Method for assessing the state of health factors from the perspective of cognitive function, information processing device and program

Abstract

The present invention addresses the problem of providing a method, an information processing device, and a program for assessing states of health elements from the viewpoint of cognitive function, and for making it possible to provide highly-reliable assessment results based on evidence (scientific basis). An embodiment of the present invention involves using a user index value of related indexes related to cognitive function for a health element to calculate a user state value indicating the state of the health element from the viewpoint of cognitive function on the basis of the ratio of the number of papers presenting ranges to which the user index value belongs to the overall number of preselected papers presenting ranges of index values of related indexes recommended from the viewpoint of cognitive function.

Description

[Technical Field]

[0001] The present invention relates to a method, an information processing device, and a program for evaluating the state of health factors (for example, nutrition (diet), exercise (physical activity), or sleep (rest)) from the perspective of cognitive function. [Background technology]

[0002] As society ages, the number of dementia patients is expected to increase. It is estimated that the number of dementia patients will exceed 10 million by 2050. Once dementia develops, recovery from symptoms such as the decline in cognitive function, known as the core symptom, is not expected. For this reason, prevention before the onset of dementia is extremely important. Furthermore, research into Alzheimer's disease (AD) is revealing that changes in the brain begin more than 20 years before the onset of AD. This research shows the importance of prevention at an even younger age.

[0003] Risk factors for the development of dementia include genetic background, such as the ApoE4 gene, and lifestyle-related diseases, such as diabetes and hypertension. Furthermore, lifestyle habits, such as smoking, social participation, decreased frequency of going out, and dietary habits, are also thought to be involved in the development of dementia. Regarding the relationship between dietary habits and the onset of dementia or cognitive function, reports have shown that a high protein intake reduces the risk of mild cognitive impairment, a precursor to dementia (Non-Patent Document 1) and that a positive correlation exists between protein intake and cognitive function in elderly people (Non-Patent Document 2). Therefore, protein intake is considered to be an important factor in the onset of dementia or cognitive function. Furthermore, the effects of dietary melatonin and tryptophan intake on cognitive function have been investigated (Non-Patent Document 3). Other reports have shown that lysine intake improves cognitive function in healthy individuals (Patent Document 1), suggesting the effects of L-arginine or lysine intake on the improvement of AD or anxiety-like symptoms (Non-Patent Documents 4-7), and suggesting that improved tyrosine intake improves working memory and cognitive decline (Non-Patent Document 8). [Prior art documents] [Patent documents]

[0004] [Patent Document 1] European Patent No. 2367547 [Non-patent literature]

[0005] [Non-Patent Document 1] J. Alzheimers Dis. 32(2) 329-339(2012) [Non-patent document 2] Am. J. Clin. Nutr. 65(1) 20-29(1997) [Non-patent document 3] Anglo Food Industry Hi-Tech 22 (4) 23-24 (2011) [Non-patent document 4] The American Journal of Medicine 108 (5) 439 (2000 Apr 1) [Non-Patent Document 5] Neuropsychiatric Disease and Treatment 6 707-710 (2010) [Non-patent document 6] Biomedical Research 28 (2) 85-90 (2007) [Non-Patent Document 7] J. Nutr. 132 (12) 3744-3746 (2002) [Non-patent document 8] Amino Acids 45 (5) 1035-1045 (2013) Summary of the Invention [Problem to be solved by the invention]

[0006] However, no technology has been developed that can reliably assess the state of health factors from the perspective of cognitive function.

[0007] The present invention has been made in consideration of the above-mentioned problems, and aims to provide a method, an information processing device, and a program for evaluating the state of health factors from the perspective of cognitive function, which can provide highly reliable evaluation results based on evidence (scientific basis). [Means for solving the problem]

[0008] In order to solve the above-mentioned problems and achieve the object, the method of the present invention is a method for evaluating the state of a health element from the perspective of cognitive function, and is characterized by including a calculation step of using the user's index values ​​of related indicators related to cognitive function in the health element to calculate a state value of the user that represents the state of the health element from the perspective of cognitive function, based on the ratio of the number of papers that present a range to which the user's index value belongs to the total number of pre-selected papers that present a range of index values ​​of the related indicators recommended from the perspective of cognitive function.

[0009] In the method according to the present invention, the factor may be nutrition, exercise, sleep, or a combination thereof.

[0010] In addition, in the method according to the present invention, in the calculation step, the ratio may be calculated by taking into account the number of papers that present a range of index values ​​of the index that can be converted into the related index, which is recommended from the viewpoint of cognitive function, and the range of index values ​​of the related index obtained by converting the range presented in the paper using a predetermined conversion method.

[0011] In addition, in the method of the present invention, in the calculation step, if the index value of the user falls outside the entire range presented in the paper, the state value of the user may be calculated according to the correspondence between the index value that falls outside the entire range and the state value.

[0012] In the method according to the present invention, the correspondence relationship may be defined such that the state value decreases continuously or stepwise as the index value departs from the entire range.

[0013] Furthermore, in the method according to the present invention, the correspondence relationship may be expressed by a function in which the minimum value of the entire range is the maximum value of the domain, the state value corresponding to the ratio calculated using the minimum value is the maximum value of the range, and zero is the minimum value of the range, or by a function in which the maximum value of the entire range is the minimum value of the domain, the state value corresponding to the ratio calculated using the maximum value is the maximum value of the range, and zero is the minimum value of the range.

[0014] In the method according to the present invention, the index value adjusted based on the index values ​​obtained from a predetermined population may correspond to a state value of zero in the function.

[0015] In the method according to the present invention, the function may be an elementary function (for example, a polynomial function (an n-th order function where degree n is 1 or more), a square root, a cube root, an exponential function, a logarithmic function, or a trigonometric function).

[0016] In addition, in the method of the present invention, in the calculation step, if there are multiple related indicators, a state value of the user is calculated for each related indicator, and an integrated value is calculated by integrating all of the calculated state values.

[0017] In addition, in the method of the present invention, the integrated value may be the average value of the state values, the median value of the state values, the minimum value of the state values, or the average value of the state values ​​weighted according to information such as the quality or quantity of the papers.

[0018] In the method according to the present invention, the information may also include the impact factor value of the paper or the number of volumes of the paper.

[0019] In the method according to the present invention, the calculation step may be executed by a control unit included in an information processing device.

[0020] The method according to the present invention may further include a providing step in which the control unit provides content based on the value calculated in the calculating step.

[0021] Furthermore, the information processing device of the present invention is an information processing device that evaluates the state of health elements from the perspective of cognitive function, and is characterized in that the control unit has a calculation means that uses the user's index values ​​of related indicators related to cognitive function in the health elements to calculate a state value of the user that represents the state of health elements from the perspective of cognitive function, based on the ratio of the number of papers that present a range to which the user's index value belongs to the total number of pre-selected papers that present a range of index values ​​of the related indicators recommended from the perspective of cognitive function.

[0022] In addition, the program of the present invention is a program for evaluating the state of health elements from the perspective of cognitive function, and causes a control unit provided in an information processing device to function as a calculation means for calculating a state value of the user that represents the state of health elements from the perspective of cognitive function, using the user's index values ​​of related indicators related to cognitive function in health elements, based on the ratio of the number of papers that present a range to which the user's index value belongs to the total number of pre-selected papers that present a range of index values ​​of the related indicators recommended from the perspective of cognitive function. [Effects of the Invention]

[0023] The present invention has the effect of providing highly reliable evaluation results based on evidence (scientific basis). [Brief explanation of the drawings]

[0024] [Figure 1] FIG. 1 shows an example of nutritional assessment, exercise assessment, and sleep assessment from the perspective of cognitive function, as well as nutritional assessment based on the Dietary Reference Intakes for Japanese. [Figure 2] FIG. 2 is a diagram showing an example of nutritional assessment from the viewpoint of cognitive function. [Figure 3]FIG. 3 is a diagram showing an example of a graph showing the correspondence between nutrient intake and score related to the prevention or enhancement of cognitive decline. [Figure 4] FIG. 4 is a diagram showing an example of a graph showing the correspondence between the number of steps and the score. [Figure 5] FIG. 5 is a diagram showing an example of a graph showing the correspondence between the number of steps and the score. [Figure 6] FIG. 6 is a diagram showing an example of a graph showing the correspondence between sleep hours and scores. [Figure 7] FIG. 7 is a diagram showing an example of comment display settings. [Figure 8] FIG. 8 is a block diagram showing an example of the configuration of the information processing device 100. As shown in FIG. DETAILED DESCRIPTION OF THE INVENTION

[0025] DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, preferred embodiments of a method, an information processing device, and a program according to the present invention will be described in detail with reference to the accompanying drawings. However, the present invention is not limited to these preferred embodiments.

[0026] [1. Overview] Here, an overview of this embodiment will be described. In this embodiment, the state of health factors (for example, nutrition (diet), exercise (physical activity), sleep (rest), or a combination thereof, etc.) is evaluated. Specifically, in this embodiment, the state of health factors is evaluated from the perspective of cognitive function (for example, future risk of cognitive decline, etc.).

[0027] More specifically, in this embodiment, the user's index values ​​of related indicators related to cognitive function in health factors are used to calculate a user's status value representing the state of health factors from the perspective of cognitive function, based on "the ratio of the number of pre-selected papers that present the range to which the user's index value belongs to, to the total number of pre-selected papers that present the range of index values ​​of related indicators recommended from the perspective of cognitive function" (hereinafter referred to as "paper ratio"). Note that the calculation of the user's status value may be performed, for example, while calculating the paper ratio corresponding to the user. Alternatively, the calculation of the user's status value may be performed, for example, by applying the user's index value to a correspondence relationship between index values ​​and status values ​​(specifically, a graph or function representing the correspondence relationship) that has been created in advance, without calculating the paper ratio corresponding to the user. Note that the correspondence relationship may be created, for example, by calculating the paper ratio while changing the index value and calculating the status value according to the paper ratio.

[0028] Here, in this embodiment, the paper ratio may be calculated by taking into account the number of papers that present a range of index values ​​of an index that can be converted into a related index, which is recommended from the perspective of cognitive function, and the range of index values ​​of the related index obtained by converting the range presented in the paper using a predetermined conversion method (for example, a method of obtaining the index value of the related index by performing a certain number of operations such as addition, subtraction, multiplication, and division on the index value of the index to be converted (for example, an operation using a predetermined conversion formula)).

[0029] Furthermore, in this embodiment, if a user's index value falls outside the full range presented by a paper, the user's state value may be calculated according to a correspondence relationship between the index value outside the full range and the state value. The correspondence relationship may be defined so that the state value decreases continuously or stepwise as the index value deviates from the full range. Specifically, the correspondence relationship may be expressed as a function in which the minimum value of the full range is the maximum value of the domain, the state value corresponding to the paper percentage calculated using the minimum value is the maximum value of the range, and zero is the minimum value of the range, or a function in which the maximum value of the full range is the minimum value of the domain, the state value corresponding to the paper percentage calculated using the maximum value is the maximum value of the range, and zero is the minimum value of the range. In the function, an index value adjusted based on index values ​​obtained from a predetermined group may correspond to a state value of zero. The function may be, for example, an elementary function (e.g., a polynomial function (an n-th order function with degree n equal to or greater than 1), a square root, a cube root, an exponential function, a logarithmic function, or a trigonometric function).

[0030] In addition, in this embodiment, if there are multiple related indicators, a user status value may be calculated for each related indicator, and an integrated value may be calculated by integrating all of the calculated status values. Here, the integrated value may be, for example, the average status value, the median status value, the minimum status value, the average status value weighted according to information such as the quality or quantity of papers (e.g., the impact factor of the papers or the number of papers), or a value (weighted average) obtained by dividing the sum of the weighted status values ​​by the sum of the weighted values ​​used in the weighting. For example, if there are two papers on nutrient A, one paper on nutrient B, and one paper on nutrient C, and nutrient A has a status value of 50, nutrient B has a status value of 80, and nutrient C has a status value of 30, a weighted average value of 52.5 may be calculated using the formula "{(50 × 2) + 80 + 30} ÷ (2 + 1 + 1)." Furthermore, the weighted average may be calculated by taking into account not only the number of papers but also information such as the impact factor of the papers. For example, if there are two papers on nutrient A with impact factor values ​​of 2.2 and 1.3, one paper on nutrient B with impact factor value of 1.5, and one paper on nutrient C with impact factor value of 3.2, and the condition value of nutrient A is 50, the condition value of nutrient B is 80, and the condition value of nutrient C is 30, the weighted average value of 47.7 may be calculated using the formula "{(50 x 2.2 + 50 x 1.3) + 80 x 1.5 + 30 x 3.2} ÷ (2.2 + 1.3 + 1.5 + 3.2)".

[0031] In this embodiment, content (e.g., comments, advice, recommendations, etc.) may be provided based on the calculated state value or integrated value. Specifically, content may be provided according to the state value or integrated value.

[0032] In this embodiment, the nutritional status may be evaluated in accordance with the Dietary Reference Intakes for Japanese (for example, the latest one published by the Ministry of Health, Labor and Welfare).

[0033] In addition, in this embodiment, the above-described calculation, provision, and evaluation may be performed in a control unit included in the information processing device.

[0034] [1-1. An example of nutritional assessment from the perspective of cognitive function (see Figures 1-3)] When the health factor is nutrition, for example, the paper ratio may be calculated using the user's values ​​for the intake of nutrients related to the suppression or enhancement of cognitive decline (hereinafter referred to as "relevant nutrient intake"), and the user's score representing the nutritional status from the perspective of cognitive function may be calculated according to the calculated paper ratio. Note that the relevant nutrient intake is an example of a related indicator.

[0035] When the related indicator is related nutrient intake, for example, the user's value for related nutrient intake may be calculated from information about food linked to the user. The information about food may be, for example, 1) a photo of a meal or ingredients, 2) purchasing data (e.g., POS (Point of Sales) data, etc.) or electronic payment data about a meal or ingredients that make up the meal, 3) text information about the meal contents (e.g., input using an electronic device such as a smartphone or tablet), or 4) information about a dish selected by a user when a screen containing multiple options for cuisine (e.g., "tonkatsu" and "shabu-shabu" classified as "Japanese cuisine") is displayed on the monitor of an electronic device such as a smartphone or tablet, the screen containing multiple options for cuisine genre (e.g., "Japanese cuisine," "Western cuisine," "Chinese cuisine," etc.) and the menu selected by the user (e.g., ingredients used in the dish and their amounts (e.g., weights, etc.)). Also, for example, if the information about food is purchase data (such as provided by a retailer's POS system), the value of the relevant nutrient intake may be the value of the relevant nutrient intake in the food ingredients estimated by assuming that the purchased item was consumed as a meal, or a value calculated by making corrections to that value.

[0036] When the relevant indicator is the intake of a relevant nutrient, for example, papers may be selected that satisfy at least one of the following criteria (11) to (15) and do not satisfy at least one of the following criteria (21) to (25). In selecting papers, it is preferable that the number of criteria (11) to (15) that are satisfied is large, and it is preferable that the number of criteria (21) to (25) that are not satisfied is large. (11) The paper is a longitudinal study. (12) The paper was conducted on healthy subjects at the start of the study. (13) The paper was targeted at people aged 40 or over. (14) The paper evaluated items related to dementia or cognitive function. (15) This is an original paper. (21) This paper is about nutrients (such as polyphenols) whose intake cannot be calculated using application software. (22) Papers in which the daily intake of nutrients cannot be quantified (e.g., papers reporting the relationship between blood concentrations of nutrients and cognitive function). (23) Papers that are not nutritionally convincing (for example, papers that report “intake amounts and reference intake amounts that significantly show the suppression or enhancement of cognitive decline” that significantly deviate from the dietary reference intakes for Japanese people). (24) The paper is targeted at a limited population (e.g., a population with a specific disease, a population with a specific genetic background, or a population of a specific gender, etc.). (25) This paper reported on the relationship between a combination of multiple nutrients and cognitive function.

[0037] When the related indicator is the intake of related nutrients, the user's score may be calculated from the user's values ​​for the intake of related nutrients, for example, according to a graph showing the correspondence between the intake of related nutrients and the score, as shown in Figure 3. Figure 3 is a diagram showing an example of a graph showing the correspondence between the intake of related nutrients and the score. Note that when the intake of related nutrients is limited to a user's characteristics (such as gender), the user's score may be calculated according to a graph corresponding to the user's characteristics.

[0038] The graph (1) in Figure 3 is an example of a graph set when the total number of papers is 1. The part A1 in the graph (1) in Figure 3 is the recommended range R A1 This shows the relationship between the value of related nutrient intake and the score. A1 If the paper belongs to the recommended range R, the paper ratio will be 1. A1 For the other two, a score of 100 may be set according to the paper ratio. Parts A2 and A3 of the graph (1) in Figure 3 are within the recommended range R A1 This represents the relationship between the score and the value of the relevant nutrient intake that deviates from the above. The relationship may be defined by a linear function as shown.

[0039] The graph (2) in Figure 3 is an example of a graph set when the total number of papers is 1. The part B1 of the graph (2) in Figure 3 is the recommended range R B1 This shows the relationship between the value of related nutrient intake and the score. B1 If the paper belongs to the recommended range R, the paper ratio will be 1. B1 For the (2) graph in Figure 3, the part B2 is within the recommended range R B1 This represents the relationship between the score and the value of the relevant nutrient intake that deviates from the above. The relationship may be defined by a linear function as shown.

[0040] The graph (3) in Figure 3 is an example of a graph set when the total number of papers is 1. The part C1 of the graph (3) in Figure 3 is the recommended range R C1 This shows the relationship between the value of related nutrient intake and the score. C1 If the paper belongs to the recommended range R, the paper ratio will be 1. C1 For the (3) graph in Figure 3, the part C2 is within the recommended range R C1This shows the relationship between the score and the value of the relevant nutrient intake outside the recommended range R. The relationship may be defined by a linear function as shown in the figure. In part C2, the value of the relevant nutrient intake when the score is zero is adjusted based on the value of the relevant nutrient intake obtained from a specified population. Part C3 of the graph (3) in Figure 3 shows the relationship between the value of the relevant nutrient intake outside the recommended range R. C1 This shows the relationship between the score and the value of the relevant nutrient intake outside the recommended range R. The relationship may be defined as a straight line where the score is always zero, as shown in the figure. c1 is defined only by a lower limit, such as "related nutrient intake ≧ value x," a relationship (e.g., a relationship represented by a graph such as part C2) may be added, such that the score decreases when the related nutrient intake value exceeds the threshold (required amount, recommended amount, approximate amount, target amount, or tolerable upper intake) presented in the Dietary Reference Intakes for Japanese (2020 edition). In other words, the score corresponding to the related nutrient intake value may be adjusted using external information (e.g., nutritionally useful information, etc.).

[0041] The graph (4) in Figure 3 is an example of a graph set when the total number of papers is 1. The part D1 of the graph (4) in Figure 3 is the recommended range R D1 This shows the relationship between the value of related nutrient intake and the score. D1 If the paper belongs to the recommended range R, the paper ratio will be 1. D1 The score for the paper proportion may be set to 100. The part D2 of the graph (4) in Figure 3 is within the recommended range R D1 This shows the relationship between the score and the value of the relevant nutrient intake outside the recommended range R. The relationship may be defined by a linear function as shown. D1 This graph shows the relationship between the score and the value of the relevant nutrient intake that deviates from the standard (for example, a value that exceeds the tolerable upper intake limit of the Japanese Dietary Reference Intake). The relationship may be defined as a straight line where the score is always zero, as shown in the figure.

[0042] The graph (5) in Figure 3 is an example of a graph set when the total number of papers is 3. The part E1 of the graph (5) in Figure 3 is the recommended range R E1 This shows the relationship between the value of related nutrient intake and the score. E1 If the paper belongs to the recommended range R, the paper ratio will be 1 (= 3 / 3). E1 The part E2 of the graph (5) in Figure 3 is the recommended range R E2 This represents the relationship between the value of the relevant nutrient intake that falls within the recommended range R and the score. The relationship may be defined by a linear function as shown in the figure. E2 If the paper belongs to the recommended range R, the paper ratio will be 2 / 3. E2 For the minimum value of , a score according to the proportion of papers can be set as "(2 / 3) x 100". Part E3 of the graph (5) in Figure 3 is the recommended range R that corresponds to only one paper. E3 This represents the relationship between the value of the relevant nutrient intake that falls within the recommended range R and the score. The relationship may be defined by a linear function as shown in the figure. E3 If the paper belongs to the recommended range R, the paper ratio will be 1 / 3. E3 For the minimum value of (5), a score of "(1 / 3) x 100" may be set according to the proportion of papers. Part E4 of the graph (5) in Figure 3 shows the relationship between the score and the value of the relevant nutrient intake outside the full recommended range. This relationship may be defined by a linear function as shown. Part E5 of the graph (5) in Figure 3 shows the relationship between the score and the value of the relevant nutrient intake outside the full recommended range (for example, a value exceeding the tolerable upper intake amount in the Dietary Reference Intakes for Japanese people). This relationship may be defined by a straight line where the score is always zero, as shown.

[0043] When the related indicator is the intake of a related nutrient and there are multiple intakes of the related nutrient, the user's score may be calculated for each intake of the related nutrient, and all the calculated scores may be integrated to calculate an integrated score. Specifically, the integrated score may be calculated as the average of the scores weighted according to the impact factor of the paper or the number of papers.

[0044] The calculated score or integrated score may be displayed in a predetermined display format such as a pie chart on a monitor (specifically, a display screen provided by application software having a function related to the nutritional evaluation of this embodiment) of an electronic device such as a smartphone or wearable device. Comments according to the calculated score or integrated score may be displayed on the monitor (specifically, a display screen) together with the score or integrated score.

[0045] Comments set according to a predetermined standard may be displayed on a monitor (specifically, a display screen) along with the calculated score or integrated score. To prioritize the display of comments about nutrients (hereinafter referred to as "related nutrients") that correspond to problematic related nutrient intakes, comments about the related nutrients may be randomly displayed according to a comment display probability. The comment display probability may be assigned to each related nutrient, and may be set based on a standard such as assigning a higher probability to related nutrients with lower scores (e.g., assigning a relatively large value (e.g., 0.9 (90%), 0.8 (80%), or 0.7 (70%)) to the related nutrient with the lowest score, and a relatively small value (e.g., 0.1 (10%), 0.2 (20%), or 0.3 (30%)) to the related nutrient with the second lowest score). If there are multiple related nutrients with the lowest scores, the related nutrient with the highest comment display probability may be randomly selected from the multiple related nutrients. Dietary information (e.g., recommended menus or recommended ingredients) based on the comments may be displayed. Furthermore, if the low score is due to insufficient intake of related nutrients, information about diet may be displayed.

[0046] The calculation and display described above may be performed by a control unit included in the information processing device. The nutritional information described in 1-1 can also be applied to health factors other than nutritional information described in 1-2 and 1-3 below.

[0047] [1-2. An example of exercise evaluation from the perspective of cognitive function (see Figures 1, 4, and 5)] For example, if the health factor is exercise, the user's value for the number of steps may be used to calculate a paper ratio, and the user's score representing the state of exercise from the perspective of cognitive function may be calculated according to the calculated paper ratio. The number of steps is an example of a related indicator.

[0048] When the related indicator is the number of steps, for example, the user's value for the number of steps may be obtained from a pedometer carried by the user (e.g., a pedometer incorporated in an electronic device such as a smartphone or a wearable device). When the related indicator is the number of steps, for example, a METs (metabolic equivalents) value corresponding to the type of exercise performed by the user (e.g., one designated by the user) may be obtained from a correspondence table (specifically, a METs table disclosed by the National Institute of Health and Nutrition) between the type of exercise (e.g., exercise at a fitness club, jogging, swimming, etc.) and the METs value, and the user's value for the number of steps may be calculated from the obtained METs value and the duration of the exercise performed by the user (e.g., one designated by the user) according to a predetermined calculation method (specifically, the formula "number of steps = 117 × (METs value / 3.5) × exercise duration").

[0049] If the relevant indicator is the number of steps, for example, papers may be selected that satisfy at least one of the following criteria (31) to (36) and do not satisfy either one or both of the following criteria (41) and (42). In selecting papers, it is preferable that the number of criteria (31) to (36) that are satisfied is large, and it is preferable that the number of criteria (41) and (42) that are not satisfied is large. (31) The paper is a longitudinal study. (32) This paper was conducted on healthy subjects. (33) This paper is aimed at people aged 40 or over. (34) The paper evaluated items related to dementia or cognitive function. (35) This is an original paper. (36) This paper investigates parameters related to walking. (41) This paper investigated 6m walking speed and cannot be used to set a threshold for the number of steps. (42) The paper is not the largest cohort study with the largest number of subjects analyzed.

[0050] When the relevant indicator is the number of steps, for example, the paper ratio may be calculated by taking into account the number of papers that present a range of walking time values ​​recommended from the perspective of cognitive function and the range of step value obtained by converting the range presented in the paper using a predetermined conversion method (specifically, a conversion method created using data on average step pace per minute published by the National Center for Geriatrics and Gerontology).

[0051] When the related indicator is the number of steps, the user's score may be calculated from the user's value for the number of steps, for example, according to a graph showing the correspondence relationship between the number of steps and the score, as shown in Fig. 4. Fig. 4 is a diagram showing an example of a graph showing the correspondence relationship between the number of steps and the score.

[0052] The graph shown in Figure 4 is an example of a graph set when the total number of papers is 2. The part F1 of the graph shown in Figure 4 is the recommended range R F1 This shows the relationship between the number of steps that belong to the recommended range R and the score. F1 If the paper belongs to the recommended range R, the paper ratio will be 1 (= 2 / 2). F1 For each paper, a score of 100 may be set according to the paper ratio. The part F2 in the graph shown in Figure 4 is the recommended range R F2 This represents the relationship between the number of steps that belong to the recommended range R and the score. The relationship may be defined by a linear function as shown in the figure. F2 If the paper belongs to the recommended range R, the paper ratio will be 1 / 2.F2 For the minimum value of , a score of 50 (= (1 / 2) × 100) may be set according to the proportion of papers. Part F3 of the graph in Figure 4 shows the relationship between the score and the step count value outside the full recommended range. This relationship may be defined by a linear function, as shown.

[0053] The graph shown in Figure 5 is an example of a graph set when the total number of papers is 1. The portion G1 of the graph shown in Figure 5 is the recommended range R G1 This shows the relationship between the number of steps that belong to the recommended range R and the score. G1 If the paper belongs to the recommended range R, the paper ratio will be 1. G1 The score for the paper ratio may be set to 100. The part G2 in the graph shown in Figure 5 is within the recommended range R G1 This represents the relationship between the score and the number of steps that deviate from the range. This relationship may be defined by a linear function as shown in the figure. Here, if there are multiple recommended ranges for one paper, one recommended range may be selected from the multiple recommended ranges, or multiple recommended ranges may be selected. When selecting only one recommended range, it may be selected to be close to the other recommended ranges. Furthermore, when multiple recommended ranges are selected, the paper ratio may be calculated assuming that there are the same number of papers as the number selected. In other words, when calculating the paper ratio, the number of papers may be counted based on the number of recommended ranges adopted.

[0054] The calculated score may be displayed in a predetermined display format such as a pie chart on a monitor (specifically, a display screen provided by application software having a function related to exercise evaluation of this embodiment) provided in an electronic device such as a smartphone or a wearable device. Comments according to the calculated score may be displayed on the monitor (specifically, a display screen) together with the score.

[0055] The calculation and display described above may be performed by a control unit included in the information processing device. Furthermore, the exercise-related matters described in 1-2 can also be applied to matters related to health factors other than exercise, such as those described in 1-1 above and 1-3 below.

[0056] [1-3. An example of sleep evaluation from the perspective of cognitive function (see Figures 1 and 6)] When the health factor is sleep, for example, the user's sleep duration may be used to calculate a paper ratio, and the user's score representing the state of sleep from the perspective of cognitive function may be calculated according to the calculated paper ratio. Sleep duration is an example of a related indicator.

[0057] If the relevant indicator is sleep time, the user's value for sleep time may be obtained from sleep management application software installed in an electronic device such as a smartphone or wearable device owned by the user.

[0058] When the relevant indicator is sleep duration, for example, papers may be selected that satisfy at least one of the following criteria (51) to (55) and do not satisfy either one or both of the following criteria (61) and (62). In selecting papers, it is preferable that the number of criteria (51) to (55) that are satisfied is large, and it is preferable that the number of criteria (61) and (62) that are not satisfied is large. (51) This paper is a longitudinal study. (52) This paper was conducted on healthy subjects. (53) This paper is aimed at people aged 40 or over. (54) The paper evaluated items related to dementia or cognitive function. (55) This is an original paper. (61) The paper was based on a limited population (e.g., a population of only women). (62) This paper is not the largest cohort study with the largest number of subjects analyzed.

[0059] When the related index is sleep time, the user's score may be calculated from the user's value for sleep time according to a graph showing the correspondence relationship between sleep time and score, for example, as shown in Fig. 6. Fig. 6 is a diagram showing an example of a graph showing the correspondence relationship between sleep time and score.

[0060] The graph shown in FIG. 6 is an example of a graph created by the following steps 1 to 6 when the total number of papers is nine. [Step 1] From each paper, obtain the range of sleep duration associated with a significant risk of cognitive decline, the range of sleep duration without a significant risk of cognitive decline, and the reference range of sleep duration. For example, from one paper, obtain the range of sleep duration associated with a significant risk of cognitive decline, such as "sleep duration < 5 hours" and "sleep duration ≥ 8 hours," the range of sleep duration without a significant risk of cognitive decline, such as "sleep duration ≤ 7 hours < 8 hours," and the reference range of sleep duration, such as "sleep duration ≤ 5 hours < 7 hours." [Step 2] While varying the value x of sleep time, calculate the score (%) defined as "the percentage of the number of papers that meet the condition that the value x falls within the range of sleep time without significant risk of cognitive decline or the range of reference sleep time, relative to the total number of papers" x 100" and create a graph with sleep time on the horizontal axis and score on the vertical axis (corresponding to the stepped graph drawn by the dotted line in Figure 6). [Step 3] In the graph set in Step 2, by connecting each change point where the score value changes with a line segment (straight line or curved line), a graph that can obtain continuous scores (corresponding to the graph with the sections H1 to H4 set in Figure 6) is created from the graph that can only obtain discontinuous scores. In other words, the graph is smoothed. [Step 4] Using publicly known statistical data on the sleep duration of the user group (e.g., the average sleep duration and standard deviation of Japanese men and women aged 50 and over disclosed in the 2015 "National Time Use Survey (NHK Broadcasting Culture Research Institute)"), the upper and lower limits of the sleep duration range estimated to fall within 95% of the user group are calculated, and predetermined values ​​(e.g., values ​​less than the lowest score calculated in step 2 (e.g., 35, 30, 25, 20, 15, 10, etc.)) are assigned as scores corresponding to the calculated upper and lower limits, thereby generating a first combination of the lower limit and the predetermined value, and a second combination of the upper limit and the predetermined value. Using the statistical data, the upper and lower limits of the sleep duration range estimated to fall within 99% of the user group are calculated, and zero is assigned as scores corresponding to the calculated upper and lower limits, thereby generating a third combination of the lower limit and zero, and a fourth combination of the upper limit and zero. [Step 5] On the graph created in Step 3, plot point P1 corresponding to the first combination, point P2 corresponding to the second combination, point P3 corresponding to the third combination, and point P4 corresponding to the fourth combination. [Step 6] In the graph on which four points are plotted, point P1 is connected with the change point closest to point P1 among those connected with a line segment in step 3, point P1 is connected with point P3 with a line segment, point P2 is connected with the change point closest to point P2 among those connected with a line segment in step 3 with a line segment, point P2 is connected with point P4 with a line segment, and a line is drawn from point P3 toward the origin of the horizontal axis, and a line is drawn from point P4 in the opposite direction to the origin of the horizontal axis to create a graph from which continuous scores can be obtained (corresponding to the graph with parts H1 to H10 shown in Figure 6 set). In other words, the graph is smoothed.

[0061] The calculated score may be displayed in a predetermined display format such as a pie chart on a monitor (specifically, a display screen provided by application software having a function related to sleep evaluation of this embodiment) of an electronic device such as a smartphone or a wearable device. Comments according to the calculated score may be displayed on the monitor (specifically, the display screen) together with the score.

[0062] The calculation and display described above may be performed by a control unit included in the information processing device. Furthermore, the sleep-related items described in 1-3 can also be applied to the health factors other than sleep described in 1-1 and 1-2 above.

[0063] [1-4. An example of nutritional assessment based on the Japanese Dietary Reference Intakes (see Figures 1 and 7)] When the health factor is nutrition, for example, the user's values ​​for age, sex, and weight, as well as nutrient intake (specifically, daily intake), may be used to calculate the ratio of intake to the threshold (required amount, recommended amount, guideline amount, target amount, or tolerable upper limit) set out in the Dietary Reference Intakes for Japanese (2020 edition) (hereinafter referred to as the "intake ratio"), and the intake fulfillment rate relative to the threshold may be calculated based on the calculated intake ratio.

[0064] The intake rate and sufficiency rate may be calculated for each attribute of a meal, such as breakfast, lunch, or dinner. When calculating the intake rate and sufficiency rate for each attribute of a meal, a threshold value according to the attribute may be set. For example, the attribute-based threshold may be set as the product of a threshold value presented by the Dietary Reference Intakes and a coefficient according to the attribute. For example, the attribute-based coefficient may be assigned as 1 / 3 for breakfast, 1 / 3 for lunch, and 1 / 3 for dinner, or as 1 / 4 for breakfast, 3 / 8 for lunch, and 3 / 8 for dinner.

[0065] For example, the intake ratio of the user's energy intake relative to the energy requirement shown in Table 1 (specifically, the energy requirement corresponding to physical activity level II) and the fulfillment rate according to the intake ratio (for example, the fulfillment rate defined as intake ratio x 100) may be calculated. If the user is under 18 years old, the user may be assumed to be 18 years old. [Table 1]

[0066] For example, the user's protein intake ratio relative to the recommended protein amount shown in Table 2 and the sufficiency rate according to the intake ratio (for example, the sufficiency rate defined as intake ratio x 100) may be calculated. If the user is under 18 years old, the user may be assumed to be 18 years old. [Table 2]

[0067] For example, the user's lipid intake ratio relative to the minimum value of the lipid target range shown in Table 3 and the fulfillment rate according to the intake ratio (for example, the fulfillment rate defined as the intake ratio x 100) may be calculated. If the user is under 18 years old, the user may be assumed to be 18 years old. [Table 3]

[0068] For example, the user's carbohydrate intake percentage relative to the minimum value of the carbohydrate target range shown in Table 4 and the fulfillment rate according to the intake rate (for example, the fulfillment rate defined as intake rate x 100) may be calculated. If the user is under 18 years old, the user may be assumed to be 18 years old. [Table 4]

[0069] For example, the user's vitamin A intake ratio relative to the recommended amount of vitamin A shown in Table 5 and the sufficiency rate according to the intake ratio (for example, the sufficiency rate defined as intake ratio x 100) may be calculated. If the user is under 18 years old, the user may be assumed to be 18 years old. [Table 5]

[0070] For example, the intake ratio of the user's essential amino acid intake to the essential amino acid requirement shown in Table 6 and the fulfillment rate according to the intake ratio (for example, the fulfillment rate defined as intake ratio x 100) may be calculated. If the user is under 18 years old, the user may be assumed to be 18 years old. The weight value used in this calculation is not limited to the user's value, and may be an arbitrarily set value. [Table 6]

[0071] The calculated intake rate or sufficiency rate may be displayed in a predetermined display format, such as a bar graph, on a monitor of an electronic device such as a smartphone or wearable device (specifically, on a display screen provided by application software having a function related to nutritional assessment according to the dietary reference intakes of this embodiment).When displaying the intake rate or sufficiency rate corresponding to a nutrient for which low intake is recommended, for example, the intake rate or sufficiency rate may be displayed in a color unique to that nutrient that differs from the display colors applied to other nutrients, or in a display method that distinguishes it from nutrients for which high intake is recommended.

[0072] Comments set according to predetermined standards may be displayed on the monitor (specifically, on the display screen) together with the calculated intake rate or sufficiency rate. If the user's intake of none of the nutrients exceeds the tolerable upper limit, comments about nutrients may be displayed randomly, for example, according to the comment display probability, in order to prioritize the display of comments about problematic nutrients. The comment display probability is assigned to each nutrient and may be defined, for example, as the ratio of the nutrient's weighting value to the sum of the weighting values ​​of all nutrients that are the subject of the calculation. A weighting value is assigned to each nutrient and may be defined, for example, as the ratio of the intake threshold. The weighting value assigned to a nutrient for which low intake is considered preferable may be defined, for example, as the reciprocal of the above, i.e., the ratio of the intake to the threshold. For a nutrient with zero intake, for example, 1.0 x 10 -10A very small weighting value such as "amount of intake of one or more nutrients exceeds the tolerable upper limit" may be assigned. If the user's intake exceeds the tolerable upper limit, for example, a comment about a nutrient randomly selected from the exceeded nutrients may be displayed in order to prioritize safety. Dietary information in accordance with the comment may be displayed. Furthermore, dietary information may be displayed when the intake rate or sufficiency rate is low.

[0073] The calculation and display described above may be performed by a control unit included in the information processing device. Preferably, the display content described in 1-4 is displayed on a single screen together with the display content described in 1-1, 1-2, and / or 1-3 above. This allows the user to simultaneously receive general comments regarding nutritional intake in addition to comments from the perspective of cognitive function. The display content described in 1-4 may also be displayed on a screen separate from the screen displaying the display content described in 1-1, 1-2, and / or 1-3 above. Both the comments from the perspective of cognitive function and the general comments regarding nutritional intake may be displayed, or one may be prioritized by appropriately weighting the comments, or a comprehensive comment may be displayed taking both comments into consideration (this description is similarly applicable to dietary information (e.g., recommended menus or recommended ingredients)).

[0074] [2. Configuration and Processing] 8 is a diagram showing an example of the configuration of the information processing device 100 according to this embodiment. The information processing device 100 evaluates the state of health factors.

[0075] The information processing device 100 includes a control unit 102 that performs overall control of the device, such as a CPU (Central Processing Unit), a communication interface unit 104 that communicatively connects the device to a network 300 via a communication device, such as a router, and a wired or wireless communication line, such as a dedicated line, a storage unit 106 that stores various databases, tables, files, etc., and an input / output interface unit 108 that connects to an input device 112 and an output device 114. The units included in the information processing device 100 are communicatively connected via any communication path. Note that the information processing device 100 may be communicatively connected to an external device, for example, via a network 200 (e.g., the Internet, an intranet, or a LAN (including both wired and wireless)).

[0076] The information processing device 100 may be, for example, a stationary or portable information processing device (e.g., a desktop personal computer, a notebook personal computer, a smartphone, a wearable device, etc.) owned by a user, or may be an information processing device that acts as a server (a so-called server) and is capable of communicating with a stationary or portable information processing device owned by a user.

[0077] The communication interface unit 104 mediates communication between the information processing device 100 and the network 200 (or a communication device such as a router). That is, the communication interface unit 104 has a function of communicating data with other information processing devices via a communication line.

[0078] An input device 112 and an output device 114 are connected to the input / output interface unit 108. The output device 114 may be a monitor, a speaker, a printer, or the like. The input device 112 may be a keyboard, a mouse, a microphone, a monitor that cooperates with a mouse to realize a pointing device function, a touch panel, or the like.

[0079] The memory unit 106 is a storage means. For example, a memory device such as a RAM or ROM, a fixed disk device such as a hard disk, a flexible disk, or an optical disk can be used as the memory unit 106. The memory unit 106 may store a computer program that works in cooperation with an OS (Operating System) to issue commands to a CPU to perform various processes.

[0080] The control unit 102 has an internal memory for storing control programs such as an OS, programs defining various processing procedures, required data, etc., and executes various information processes based on these programs.

[0081] The control unit 102 conceptually includes a capturing unit 102a, a first evaluating unit 102b, a first providing unit 102c, a second evaluating unit 102d, and a second providing unit 102e.

[0082] The import unit 102a imports information linked to the user (for example, the user's index value of the related index or values ​​related to the user's characteristics (for example, age, sex, or weight)) used in the first evaluation unit 102b and the second evaluation unit 102d.

[0083] The first evaluation unit 102b evaluates the user's state regarding health factors from the perspective of cognitive function using the information acquired by the acquisition unit 102a. Specifically, the first evaluation unit 102b calculates the user's state value regarding health factors from the perspective of cognitive function based on the paper proportion using the user's index values ​​for the related indexes. In other words, the first evaluation unit 102b functions as a calculation means of the present invention. The first evaluation unit 102b may calculate the user's state value, for example, while calculating the paper proportion corresponding to the user. Alternatively, the first evaluation unit 102b may calculate the user's state value without calculating the paper proportion corresponding to the user, for example, by applying the user's index value to a correspondence relationship between index values ​​and state values ​​(specifically, a graph or function representing the correspondence relationship) that has been created in advance. The correspondence relationship may be created, for example, by calculating the paper proportion while changing the index value and calculating the state value according to the paper proportion.

[0084] The first evaluation unit 102b may calculate the paper ratio by taking into account the number of papers that present a range of index values ​​of indicators that can be converted into related indicators, which is recommended from the perspective of cognitive function, and the range of index values ​​of the related indicators obtained by converting the range presented in the paper using a specified conversion method.

[0085] When a user's index value falls outside the full range presented by a paper, the first evaluation unit 102b may calculate the user's state value according to a correspondence relationship between the index value outside the full range and the state value. The correspondence relationship may be defined so that the state value decreases continuously or stepwise as the index value deviates from the full range. Specifically, the correspondence relationship may be expressed as a function in which the minimum value of the full range is the maximum value of the domain, the state value corresponding to the paper percentage calculated using the minimum value is the maximum value of the range, and zero is the minimum value of the range, or a function in which the maximum value of the full range is the minimum value of the domain, the state value corresponding to the paper percentage calculated using the maximum value is the maximum value of the range, and zero is the minimum value of the range. In the function, an index value adjusted based on index values ​​obtained from a predetermined group may correspond to a state value of zero. The function may be, for example, an elementary function (e.g., a polynomial function (an n-th order function with degree n equal to or greater than 1), a square root, a cube root, an exponential function, a logarithmic function, or a trigonometric function).

[0086] When there are multiple related indicators, the first evaluation unit 102b may calculate a state value for the user for each related indicator and calculate an integrated value by integrating all the calculated state values. Here, the integrated value may be, for example, the average state value, the median state value, the minimum state value, the average state value weighted according to information such as the quality or quantity of papers (for example, the impact factor of the paper or the number of papers), or the ratio (weighted average value) of the sum of the weighted state values ​​to the sum of the weighted values ​​used in the weighting.

[0087] The first evaluation unit 102b may execute the calculation of the paper ratio and score described in 1-1 to 1-3 above.

[0088] The first providing unit 102c provides content (e.g., comments, advice, recommendations, etc.) based on the evaluation results (specifically, calculation results) obtained by the first evaluating unit 102b. The first providing unit 102c may provide content according to the state value or integrated value calculated by the first evaluating unit 102b. The first providing unit 102c may display the scores and comments described above in 1-1 to 1-3.

[0089] The second evaluation unit 102d evaluates the user's nutritional status in accordance with the Japanese Dietary Reference Intakes using the information acquired by the acquisition unit 102a. Specifically, the second evaluation unit 102d calculates the intake rate using the user's age, sex, weight, and values ​​for nutrient intake, and calculates the sufficiency rate according to the calculated intake rate. The second evaluation unit 102d may perform the calculations of the intake rate and sufficiency rate described in 1-4 above.

[0090] The second providing unit 102e provides content (e.g., comments, advice, recommendations, etc.) based on the evaluation results (specifically, calculation results) obtained by the second evaluating unit 102d. The second providing unit 102e may also display the intake rate or fulfillment rate and the comments as described in 1-4 above.

[0091] 3. Other Embodiments Although the embodiments of the present invention have been described above, the present invention may be implemented in various different embodiments other than those described above within the scope of the technical concept set forth in the claims.

[0092] For example, among the processes described in the embodiments, all or part of the processes described as being performed automatically can be performed manually, or all or part of the processes described as being performed manually can be performed automatically using known methods.

[0093] In addition, the processing procedures, control procedures, specific names, registered data for each process, information including parameters such as search conditions, screen examples, and database configurations shown in the above documents and drawings can be changed as desired unless otherwise specified.

[0094] Furthermore, with regard to each device, the components shown in the drawings are functional concepts, and do not necessarily have to be physically configured as shown in the drawings.

[0095] For example, all or any part of the processing functions of the information processing device 100, particularly the processing functions performed by the control unit 102, may be implemented by a CPU or GPU and a program interpreted and executed by the CPU or GPU, or may be implemented as hardware using wired logic. The program is recorded on a non-transitory computer-readable recording medium containing programmed instructions for causing the information processing device to execute the information processing method of the present invention, and is mechanically read by the information processing device 100 as needed. That is, a computer program is recorded in the storage unit 106, such as a ROM or HDD, for cooperating with the OS to issue instructions to the CPU or GPU and perform various processes. The computer program is executed by being loaded into RAM and cooperates with the CPU or GPU to form the control unit.

[0096] This computer program may also be stored in an application program server connected to the information processing device 100 via any network, and all or part of it may be downloaded as needed.

[0097] The program according to the present invention may be stored in a non-transitory computer-readable recording medium or configured as a program product. Here, the term "recording medium" includes any "portable physical medium" such as a memory card, USB memory, SD card, flexible disk, magneto-optical disk, ROM, EPROM, EEPROM, CD-ROM, MO, DVD, and Blu-ray (registered trademark) Disc.

[0098] Furthermore, a "program" is a data processing method written in any language or description method, regardless of the format, such as source code or binary code. Note that a "program" is not necessarily limited to a single structure, but also includes a structure that is distributed as multiple modules or libraries, or a structure that achieves its function by cooperating with a separate program, such as an OS. Note that the specific configuration and reading procedure for reading a recording medium in each device shown in the embodiments, as well as the installation procedure after reading, can use well-known configurations and procedures.

[0099] The various databases stored in the memory unit 106 are storage means such as memory devices such as RAM and ROM, fixed disk devices such as hard disks, flexible disks, and optical disks, and store various programs, tables, databases, and web page files used for various processes and providing websites.

[0100] The information processing device 100 may be configured as a known information processing device such as a personal computer or a workstation, or may be configured as an information processing device connected to any peripheral device. The information processing device 100 may also be realized by installing software (including a program or data) that causes the information processing device to realize the information processing method of the present invention.

[0101] Furthermore, the specific form of distribution and integration of the devices is not limited to that shown in the drawings, and all or part of them can be configured by functionally or physically distributing and integrating them in any unit depending on various additions or functional loads. In other words, the above-described embodiments can be implemented in any combination, or embodiments can be implemented selectively. [Industrial Applicability]

[0102] The present invention is particularly useful for assessing the status of components of health in terms of cognitive function. [Explanation of symbols]

[0103] 100 Information processing device 102 Control section 102a Intake section 102b First Evaluation Department 102c First Providing Department 102d Second Evaluation Division 102e Second provision part 104 Communication interface unit 106 Storage section 108 Input / Output Interface Section 112 Input Device 114 Output Device 200 Network

Claims

1. A method for assessing the status of health factors in terms of cognitive function, comprising: A control unit provided in the information processing device Executing a calculation step of calculating a state value of the user that represents the state of the health element from the viewpoint of cognitive function, using the user's index value of a related index related to cognitive function in the health element, based on the ratio of the number of papers that present a range to which the user's index value belongs to the total number of pre-selected papers that present a range of index values ​​of the related index recommended from the viewpoint of cognitive function; A method characterized by:

2. the factor being nutrition, exercise, sleep, or a combination thereof; The method of claim 1 ,

3. In the calculation step, the ratio is calculated by taking into account the number of papers that present a range of index values ​​of the index that can be converted into the related index, which is recommended from the viewpoint of cognitive function, and the range of index values ​​of the related index obtained by converting the range presented in the paper using a predetermined conversion method; 3. The method according to claim 1 or 2, characterized in that

4. In the calculation step, when the index value of the user falls outside the entire range presented in the paper, a state value of the user is calculated according to a correspondence relationship between the index value falling outside the entire range and a state value; 4. The method according to claim 1, wherein the first and second electrodes are connected to a first electrode.

5. the correspondence relationship is defined such that the state value decreases continuously or stepwise as the index value departs from the entire range; The method according to claim 4, characterized in that

6. the correspondence relationship is expressed by a function in which the minimum value of the entire range is the maximum value of the domain, the state value corresponding to the ratio calculated using the minimum value is the maximum value of the range, and zero is the minimum value of the range, or a function in which the maximum value of the entire range is the minimum value of the domain, the state value corresponding to the ratio calculated using the maximum value is the maximum value of the range, and zero is the minimum value of the range, The method of claim 5, wherein:

7. In the function, an index value adjusted based on index values ​​obtained from a predetermined population corresponds to a state value of zero; The method according to claim 6, characterized in that

8. the function is a polynomial function; 8. The method according to claim 6 or 7, characterized in that

9. In the calculation step, if there are a plurality of related indicators, a state value of the user is calculated for each related indicator, and an integrated value is calculated by integrating all the calculated state values; 9. The method according to claim 1, wherein the first and second electrodes are connected to a first electrode.

10. The integrated value is the average value of the state values, the median value of the state values, the minimum value of the state values, or the average value of the state values ​​weighted according to the quality or quantity information of the papers; The method according to claim 9, characterized in that

11. The information includes the impact factor value of the paper or the number of volumes of the paper; The method of claim 10, wherein:

12. the control unit further executes a providing step of providing content based on the value calculated in the calculating step; 12. The method according to claim 1, wherein the first and second electrodes are connected to a first electrode.

13. An information processing device that evaluates the state of a health element from the viewpoint of cognitive function and includes a control unit, The control unit A calculation means for calculating a state value of the user that represents the state of the health element from the viewpoint of cognitive function, using the user's index value of a related index related to cognitive function in the health element, based on the ratio of the number of papers that present a range to which the user's index value belongs to the total number of pre-selected papers that present a range of index values ​​of the related index recommended from the viewpoint of cognitive function. To have An information processing device characterized by:

14. A program for assessing the status of health factors from the perspective of cognitive function, A control unit provided in the information processing device A calculation means for calculating a state value of the user that represents the state of the health element from the viewpoint of cognitive function, using the user's index value of a related index related to cognitive function in the health element, based on the ratio of the number of papers that present a range to which the user's index value belongs to the total number of pre-selected papers that present a range of index values ​​of the related index recommended from the viewpoint of cognitive function. A program to function as a

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