JP7452898B2 - Information processing device and program - Google Patents

Description

The present invention relates to an information processing device and a program for estimating the health level of a subject.

There are various methods for estimating the health level (total health level) of a subject. Most conventional methods only partially estimate the level of health based on clinical test results, taking into account lifestyle habits such as diet and exercise, and subjective symptoms.

As defined by the World Health Organization (WHO), health should include not only physical aspects but also mental and social aspects. In addition, it is necessary to be able to measure the health level of healthy pre-symptomatic people, not just to determine whether they are sick or not. When defining "overall health", we take into account the comprehensive consideration of these three aspects of physical health, mental health, and social health, and the fact that the stages from health to illness can be measured steplessly. Currently, there is no established method for estimating the overall health level with high reliability.

In addition, in order to obtain subjective symptoms, it is common to collect answers to various questions from the test subject and analyze the results. It is thought that the lifestyle and living environment (life stage) make a major contribution. However, the current situation is that no effective method has been established for reliably estimating a person's health level in consideration of these personality tendencies and living environment.

The purpose is to improve the reliability of the method for estimating the overall health level of a subject.

The information processing device according to the present embodiment corrects a subjective index related to physical health based on the test subject's response to a questionnaire regarding physical health based on the test subject's personality tendency, and a first calculation processing unit that calculates a current level of physical health based on a subjective index regarding physical health and an objective index regarding physical health of the subject; and a response of the subject to a questionnaire regarding mental health. The subjective numerical value regarding mental health based on the above is corrected based on the personality tendency of the subject, and based on the corrected subjective numerical value regarding mental health and the objective numerical value regarding the mental health of the subject. a second calculation processing unit that calculates the current level of mental health based on the subject's personality tendency, and a second calculation processing unit that calculates the subject's current level of mental health; a third calculation processing unit that calculates the current social health level based on the corrected subjective numerical value regarding social health and the objective numerical value regarding social health of the subject; and the current physical health level. and a comprehensive health level calculation processing unit that calculates the current comprehensive health level of the subject based on the social health level, the current mental health level, and the current social health level.

FIG. 1 is an overall configuration diagram of a system including a server device according to this embodiment. FIG. 2 is a configuration diagram of the server device of FIG. 1. FIG. 3 is a diagram showing a health degree calculation processing procedure according to this embodiment. FIG. 4 is a diagram showing a calculation processing procedure for the "current physical health level" in FIG. 3. FIG. 5 is a diagram showing an example of objective data used in steps S1, S2, and S3 of FIG. 3. FIG. 6 is a diagram showing an example of a summary table of the answers to the questionnaire regarding physical health compiled in steps S13 and S15 of FIG. 4. FIG. 7 is a diagram showing an example of a questionnaire screen regarding subjective symptoms related to physical health, displayed on the information terminal of FIG. 1. FIG. 8 is a diagram showing an example of a questionnaire screen regarding personality related to physical health, displayed on the information terminal of FIG. 1. FIG. 9 is a diagram showing an example of various conversion tables used for quantification in each step of FIG. 4. FIG. 10 is a diagram showing a calculation processing procedure for the "current level of mental health" in FIG. 3. FIG. 11 is a diagram showing an example of a summary table of the answers to the questionnaire regarding mental health compiled in steps S22, S24, and S26 of FIG. 10. FIG. 12 is a diagram showing an example of a questionnaire screen regarding subjective symptoms related to mental health, displayed on the information terminal of FIG. 1. FIG. 13 is a diagram showing an example of a questionnaire screen regarding personality related to mental health, displayed on the information terminal of FIG. 1. FIG. 14 is a diagram showing an example of a questionnaire screen regarding the living environment related to mental health, which is displayed on the information terminal of FIG. FIG. 15 is a diagram showing an example of various conversion tables used for quantification in each step of FIG. 10. FIG. 16 is a diagram showing a calculation processing procedure for the "current social health level" in FIG. 3. FIG. 17 is a diagram showing an example of a summary table of the answers to the questionnaire regarding social health compiled in steps S32, S34, and S36 of FIG. 16. FIG. 18 is a diagram showing an example of a questionnaire screen regarding subjective symptoms related to social health, displayed on the information terminal of FIG. 1. FIG. 19 is a diagram showing an example of a questionnaire screen regarding personality related to social health, displayed on the information terminal of FIG. 1. FIG. 20 is a diagram showing an example of a questionnaire screen regarding the living environment related to social health, displayed on the information terminal of FIG. FIG. 21 is a diagram showing an example of various conversion calculation tables used for quantification in each step of FIG. 16. FIG. 22 is a diagram showing a calculation processing procedure for the "ideal comprehensive health level for presentation" in FIG. 3. FIG. 23 is a diagram showing an example of a summary table of satisfaction with physical health, mental health, social health, and overall health used in step S5 of FIG. 3. FIG. 24 is a diagram showing an example of a questionnaire screen displayed on the information terminal shown in FIG. 1 regarding satisfaction with the current physical health level, current mental health level, current social and physical health level, and current overall health level. be. FIG. 25 is a diagram showing an example of a summary table of a questionnaire regarding cognitive characteristic trends for determining weighting coefficients used in the calculation process of "ideal overall health level for presentation" in step S5 of FIG. 3. FIG. 26 is a diagram showing an example of a questionnaire screen regarding cognitive characteristic trends displayed on the information terminal of FIG. 1. FIG. 27 is a diagram showing an example of various conversion tables used for determining weighting coefficients related to cognitive characteristic trends from the questionnaire response results shown in FIG. 26. FIG. 28 is a diagram showing the calculation results of the current comprehensive health level and the ideal comprehensive health level in step S5 of FIG. 3. FIG. 29 is a diagram showing a display example of the current comprehensive health level and the ideal comprehensive health level calculated in step S5 of FIG. 3.

Hereinafter, a server device according to an embodiment of the present invention will be described with reference to the drawings.
As shown in FIG. 1, a server device 10 (hereinafter referred to as the health degree estimation server device 10) that estimates the health level of the examinee is connected to a portable information terminal 20 (hereinafter referred to as , simply referred to as information terminals 20) are connected to each other via a network line 90 such as the Internet so as to be able to send and receive data.

Various questionnaire data are provided from the health level estimation server device 10 to the information terminal 20. As a result, various questionnaire screens are displayed on the information terminal 20 for collecting subjective data of the subject necessary for estimating the health level.

The information terminal 20 provides the health level estimation server device 10 with response results to the questionnaire, objective data related to physical health, objective data related to mental health, and objective data related to social health. Thereby, the health level estimation server device 10 estimates the subject's current comprehensive health level and ideal comprehensive health level based on various data provided from the information terminal 20, and transfers the estimation results to the information terminal 20. Provided to.

A device, such as a weight scale 40, that collects objective data related to the physical health of the subject is connected to the information terminal 20. The subject's weight data measured by the scale 40 is transmitted to the health level estimation server device 10 via the information terminal 20. Note that heart rate data, blood pressure data, etc. may be used as objective data related to the physical health of the subject.

Furthermore, a device such as an emotional sensor 50 that collects objective data related to the mental health of the subject is connected to the information terminal 20. The emotion sensor 50 is, for example, a wristwatch type, and collects the sweat amount and heart rate of the subject. The sweat amount data and heart rate data of the subject collected by the emotion sensor 50 are transmitted to the emotion estimation server device 80 via the information terminal 20. The emotion estimation server device 80 digitizes the mental health condition of the subject into an emotional value based on the received perspiration amount data and heart rate data of the subject, and returns data regarding the emotional value to the information terminal 20. do. The information terminal 20 transmits data regarding the emotion value estimated by the emotion estimation server device 80 to the health level estimation server device 10.

Note that, as long as the degree of the subject's mental health can be quantified, the data of the subject used for quantification is not limited to the above. For example, the voice state of the test subject may be quantified into emotional values based on the test subject's voice data collected by a microphone installed in the information terminal 20. The facial expression of the subject may be digitized into emotional values based on facial image data of the subject collected by a camera. Of course, the emotional value of the subject can also be estimated by arbitrarily combining these methods.

As shown in FIG. 2, the health level estimation server device 10 includes a processor 11. As shown in FIG. Each device is connected to the processor 11 via a data/control bus 19 . The processor 11 includes, for example, a CPU (Central Processing Unit) and a GPU (Graphics Processing Unit), and executes various programs stored in the memory 13 to realize various processing functions. The memory 13 functions as the main memory, work area, etc. of the processor 11. The processor 11 loads programs and the like necessary for execution of processing from a storage device 17 including an HDD, SSID, ROM, etc. into the memory 13, and executes the loaded programs to realize various functions. The storage device 17 stores the following data in addition to the BIOS (Basic Input Output System) and operating system programs executed by the processor 11.

The storage device 17 stores data of an ideal comprehensive health estimation program. The storage device 17 also stores various conversion table data used in the process of estimating the ideal overall health level. The storage device 17 also stores subjective data of the examinee regarding physical health, mental health, and social health, personality tendency data, and living environment (life stage) from which the current comprehensive health level is estimated. Questionnaire data for collecting data and test subject response data to the questionnaire are stored. Additionally, questionnaire data regarding satisfaction with each current health level and test subject's response data to the questionnaire are stored. Furthermore, the intuitive level and logical level of the examinee are used in the calculation process to estimate the ideal overall health level for presentation from the ideal physical health level, ideal mental health level, and ideal social health level. Questionnaire data related to (cognitive characteristic trends) and test subject's response data to the questionnaire are stored. Furthermore, the storage device 17 stores objective data of the subject related to physical health, mental health, and social health, from which the current comprehensive health level is estimated.

Communication device 15 controls communication with external information terminal 20 via network line 90 . For example, the communication device 15 transmits various questionnaire data stored in the storage device 17 to the information terminal 20, and receives response data to the questionnaire from the information terminal 20.

FIG. 3 shows a general procedure for estimating the ideal comprehensive health level. In the general procedure, first, the current physical health level, current mental health level, and current social health level are calculated based on various data provided by the subject. Next, a current overall health level is calculated based on the calculated current physical health level, current mental health level, and current social health level. Finally, an ideal overall health level is calculated based on the calculated current overall health level.
Specifically, current physical health is composed of objective physical health (objective index regarding physical health), subjective physical health (response index regarding physical health), and physical health. It is calculated based on the personality index related to health (personality tendency index related to physical health) (S1).

Current level of mental health consists of objective mental health level (objective index related to mental health), subjective level of mental health (answer index related to mental health), and personality index related to mental health. (personality tendency index related to mental health) and an environmental index related to mental health (living environment index related to mental health) (S2).

Current social health is composed of objective social health (objective index related to social health), subjective social health (answer index related to social health), and personality index related to social health. (personality tendency index related to social health) and an environmental index related to social health (living environment index related to social health) (S3).

The current comprehensive health level is calculated based on the current physical health level, current mental health level, and current social health level (S4).

The ideal overall health level (third ideal overall health level) to be presented to the examinee is based on the examinee's current overall health level, the examinee's satisfaction with the current overall health level, and the examinee's current overall health level. The subject's current physical health level and the subject's satisfaction with the current physical health level, the subject's current mental health level, the subject's satisfaction level with the current mental health level, and the subject's current level of mental health. Calculated based on the examiner's current social health level, the examinee's satisfaction with the current social health level, and a weighting coefficient (weight) according to the examinee's cognitive characteristic tendency (S5) .

The following are "processing for estimating current physical health", "processing for estimating current mental health", "estimating current social health", and "estimating ideal overall health for presentation". ” details will be explained separately.

The "current physical health level" estimation process shown in FIG. 3 will be described below with reference to FIGS. 4 to 9.

First, various data necessary for estimating the current level of physical health and a questionnaire screen for collecting various data will be described with reference to FIGS. 5 to 8.
As shown in FIG. 5, the health level estimation server device 10 stores data regarding the sex, age, height, and weight of the subject as objective data necessary for estimating the objective physical health level. It is stored in association with the examiner ID.

As shown in FIG. 6, the health level estimation server device 10 also stores response data to a questionnaire about subjective symptoms related to physical health as subjective data necessary for estimating subjective physical health level. is stored in association with the subject ID. The response data is input by the subject via a questionnaire screen regarding subjective symptoms related to physical health displayed on the information terminal 20. As shown in FIG. 7, the questionnaire regarding subjective symptoms related to physical health includes questionnaire items such as actual physical symptoms, such as "gastrointestinal complaints." The subject enters the response values for the questionnaire items into the response column according to the response method described in the legend. For example, in response to the questionnaire item "Gastrointestinal complaints," a subject should enter a "5" in the response column if he or she is "severely troubled," and a "1" if he or she is "not bothered at all." input.

Furthermore, as shown in FIG. 6, the health level estimation server device 10 stores information on personality related to physical health as personality tendency data necessary for estimating the personality index of the subject related to physical health. Response data to the questionnaire is stored in association with the subject ID. Personality tendency data is input by the subject via a questionnaire screen regarding personality related to physical health displayed on the information terminal 20. Personality related to physical health can be divided into ``neurotic'' and ``detailed.'' As shown in FIG. 8, the questionnaire regarding personality related to physical health includes a plurality of questionnaire items regarding the personality "Nervousness" and a plurality of questionnaire items regarding the personality "Detailedness". Questionnaire items regarding the personality ``nervousness'' include items such as ``I think I'm anxious and easily upset.'' The plurality of questionnaire items related to the personality "degree of detail" include questionnaire items such as "I am particular about details." The subject enters the answer value for the questionnaire item into the answer column according to the response method described in the legend provided for each questionnaire item.

Next, the procedure for estimating the current physical health level will be explained with reference to FIGS. 4 and 9. The current physical health level is calculated based on the objective physical health level, the subjective physical health level, and the personality index as a correction coefficient for correcting the subjective physical health level.

As shown in FIG. 4, first, an objective physical health level is calculated. Objective physical health is calculated based on objective data regarding physical health. Specifically, BMI (Body Mass Index) is calculated based on the height and weight of the subject (S11). BMI is a body mass index that indicates the degree of obesity of a subject. The calculated BMI is converted (quantified) into an objective physical health level using the conversion table shown in FIG. 9(b) (S12). Typically, a storage device stores a plurality of conversion tables for each gender and each age. The conversion table used in the conversion process in step S12 is selected from a plurality of conversion tables based on the sex and age of the subject.

Next, subjective physical health is calculated. Subjective physical health is calculated based on response data. Specifically, response data to a questionnaire regarding subjective symptoms related to physical health is aggregated (S13). In this aggregation process, numerical values are assigned to answer data according to predetermined rules. For example, the answer data "5" is assigned the numerical value "5", and the answer data "1" is assigned the numerical value "1". The assigned numerical values are totaled, and the total value is converted (quantified) into a percentile value representing the subjective level of physical health using the percentile shown in FIG. 9(c) (S14).

Next, a personality index is calculated. Personality index is calculated based on personality tendency data related to physical health. Specifically, response data to a questionnaire regarding personality related to physical health is aggregated as personality tendency data related to physical health (S15). Similar to subjective physical health, this aggregation process assigns numerical values to response data according to predetermined rules. The assigned numerical values are totaled, and the total value is converted into a personality index (S16). More specifically, the response data to the questionnaire related to personality "nervousness" is aggregated, and the aggregated value is converted into a percentile value representing a nervousness index using the percentile shown in FIG. 9(d). Similarly, response data to the questionnaire related to personality "detailedness" is aggregated, and the aggregated value is converted into a percentile value representing a detailedness index using the percentile shown in FIG. 9(e). Then, the total value obtained by adding up the percentile value representing the nervousness index and the percentile value representing the detail index is converted into a personality index using the conversion table shown in FIG. 9(f).

Finally, the current physical health level is calculated. For example, the formula for calculating the current physical health level can be expressed by formula (1).
Current physical health = {(objective physical health)
+ (Subjective physical health) x (Personality index) ÷ 2... (1)
That is, the subjective physical health obtained in step S14 is corrected by the personality index obtained in step S16, and the corrected subjective physical health and the objective physical health obtained in step S12 are The current physical health level can be estimated by adding up the health level and taking the average. The estimated current physical health level is quantified into a percentile value using the percentiles shown in FIG. 9(a) (S17).

One feature of the current physical health level estimation process is that objective physical health level and subjective physical health level are used in the current physical health level estimation process. Objective physical health is calculated based on objective data measured by measuring instruments such as weight scales and height meters. The subjective physical health level is calculated based on the test subject's response data to a questionnaire regarding subjective symptoms related to physical health. For example, in actual daily life, there are cases where a person is not feeling well as a subjective symptom although it does not appear as a numerical value on a measuring device, or it is natural to feel unwell even though the physical condition does not appear as a subjective symptom but as a numerical value on a measuring device. When estimating the level of physical health based only on subjective symptoms or numerical values on a measuring device, one of the above two cases will be presumed to be healthy. As in this embodiment, by using equation (1), it is possible to estimate the physical health level taking into account subjective symptoms and the numerical value of the measuring device. In other words, the reliability of the current physical health calculated using formula (1) is higher than the reliability of the current physical health calculated from only the objective physical health or only the subjective physical health. It's expensive.

Another feature of the current physical health level estimation process is that the subjective physical health level is corrected using the subject's personality index. The objective physical health level based on objective data does not change depending on the personality tendency of the examinee, but the subjective physical health level based on the results of the questionnaire does not change depending on the examinee's personality tendency. It changes depending on the trend. This is because the personality tendencies of the examinee affect the answers to the questionnaire regarding physical health. For example, if the test subject has a nervous personality, he or she may judge the symptoms harshly and give an answer, whereas if the test subject is not neurotic, the test subject may make a lenient judgment regarding the symptoms. may be answered. However, by correcting the subjective physical health level using the subject's personality index, it is possible to eliminate or reduce the subject's personality tendencies that influence the answers to the questionnaire. In other words, the reliability of the current physical health level calculated using equation (1) is higher than when correction using the subject's personality index is not performed.

In addition, in the current process of estimating physical health, we not only rely on objective data on the examinee, but also on actual responses from the examinee to various types of questionnaires, such as the examinee's subjective symptoms and personality. Since response data is taken into consideration, the subject is highly satisfied with the current level of physical health estimated using equation (1). In other words, the current physical health level estimation process is highly reliable from the viewpoint of the subject's level of satisfaction.

The "current mental health level" estimation process shown in FIG. 3 will be described below with reference to FIGS. 5 and 10 to 15.

First, various data necessary for estimating the current level of mental health and a questionnaire screen for collecting various data will be described with reference to FIGS. 5 and 11 to 14.
As shown in FIG. 5, the health level estimation server device 10 has data related to the emotional value of the test subject associated with the test subject ID as objective data necessary for estimating the objective mental health level. is memorized.

In addition, as shown in FIG. 11, the health level estimation server device 10 stores response data to questionnaires related to mental health as subjective data necessary for estimating subjective mental health level. It is stored in association with the ID. The response data is input by the subject via a questionnaire screen related to mental health displayed on the information terminal 20. As shown in FIG. 12, the questionnaire related to mental health includes questionnaire items such as "I don't get much rest." The subject enters the response values for the questionnaire items into the response column according to the response method described in the legend. For example, in response to the questionnaire item ``I don't get much rest,'' a subject would enter ``5'' in the response column if they were ``severely bothered,'' and if they were ``not bothered at all.'' Enter "1".

In addition, as shown in FIG. 11, the health level estimation server device 10 includes information on personality related to mental health as personality tendency data necessary for estimating the personality index of the subject related to mental health. Response data to the questionnaire is stored in association with the subject ID. Personality tendency data is input by the subject via a questionnaire screen regarding personality related to mental health displayed on the information terminal 20. Personality related to mental health can be divided into ``emotion sensing'' and ``self-efficacy.'' As shown in FIG. 13, the questionnaire includes a plurality of questionnaire items regarding the personality "emotion sensing" and a plurality of questionnaire items regarding the personality "self-efficacy." Several survey items related to the personality trait ``emotion sensing'' include items such as ``Even when I'm emotional, I know how I feel.'' Multiple questionnaire items related to personality ``self-efficacy'' include items such as ``I am aware of my own abilities and can clearly say yes and no.'' The subject enters the response values for the questionnaire items into the response column according to the response method described in the legend.

Furthermore, as shown in FIG. 11, the health level estimation server device 10 stores information about the living environment related to mental health as living environment data necessary for estimating the living environment index of the subject related to mental health. Response data to the questionnaire is stored in association with the subject ID. The living environment data is input by the subject via a questionnaire screen regarding the living environment related to mental health displayed on the information terminal 20. As shown in FIG. 14, the plurality of questionnaire items regarding the living environment related to mental health includes, for example, "What is the situation regarding your source of income?" For example, in response to the questionnaire item "What is your situation regarding your source of income?", score "3" if you have "no income," "2" if you have "unstable income," and "2" if you have "stable income." The configuration is such that "1" is entered in the answer column.

Next, the procedure for estimating the current level of mental health will be explained with reference to FIGS. 10 and 15. The current level of mental health is determined by the objective mental health level, the subjective mental health level, the personality index as a correction coefficient for correcting the subjective mental health level, and the current level of mental health. It is calculated based on the living environment index as a correction coefficient for correction.

As shown in FIG. 10, first, an objective mental health level is calculated. Objective mental health is calculated based on objective data regarding mental health. Specifically, the emotional value of the subject is converted into a percentile value representing an objective level of mental health using the percentile shown in FIG. 15(b) (S21).

Next, subjective mental health is calculated. Subjective mental health is calculated based on response data. Specifically, response data to a questionnaire related to mental health is aggregated (S22). In this aggregation process, numerical values are assigned to response data according to predetermined rules. For example, the answer data "5" is assigned the numerical value "5", and the answer data "1" is assigned the numerical value "1". The assigned numerical values are totaled, and the total value is converted into a percentile value representing the subjective level of mental health using the percentile shown in FIG. 15(c) (S23).

Next, a personality index is calculated. Personality indices are calculated based on personality trend data regarding the subject's mental health. Specifically, response data to a questionnaire regarding personality related to mental health is aggregated (S24). Similar to subjective mental health, this aggregation process assigns numerical values to response data according to predefined rules. The assigned numerical values are totaled, and the total value is converted into a personality index (S25). More specifically, the response data to the questionnaire related to the personality "emotion sensing" is compiled, and the total value is converted into a percentile value representing the emotion sensing index using the percentile shown in FIG. 15(d). Similarly, response data to a questionnaire related to personality "self-efficacy" is aggregated, and the aggregate value is converted into a percentile value representing a self-efficacy index using the percentile shown in FIG. 15(e). Then, the total value obtained by adding up the percentile value representing the emotion sensing index and the percentile value representing the self-efficacy index is converted into a personality index using the conversion table shown in FIG. 15(f).

Next, a living environment index is calculated. The mental health-related living environment index is calculated based on the subject's mental health-related living environment data. Specifically, response data to a questionnaire regarding the living environment related to mental health is aggregated (S26). Similar to subjective mental health, this aggregation process assigns numerical values to response data according to predefined rules. The assigned numerical values are totaled, and the total value is converted into a percentile value representing a living environment index related to mental health using the percentile shown in FIG. 15(g) (S27).

Finally, your current mental health level is calculated. Current mental health is determined by objective mental health, subjective mental health, the examinee's personality index regarding mental health, and the examinee's living environment index regarding mental health. Calculated based on

For example, the formula for calculating the current level of mental health can be expressed by formula (2).
Current level of mental health = {(objective level of mental health)
+ (Subjective level of mental health) × (Personality index related to mental health)}÷2
× (Living environment index related to mental health)・・・・・・・・・(2)
That is, the subjective mental health level obtained in step S23 is corrected by the personality index related to mental health obtained in step S25, and the corrected subjective mental health level and the objective obtained in step S21 are The current level of mental health can be estimated by adding it up with the current level of mental health and taking the average. Furthermore, the current level of mental health is corrected by the living environment index related to mental health obtained in step S27. The corrected current physical health level is quantified into a percentile value using the percentile shown in FIG. 15(a) (S27).

The process of estimating the current level of mental health has the same characteristics as the process of estimating the current level of physical health. That is, one feature of the current mental health level estimation process is that objective mental health level and subjective mental health level are used in the current mental health level estimation process. For example, in actual daily life, there may be cases where you are actually mentally tired, although it does not appear as a numerical value on a measuring device, or when you feel that you are in a state of tension and are not mentally tired, but the sensor device The measured values may indicate mental fatigue. Even in such cases, by using equation (2), it is possible to estimate the mental health level by taking into account the test subject's senses and the measured values of the sensor device, and Or, it is more reliable than the current level of mental health calculated only from the measured values of the sensor device.

Another feature of the current mental health level estimation process is that the subjective mental health level is corrected using the subject's personality index. For example, if a test subject does not have a good grasp of his or her own emotions, there is a possibility that the test subject is not responding based on an appropriate judgment of his or her actual level of mental health. In this way, the personality tendencies of the examinee affect the answers to the questionnaire regarding mental health, so the subjective level of mental health based on the results of the questionnaire may vary depending on the personality tendency of the examinee. Put it away. However, by using equation (2), the subjective mental health level can be corrected by the personality index of the examinee, and the personality tendency of the examinee that influences the questionnaire responses can be removed or can be reduced. In other words, the reliability of the current level of mental health calculated using equation (2) is higher than when correction using the subject's personality index is not performed.

Another feature of the current mental health level estimation process is that the calculated current mental health level is corrected by the subject's living environment index. This feature is not present in current physical health level estimation processes. For example, assume that there are two subjects with the same current level of mental health before correction. Subject A, on the other hand, has an unstable source of income, but is single and does not need the care of his parents. The other subject, B, has an unstable source of income, has two children, and needs to take care of his parents. In such a case, subject B has a greater responsibility for children and parents than subject A, and has a greater mental burden than subject A. Therefore, even if the current level of mental health before correction is the same, Subject B must have a greater mental burden than Subject A, so Subject B's current mental health The degree should be corrected so that it is lower than the current level of mental health of Subject A. The living environment (life stage) of the subject can also be taken into account by correcting the calculated current mental health level with the living environment index of the subject, as in equation (2). In other words, the reliability of the current level of mental health calculated using equation (2) is higher than when the subject's living environment index is not used.

In addition, similar to the process of estimating the current physical health level described above, the process of estimating the current level of mental health uses not only the subject's objective data, but also the subject's current situation, personality, lifestyle, etc. Since we take into account the response data that subjects actually answered to various types of questionnaires, such as those related to the environment, it is possible to estimate whether the subjects are satisfied with their current level of mental health as estimated using equation (2). The degree is high. In other words, the current mental health level estimation process can be said to be highly reliable from the viewpoint of the subject's level of satisfaction.

The "current social health level" estimation process shown in FIG. 3 will be described below with reference to FIGS. 16 to 21.

First, various data necessary for estimating the current social health level and a questionnaire screen for collecting various data will be described with reference to FIGS. 5 and 17 to 20.
As shown in FIG. 5, the health level estimation server device 10 includes data regarding the number of SNS (Social Networking Service) responses of the subject as objective data necessary for estimating objective social health level. It is stored in association with the subject ID. For example, the SNS response count data is calculated according to the SNS posting frequency and the response writing frequency. It may also be the number of times the subject responds to posts by third parties. As the subject's objective data related to social health, the number of times the subject sends e-mails, the amount of time the subject uses chat, the number of friends on the Internet, etc. may be used.

In addition, as shown in FIG. 17, the health level estimation server device 10 stores response data to questionnaires related to social health as subjective data necessary for estimating subjective social health level. It is stored in association with the ID. The response data is input by the subject via a questionnaire screen related to social health displayed on the information terminal 20. As shown in FIG. 18, the questionnaire related to social health includes questionnaire items such as "I have no one to talk to." The subject enters the response values for the questionnaire items into the response column according to the response method described in the legend. For example, in response to the questionnaire item ``I don't have anyone to talk to,'' if the examinee is ``seriously troubled,'' the examinee enters ``5'' in the response column, and if ``the question is met and there is no problem,'' the examinee enters ``5.'' Enter "1".

In addition, as shown in FIG. 17, the health level estimation server device 10 includes information on personality related to social health as personality tendency data necessary for estimating the personality index of the subject related to social health. Response data to the questionnaire is stored in association with the subject ID. Personality tendency data related to social health is input by the subject via a questionnaire screen regarding personality related to social health displayed on the information terminal 20. As shown in Figure 19, personalities related to social health are divided into "socializing" and "group guidance". The questionnaire regarding personality related to social health includes a plurality of questionnaire items regarding the personality "socializing" and a plurality of questionnaire items regarding the personality "group guidance". The questionnaire regarding personality ``socializing'' includes items such as ``I can get along with people I don't like.'' Questionnaires related to personality traits such as ``group leadership'' include items such as ``able to lead others.'' The subject enters the response values for the questionnaire items into the response column according to the response method described in the legend.

Furthermore, as shown in FIG. 17, the health level estimation server device 10 stores information about the living environment related to social health as living environment data necessary for estimating the living environment index of the subject related to social health. Response data to the questionnaire is stored in association with the subject ID. The living environment data is input by the subject via a questionnaire screen regarding the living environment related to social health displayed on the information terminal 20. As shown in FIG. 20, the questionnaire regarding the living environment related to social health includes questionnaire items such as "Are you married?" For example, in response to the questionnaire item "Are you married?", the subject enters "3" if "married" and "1" if "single" in the answer column.

Next, the procedure for estimating the current social health level will be explained with reference to FIGS. 16 and 21. The current social health level is determined by the objective social health level, the subjective social health level, the personality index as a correction coefficient for correcting the subjective social health level, and the current social health level. It is calculated based on the living environment index as a correction coefficient for correction.

As shown in FIG. 16, first, an objective social health level is calculated. Objective social health is calculated based on objective data regarding social health. Specifically, the number of responses on the subject's SNS is converted into a percentile value representing an objective level of social health using the percentile shown in FIG. 21(b) (S31).

Next, subjective social health is calculated. Subjective social health is calculated based on response data to a social health questionnaire. Specifically, response data to a questionnaire related to social health is aggregated (S32). In this aggregation process, numerical values are assigned to response data according to predetermined rules. For example, the answer data "5" is assigned the numerical value "5", and the answer data "1" is assigned the numerical value "1". The assigned numerical values are totaled, and the total value is converted into a percentile value representing the subjective social health level using the percentile shown in FIG. 21(c) (S33).

Next, a personality index is calculated. Personality indices are calculated based on personality trend data regarding the subject's social health. Specifically, response data to a questionnaire regarding personality related to social health is aggregated (S34). Similar to subjective social health, this aggregation process assigns numerical values to response data according to predefined rules. The assigned numerical values are totaled, and the total value is converted into a personality index (S35). More specifically, the response data to the questionnaire related to personality "social interaction" is aggregated, and the aggregate value is converted into a percentile value representing the social interaction index using the percentile shown in FIG. 21(d). Similarly, response data to the questionnaire related to the personality "Group Leadership" is aggregated, and the aggregate value is converted into a percentile value representing the Group Leadership Index using the percentile shown in FIG. 21(e). Then, the percentile value representing the social interaction index and the percentile value representing the group leadership index are added up, and the total value is converted into a personality index using the conversion table shown in FIG. 21(f).

Next, a living environment index is calculated. The living environment index related to social health is calculated based on the living environment data related to social health of the subject. Specifically, response data to a questionnaire regarding the living environment related to social health is aggregated (S36). Similar to subjective social health, this aggregation process assigns numerical values to response data according to predefined rules. The assigned numerical values are totaled, and the total value is converted into a percentile value representing a living environment index related to social health using the percentile shown in FIG. 21(g) (S37).

Finally, the current social health level is calculated. Current social health is determined by objective social health, subjective social health, the examinee's personality index regarding social health, and the examinee's living environment index regarding social health. Calculated based on

For example, the current social health level calculation formula can be expressed as equation (3).
Current social health level = {(objective social health level)
+ (Subjective social health level) × (Personality index related to social health)}÷2
× (Living environment index related to social health)・・・・・・・・・(3)
That is, the subjective social health level obtained in step S33 is corrected by the social health-related personality index obtained in step S35, and the corrected subjective social health level and the objective obtained in step S31 are The current level of social health can be estimated by adding it up with the current level of social health and taking the average. Furthermore, the current social health level is corrected by the living environment index related to social health obtained in step S37. The corrected current physical health level is quantified into a percentile value using the percentiles shown in FIG. 21(a) (S27).

The current social health level estimation process has the same characteristics as the current mental health level estimation process. That is, one feature of the current social health level estimation process is that objective social health level and subjective social health level are used in the current social health level estimation process. For example, in your daily life, you may not use SNS much but are actually actively involved in various social communities, or you may use SNS frequently but in reality, They may not participate in various social communities at all. Even in such a case, by using equation (3), it is possible to estimate the social health level by taking into account virtual social activities on the Internet and actual social activities, A more reliable current level of social health can be obtained than when evaluating only virtual social activities or only actual social activities.

Another feature of the current social health level estimation process is that the subjective social health level is corrected using the subject's personality index. For example, if the test subject is originally not good at interpersonal relationships or is not good at taking leadership, there is a possibility that the test subject will respond passively to the questionnaire. In this way, because the personality tendencies of the examinee affect the answers to the questionnaire regarding social health, the subjective social health level based on the results of the questionnaire changes depending on the personality tendency of the examinee. Put it away. However, by using equation (3), the subjective social health level can be corrected by the personality index of the examinee, and the personality tendencies of the examinee that influence the answers to the questionnaire can be removed or can be reduced. In other words, the reliability of the current social health level calculated using equation (3) is higher than when correction using the subject's personality index is not performed.

Another feature of the current social health level estimation process is that the calculated current social health level is corrected by the subject's living environment index. This feature is not present in current physical health level estimation processes. For example, assume that there are two subjects with the same current social health level before correction. Subject A, on the other hand, is married and has a clear role in the social community. The other subject, B, is single and has no role in the social community. In such a case, subject A's need for social belonging is more satisfied than subject B's. Therefore, even if the current social health level before correction is the same, Subject A's current social health level is higher and healthier than Subject B's current social health level. If there is, it should be corrected. By correcting the calculated current social health level with the living environment index of the subject, as in equation (3), the living environment of the subject can also be taken into consideration. In other words, the reliability of the current social health level calculated using equation (3) is higher than when the living environment index of the subject is not used.

In addition, similar to the process of estimating the current physical health level and mental health level described above, the process of estimating the current social health level uses not only the objective data of the test subject but also the current state of the test subject. Since it takes into account the response data actually answered by the subjects to various types of questionnaires such as situation, personality, living environment, etc., the current social health level estimated using equation (3) is Subjects' satisfaction level was high. In other words, it can be said that the current social health level estimation process is highly reliable from the viewpoint of the subject's level of satisfaction.

Hereinafter, the process of estimating the "ideal overall health level for presentation" shown in FIG. 3 will be described with reference to FIGS. 22 to 29.

First, various data necessary for estimating the ideal overall health level for presentation and a questionnaire screen for collecting various data will be described with reference to FIGS. 23 to 27.
As shown in FIG. 23, the health estimation server device 10 stores information such as satisfaction with the current physical health, satisfaction with the current mental health, satisfaction with the current social health, and current overall health. Data regarding satisfaction with health level is stored in association with the subject ID. Data regarding satisfaction with each health level is input by the subject via a questionnaire screen regarding satisfaction displayed on the information terminal 20. As shown in FIG. 24, on the satisfaction questionnaire screen, a plurality of questionnaire items are displayed for asking the subject to respond with a numerical value between 0 and 100 regarding the degree of satisfaction with each health level. The subject enters the degree of satisfaction with each health level in the answer column.

As shown in FIG. 25, the health level estimation server device 10 also stores cognitive characteristic tendency data of the subject as necessary for estimating weights (weighting coefficients) according to the subject's cognitive characteristic tendency. Response data to a questionnaire regarding cognitive characteristics is stored in association with the subject ID. The subject's cognitive characteristic tendency data is input by the subject via a questionnaire screen regarding cognitive characteristic trends displayed on the information terminal 20. Cognitive characteristic tendencies are divided into "intuition" and "logical". As shown in FIG. 26, the questionnaire regarding cognitive characteristic trends includes a plurality of questionnaire items regarding "intuition level" and a plurality of questionnaire items regarding "logic level." For example, the plurality of questionnaire items regarding "level of intuition" include questionnaire items such as "I place importance on intuition when making decisions." The multiple questionnaire items related to ``logical level'' include items such as ``Most decisions are made based on rigorous analysis.'' The subject selects an object corresponding to the response value to the questionnaire item. When the subject clicks the "Next" button, the next questionnaire item is displayed.

Next, the procedure for estimating the ideal comprehensive health level for presentation will be described with reference to FIGS. 22 and 27. The ideal overall health for presentation is based on current physical health and satisfaction with current physical health, current mental health and satisfaction with current mental health, and current social health. It is calculated based on the satisfaction level with the health level and the current social health level, and the current overall health level and the satisfaction level with the current overall health level. The overall health level is given by three-dimensional coordinates with each axis representing the physical health level, mental health level, and social health level. For example, if the current physical health level is "68", the current mental health level is "72", and the current social health level is "52", the current overall health level is "(68, 72," 52).
Therefore, the current overall health level is calculated based on the current physical health level, current mental health level, and current social health level calculated using formulas (1) to (3) described above. Ru.

As shown in FIG. 22, first, an ideal first overall health level is calculated. The ideal first overall health level is calculated by multiplying the current overall health level by the reciprocal of an index corresponding to the degree of satisfaction with the current overall health level (S51). For example, if the current overall health level is ``(68, 72, 52)'' and the satisfaction level with respect to the current overall health level is ``80 points,'' then the reciprocal of the index ``80/100'' corresponding to the satisfaction level ``80 points.'' By multiplying the current comprehensive health level "(68, 72, 52)" by "100/80", the ideal first comprehensive health level "(85, 80, 65)" can be calculated.

Next, an ideal second comprehensive health level is calculated (S52 to S55). The ideal second overall health level is calculated based on the ideal physical health level, ideal mental health level, and ideal social health level. The ideal physical health level is calculated by multiplying the current physical health level by the reciprocal of an index corresponding to the degree of satisfaction with the current physical health level (S52). The ideal level of mental health is calculated by multiplying the current level of mental health by the reciprocal of an index corresponding to the degree of satisfaction with the current level of mental health (S53). The ideal social health level is calculated by multiplying the current social health level by the reciprocal of an index corresponding to the degree of satisfaction with the current social health level (S54). The calculation process for each ideal health level in steps S52 to S54 is similar to the calculation process explained in step S51.

The ideal second overall health level is obtained by replacing the ideal physical health level, ideal mental health level, and ideal social health level obtained in steps S52 to S54 with three-dimensional coordinates (S55 ). For example, when the ideal physical health level obtained in steps S52 to S54 is "70", the ideal mental health level is "85", and the ideal social health level is "43", the ideal overall The health level is given by "(70, 85, 43)".

Next, weights are calculated according to the subject's cognitive characteristic tendencies (S56). The weight according to the cognitive characteristic tendency of the subject is calculated based on the cognitive characteristic tendency data. Specifically, response data to a questionnaire regarding the subject's cognitive characteristics is aggregated. In this aggregation process, numerical values are assigned to response data according to predetermined rules. The assigned numerical values are totaled, and the total value is converted into a weight according to the cognitive characteristic tendency. More specifically, response data to a questionnaire related to the cognitive characteristic tendency "intuition" is aggregated, and the aggregate value is converted into a percentile value representing an intuition index using the percentile shown in FIG. 27(a). Similarly, the response data to the questionnaire related to the cognitive characteristic tendency "logic level" is aggregated, and the aggregate value is converted into a percentile value representing the logic level index using the percentile shown in FIG. 27(b). Then, the ratio of the percentile value representing the logic index to the percentile value representing the intuition index is calculated, and the ratio is converted into a weight using the conversion table shown in FIG. 27(c).

Finally, an ideal overall health score is calculated for presentation. The ideal overall health level for presentation is calculated based on the ideal first overall health level, the ideal second overall health level, and the weight (S57).

For example, the calculation formula for the ideal overall health level for presentation can be expressed as equation (4).
Ideal overall health level for presentation = {(ideal first overall health level) x weight 1
+ (Ideal second overall health level) x weight 2} ÷ 2... (4)
That is, by weighting the ideal first overall health level obtained in step S51 and the ideal second overall health level obtained in steps S52 to S55 using the weights obtained in step S56, An ideal overall health level can be calculated for presentation.

As shown in FIG. 28, the data regarding the ideal overall health level for presentation calculated by the above calculation process and the data regarding the current overall health level obtained during the above calculation process are It is stored in the health level estimation server device 10 in association with the ID. The data related to the ideal comprehensive health level for presentation and the data related to the current comprehensive health level stored in the health level estimation server device 10 are transmitted from the health level estimation server device 10 to the information terminal 20 of the subject.

As shown in FIG. 29, the information terminal 20 displays the current overall health level and the ideal overall health level for presentation in three-dimensional coordinates with three axes of physical health, mental health, and social health. An image plotting the is displayed. Of course, the image data shown in FIG. 29 may be generated by the health level estimation server device 10 and transmitted from the health level estimation server device 10 to the information terminal 20 of the subject. As shown in FIG. 29, by displaying the current overall health level and the ideal overall health level on the information terminal 20, the subject can understand his/her current position and target position. Furthermore, by displaying the current overall health level and the ideal overall health level in a three-dimensional coordinate system, it is possible to visually grasp the current position and the target position at a glance.

One feature of the process of estimating the ideal overall health level for presentation is that it uses two types of indicators of overall health level, the first ideal overall health level and the second ideal overall health level. The point is to calculate the overall health level of the person. The ideal first overall health level is based on the current overall health level and satisfaction level therewith. Since the examinee answers how satisfied he/she is with health based on a broader framework, it can be said that the ideal first overall health level is relatively intuitive. On the other hand, the ideal second overall health level is based on each health level and the satisfaction level therefor. The test subject divides their health into smaller categories such as physical, mental, and social, and answers how satisfied they are with each health level, so the ideal second overall health level is This can be said to be logical. In this way, by integrating two types of ideal overall health levels with different cognitive characteristics trends and calculating the final ideal overall health level (ideal overall health level for presentation), the test subject's It is possible to estimate the ideal overall health level for presentation with high reliability by suppressing the influence of differences in cognitive characteristic trends between people.

Another feature of the process for estimating the ideal overall health level for presentation is that in order to calculate the final ideal overall health level for presentation, the ideal first overall health level and the ideal second overall health level are The point is to take a weighted average of the degrees. For example, if the subject's cognitive characteristic tendency is intuitive, increasing the ratio of the ideal first overall health level will result in a more reliable ideal overall health level for presentation. On the other hand, if the subject's cognitive characteristic tendency is logical, increasing the ratio of the ideal second overall health level will result in a more reliable ideal overall health level for presentation. Therefore, as in this embodiment, by identifying the subject's cognitive characteristic trends using a questionnaire and weighting the average using weights according to the cognitive characteristic trends, the ideal overall health level for presentation is reliable. can improve sex.

Another feature of the process for estimating the ideal overall health level for presentation is that the ideal of the subject is set according to the subject's satisfaction level. Even if you present the absolute ideal health level to the test subject, how healthy they want to be will differ depending on the test subject, and it is difficult to know what the absolute ideal health level is in the first place. This reduces the motivation to strive towards the ideal level of health. On the other hand, by calculating the ideal health level based on the subject's own satisfaction level, it is possible to present the ideal health level that is the goal at that time to the subject. Of course, the ideal level of health changes as you get older, as your hobbies and tastes change, as your surrounding environment changes, and as your living environment changes.The ideal level of health also changes depending on how you think about health at the time. . The fact that the target ideal overall health level for presentation fluctuates in response to various emotions and changes in the environment depends on the subject's level of satisfaction (reliability) with the process of estimating the ideal overall health level for presentation. ) to improve. If the test subject is satisfied with the results, the test subject can make efforts toward the ideal level of health that the test subject himself or herself considers.

According to the health level estimation server device 10 according to the present embodiment described above, by using equations (1) to (3), each current health level (current physical health, current mental health, current social health, and current overall health) can be quantified steplessly and provided to the subject. This allows the subject to recognize whether he or she is in a healthy state or in a state close to disease.

In order to improve the reliability of the current comprehensive health level, the health level estimation server device 10 according to the present embodiment comprehensively evaluates the total health level from three aspects of physical health, mental health, and social health. The objective data of the examinee and the subjective data of the examinee are used in the calculation process of each current health level, and the subjective data of the examinee is used in the calculation process of each current health level. In the process of calculating the current mental health level and current social health level, the current health level is finally corrected using the subject's living environment index. Calculating the overall health level of the person using two types of ideal first and second overall health levels, and calculating the two types of ideal first and second overall health levels based on the subject's cognitive characteristic tendency. It has several features, such as weighted averaging to calculate the ideal overall health level for presentation. The effects of these features have already been explained. Apart from these, the use of percentiles to quantify the aggregated values of response data to questionnaires is also an important feature for improving the reliability of health level estimation. Since the answer data is subjective data of the examinee, even if the total value of the answer data is quantified by absolute evaluation, the evaluation value will have low reliability. On the other hand, by quantifying the aggregated value of response data using relative evaluation such as percentile, it is possible to give objectivity to the evaluation value and ensure the reliability of subjective data such as survey response data. can do. Furthermore, by using percentiles with large parameters, the altitude of each test subject is quantified based on the current position within the large parameter, so it can be said that the degree of satisfaction is high for the test subjects as well.

As already explained, the health level estimation server device 10 according to the present embodiment includes a plurality of features for improving the reliability of health level estimation. However, some of the features can be omitted if a reliable health level can be obtained. For example, objective data regarding mental health and objective data regarding social health may be excluded from the health level estimation process. Moreover, in this embodiment, the ideal comprehensive health level for presentation is calculated based on the ideal first comprehensive health level and the ideal second comprehensive health level, and is provided to the information terminal 20 of the subject. However, instead of calculating the ideal overall health level for presentation, only the ideal first overall health level or only the ideal second overall health level is calculated and provided to the information terminal 20 of the subject. Good too.

Note that the configuration of the health level estimation server device 10 is not limited to this embodiment. For example, the health level estimation server device 10 according to the present embodiment has a communication function and receives various data from the information terminal 20 of the subject via a network line 90 such as the Internet. However, the health level estimation server device 10 can be applied to a single information processing device that does not have a communication function, receives input directly from a single subject, and executes the health level estimation process.

In the present embodiment, the health level estimation server device 10 calculates the current comprehensive health level and the ideal comprehensive health level based on various data regarding the subject, and applies these calculated data to the subject. information terminal 20. However, the current overall health level alone is important information for the subject. Therefore, the health level estimation server device 10 calculates the current comprehensive health level based on various data regarding the subject, and provides data regarding the calculated current comprehensive health level to the information terminal 20 of the subject. You may also do so.

Although several embodiments of the invention have been described, these embodiments are presented by way of example and are not intended to limit the scope of the invention. These embodiments can be implemented in various other forms, and various omissions, substitutions, and changes can be made without departing from the gist of the invention. These embodiments and their modifications are included within the scope and gist of the invention as well as within the scope of the invention described in the claims and its equivalents.

10... Health level estimation server device, 20... Information terminal, 40... Weight scale, 50... Emotion sensor, 80... Emotion estimation server device, 90... Network line.

Claims (2)

In a server device connected to an external information terminal via a communication line,
From the external information terminal, objective data regarding the physical health of the examinee, data of the examinee's responses to the questionnaire regarding the physical health, and data of the examinee who influences the responses to the questionnaire regarding the physical health are obtained. Personality tendency data of the subject, objective data regarding the mental health of the subject, data of responses to a questionnaire regarding the mental health of the subject, personality of the subject that influences responses to the questionnaire regarding mental health. objective data regarding the social health of the test subject, data on responses to the questionnaire regarding the social health of the test subject, and personality tendencies of the test subject that influence the responses to the questionnaire regarding the social health. a receiving unit that receives data;
correcting a subjective index related to physical health based on the test subject's answers to the physical health questionnaire based on personality tendency data of the test subject that influences the answers to the physical health questionnaire ; Calculating the current level of physical health based on the corrected subjective index regarding physical health and the objective index regarding physical health of the subject based on objective data regarding the physical health of the subject. a first calculation processing unit;
correcting subjective numerical values regarding mental health based on the test subject's responses to the mental health questionnaire based on personality tendency data of the test subject that influences the answers to the mental health questionnaire ; Calculating the current level of mental health based on the corrected subjective numerical value regarding mental health and an objective index regarding the mental health of the test subject based on objective data regarding the mental health of the test subject. a second calculation processing unit;
correcting the subjective numerical value regarding social health based on the test subject's answers to the social health questionnaire based on personality tendency data of the test subject that influences the answers to the social health questionnaire ; Calculating the current social health level based on the corrected subjective value regarding social health and an objective index regarding the social health of the test subject based on objective data regarding the social health of the test subject. a third calculation processing unit;
and a comprehensive health level calculation processing unit that calculates the current overall health level of the subject based on the current physical health level, the current mental health level, and the current social health level. An information processing device characterized by: A computer that is connected to an external information terminal via a communication line,
From the external information terminal, objective data regarding the physical health of the examinee, data of the examinee's responses to the questionnaire regarding the physical health, and data of the examinee who influences the responses to the questionnaire regarding the physical health are obtained. Personality tendency data of the subject, objective data regarding the mental health of the subject, data of responses to a questionnaire regarding the mental health of the subject, personality of the subject that influences responses to the questionnaire regarding mental health. objective data regarding the social health of the test subject, data on responses to the questionnaire regarding the social health of the test subject, and personality tendencies of the test subject that influence the responses to the questionnaire regarding the social health. means for receiving data;
correcting a subjective index regarding physical health based on the test subject's answers to the physical health questionnaire based on personality tendency data of the test subject that influences the answers to the physical health questionnaire ; Calculating a current level of physical health based on the corrected subjective index regarding physical health and an objective index regarding physical health of the subject based on objective data regarding the physical health of the subject. means and
correcting subjective numerical values regarding mental health based on the test subject's answers to the mental health questionnaire based on personality tendency data of the test subject that influences the answers to the mental health questionnaire ; Calculating the current level of mental health based on the corrected subjective numerical value regarding mental health and an objective index regarding the mental health of the test subject based on objective data regarding the mental health of the test subject. means and
correcting the subjective numerical value regarding social health based on the test subject's answers to the social health questionnaire based on personality tendency data of the test subject that influences the answers to the social health questionnaire ; Calculating the current social health level based on the corrected subjective value regarding social health and an objective index regarding the social health of the test subject based on objective data regarding the social health of the test subject. means and
A program for functioning as means for calculating a current overall health level of the subject based on the current physical health level, the current mental health level, and the current social health level.