any of the following: -Predicting the future hair manageability and / or scalp moisture loss when the moisture loss state of facial skin changes from the current state. -Prediction of future scalp oil volume when the number of pores on the face changes from the current state -Predicting at least one of the following conditions when the melanin level of facial skin changes from the current state: hair aging level, number of hairs, number of gray hairs, scalp redness level, scalp yellowness level, and scalp oil content. Predicting at least one of the following conditions when the facial skin elasticity state changes from the current state: hair aging level, gray hair level, scalp redness level, scalp yellowness level, and scalp mobility. -Prediction of future scalp oil volume when facial skin oil volume changes from the current state Prediction of future gray hair level, scalp redness level, scalp yellowness level, and / or scalp mobility when the roughness of facial skin changes from the current state Prediction of future gray hair level, scalp redness level, scalp yellowness level, and / or scalp mobility when the facial skin wrinkle level changes from the current state

[0095] (2-a) Estimation of at least one of the hair manageability level based on the amount of water evaporation from the facial skin and the amount of water evaporation from the scalp In estimating at least one of the hair manageability level and the scalp moisture evaporation rate based on the facial skin moisture evaporation rate, it can be estimated that the greater the facial skin moisture evaporation rate and the drier the facial skin, the worse the hair manageability level (low hair manageability level) and / or the greater the scalp moisture evaporation rate. Note that in this estimation, it is preferable to estimate at least one of the hair manageability level at the ends of hair and the scalp moisture evaporation rate other than the parting of the hair based on the cheek moisture evaporation rate.

[0096] (2-b) Estimation of scalp oil content based on the number of facial pores In estimating the amount of oil on the scalp based on the number of pores on the facial skin, it can be estimated that the greater the number of pores on the facial skin, the greater the amount of oil on the scalp. Note that, in this estimation, it is preferable to estimate the amount of oil on the scalp other than the parting of the hair based on the number of pores on the entire face.

[0097] (2-c) Estimation of at least one of the hair aging level, the number of hairs, the number of gray hairs, the redness level of the scalp, the yellowness level of the scalp, and the oil content of the scalp based on the melanin amount of the facial skin In estimating at least one of the hair aging level, number of hairs, number of gray hairs, scalp redness level, scalp yellowness level, and scalp oil content based on the amount of melanin in facial skin, it can be estimated that the greater the amount of melanin in facial skin, the higher the hair aging level, the fewer the number of hairs, the more gray hairs, the higher the scalp redness level, the higher the scalp yellowness level, and the lower the scalp oil content. Note that in this estimation, it is preferable to estimate at least one of the hair aging level for the hair group above the temples, the number of hairs in the area other than the parting, the number of gray hairs, the scalp redness level, the scalp yellowness level, and the scalp oil content based on the amount of melanin in the cheeks.

[0098] In addition, from the viewpoint of enabling reliable estimation across a wide range of age groups, it is preferable to estimate at least one of the hair aging level, number of hairs, number of gray hairs, scalp redness level, and scalp yellowness level based on the amount of melanin in facial skin.

[0099] (1-d) Estimation of at least one of the hair aging level, the gray hair level, the scalp redness level, the scalp yellowness level, and the ease of scalp movement based on the elasticity of the facial skin. In estimating at least one of the hair aging level, scalp redness level, white hair level, scalp yellowness level, and scalp mobility based on the elasticity of facial skin, it can be estimated that the lower the facial elasticity, the higher the hair aging level, white hair level, scalp redness level, scalp yellowness level, or scalp mobility. Note that in this estimation, it is preferable to estimate at least one of the hair aging level and white hair level for the hair group above the temples, the scalp redness level and scalp yellowness level in areas other than the parting, or scalp mobility at the temporal region based on the elasticity of the cheeks.

[0100] In addition, from the viewpoint of enabling reliable estimation across a wide range of ages, it is preferable to estimate at least one of the hair aging level and scalp mobility based on the elasticity of the facial skin.

[0101] (2-e) Estimation of scalp oil content based on facial skin oil content In estimating the amount of oil on the scalp based on the amount of oil on the facial skin, it can be estimated that the greater the amount of oil on the facial skin, the greater the amount of oil on the scalp. Note that, in this estimation, it is preferable to estimate the amount of oil on the scalp other than the parting of the hair based on the amount of oil on the cheeks.

[0102] (2-f) Estimation of at least one of a gray hair level, a redness level of the scalp, a yellowness level of the scalp, and ease of movement of the scalp based on the roughness of the facial skin texture. In estimating at least one of the gray hair level, scalp redness level, scalp yellowness level, and scalp mobility based on the roughness of the facial skin texture, it can be estimated that the rougher the facial skin texture, the higher the gray hair level, the higher the scalp redness level, the higher the scalp yellowness level, or the more difficult the scalp mobility. In this estimation, it is preferable to estimate at least one of the gray hair level, scalp redness level, scalp yellowness level, and scalp mobility based on the roughness of the cheek texture.

[0103] (2-g) Estimation of at least one of a gray hair level, a redness level of the scalp, a yellowness level of the scalp, and ease of scalp movement based on a wrinkle level of the facial skin. In estimating at least one of the gray hair level, scalp redness level, scalp yellowness level, and scalp mobility based on the wrinkle level of the facial skin, it can be estimated that the higher the wrinkle level of the face, the higher the gray hair level, the higher the scalp redness level, the higher the scalp yellowness level, or the difficulty in scalp mobility. In this estimation, it is preferable to estimate at least one of the gray hair level, scalp redness level, scalp yellowness level, and scalp mobility based on the wrinkle level of the cheek.

[0104] (2-2) Selection method The selection method of the second embodiment selects a hair and / or scalp treatment agent or a hair and / or scalp supplement to be recommended to a subject based on the estimation results obtained by the estimation method (2-1). This selection method makes it possible to select a hair and / or scalp treatment agent or a hair and / or scalp supplement suitable for the subject. The hair and / or scalp treatment agent is applied to the hair and / or scalp of a subject and may or may not be rinsed off. The "hair and / or scalp treatment agent" may be in the form of a quasi-drug or cosmetic product (the same applies to the following description).

[0105] The hair and / or scalp supplement is intended for oral ingestion by the subject and may be in the form of a tablet, powder, or liquid. The "hair and / or scalp supplement" may also be in the form of a quasi-drug or a food product (including general foods, foods with nutrient functions, foods with functional claims, and foods for specified health uses) (the same applies to the following descriptions). Preferably, the selection method involves selecting a hair and / or scalp treatment agent or a hair and / or scalp supplement for a subject whose facial skin condition is estimated to be poor in relation to a predetermined comparison standard for facial skin condition, based on the comparison result. Here, the predetermined comparison standard for facial skin condition may be one or more, and may be a standard for facial skin condition corresponding to an average hair and / or scalp condition, or a standard for facial skin condition corresponding to a worse-than-average hair and / or scalp condition (a standard for facial skin condition corresponding to a "worse-than-average hair and / or scalp condition in relation to the item of facial skin condition"). The type of hair and / or scalp treatment agent or hair and / or scalp supplement selected is preferably one that corresponds to the estimated condition of the hair and / or scalp in relation to the condition of the facial skin.

[0106] For example, for subjects whose facial skin is evaluated as having a high level of moisture evaporation in at least one of the estimations of (2-a) the level of hair manageability based on the amount of moisture evaporation from the facial skin and the amount of moisture evaporation from the scalp, a hair and / or scalp treatment agent (e.g., shampoo, treatment) or a hair and / or scalp supplement (e.g., tablet, powder, liquid) for improving hair manageability or suppressing scalp dryness can be selected and recommended for use. Examples of hair and / or scalp treatment agents for improving hair manageability include those containing one or more of oily ingredients (such as silicone), polyhydric alcohols, polyphenols, keratin, amino acids, amino acid derivatives, vitamins, vitamin derivatives, and surfactants (cationic surfactants, anionic surfactants, amphoteric surfactant preparations, or nonionic surfactants). The hair and / or scalp supplement for improving hair manageability may contain, for example, one or more of ceramide, collagen, polyphenol, amino acid, amino acid derivative, vitamin, vitamin derivative, blood circulation promoting component, anti-inflammatory component, and antioxidant component. The hair and / or scalp treatment agent (e.g., shampoo, treatment) or hair and / or scalp supplement (e.g., tablet, powder, liquid) for suppressing scalp dryness may contain, for example, a known component having moisturizing effect. The known component having moisturizing effect may be, for example, one or more selected from moisturizing components or emollient components. Examples of moisturizing components or emollient components include oily components such as ceramide, proteins such as hydrolyzed proteins and collagen, polyphenol, amino acid, amino acid derivative, vitamin, vitamin derivative, anti-inflammatory component, antioxidant component, and polyhydric alcohol.

[0107] For subjects who are evaluated as having a large number of pores on their face in the above (2-b) estimation of scalp oil content based on the number of pores on their face, a scalp treatment agent (e.g., shampoo, treatment) or scalp supplement (e.g., tablet, powder, liquid) for reducing scalp oil content can be selected and recommended for use. Examples of scalp treatment agents for reducing scalp oil content include scalp treatment agents containing one or more cleansing ingredients. Examples of the cleansing ingredients include known cleansing ingredients used for cleansing, such as surfactants (cationic surfactants, anionic surfactants, amphoteric surfactants, nonionic surfactants, etc.), fatty acids, oils, and polyhydric alcohols. Examples of scalp supplements for reducing scalp oil content include those containing one or more of polyphenols, vitamins, vitamin derivatives, and 5α-reductase activity inhibitors.

[0108] For subjects who are evaluated as having a high amount of melanin in their facial skin in the estimation of at least one of the hair aging level, number of hairs, number of gray hairs, scalp redness level, scalp yellowness level, and scalp oil content based on the amount of melanin in the facial skin (2-c) above, a hair and / or scalp treatment agent (e.g., shampoo, treatment) or hair and / or scalp supplement (e.g., tablet, powder, liquid) for at least one of reducing the hair aging level, increasing the number of hairs, reducing the number of gray hairs, reducing the scalp redness level, reducing the scalp yellowness level, or reducing the scalp oil content can be selected and recommended for use. The hair and / or scalp treatment agent for at least one of reducing the level of hair aging, increasing the number of hairs, reducing the number of gray hairs, reducing the level of redness of the scalp, reducing the level of yellowness of the scalp, and inhibiting a decrease in the amount of oil on the scalp is, for example, one or more of polyphenols, amino acids, amino acid derivatives, vitamins, vitamin derivatives, blood circulation promoting components, anti-inflammatory components, antioxidant components, and 5α-reductase activity inhibitor components. Hair and / or scalp supplements for at least one of reducing the level of hair aging, increasing the number of hairs, reducing the number of gray hairs, reducing the level of redness of the scalp, reducing the level of yellowness of the scalp, and inhibiting a decrease in the amount of oil in the scalp are, for example, those containing one or more of polyphenols, amino acids, amino acid derivatives, vitamins, vitamin derivatives, blood circulation-promoting ingredients, anti-inflammatory ingredients, antioxidant ingredients, and 5α-reductase activity inhibitor ingredients.

[0109] For subjects whose facial skin is evaluated as having low elasticity in the estimation of at least one of the hair aging level, gray hair level, scalp redness level, scalp yellowness level, and scalp mobility based on the above (2-d) facial skin elasticity, a hair and / or scalp treatment agent (e.g., shampoo, treatment) or hair and / or scalp supplement (e.g., tablet, powder, liquid) for reducing the hair aging level, reducing the gray hair level, reducing the scalp redness level, reducing the scalp yellowness level, or increasing scalp mobility can be selected and recommended for use. The hair and / or scalp treatment agent for at least any one of reducing the aging level of hair, reducing the gray hair level, reducing the redness level of the scalp, reducing the yellowness level of the scalp, and increasing the ease of scalp movement is, for example, one or more of ceramide, collagen, elastin, hyaluronic acid, polyphenol, amino acid, amino acid derivative, vitamin, vitamin derivative, blood circulation promoting component, anti-inflammatory component, and antioxidant component. The hair and / or scalp supplement for at least any one of reducing the aging level of hair, reducing the gray hair level, reducing the redness level of the scalp, reducing the yellowness level of the scalp, and increasing the ease of scalp movement is, for example, one or more of ceramide, collagen, elastin, hyaluronic acid, polyphenol, amino acid, amino acid derivative, vitamin, vitamin derivative, blood circulation promoting component, anti-inflammatory component, and antioxidant component.

[0110] For subjects whose facial skin is evaluated as having a high level of oil in the above (2-e) estimation of scalp oil content based on the amount of oil on the facial skin, a hair and / or scalp treatment agent or hair and / or scalp supplement for reducing scalp oil content can be selected and recommended for use. The hair and / or scalp treatment agent or hair and / or scalp supplement for reducing scalp oil content may be, for example, a hair and / or scalp treatment agent or hair and / or scalp supplement containing one or more ingredients effective in reducing scalp oil content. Examples of hair and / or scalp treatment agents that reduce scalp oil content include hair and / or scalp treatment agents containing a cleanser for washing away scalp oil, and hair and / or scalp treatment agents containing at least one of ethanol, vitamin A such as retinol, vitamin C, azelaic acid, and niacinamide. Furthermore, examples of hair and / or scalp supplements that reduce the amount of oil on the scalp include hair and / or scalp supplements containing at least one of vitamin A such as retinol, vitamin C, azelaic acid, and niacinamide.

[0111] For subjects whose facial skin texture is evaluated as being rough in the estimation of at least one of the gray hair level, scalp redness level, scalp yellowness level, and scalp mobility based on the roughness of facial skin texture (2-f) above, a hair and / or scalp treatment agent (e.g., shampoo, treatment) or hair and / or scalp supplement (e.g., tablet, powder, liquid) for reducing the gray hair level, reducing the scalp redness level, reducing the scalp yellowness level, or increasing scalp mobility can be selected and recommended for use. The hair and / or scalp treatment agent for at least any one of reducing the gray hair level, reducing the redness level of the scalp, reducing the yellowness level of the scalp, and increasing scalp mobility is, for example, one or more of ceramide, collagen, elastin, hyaluronic acid, polyphenol, amino acid, amino acid derivative, vitamin, vitamin derivative, blood circulation promoting component, anti-inflammatory component, and antioxidant component. The hair and / or scalp supplement for at least any one of reducing the gray hair level, reducing the redness level of the scalp, reducing the yellowness level of the scalp, and increasing scalp mobility is, for example, one or more of ceramide, collagen, elastin, hyaluronic acid, polyphenol, amino acid, amino acid derivative, vitamin, vitamin derivative, blood circulation promoting component, anti-inflammatory component, and antioxidant component.

[0112] For subjects who are evaluated as having a high level of facial skin wrinkles in the estimation of at least one of the gray hair level, scalp redness level, scalp yellowness level, and scalp mobility based on the level of facial skin wrinkles (2-g) above, a hair and / or scalp treatment agent (e.g., shampoo, treatment) or hair and / or scalp supplement (e.g., tablet, powder, liquid) for reducing the gray hair level, reducing the scalp redness level, reducing the scalp yellowness level, or increasing scalp mobility can be selected and recommended for use, as in (2-f) above.

[0113] (2-3) Estimation support tools The estimation support tool of the second embodiment is an estimation support tool that supports estimation of the condition of a subject's hair and / or scalp, and includes an acquisition unit, a memory unit, an estimation unit, and an output unit. The acquisition unit acquires information indicating the condition of the subject's facial skin. The memory unit stores information that serves as a comparison standard for the facial skin condition. The estimation unit identifies estimated information on the condition of the subject's hair and / or scalp based on a comparison between the information acquired by the acquisition unit and the information that serves as the comparison standard. The output unit outputs the estimated information. This estimation support tool outputs estimated information based on a comparison of the information indicating the subject's grasped facial skin condition with the information that serves as the comparison standard, thereby supporting estimation of the condition of the subject's hair and / or scalp. Here, the comparison standard indicating the facial skin condition may be one or more, and may be a standard for facial skin condition corresponding to an average hair and / or scalp condition, or a standard for facial skin condition corresponding to a hair and / or scalp condition that is worse than average (a standard for facial skin condition corresponding to a "hair and / or scalp condition that is worse than average in relation to the facial skin condition item").

[0114] The estimation support tool may be one in which information on hair and / or scalp treatment agents or hair and / or scalp supplements recommended in accordance with the estimation information is stored in advance in a memory unit, and can be output from an output unit together with the estimation information.

[0115] The estimation support tool may 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 indicating the facial skin condition from a user, and the storage unit 20 may store information serving as a comparison standard for the facial skin condition. Furthermore, the estimation unit 30 may identify estimated information on the condition of the subject's hair and / or scalp based on a comparison between the information acquired by the acquisition unit 10 and information 21 serving as a comparison standard stored in the storage unit 20.

[0116] The estimation support tool is preferably an information terminal configured to enable communication via a network such as the Internet. Various pieces of information used in evaluating the subject may be stored in advance in a storage unit of the estimation support tool, or the estimation support tool may be configured to obtain and store the information from an external server or the like by communicating via the network.

[0117] (2-4) Method for estimating the condition of a subject's hair and / or scalp The method for estimating the condition of the hair and / or scalp of a subject in the second embodiment is a method for estimating the condition of the hair and / or scalp of a subject using the estimation support tool (2-3) above. According to this method for estimating the condition of the subject's hair and / or scalp, it is possible to use the estimation information output from the estimation support tool in estimating the condition of the subject's hair and / or scalp.

[0118] (2-5) Screening method The screening method of the second embodiment selects active ingredients for hair and / or scalp supplements based on the condition of facial skin before and after use of a supplement containing the candidate ingredient. This screening method makes it easy to select ingredients that are beneficial for improving the condition of hair and / or scalp.

[0119] The candidate substance is not particularly limited, and may be a known component that can be incorporated into a supplement. Alternatively, the active ingredient of a hair and / or scalp supplement may be selected based on the facial skin condition before and after use of a supplement containing a candidate ingredient in a subject whose facial skin condition is estimated to be poor in relation to a predetermined comparison standard for facial skin condition. In this case, it is preferable to select the active ingredient based on the relationship (2-a) to (2-g) described in the relationship between facial skin condition and hair and / or scalp condition in the estimation method (2-1).

[0120] (2-6) Manufacturing method of supplements The manufacturing method of the second embodiment is a method for manufacturing a supplement, and includes a step of selecting an active ingredient for a hair and / or scalp supplement by the screening method (2-5), and a step of blending the selected active ingredient into the supplement. This manufacturing method makes it possible to obtain a supplement that can improve the condition of hair and / or scalp. The step of blending the selected active ingredient into the supplement can be carried out by a known method for supplements. Furthermore, in the step of blending the selected active ingredient into the supplement, the selected active ingredient may be blended with other ingredients as necessary, and the supplement may be manufactured using a known manufacturing method for supplements. [Example]

[0121] (Correlation between hair and / or scalp condition and facial skin condition) In accordance with the Declaration of Helsinki, subjects (Japanese women classified as Mongoloid) from Subject Group 1 or Subject Group 2 below who signed a consent form approved by the ethical committee were selected as subjects, and their hair condition, scalp condition, and facial skin condition were evaluated as described below. The following measurements were carried out indoors at a temperature of 20-21°C and a humidity of 50%. The subjects' scalps and hair were washed the night before the measurements, and the subjects' facial skin was washed and makeup was removed before the measurements.

[0122] The breakdown of subject groups 1 and 2 is shown below. Subject group 1: 298 subjects aged 20 to 79 years Subject group 2: 249 subjects aged 20 to 73 years Here, the following evaluations (A) and (C) were performed for subject group 1, and the following evaluations (B), (D), and (E) to (G) were performed for subject group 2.

[0123] (A) Correlation between hair and / or scalp condition and cheek water loss (A-1) Correlation between hair manageability and cheek moisture loss For each subject in Subject Group 1, the amount of moisture lost from the cheeks was measured and the level of hair manageability was evaluated. The amount of moisture loss from the cheek was measured twice on the right cheek of each subject using a TEWL VAPO SCAN AS-VT100RS (Asahi Techno Lab Co., Ltd.) and was calculated as the average value (g / (m 2 ·h)) was used. The hair manageability level was evaluated by a trained evaluator who routinely evaluates the condition of hair and scalp, visually comparing the impression of the hair ends with the manageability scale. Specifically, as shown in Figure 5, the manageability level was divided into five levels, with a higher number indicating a better manageability level, and the evaluation was performed by scoring.

[0124] FIG. 6 shows a graph plotting the level of hair manageability against the amount of moisture lost from the cheek. Next, among the subjects in subject group 1, those with cheek water evaporation rates of 10 or more were designated the "high group" (N=91), and those with cheek water evaporation rates of 6.95 or less were designated the "low group" (N=91).A multiple regression analysis using partial correlation was performed using R (statistical analysis software) to determine the relationship between cheek water evaporation rates and hair manageability level, and the P value in the Mann-Whitney U test was obtained.

[0125] Figure 7 shows a graph of hair manageability versus cheek water loss. The graph in Figure 7 indicates that the group with high cheek water loss (dry skin group) tended to have poorer hair manageability (lower hair manageability values) than the group with low cheek water loss (non-dry skin group). Furthermore, the P value between the hair manageability values ​​of the group with low cheek water loss and the hair manageability values ​​of the group with high cheek water loss was 0.0030 (P<0.05). Therefore, a high correlation was confirmed between the tendency for better hair manageability (higher hair manageability values) to be associated with lower cheek water loss, and the tendency for lower cheek water loss to be associated with better hair manageability (higher hair manageability values).

[0126] Figure 8 shows graphs for subject group 1 limited to those in their 20s ("high" group (N=21) and "low" group (N=22)), and Figure 9 shows graphs for subject group 1 limited to those in their 60s ("high" group (N=28) and "low" group (N=27)). Figures 8 and 9 reveal that, for both younger and older subjects, the group with high cheek moisture loss (dry skin) tended to have poorer hair manageability (lower hair manageability values) than the group with low cheek moisture loss (non-dry skin). These results confirm a correlation, independent of age, between the tendency for better hair manageability (higher cheek moisture loss values) to be associated with lower cheek moisture loss and the tendency for lower cheek moisture loss to be associated with better hair manageability (higher hair manageability values).

[0127] (A-2) Correlation between scalp water loss and cheek water loss For each subject in subject group 1, the amount of moisture loss from the cheek was measured, and the amount of moisture loss from the scalp was evaluated. Here, the amount of moisture lost from the cheek was measured in the same manner as in (A-1) above. The amount of scalp water loss was measured three times for each subject using a TEWL VAPO SCAN AS-VT100RS (Asahi Techno Lab Co., Ltd.) within a 3 cm radius from the highest point on the top of the head, excluding the parting and the area around the whorl, and was calculated as the average (g / (m 2 ·h)) was used.

[0128] FIG. 10 shows a graph plotting the amount of water loss from the scalp against the amount of water loss from the cheek. Next, among the subjects in subject group 1, those with cheek water evaporation rates of 8.45 or higher were designated the "high group" (N=148), and those with cheek water evaporation rates of 8.4 or lower were designated the "low group" (N=150).A multiple regression analysis using partial correlation was performed using R (statistical analysis software) to determine the relationship between cheek water evaporation rates and scalp water evaporation rates, and the P value in the Mann-Whitney U test was calculated.

[0129] Figure 11 shows a graph of the level of hair manageability versus cheek water evaporation. The graph in Figure 11 indicates that the group with high cheek water evaporation (dry skin group) tended to have lower scalp water evaporation (drier scalp) than the group with low cheek water evaporation (non-dry skin group). Furthermore, the P value between the scalp water evaporation values ​​of the low cheek water evaporation group and the scalp water evaporation values ​​of the high cheek water evaporation group was 0.000139 (P<0.05). Therefore, a high correlation was confirmed between the tendency for lower scalp water evaporation (non-dry scalp) to result in lower cheek water evaporation, and the tendency for lower cheek water evaporation to result in lower scalp water evaporation (non-dry scalp).

[0130] Figure 12 shows graphs for subject group 1 limited to those in their 20s ("high group" (N=32) and "low group" (N=33)), and Figure 13 shows graphs for subject group 1 limited to those in their 60s ("high group" (N=27) and "low group" (N=28)). Figures 12 and 13 reveal that, for both younger and older age groups, the group with high cheek water evaporation (dry skin group) had higher scalp water evaporation (tends to have drier scalps) than the group with low cheek water evaporation (non-dry skin group). These results confirm a correlation, independent of age, between the tendency for lower scalp water evaporation (non-dry scalp) to result in lower cheek water evaporation and the tendency for lower cheek water evaporation to result in lower scalp water evaporation (non-dry scalp).

[0131] (Compared to A-2) Correlation between scalp moisture and cheek moisture As a comparison to the correlation between the amount of moisture evaporation from the scalp and the amount of moisture evaporation from the cheeks (A-2) above, the amount of moisture in the cheeks was measured for some subjects in subject group 2 (N=213 subjects from subject group 2 (N=249) for whom data was collected) and the amount of moisture in the scalp was evaluated. Here, cheek moisture content was measured five times on the right cheek of each subject using a Corneometer CM825 (Courage+Khazaka), and the average value of the three intermediate measurements excluding the upper and lower limits was used. In addition, scalp moisture content was measured five times using a SKICON-200EX-UBS (Yayoi Co., Ltd.) on the scalp within a 3 cm radius from the highest point on the top of the head, excluding the parting and the area around the crown, and the average value of the measurements taken at the three middle points excluding the upper and lower limits was used.

[0132] FIG. 14 shows a graph plotting the moisture content of the scalp against the moisture content of the cheeks. Next, among the above subjects in subject group 2, the group with cheek moisture content of 58.56 or higher was designated the "high group" (N=107), and the group with cheek moisture content of 58.22 or lower was designated the "low group" (N=106).A multiple regression analysis using partial correlation was performed using R (statistical analysis software) to determine the relationship between cheek moisture content and scalp moisture content, and the P value in the Mann-Whitney U test was obtained.

[0133] Figure 15 shows a graph of scalp moisture content relative to cheek moisture content. From the graph in Figure 15, no significant difference in scalp moisture content was observed between the group with high cheek moisture content (dry skin group) and the group with low cheek moisture content (non-dry skin group). Furthermore, the P value for the scalp moisture content of the group with low cheek moisture content and the scalp moisture content of the group with high cheek moisture content was 0.84 (P≧0.05). Therefore, there was no statistically significant difference in the relationship between cheek moisture content and scalp moisture content, and no correlation was confirmed between the two.

[0134] (A-3) Comparative example of cheek moisture loss (relationship between cheek moisture loss and hair volume level on top) For each subject in subject group 1, the correlation between the amount of moisture lost from the cheeks and the hair volume level on top of the head was examined as a comparative example for the amount of moisture lost from the cheeks. Here, the hair volume level on the top was evaluated by a trained evaluator who routinely evaluates the condition of hair and scalp, visually comparing the impression of the area around the whorl of the subject with the hair volume scale on the top. Specifically, as shown in Figure 16, the hair volume level on the top was divided into five stages, and the higher the number, the higher the hair volume level on the top.

[0135] FIG. 17 shows a graph plotting the hair volume level on top of the head against the amount of water lost from the cheeks. Next, in the same manner as above, a multiple regression analysis using partial correlation was performed on the relationship between the amount of moisture lost from the cheeks and the level of hair volume on top of the head.

[0136] Figure 18 shows a graph of the hair volume level on top of the face versus the amount of water evaporation from the cheeks. The graph in Figure 18 shows that there was no significant difference in the hair volume level on top of the face between the group with high water evaporation from the cheeks (dry skin group) and the group with low water evaporation from the cheeks (non-dry skin group). Furthermore, the p-value was 0.3 (p≧0.05) between the hair volume level on top of the face in the group with low water evaporation from the cheeks and the hair volume level on top of the face in the group with high water evaporation from the cheeks. Therefore, there was no statistically significant difference in the relationship between the amount of water evaporation from the cheeks and the hair volume level on top of the face, and no correlation was confirmed between the two.

[0137] (B) Correlation between hair and / or scalp condition and number of pores on facial skin (B-1) Correlation between scalp oil content and number of facial pores For each subject in Subject Group 2, the number of pores on the facial skin was measured and the amount of oil on the scalp was evaluated. Here, the number of pores on the facial skin was measured over the entire face using VISIA Generation 7 (Canfield Scientific Inc.). The scalp oil content was measured three times using a Sebumeter SM815 (Courage+Khazaka electronic GmbH) within a 3 cm radius from the highest point on the top of the head, excluding the parting and the area around the whorl, and the average value (μg / cm 2 ) was used.

[0138] Figure 19 shows a graph plotting the amount of scalp oil against the number of pores on facial skin. Next, among the subjects in subject group 2, those with more than 361 pores on their facial skin were designated the "high group" (N=124), and those with 361 or fewer pores on their facial skin were designated the "low group" (N=125).A multiple regression analysis using partial correlation was performed on the relationship between the number of pores on the facial skin and the amount of oil on the scalp, and the P value in the Mann-Whitney U test was obtained.

[0139] Figure 20 shows a graph of scalp oil content relative to the number of facial pores. From the graph in Figure 20, it can be seen that the group with a large number of facial pores tended to have a higher scalp oil content than the group with a small number of facial pores. In addition, the P value between the scalp oil content of the group with a small number of facial pores and the scalp oil content of the group with a large number of facial pores was 0.0000904 (P<0.05). Therefore, a high correlation was confirmed between the tendency for the scalp oil content to increase with the number of facial pores, and the tendency for the scalp oil content to increase with the number of facial pores.

[0140] Figure 21 shows graphs for subject group 2 limited to those in their 20s ("high group" (N=25) and "low group" (N=25)), and Figure 22 shows graphs for subject group 2 limited to those in their 60s ("high group" (N=24) and "low group" (N=24)). Figures 21 and 22 show that, in both younger and older age groups, the more oil there was on the scalp, the more pores there were on the face. These results confirmed a correlation, regardless of age, between the tendency for the more oil there was on the scalp to be associated with a higher number of pores on the face, and the tendency for the more pores there were on the face to be associated with a higher amount of oil on the scalp.

[0141] (B-2) Comparative example regarding the number of pores on facial skin (relationship between the number of pores on facial skin and the amount of water evaporation from the scalp) As a comparative example for the number of pores on the face skin, the correlation between the number of pores on the face skin and the amount of water evaporation from the scalp was examined for each subject in subject group 2. Here, the amount of water lost from the scalp was measured in the same manner as in (A-2).

[0142] FIG. 23 shows a graph plotting the amount of water loss from the scalp against the number of pores on the facial skin. Next, in the same manner as above, a multiple regression analysis using partial correlation was performed on the relationship between the number of pores on the facial skin and the amount of water evaporation from the scalp.

[0143] Figure 24 shows a graph of scalp water evaporation rate versus the number of facial pores. From the graph in Figure 24, there was no significant difference in scalp water evaporation rate between the group with a small number of facial pores and the group with a large number of facial pores. In addition, the P value between the scalp water evaporation rate of the group with a small number of facial pores and the scalp water evaporation rate of the group with a large number of facial pores was 0.17 (P≧0.05). Therefore, there was no statistically significant difference in the relationship between the number of facial pores and scalp water evaporation rate, and no correlation was confirmed between the two.

[0144] (C) Correlation between hair and / or scalp condition and cheek melanin levels (C-1) Correlation between hair aging level and cheek melanin amount For each subject in Subject Group 1, the amount of melanin in the cheeks was measured and the level of hair aging was evaluated. Here, the amount of melanin in the cheek was determined by measuring the right cheek once using ANTERA 3D CS (Miravex).

[0145] The hair aging level was evaluated by a trained evaluator who routinely evaluates the condition of hair and scalp, visually comparing the impression of the hair above the temples of the subject's head with the photograph of the aging level scale. Specifically, as shown in Figure 25, the aging level was divided into five levels, and the higher the level number, the higher the hair aging level (more advanced aging), and the evaluation was performed by scoring.

[0146] FIG. 26 shows a graph plotting the level of hair aging against the amount of melanin in the cheeks. Next, among the subjects in subject group 1, those with cheek melanin levels greater than 0.49 were classified as the "high group" (N=148), and those with cheek melanin levels of 0.49 or less were classified as the "low group" (N=150).A multiple regression analysis using partial correlation was performed to determine the relationship between cheek melanin levels and hair aging levels, and the P value in the Mann-Whitney U test was calculated.

[0147] Figure 27 shows a graph of hair aging level relative to cheek melanin amount. From the graph in Figure 27, the group with a high amount of cheek melanin tended to have a higher hair aging level than the group with a low amount of cheek melanin. Furthermore, the P value between the hair aging level values ​​for the group with a low amount of cheek melanin and the hair aging level values ​​for the group with a high amount of cheek melanin was 0.0002 (P<0.05). Therefore, a high correlation was confirmed between the tendency for the higher the hair aging level to be, the higher the amount of cheek melanin, and the tendency for the higher the amount of cheek melanin to be, the higher the hair aging level.

[0148] FIG. 28 shows graphs for subject group 1 limited to those in their 20s ("high" group (N=32) and "low" group (N=33)), and FIG. 29 shows graphs for subject group 1 limited to those in their 60s ("high" group (N=27) and "low" group (N=28)). As shown in FIGS. 28 and 29, in both the younger and older age groups, the group with higher cheek melanin levels tended to have higher levels of hair aging than the group with lower cheek melanin levels. These results confirmed a correlation between the higher level of hair aging and the higher cheek melanin levels, regardless of age.

[0149] (C-2) Correlation between number of hairs and melanin content on cheeks For each subject in Subject Group 1, the amount of melanin on the cheeks was measured and the number of hairs was evaluated. Here, the amount of melanin in the cheeks was measured in the same manner as in (C-1) above. The number of hairs was also assessed by taking a slice within a 3cm radius from the highest point on the top of the subject's head, excluding the area around the part and whorl, photographing three designated areas with a microscope, counting the number of hairs on the microscope image, and calculating the average number of hairs in the three images.

[0150] FIG. 30 shows a graph plotting the number of hairs against the amount of melanin on the cheek. Next, in the same manner as in (C-1) above, a multiple regression analysis using partial correlation was performed on the relationship between the amount of melanin on the cheek and the number of hairs, and the P value in the Mann-Whitney U test was calculated.

[0151] Figure 31 shows a graph of the number of hairs relative to the amount of melanin in the cheeks. From the graph in Figure 31, it can be seen that the group with a high amount of melanin in the cheeks tended to have fewer hairs than the group with a low amount of melanin in the cheeks. Furthermore, the P value for the number of hairs in the group with a low amount of melanin in the cheeks and the number of hairs in the group with a high amount of melanin in the cheeks was 0.00000159 (P<0.05). Therefore, a high correlation was confirmed between the tendency for the number of hairs to be higher the amount of melanin in the cheeks, and the tendency for the number of hairs to be lower the amount of melanin in the cheeks.

[0152] FIG. 32 shows graphs for subject group 1 limited to those in their 20s ("high group" (N=32) and "low group" (N=33)), and FIG. 33 shows graphs for subject group 1 limited to those in their 60s ("high group" (N=37) and "low group" (N=38)). Figures 32 and 33 reveal that, in both younger and older age groups, the fewer the number of hairs, the greater the amount of melanin in the cheeks. These results confirm a correlation, independent of age, between the tendency for fewer hairs to result in more melanin in the cheeks and the tendency for greater amounts of melanin in the cheeks to result in fewer hairs.

[0153] (C-3) Correlation between the number of gray hairs and the amount of melanin in the cheeks For each subject in Subject Group 1, the amount of melanin in the cheeks was measured and the number of gray hairs was evaluated. Here, the amount of melanin in the cheeks was measured in the same manner as in (C-1) above. The number of gray hairs was evaluated by taking a slice within a 3cm radius from the highest point on the top of the subject's head, excluding the part and the area around the whorl, photographing three designated areas with a microscope, counting the number of gray hairs on the microscope image, and calculating the average number of gray hairs in the three images.

[0154] FIG. 34 shows a graph plotting the number of gray hairs against the amount of melanin in the cheeks. Next, in the same manner as in (C-1) above, a multiple regression analysis using partial correlation was performed on the relationship between the amount of melanin in the cheeks and the number of white hairs, and the P value in the Mann-Whitney U test was calculated.

[0155] Figure 35 shows a graph of the number of gray hairs relative to the amount of melanin in the cheeks. The graph in Figure 35 indicates that the group with a high amount of melanin in the cheeks tended to have a higher number of gray hairs than the group with a low amount of melanin in the cheeks. Furthermore, the P value for the number of gray hairs in the group with a low amount of melanin in the cheeks and the number of gray hairs in the group with a high amount of melanin in the cheeks was 0.0000000000353 (P<0.05). Therefore, a high correlation was confirmed between the tendency for the greater number of gray hairs to correspond to a higher amount of melanin in the cheeks, and the tendency for the greater amount of melanin in the cheeks to correspond to a higher number of gray hairs.

[0156] FIG. 36 shows graphs for subject group 1 limited to those in their 20s ("high group" (N=32) and "low group" (N=33)), and FIG. 37 shows graphs for subject group 1 limited to those in their 60s ("high group" (N=37) and "low group" (N=38)). Figures 36 and 37 show that, for both younger and older age groups, the greater the number of gray hairs, the greater the amount of melanin in the cheeks. These results confirm a correlation, independent of age, between the tendency for the greater number of gray hairs to be associated with greater amounts of melanin in the cheeks, and the tendency for the greater amount of melanin in the cheeks to be associated with greater numbers of gray hairs.

[0157] (C-4) Correlation between scalp redness level and cheek melanin amount For each subject in Subject Group 1, the amount of melanin in the cheeks was measured and the level of redness of the scalp was evaluated. Here, the amount of melanin in the cheeks was measured in the same manner as in (C-1) above.

[0158] The redness level of the scalp was evaluated by a trained evaluator who routinely evaluates the condition of hair and scalp by visually comparing the color of the scalp of the subject on the head with the redness level scale. Specifically, as shown in Figure 38, the redness level was divided into five levels, with a higher number indicating a higher redness level (stronger redness).

[0159] Figure 39 shows a graph plotting the level of scalp redness against the amount of melanin in the cheeks. Next, in the same manner as in (C-1) above, a multiple regression analysis using partial correlation was performed on the relationship between the amount of melanin in the cheeks and the redness level of the scalp, and the P value in the Mann-Whitney U test was calculated.

[0160] Figure 40 shows a graph of scalp redness levels relative to cheek melanin amount. From the graph in Figure 40, it can be seen that the group with a high amount of cheek melanin tended to have a higher scalp redness level than the group with a low amount of cheek melanin. Furthermore, the P value between the scalp redness level values ​​of the group with a low amount of cheek melanin and the scalp redness level values ​​of the group with a high amount of cheek melanin was 0.0005 (P<0.05). Therefore, a high correlation was confirmed between the tendency for the higher the scalp redness level to be associated with a higher amount of cheek melanin, and the tendency for the higher the amount of cheek melanin to be associated with a higher scalp redness level.

[0161] Figure 41 shows graphs for subject group 1 limited to those in their 20s ("high group" (N=32) and "low group" (N=33)), and Figure 42 shows graphs for subject group 1 limited to those in their 60s ("high group" (N=37) and "low group" (N=38)). Figures 41 and 42 show that, in both younger and older age groups, the higher the level of scalp redness, the higher the amount of melanin in the cheeks. These results confirmed a correlation, independent of age, between the tendency for the higher level of scalp redness to be associated with the higher amount of melanin in the cheeks, and the tendency for the higher amount of melanin in the cheeks to be associated with the higher level of scalp redness.

[0162] (C-5) Correlation between scalp yellowness level and cheek melanin amount For each subject in Subject Group 1, the amount of melanin in the cheeks was measured and the level of yellowness of the scalp was evaluated. Here, the amount of melanin in the cheeks was measured in the same manner as in (C-1) above.

[0163] The yellowness level of the scalp was evaluated by a trained evaluator who routinely evaluates the condition of hair and scalp by visually comparing the color of the scalp of the subject's head with the yellowness level scale. Specifically, as shown in Figure 43, the yellowness level was divided into five levels, with a higher number indicating a higher yellowness level (stronger yellowness), and the evaluation was performed by scoring.

[0164] Figure 44 shows a graph plotting the yellowness level of the scalp against the amount of melanin in the cheeks. Next, in the same manner as in (C-1) above, a multiple regression analysis using partial correlation was performed on the relationship between the amount of melanin in the cheeks and the yellowness level of the scalp, and the P value in the Mann-Whitney U test was calculated.

[0165] Figure 45 shows a graph of the scalp yellowness level relative to the amount of melanin in the cheeks. From the graph in Figure 45, the group with a high amount of melanin in the cheeks tended to have a higher scalp yellowness level than the group with a low amount of melanin in the cheeks. Furthermore, the P value between the scalp yellowness level of the group with a low amount of melanin in the cheeks and the scalp yellowness level of the group with a high amount of melanin in the cheeks was 0.0000000000188 (P<0.05). Therefore, a high correlation was confirmed between the tendency for the higher the scalp yellowness level to be associated with a higher amount of melanin in the cheeks, and the tendency for the higher the amount of melanin in the cheeks to be associated with a higher scalp yellowness level.

[0166] Figure 46 shows graphs for subject group 1 limited to those in their 20s ("high group" (N=32) and "low group" (N=33)), and Figure 47 shows graphs for subject group 1 limited to those in their 60s ("high group" (N=37) and "low group" (N=38)). Figures 46 and 47 show that, in both younger and older age groups, the higher the level of yellowness on the scalp, the higher the amount of melanin in the cheeks. These results confirmed a correlation, independent of age, between the tendency for the higher level of yellowness on the scalp to be associated with higher amounts of melanin in the cheeks, and the tendency for the higher amount of melanin in the cheeks to be associated with higher levels of yellowness on the scalp.

[0167] (C-6) Correlation between scalp oil content and cheek melanin content For each subject in Subject Group 1, the amount of melanin in the cheeks was measured and the amount of oil in the scalp was evaluated. Here, the amount of melanin on the cheeks was measured in the same manner as in (C-1) above, and the amount of oil on the scalp was evaluated in the same manner as in (B-1) above.

[0168] Figure 48 shows a graph plotting the amount of scalp oil against the amount of cheek melanin. Next, in the same manner as in (C-1) above, a multiple regression analysis using partial correlation was performed on the relationship between the amount of melanin in the cheek and the amount of oil in the scalp, and the P value in the Mann-Whitney U test was calculated.

[0169] Figure 49 shows a graph of scalp oil content relative to cheek melanin content. From the graph in Figure 49, it can be seen that the group with a high amount of cheek melanin tended to have a lower scalp oil content than the group with a low amount of cheek melanin. Furthermore, the P value between the scalp oil content of the group with a low amount of cheek melanin and the scalp oil content of the group with a high amount of cheek melanin was 0.0023 (P<0.05). Therefore, a high correlation was confirmed between the tendency for the amount of scalp oil to be higher with lower scalp oil content and the tendency for the amount of cheek melanin to be lower with higher cheek melanin content.

[0170] (C-7) Comparative example of melanin amount on cheeks (relationship between melanin amount on cheeks and moisture loss from scalp) As a comparative example for the cheek melanin amount, the correlation between the cheek melanin amount and scalp water evaporation rate was investigated for each subject in subject group 1. Here, the cheek melanin amount was the same as in (C-1) above, and the scalp water evaporation rate was the same as in (A-2) above.

[0171] Figure 50 shows a graph plotting the amount of water lost from the scalp against the amount of melanin in the cheeks. Next, similarly to the above, multiple regression analysis using partial correlation was performed on the relationship between the amount of melanin in the cheeks and the amount of water loss from the scalp.

[0172] Figure 51 shows a graph of scalp water evaporation relative to cheek melanin amount. The graph in Figure 51 shows no significant difference in cheek melanin amount between the group with low cheek melanin amount and the group with high cheek melanin amount. Furthermore, the P value for the scalp water evaporation amount in the group with high cheek melanin amount and the scalp water evaporation amount in the group with low cheek melanin amount was 0.41 (P≧0.05). Therefore, there was no statistically significant difference in the relationship between cheek melanin amount and scalp water evaporation amount, and no correlation was confirmed between the two.

[0173] (D) Correlation between hair and / or scalp condition and cheek sagging level

[0174] (D-1) Correlation between hair aging level and cheek sagging level For each subject in Subject Group 2, the level of cheek sagging was measured and the level of hair aging was evaluated. The cheek sagging level was measured twice on the right cheek using a cutometer and the average value was used (the Q0 value (mm·s) was used). The hair aging level was the same as in (C-1) above.

[0175] FIG. 52 shows a graph plotting the level of hair aging against the level of cheek sagging. Next, the group with a cheek sagging level of over 0.373 was designated the "high group" (N=124), and the group with a cheek sagging level of 0.373 or less was designated the "low group" (N=125).A multiple regression analysis using partial correlation was performed to determine the relationship between cheek sagging level and hair aging level, and a P value was obtained in the Mann-Whitney U test.

[0176] Figure 53 shows a graph of hair aging level relative to cheek sagging level. From the graph in Figure 53, it can be seen that the group with a high level of cheek sagging (group with large cheek sagging and low skin elasticity) tended to have a higher level of hair aging (more advanced aging) than the group with a low level of cheek sagging (group with small cheek sagging and high skin elasticity). Furthermore, the P value between the hair aging level of the group with a low level of cheek sagging and the hair aging level of the group with a high level of cheek sagging was 0.0033. Therefore, a high correlation was confirmed between the tendency for the higher level of hair aging (more advanced aging) to lead to a higher level of cheek sagging, and the tendency for the higher level of cheek sagging to lead to a higher level of hair aging (more advanced aging).

[0177] FIG. 54 shows graphs for subject group 2 limited to those in their 20s ("high group" (N=25) and "low group" (N=25)), and FIG. 55 shows graphs for subject group 2 limited to those in their 60s ("high group" (N=24) and "low group" (N=24)). As can be seen from FIGS. 54 and 55, in both the younger and older age groups, the higher the level of hair aging (the more advanced the aging), the higher the level of cheek sagging. These results confirmed a correlation, independent of age, between the tendency for the higher level of hair aging (the more advanced the aging) to be associated with a higher level of cheek sagging, and the tendency for the higher level of cheek sagging to be associated with a higher level of hair aging (the more advanced the aging).

[0178] (D-2) Correlation between gray hair level and cheek sagging level For each subject in Subject Group 2, the level of cheek sagging was measured and the level of gray hair was evaluated. Here, the cheek sagging level was the same as in (D-1) above.

[0179] The gray hair level was evaluated by visually inspecting the hair within a 3 cm radius from the highest point on the top of the subject's head, excluding the parting and whorl, by trained evaluators who routinely evaluate hair and scalp conditions, and comparing the impression with the gray hair level scale. Specifically, as shown in Figure 56, the gray hair level was divided into five levels, with a higher number indicating a higher gray hair level (more gray hairs), and the evaluation was performed by scoring. Of the five gray hair levels shown in Figure 56, "1," which indicates less than 0.5% gray hair, means that only a few gray hairs can be observed within the 3 cm radius.

[0180] FIG. 57 shows a graph plotting the level of gray hair against the level of cheek sagging. Next, in the same manner as in (D-1) above, a multiple regression analysis using partial correlation was performed on the relationship between the level of cheek sagging and the level of gray hair, and the P value in the Mann-Whitney U test was calculated.

[0181] Figure 58 shows a graph of the gray hair level relative to the cheek sagging level. From the graph in Figure 58, it can be seen that the group with a high level of cheek sagging (a group with large cheek sagging and low skin elasticity) tended to have a higher gray hair level than the group with a low level of cheek sagging (a group with small cheek sagging and high skin elasticity). Furthermore, the P value between the gray hair level in the group with a low level of cheek sagging and the gray hair level in the group with a high level of cheek sagging was 0.000424 (P<0.05). Therefore, a high correlation was confirmed between the tendency for the higher the gray hair level to be the higher the cheek sagging level, and the tendency for the higher the cheek sagging level to be the higher the gray hair level.

[0182] (D-3) Correlation between scalp redness level and cheek sagging level For each subject in Subject Group 2, the level of cheek sagging was measured and the level of scalp redness was evaluated. Here, the cheek sagging level was the same as in (D-1) above, and the scalp redness level was the same as in (C-4) above.

[0183] Figure 59 shows a graph plotting scalp redness levels against cheek sagging levels. Next, in the same manner as in (D-1) above, a multiple regression analysis using partial correlation was performed on the relationship between the level of cheek sagging and the level of scalp redness, and the P value in the Mann-Whitney U test was calculated.

[0184] Figure 60 shows a graph of scalp redness levels relative to cheek sagging levels. From the graph in Figure 60, it can be seen that the group with a high level of cheek sagging (group with large cheek sagging and low skin elasticity) tended to have a higher scalp redness level (strong scalp redness) than the group with a low level of cheek sagging (group with small cheek sagging and high skin elasticity). Furthermore, the P value between the scalp redness levels of the group with low cheek sagging levels and the scalp redness levels of the group with high cheek sagging levels was 0.0000000184 (P<0.05). Therefore, a high correlation was confirmed between the tendency for the higher the scalp redness level (stronger scalp redness) to be associated with a higher cheek sagging level, and the tendency for the higher the cheek sagging level to be associated with a higher scalp redness level (stronger scalp redness).

[0185] (D-4) Correlation between scalp yellowness level and cheek sagging level For each subject in Subject Group 2, the level of cheek sagging was measured and the level of scalp yellowing was evaluated. Here, the cheek sagging level was the same as in (D-1) above, and the scalp yellowness level was the same as in (C-5) above.

[0186] Figure 61 shows a graph plotting the level of yellowness of the scalp against the level of sagging cheeks. Next, in the same manner as in (D-1) above, a multiple regression analysis using partial correlation was performed on the relationship between the level of cheek sagging and the level of scalp yellowness, and the P value in the Mann-Whitney U test was calculated.

[0187] Figure 62 shows a graph of the scalp yellowness level relative to the cheek sagging level. From the graph in Figure 62, it can be seen that the group with a high level of cheek sagging (group with large cheek sagging and low skin elasticity) tended to have a higher scalp yellowness level (stronger scalp yellowness) than the group with a low level of cheek sagging (group with small cheek sagging and high skin elasticity). Furthermore, the P value between the scalp yellowness level of the group with a low level of cheek sagging and the scalp yellowness level of the group with a high level of cheek sagging was 0.0000295 (P<0.05). Therefore, a high correlation was confirmed between the tendency for the higher the scalp yellowness level (stronger scalp yellowness) to be associated with a higher cheek sagging level, and the tendency for the higher the cheek sagging level to be associated with a higher scalp yellowness level (stronger scalp yellowness).

[0188] (D-5) Correlation between scalp mobility and cheek sagging level For each subject in Subject Group 2, the level of cheek sagging was measured and the ease of scalp movement was evaluated. Here, the cheek sagging level was the same as in (D-1) above.

[0189] Furthermore, the ease of scalp movement was evaluated by palpation by a trained evaluator who routinely evaluates the condition of hair and scalp. The evaluator gently pressed the subject's temporal region and moved the thumb from bottom to top, and the distance the scalp moved was evaluated. Specifically, as shown in Figure 63, the ease of movement was divided into five stages according to the scale, with the higher the number, the easier the movement.

[0190] Figure 64 shows a graph plotting scalp mobility against cheek sagging level. Next, for the subjects in subject group 2, a multiple regression analysis using partial correlation was performed to examine the relationship between cheek sagging level and scalp mobility, as in (D-1) above, and the P value in the Mann-Whitney U test was calculated.

[0191] Figure 65 shows a graph of the ease of scalp movement relative to cheek sagging level. From the graph in Figure 65, it can be seen that the group with a high level of cheek sagging (group with large cheek sagging and low skin elasticity) tended to have a more difficult to move scalp (stiff scalp) than the group with a low level of cheek sagging (group with small cheek sagging and high skin elasticity). Furthermore, the P value between the ease of scalp movement in the group with a low level of cheek sagging and the ease of scalp movement in the group with a high level of cheek sagging was 0.00000000102 (P<0.05). Therefore, a high correlation was confirmed between the tendency for the scalp to be more difficult to move (stiffer scalp) and the tendency for the scalp to be more difficult to move (stiffer scalp) as the level of cheek sagging increases.

[0192] Figure 66 shows graphs for subject group 2 limited to those in their 20s ("high group" (N=25) and "low group" (N=25)), and Figure 67 shows graphs for subject group 2 limited to those in their 50s and older ("high group" (N=24) and "low group" (N=24)). Figures 66 and 67 show that in both younger and older age groups, the more difficult it was to move the scalp (the stiffer the scalp), the higher the level of cheek sagging. These results confirmed a correlation, independent of age, between the tendency for the more difficult it was to move the scalp (the stiffer the scalp), the higher the level of cheek sagging, and the tendency for the more difficult it was to move the scalp (the stiffer the scalp).

[0193] (D-6) Comparative example of cheek sagging level (relationship between cheek sagging level and scalp moisture evaporation rate) As a comparative example for the cheek sagging level, the correlation between the cheek sagging level and the amount of scalp water evaporation was examined for each subject in subject group 2. Here, the cheek sagging level was the same as in (D-1) above, and the evaluation of the scalp water evaporation rate was the same as in (A-2) above.

[0194] Figure 68 shows a graph plotting the amount of water loss from the scalp against the level of cheek sagging. Next, in the same manner as above, a multiple regression analysis using partial correlation was performed on the relationship between the cheek sagging level and the amount of scalp water loss.

[0195] Figure 69 shows a graph of scalp water evaporation rate versus cheek sagging level. The graph in Figure 69 shows that there was no significant difference in scalp water evaporation rate between the group with low cheek sagging level and the group with high cheek sagging level. Furthermore, the P value for the scalp water evaporation rate in the group with low cheek sagging level and the scalp water evaporation rate in the group with high cheek sagging level was 0.16 (P≧0.05). Therefore, there was no statistically significant difference in the relationship between cheek sagging level and scalp water evaporation rate, and no correlation was confirmed between the two.

[0196] (E) Correlation between hair and / or scalp condition and cheek oil content (E-1) Correlation between scalp oil volume and cheek oil volume For each subject in Subject Group 2, the amount of oil on the scalp was measured and the amount of oil on the cheeks was evaluated. Here, the amount of oil on the scalp was the same as in (B-1) above. The amount of oil on the cheeks was measured three times using a Sebumeter SM815 (Courage+Khazaka electronic GmbH), and the average value (μg / cm 2 ) was used.

[0197] Figure 70 shows a graph plotting the amount of oil on the scalp against the amount of oil on the cheeks. Next, among the subjects in subject group 2, those with cheek oil levels of 7 or more were designated the "high group" (N=121), and those with cheek oil levels of 6 or less were designated the "low group" (N=128).A multiple regression analysis using partial correlation was performed using R (statistical analysis software) to determine the relationship between cheek oil levels and scalp oil levels, and the P value in the Mann-Whitney U test was calculated.

[0198] Figure 71 shows a graph of scalp oil volume relative to cheek oil volume. From the graph in Figure 71, it can be seen that the group with high cheek oil volume tended to have higher scalp oil volume than the group with low cheek oil volume. Furthermore, the P value between the scalp oil volume values ​​of the group with low cheek oil volume and the group with high cheek oil volume was 0.00000290 (P<0.05). Therefore, a high correlation was confirmed between the tendency for the higher the scalp oil volume to be the higher the cheek oil volume, and the tendency for the higher cheek oil volume to be the higher the scalp oil volume.

[0199] Figure 72 shows graphs for subject group 2 limited to those in their 20s ("high group" (N=25) and "low group" (N=25)), and Figure 73 shows graphs for subject group 2 limited to those in their 60s ("high group" (N=24) and "low group" (N=24)). Figures 72 and 73 show that in both younger and older age groups, the group with higher cheek oil content tended to have higher scalp oil content than the group with lower cheek oil content. These results confirmed a correlation between higher scalp oil content and higher cheek oil content, and between higher cheek oil content and higher scalp oil content, regardless of age.

[0200] (F) Correlation between hair and / or scalp condition and cheek texture (F-1) Correlation between gray hair level and cheek texture For each subject in subject group 2, the roughness of cheek texture was measured and the level of gray hair was evaluated. Here, the cheek texture roughness was determined as the texture roughness Ra value obtained by measuring the right cheek once using ANTERA 3D CS (Miravex). The gray hair level was the same as in (D-2) above.

[0201] Figure 74 shows a graph plotting grey hair level against cheek roughness. Next, among the subjects in subject group 2, those with a cheek texture roughness Ra of 2.476 or higher were designated the "high group" (N=125), and those with a cheek texture roughness Ra of 2.468 or lower were designated the "low group" (N=124).A multiple regression analysis using partial correlation was performed using R (statistical analysis software) to determine the relationship between cheek texture roughness and gray hair level, and the P value in the Mann-Whitney U test was obtained.

[0202] Figure 75 shows a graph of the gray hair level relative to cheek texture roughness. From the graph in Figure 75, it can be seen that the group with high cheek texture roughness tended to have a higher gray hair level than the group with low cheek texture roughness. Furthermore, the P value between the gray hair level of the group with low cheek texture roughness and the gray hair level of the group with high cheek texture roughness was 0.00000000903 (P<0.05). Therefore, a high correlation was confirmed between the tendency for the higher the gray hair level to be the higher cheek texture roughness, and the tendency for the higher cheek texture roughness to be the higher gray hair level.

[0203] FIG. 76 shows graphs for subject group 2 limited to those in their 20s ("high group" (N=25) and "low group" (N=25)), and FIG. 77 shows graphs for subject group 2 limited to those in their 60s ("high group" (N=24) and "low group" (N=24)). Figures 76 and 77 show that, for both younger and older age groups, the group with high cheek texture roughness tended to have more gray hair than the group with low cheek texture roughness. These results confirm a correlation, independent of age, between the tendency for the higher level of gray hair to be associated with higher cheek texture roughness, and the tendency for the higher cheek texture roughness to be associated with higher gray hair levels.

[0204] (F-2) Correlation between scalp redness level and cheek texture For each subject in Subject Group 2, the roughness of the cheek texture was measured and the level of scalp redness was evaluated. Here, the roughness of the cheek texture was the same as in (F-1) above. The level of redness of the scalp was the same as in (C-4) above.

[0205] Figure 78 shows a graph plotting scalp redness level against cheek roughness. Next, for the subjects in subject group 2, a multiple regression analysis using partial correlation was performed using R (statistical analysis software) to determine the relationship between cheek texture roughness and scalp redness level, as in (F-1) above, and the P value in the Mann-Whitney U test was calculated.

[0206] Figure 79 shows a graph of scalp redness levels relative to cheek texture roughness. From the graph in Figure 79, it can be seen that the group with high cheek texture roughness tended to have higher scalp redness levels than the group with low cheek texture roughness. In addition, the P value between the scalp redness levels of the group with low cheek texture roughness and the scalp redness levels of the group with high cheek texture roughness was 0.000663 (P<0.05). Therefore, a high correlation was confirmed between the tendency for the higher scalp redness levels to be associated with higher cheek texture roughness, and the tendency for the higher cheek texture roughness to be associated with higher scalp redness levels.

[0207] Figure 80 shows graphs for subject group 2 limited to those in their 20s ("high group" (N=25) and "low group" (N=25)), and Figure 81 shows graphs for subject group 2 limited to those in their 60s ("high group" (N=24) and "low group" (N=24)). Figures 80 and 81 show that for both younger and older age groups, the group with high cheek texture roughness tended to have higher levels of scalp redness than the group with low cheek texture roughness. These results confirmed a correlation, regardless of age, between the tendency for higher scalp redness levels to be associated with higher cheek texture roughness, and the tendency for higher cheek texture roughness to be associated with higher scalp redness levels.

[0208] (F-3) Correlation between scalp yellowness level and cheek texture roughness For each subject in subject group 2, the roughness of the cheek texture was measured and the level of yellowness of the scalp was evaluated. Here, the roughness of the cheek texture was the same as in (F-1) above. The level of yellowness of the scalp was the same as in (C-5) above.

[0209] Figure 82 shows a graph plotting the yellowness level of the scalp against the roughness of the cheek texture. Next, for the subjects in subject group 2, a multiple regression analysis using partial correlation was performed using R (statistical analysis software) to determine the relationship between cheek texture roughness and scalp yellowness level, as in (F-1) above, and the P value in the Mann-Whitney U test was calculated.

[0210] Figure 83 shows a graph of the scalp yellowness level relative to cheek texture roughness. From the graph in Figure 83, it can be seen that the group with high cheek texture roughness tended to have a higher scalp yellowness level than the group with low cheek texture roughness. In addition, the P value between the scalp yellowness level of the group with low cheek texture roughness and the scalp yellowness level of the group with high cheek texture roughness was 0.000789 (P<0.05). Therefore, a high correlation was confirmed between the tendency for the higher the scalp yellowness level to be the higher cheek texture roughness, and the tendency for the higher cheek texture roughness to be the higher scalp yellowness level.

[0211] Figure 84 shows graphs for subject group 2 limited to those in their 20s ("high group" (N=25) and "low group" (N=25)), and Figure 85 shows graphs for subject group 2 limited to those in their 60s ("high group" (N=24) and "low group" (N=24)). Figures 84 and 85 show that for both younger and older age groups, the group with high cheek texture roughness tended to have higher levels of scalp yellowness than the group with low cheek texture roughness. These results confirmed a correlation, independent of age, between the tendency for the higher level of scalp yellowness to be associated with higher cheek texture roughness, and the tendency for the higher cheek texture roughness to be associated with higher scalp yellowness levels.

[0212] (F-4) Correlation between scalp mobility and cheek texture For each subject in subject group 2, the roughness of the cheek texture was measured and the ease of movement of the scalp was evaluated. Here, the roughness of the cheek texture was the same as in (F-1) above. The ease of movement of the scalp was the same as in (D-5) above.

[0213] Figure 86 shows a graph plotting scalp mobility against cheek texture roughness. Next, for the subjects in subject group 2, as in (F-1) above, a multiple regression analysis using partial correlation was performed using R (statistical analysis software) to examine the relationship between cheek texture roughness and scalp mobility, and the P value was calculated using the Mann-Whitney U test.

[0214] Figure 87 shows a graph of the ease of scalp movement relative to cheek texture roughness. From the graph in Figure 87, it can be seen that the group with high cheek texture roughness tended to have a harder scalp (stiffer scalp) than the group with low cheek texture roughness. In addition, the P value between the ease of scalp movement in the group with low cheek texture roughness and the ease of scalp movement in the group with high cheek texture roughness was 0.012 (P<0.05). Therefore, a high correlation was confirmed between the tendency for the cheek texture to be rougher (harder scalp) and the tendency for the cheek texture to be rougher (harder scalp).

[0215] Figure 88 shows graphs for subject group 2 limited to those in their 20s ("high group" (N=25) and "low group" (N=25)), and Figure 89 shows graphs for subject group 2 limited to those in their 60s ("high group" (N=24) and "low group" (N=24)). Figures 88 and 89 show that in both younger and older age groups, the group with high cheek texture roughness tended to have more difficult to move their scalp (stiffer scalp) than the group with low cheek texture roughness. These results confirmed a correlation, regardless of age, between the tendency for the scalp to be more difficult to move (stiffer scalp) as the cheek texture becomes rougher, and the tendency for the scalp to be more difficult to move (stiffer scalp) as the cheek texture becomes rougher.

[0216] (G) Correlation between hair and / or scalp condition and cheek wrinkle level (G-1) Correlation between gray hair level and cheek wrinkle level For each subject in Subject Group 2, the level of cheek wrinkles was measured and the level of gray hair was evaluated. Here, the level of cheek wrinkles was determined as the value of wrinkle depressions obtained by measuring the right cheek once using ANTERA 3D CS (Miravex). The gray hair level was the same as in (D-2) above.

[0217] FIG. 90 shows a graph plotting the level of gray hair against the level of cheek wrinkles. Next, among the subjects in subject group 2, those with a cheek wrinkle level of 3.359 or higher were designated the "high group" (N = 125), and those with a cheek wrinkle level of 3.352 or lower were designated the "low group" (N = 124).A multiple regression analysis using partial correlation was performed using R (statistical analysis software) to determine the relationship between cheek wrinkle level and gray hair level, and the P value in the Mann-Whitney U test was obtained.

[0218] FIG. 91 shows a graph of the gray hair level relative to the cheek wrinkle level. From the graph in FIG. 91, it can be seen that the group with a high level of cheek wrinkles tended to have a higher gray hair level than the group with a low level of cheek wrinkles. Furthermore, the P value between the gray hair level of the group with a low level of cheek wrinkles and the gray hair level of the group with a high level of cheek wrinkles was 0.0000000025 (P<0.05). Therefore, a high correlation was confirmed between the tendency for the higher the gray hair level to be the higher the cheek wrinkle level, and the tendency for the higher the cheek wrinkle level to be the higher the gray hair level.

[0219] FIG. 92 shows graphs for subject group 2 limited to those in their 20s ("high group" (N=25) and "low group" (N=25)), and FIG. 93 shows graphs for subject group 2 limited to those in their 60s ("high group" (N=24) and "low group" (N=24)). As shown in FIGS. 92 and 93, in both the younger and older age groups, the group with a high level of cheek wrinkles tended to have more gray hair than the group with a low level of cheek wrinkles. These results confirmed a correlation between the higher level of gray hair and the higher level of cheek wrinkles, regardless of age.

[0220] (G-2) Correlation between scalp redness level and cheek wrinkle level For each subject in Subject Group 2, the level of cheek wrinkles was measured and the level of scalp redness was evaluated. Here, the level of cheek wrinkles was the same as in (G-1) above. The level of redness of the scalp was the same as in (C-4) above.

[0221] Figure 94 shows a graph plotting scalp redness level against cheek wrinkle level. Next, for the subjects in subject group 2, a multiple regression analysis using partial correlation was performed using R (statistical analysis software) to determine the relationship between the level of cheek wrinkles and the level of scalp redness, as in (G-1) above, and the P value in the Mann-Whitney U test was calculated.

[0222] Figure 95 shows a graph of scalp redness levels relative to cheek wrinkle levels. From the graph in Figure 95, it can be seen that the group with a high level of cheek wrinkles tended to have a higher scalp redness level than the group with a low level of cheek wrinkles. In addition, the P value between the scalp redness levels of the group with a low level of cheek wrinkles and the scalp redness levels of the group with a high level of cheek wrinkles was 0.000360 (P<0.05). Therefore, a high correlation was confirmed between the tendency for the higher the scalp redness level to be the higher the cheek wrinkle level, and the tendency for the higher the cheek wrinkle level to be the higher the scalp redness level.

[0223] Figure 96 shows graphs for subject group 2 limited to those in their 20s ("high group" (N=25) and "low group" (N=25)), and Figure 97 shows graphs for subject group 2 limited to those in their 60s ("high group" (N=24) and "low group" (N=24)). Figures 96 and 97 show that in both the younger and older age groups, those with a high level of cheek wrinkles tended to have higher levels of scalp redness than those with a low level of cheek wrinkles. These results confirmed a correlation, regardless of age, between the tendency for higher levels of scalp redness to be associated with higher levels of cheek wrinkles, and the tendency for higher levels of cheek wrinkles to be associated with higher levels of scalp redness.

[0224] (G-3) Correlation between scalp yellowness level and cheek wrinkle level For each subject in Subject Group 2, the level of cheek wrinkles was measured and the level of scalp yellowness was evaluated. Here, the level of cheek wrinkles was the same as in (G-1) above. The level of yellowness of the scalp was the same as in (C-5) above.

[0225] Figure 98 shows a graph plotting the level of scalp yellowness against the level of cheek wrinkles. Next, for the subjects in subject group 2, a multiple regression analysis using partial correlation was performed using R (statistical analysis software) to determine the relationship between the level of cheek wrinkles and the level of scalp yellowness, as in (G-1) above, and the P value in the Mann-Whitney U test was calculated.

[0226] Figure 99 shows a graph of the scalp yellowness level relative to the cheek wrinkle level. From the graph in Figure 99, it can be seen that the group with a high level of cheek wrinkles tended to have a higher scalp yellowness level than the group with a low level of cheek wrinkles. Furthermore, the P value between the scalp yellowness level of the group with a low level of cheek wrinkles and the scalp yellowness level of the group with a high level of cheek wrinkles was 0.000790 (P<0.05). Therefore, a high correlation was confirmed between the tendency for the higher the scalp yellowness level to be the higher the cheek wrinkle level, and the tendency for the higher the cheek wrinkle level to be the higher the scalp yellowness level.

[0227] Figure 100 shows graphs for subject group 2 limited to those in their 20s ("high group" (N=25) and "low group" (N=25)), and Figure 101 shows graphs for subject group 2 limited to those in their 60s ("high group" (N=24) and "low group" (N=24)). Figures 100 and 101 show that in both younger and older age groups, those with a high level of cheek wrinkles tended to have a higher level of scalp yellowness than those with a low level of cheek wrinkles. These results confirmed a correlation, regardless of age, between the tendency for the higher level of scalp yellowness to be associated with a higher level of cheek wrinkles, and the tendency for the higher level of cheek wrinkles to be associated with a higher level of scalp yellowness.

[0228] (G-4) Correlation between scalp mobility and cheek wrinkle level For each subject in Subject Group 2, the level of cheek wrinkles was measured and the ease of scalp mobility was evaluated. Here, the level of cheek wrinkles was the same as in (G-1) above. The ease of movement of the scalp was the same as in (D-5) above.

[0229] Figure 102 shows a graph plotting scalp mobility against cheek wrinkle level. Next, for the subjects in subject group 2, as in (G-1) above, a multiple regression analysis using partial correlation was performed using R (statistical analysis software) to determine the relationship between the level of cheek wrinkles and ease of scalp mobility, and the P value in the Mann-Whitney U test was calculated.

[0230] Figure 103 shows a graph of the ease of scalp movement relative to the level of cheek wrinkles. From the graph in Figure 103, it can be seen that the group with a high level of cheek wrinkles tended to have a more difficult to move scalp (stiff scalp) than the group with a low level of cheek wrinkles. In addition, the P value between the ease of scalp movement in the group with a low level of cheek wrinkles and the ease of scalp movement in the group with a high level of cheek wrinkles was 0.024 (P<0.05). Therefore, a high correlation was confirmed between the tendency for the scalp to be more difficult to move (stiff scalp) and the tendency for the level of cheek wrinkles to be higher, and the tendency for the scalp to be more difficult to move (stiff scalp) as the level of cheek wrinkles increases.

[0231] Figure 104 shows graphs for subject group 2 limited to those in their 20s ("high group" (N=25) and "low group" (N=25)), and Figure 105 shows graphs for subject group 2 limited to those in their 60s ("high group" (N=24) and "low group" (N=24)). Figures 104 and 105 show that in both the younger and older age groups, those with a high level of cheek wrinkles tended to have a more difficult to move scalp (stiff scalp) than those with a low level of cheek wrinkles. These results confirmed a correlation, independent of age, between the tendency for the scalp to be more difficult to move (stiff scalp) and the tendency for the cheek wrinkle level to be higher.

Claims

1. Estimating the facial skin condition of the subject based on the condition of the subject's hair and / or scalp, or Estimating the condition of the subject's hair and / or scalp based on the condition of the subject's facial skin; Estimation method.

2. The hair and / or scalp condition includes at least one of the hair manageability level, hair aging level, number of hairs, number of gray hairs, gray hair level, scalp oil content, scalp redness level, scalp yellowness level, scalp mobility, and scalp moisture evaporation rate. The estimation method according to claim 1 .

3. The facial skin condition includes at least one of the amount of water evaporation from the facial skin, the number of pores on the facial skin, the amount of melanin on the facial skin, the elasticity of the facial skin, the amount of oil on the facial skin, the roughness of the facial skin texture, and the level of wrinkles on the facial skin. The estimation method according to claim 1 or 2.

4. The hair and / or scalp condition includes at least one of a hair manageability level and a scalp moisture loss amount, and the facial skin condition includes a facial moisture loss amount. The estimation method according to claim 1 or 2.

5. The hair and / or scalp condition includes the amount of oil on the scalp, and the facial skin condition includes the number of pores on the facial skin. The estimation method according to claim 1 or 2.

6. The hair and / or scalp condition includes at least one of the aging level of hair, the number of hairs, the number of gray hairs, the redness level of scalp, the yellowness level of scalp, and the oil content of scalp, The facial skin condition includes the amount of melanin in the facial skin. The estimation method according to claim 1 or 2.

7. The hair and / or scalp condition includes at least one of a hair aging level, a gray hair level, a scalp redness level, a scalp yellowness level, and a scalp mobility level, The facial skin condition includes facial skin elasticity. The estimation method according to claim 1 or 2.

8. The hair and / or scalp condition includes the amount of oil on the scalp, and the facial skin condition includes the amount of oil on the facial skin. The estimation method according to claim 1 or 2.

9. The hair and / or scalp condition includes at least one of a gray hair level, a redness level of the scalp, a yellowness level of the scalp, and ease of movement of the scalp, The facial skin condition includes at least one of a roughness of the facial skin texture and a wrinkle level of the facial skin. The estimation method according to claim 1 or 2.

10. Selecting a facial skin cosmetic or a facial skin supplement to be recommended to the subject according to the estimation result of the facial skin condition obtained by the estimation method of claim 1 or 2, or According to the estimation result of the hair and / or scalp condition obtained by the estimation method of claim 1 or 2, a hair and / or scalp treatment agent or a hair and / or scalp supplement to be recommended to the subject is selected, Selection method.

11. An estimation support tool that supports estimation of a facial skin condition of a subject, comprising: an acquisition unit that acquires information indicating the condition of the subject's hair and / or scalp; A memory unit that stores information that serves as a comparison standard for the condition of the hair and / or scalp; an estimation unit that identifies estimated information about the facial skin condition of the subject based on a comparison between the information acquired by the acquisition unit and the information serving as the comparison standard; an output unit that outputs the estimated information; An estimation support tool with

12. An estimation support tool that supports estimation of a subject's hair and / or scalp condition, an acquisition unit that acquires information indicating the facial skin condition of the subject; a memory unit that stores information that serves as a comparison standard for facial skin conditions; An estimation unit that identifies estimated information about the condition of the subject's hair and / or scalp based on a comparison between the information acquired by the acquisition unit and the information serving as the comparison standard; an output unit that outputs the estimated information; An estimation support tool with

13. A method for estimating a facial skin condition, or a hair and / or scalp condition of a subject, using the estimation support tool according to claim 11 or 12.

14. Selecting an active ingredient for a facial skin supplement based on the condition of the hair and / or scalp before and after use of the supplement containing the candidate ingredient; Screening methods.

15. The method includes the steps of selecting an active ingredient for a facial skin supplement by the screening method according to claim 14, and compounding the selected active ingredient into the supplement. How supplements are manufactured.

16. Selecting an active ingredient for a hair and / or scalp supplement based on the condition of facial skin before and after use of the supplement containing the candidate ingredient; Screening methods.

17. The method includes selecting an active ingredient for a hair and / or scalp supplement by the screening method according to claim 16, and incorporating the selected active ingredient into the supplement. How supplements are manufactured.

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