JP7250310B2 - Server device, information processing device and program - Google Patents

Description

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

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

As defined by the WHO (World Health Organization), health should be comprehensively considered not only from physical aspects but also from mental and social aspects. In addition, originally, it is necessary not only to determine whether a person is ill, but also to be able to measure the degree of health of a healthy person who is not yet ill. When defining "comprehensive health", it takes into consideration the three aspects of physical health, mental health, and social health, and the fact that the stages from health to illness can be measured steplessly. At present, there is no established method for estimating highly reliable overall health.

In addition, in order to obtain subjective symptoms, it is common to collect answers to various questions from the subject and analyze the results. and the living environment (life stage) are considered to contribute greatly. However, the current situation is that there is no established effective method for estimating the degree of health with high reliability in consideration of such personal tendencies and living environment.

The object is to improve the reliability of the method for estimating the comprehensive health level of the subject.

The server device according to the present embodiment includes objective data on the physical health of the subject, answer data on the physical health of the subject, questionnaire answers on the physical health, and effects on the answers to the questionnaire on the physical health. subject's personality tendency data, subject's mental health objective data, subject's mental health questionnaire response data, subject's personality that influences mental health questionnaire response social trend data, living environment data on subject's mental health, objective data on subject's social health, response data on subject's social health questionnaire, impact on responses to social health questionnaire Personal tendency data of the subject to be used, and living environment data related to the social health of the subject are used.

Each of these data is quantified. An objective index, response index, and personality tendency index regarding physical health can be obtained. An objective index, response index, personality tendency index, and living environment index related to mental health can be obtained. An objective index, response index, personality tendency index, and living environment index related to social health can be obtained.

Regarding physical health, after correcting the response index according to the personality tendency index regarding mental health, the current physical health based on the corrected response index regarding physical health and the objective index regarding physical health Calculate degrees.

Regarding mental health, similarly, after correcting the response index according to the mental health personality tendency index, the current response index based on the corrected mental health response index and mental health objective index Calculate your mental health. Regarding mental health, the calculated mental health degree is corrected according to the living environment index related to mental health.

Regarding social health, after correcting the response index according to the personality tendency index related to social health, the current social health based on the corrected response index related to social health and the objective index related to social health Calculate degrees. Further, in the same manner as the mental health degree calculation, the calculated current social health degree is corrected according to the living environment index related to social health.

Based on the current physical health, the current mental health and the current social health thus calculated, the current overall health of the subject is calculated.

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 apparatus of FIG. FIG. 3 is a diagram showing the procedure for calculating the health level according to this embodiment. FIG. 4 is a diagram showing the calculation processing procedure of the "current physical health level" in FIG. FIG. 5 is a diagram showing an example of objective data used in steps S1, S2, and S3 of FIG. FIG. 6 is a diagram showing an example of a tally table of the answers to the physical health questionnaire tallied in steps S13 and S15 of FIG. FIG. 7 is a diagram showing an example of a questionnaire screen about subjective symptoms related to physical health displayed on the information terminal of FIG. FIG. 8 is a diagram showing an example of a questionnaire screen about physical health-related personality displayed on the information terminal of FIG. FIG. 9 is a diagram showing an example of various conversion tables used for quantification in each step of FIG. FIG. 10 is a diagram showing the calculation processing procedure of the "current mental health level" in FIG. FIG. 11 is a diagram showing an example of a tally table of the answers to the mental health questionnaire tallied in steps S22, S24, and S26 of FIG. FIG. 12 is a diagram showing an example of a questionnaire screen about subjective symptoms related to mental health displayed on the information terminal of FIG. FIG. 13 is a diagram showing an example of a questionnaire screen about mental health-related personality displayed on the information terminal of FIG. FIG. 14 is a diagram showing an example of a questionnaire screen about the living environment related to mental health 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. FIG. 16 is a diagram showing the calculation processing procedure of the "current social health level" in FIG. FIG. 17 is a diagram showing an example of a tally table of answers to questionnaires on social health tallied in steps S32, S34, and S36 of FIG. 18 is a diagram showing an example of a questionnaire screen about subjective symptoms related to social health displayed on the information terminal of FIG. 1. FIG. FIG. 19 is a diagram showing an example of a questionnaire screen about personalities related to social health displayed on the information terminal of FIG. FIG. 20 is a diagram showing an example of a questionnaire screen about 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. FIG. 22 is a diagram showing the calculation processing procedure of the "ideal overall health level for presentation" in FIG. FIG. 23 is a diagram showing an example of a tally table of satisfaction with respect to physical health, mental health, social health, and overall health used in step S5 of FIG. FIG. 24 is a diagram showing an example of a questionnaire screen for satisfaction with current physical health, current mental health, current social health, and current general health, displayed on the information terminal of FIG. be. FIG. 25 is a diagram showing an example of a summary table of questionnaires regarding cognitive characteristic tendencies for determining the weighting factor used in the calculation process of the "ideal overall health level for presentation" in step S5 of FIG. FIG. 26 is a diagram showing an example of a questionnaire screen about cognitive characteristic tendencies displayed on the information terminal of FIG. FIG. 27 is a diagram showing an example of various conversion tables used for determining weighting factors relating to cognitive characteristic tendencies from the results of the questionnaire responses in FIG. FIG. 28 is a diagram showing the calculation results of the current overall health level and the ideal overall health level in step S5 of FIG. FIG. 29 is a diagram showing a display example of the current overall health level and the ideal overall health level calculated in step S5 of FIG.

A server device according to an embodiment of the present invention will be described below with reference to the drawings.
As shown in FIG. 1, a portable information terminal 20 such as a smartphone possessed by the subject (hereinafter referred to as a server device 10 (hereinafter referred to as a health estimation server device 10) for estimating the health level of the subject. , simply referred to as information terminal 20) are connected via a network line 90 such as the Internet so as to be able to transmit and receive data to each other.

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

From the information terminal 20, the health level estimation server device 10 is provided with the results of questionnaire responses, objective data relating to physical health, objective data relating to mental health, and objective data relating to social health. As a result, the health level estimation server device 10 estimates the current overall health level and the ideal overall health level of the subject based on the various data provided from the information terminal 20, and outputs the estimated results to the information terminal 20. provide to

The information terminal 20 is connected to a device for collecting objective data relating to the physical health of the subject, such as a weight scale 40 . The subject's weight data measured by the weight scale 40 is transmitted to the health level estimation server device 10 via the information terminal 20 . Heart rate data, blood pressure data, and the like may be used as objective data relating to the physical health of the subject.

Also, the information terminal 20 is connected to a device for collecting objective data relating to the subject's mental health, such as the emotion sensor 50 . The emotion sensor 50 is, for example, a wristwatch type, and collects the amount of perspiration and heart rate of the subject. The subject's perspiration amount data and heart rate data 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 quantifies the subject's mental health condition into an emotional value based on the received sweat amount data and heart rate data of the subject, and returns data regarding the emotional value to the information terminal 20. do. Information terminal 20 transmits data on the emotion value estimated by emotion estimation server device 80 to health level estimation server device 10 .

In addition, as long as the degree of mental health of the subject can be quantified, the data of the subject used for quantification is not limited to the above. For example, based on the subject's voice data collected by a microphone equipped on the information terminal 20, the voice state of the subject may be quantified as an emotion value. The facial expression of the subject may be quantified as an emotional value based on the facial image data of the subject collected by the camera. Of course, it is also possible to estimate the subject's emotional value by arbitrarily combining these methods.

As shown in FIG. 2 , the health level estimation server device 10 has a processor 11 . 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 a main memory, work area, etc. of the processor 11 . The processor 11 loads necessary programs and the like for execution of processing from a storage device 17 consisting of an HDD, an SSID, a ROM, etc. to 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 level estimation program. The storage device 17 also stores various conversion table data used in the process of estimating the ideal overall health level. In addition, the storage device 17 stores subjective data, personality tendency data, and living environment (life stage) of the subject related to physical health, mental health, and social health, which are the basis for estimating the current general health level. Questionnaire data for collecting data and subject's response data to the questionnaire are stored. In addition, questionnaire data regarding the degree of satisfaction with respect to each current health level and response data of the subject to the questionnaire are stored. Furthermore, the subject's intuition and logic used in the calculation process to estimate the ideal overall health for presentation from the ideal physical health, ideal mental health, and ideal social health Questionnaire data related to (cognitive characteristic tendency) and subject's response data to the questionnaire are stored. Furthermore, the storage device 17 stores objective data of the subject relating to physical health, mental health, and social health, which is the basis for estimating the current comprehensive health level.

The communication device 15 controls communication with the external information terminal 20 via the 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 reply data to the questionnaire from the information terminal 20 .

FIG. 3 shows the outline procedure of the estimation processing of the ideal overall health level. In the overview 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, the ideal overall health is calculated based on the calculated current overall health.
Specifically, the current physical health is divided into objective physical health (objective index on physical health), subjective physical health (response index on physical health), and physical health. health-related personality index (physical health-related personality tendency index) (S1).

The current mental health level is divided into objective mental health level (objective index on mental health), subjective mental health level (response index on mental health), and personality index related to mental health. (Personality Tendency Index for Mental Health) and Environmental Index for Mental Health (Living Environment Index for Mental Health) (S2).

Current social health is divided into objective social health (objective index on social health), subjective social health (response index on social health), and personality index on social health. It is calculated based on (social health-related personality tendency index) and social health-related environmental index (social health-related living environment index) (S3).

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

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

Hereinafter, "estimation processing of current physical health level", "estimation process of current mental health level", "estimation process of current social health level" and "estimation processing of ideal overall health level for presentation" ” will be explained separately.

Hereinafter, the estimation processing of the "current physical health level" in FIG. 3 will be described with reference to FIGS. 4 to 9. FIG.

First, various data necessary for estimating the current physical health level and questionnaire screens for collecting various data will be described with reference to FIGS. 5 to 8. FIG.
As shown in FIG. 5, the health level estimation server device 10 stores data on 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.

In addition, as shown in FIG. 6, the health level estimation server device 10 stores response data to a questionnaire about subjective symptoms related to physical health as subjective data necessary for estimating a subjective physical health level. is stored in association with the subject ID. Response data is input by the subject through a questionnaire screen about subjective symptoms related to physical health displayed on the information terminal 20 . As shown in FIG. 7, the questionnaire about subjective symptoms related to physical health includes questionnaire items such as symptoms that actually appear physically, for example, "gastrointestinal disorder". The subject inputs the answer value to the questionnaire item in the answer column according to the answer method described in the legend. For example, for the questionnaire item "gastrointestinal upset", the subject enters "5" in the answer column if "severely bothered", and "1" if "not bothered at all". input.

Furthermore, as shown in FIG. 6, the health degree estimation server device 10 stores information about 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 questionnaires are stored in association with subject IDs. The personality tendency data is input by the subject via a questionnaire screen about the personality related to physical health displayed on the information terminal 20 . Physical health personalities are divided into "nervous" and "specific". As shown in FIG. 8, the questionnaire about personality related to physical health includes a plurality of questionnaire items about personality "nervous" and a plurality of questionnaire items about personality "level of detail". Questionnaire items about the personality of "nervous" include questionnaire items such as "I think you are easily upset by anxiety." A plurality of questionnaire items related to the personality "level of detail" include questionnaire items such as "attentive to details". The subject inputs the answer value to the questionnaire item in the answer column according to the answer method described in the legend provided for each questionnaire item.

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

As shown in FIG. 4, first, objective physical fitness is calculated. An objective physical health index is calculated based on objective data on 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 representing the degree of obesity of a subject. The calculated BMI is converted (quantified) into an objective physical health degree using the conversion table shown in FIG. 9(b) (S12). Typically, the storage device stores a plurality of conversion tables for each sex 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.

A subjective physical health score is then calculated. Subjective physical fitness is calculated based on response data. Specifically, response data to a questionnaire regarding subjective symptoms related to physical health is aggregated (S13). In this tabulation process, numerical values are assigned to answer data according to a predetermined rule. For example, the numerical value "5" is assigned to the response data "5", and the numerical value "1" is assigned to the response data "1". The assigned numerical values are aggregated, and the aggregated values are converted (quantified) into percentile values representing subjective physical health levels using the percentiles shown in FIG. 9(c) (S14).

A personality index is then calculated. The Personality Index is calculated based on personality trend data related to physical health. Specifically, as personality tendency data related to physical health, answer data to a questionnaire regarding personality related to physical health is aggregated (S15). As with subjective physical health, this aggregation process assigns numeric values to the response data according to predefined rules. The assigned numerical values are aggregated, and the aggregated value is converted into a personality index (S16). More specifically, the response data to the questionnaire regarding the personality "nervous" is aggregated, and the aggregated value is converted into a percentile value representing the nervousness index using the percentile shown in FIG. 9(d). Similarly, the answer data to the questionnaire regarding the personality "level of detail" is aggregated, and the aggregated value is converted into a percentile value representing the detail index using the percentile shown in FIG. 9(e). Then, the sum of the percentile value representing the nervousness index and the percentile value representing the detail index is converted into the personality index using the conversion table shown in FIG. 9(f).

Finally, the current physical fitness is calculated. For example, the current physical health level calculation formula can be represented by formula (1).
Current physical health level = {(objective physical health level)
+ (subjective physical health) x (personality index)}/2 (1)
That is, the subjective physical health degree obtained in step S14 is corrected by the personality index obtained in step S16, and the corrected subjective physical health degree and the objective physical health degree 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 percentile shown in FIG. 9(a) (S17).

One feature of the current physical health level estimation process is that the current physical health level estimation process uses an objective physical health level and a subjective physical health level. An objective physical health level is calculated based on objective data measured by a measuring instrument such as a weight scale and a height scale. The subjective physical health degree is calculated based on the subject's response data to a questionnaire about subjective symptoms related to physical health. For example, in actual daily life, there are cases where physical condition does not appear as a subjective symptom but does not appear as a numerical value on a measuring instrument, and there are cases where it is not surprising that a measuring instrument does not appear as a subjective symptom but physical condition is poor according to the numerical value of a measuring instrument. When estimating the degree of physical health based only on subjective symptoms or numerical values of measuring instruments, either one of the above two cases is estimated to be healthy. By using equation (1) as in this embodiment, it is possible to estimate the physical health level in consideration of the subjective symptoms and the numerical value of the measuring device. That is, the reliability of the current physical health level calculated using formula (1) is higher than the current physical health level calculated from only the objective physical health level or only the subjective physical health level. expensive.

Another feature of the current physical health level estimation process is that the subjective physical health level is corrected with the subject's personality index. The objective physical health level based on objective data does not change with the subject's personality tendency, but the subjective physical health level based on the questionnaire response results does not change depending on the subject's personality. change according to trends. This is because the subject's personality tendency influences the responses to the physical health questionnaire. For example, if the subject has a nervous personality, there is a possibility that the subjective symptoms will be judged and answered harshly, and if the subject is not a nervous personality, the subjective symptoms will be judged loosely. and may answer. However, by correcting the subjective physical health level with the subject's personality index, it is possible to remove or reduce the subject's personality tendencies that affect 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 physical health estimation process, not only the objective data of the subject, but also the subject's actual responses to various types of questionnaires such as the subject's subjective symptoms and personality. Since the answer data is taken into consideration, the subject's degree of satisfaction with the current physical health level estimated using the formula (1) is high. That is, it can be said that the present physical health level estimation processing is highly reliable also from the viewpoint of the subject's satisfaction.

Hereinafter, the estimation processing of the "current mental health level" in FIG. 3 will be described with reference to FIGS. 5 and 10 to 15. FIG.

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

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 levels. It is stored in association with the ID. The response data is input by the subject through a mental health questionnaire screen displayed on the information terminal 20 . As shown in FIG. 12, the mental health questionnaire includes, for example, questionnaire items such as "not getting enough rest." The subject inputs the answer value to the questionnaire item in the answer column according to the answer method described in the legend. For example, for the questionnaire item "not getting much rest", if the subject is "seriously bothered", enter "5" in the answer column, and if "not bothered at all", Enter "1".

In addition, as shown in FIG. 11, the health level estimation server device 10 stores information about 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 questionnaires are stored in association with subject IDs. The personality tendency data is input by the subject via a questionnaire screen on the mental health-related personality displayed on the information terminal 20 . Personalities related to mental health can be divided into "emotional awareness" and "self-efficacy." As shown in FIG. 13, the questionnaire includes a plurality of questionnaire items about the personality "emotion perception" and a plurality of questionnaire items about the personality "self-efficacy". A plurality of questionnaire items about the personality "emotion detection" includes questionnaire items such as "I know how I feel even when I am emotional." Multiple questionnaire items related to personality "self-efficacy" include questionnaire items such as "Know your own ability and clearly say yes or no." The subject inputs the answer value to the questionnaire item in the answer column according to the answer 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. is stored in association with the subject ID. The living environment data is input by the subject via a questionnaire screen about the living environment related to mental health displayed on the information terminal 20 . As shown in FIG. 14, a plurality of questionnaire items about the living environment related to mental health include, for example, "What is your income source?" For example, in response to the questionnaire item "How is your income source?" It is configured to input "1" in the answer column.

Next, a procedure for estimating the current mental health level will be described with reference to FIGS. 10 and 15. FIG. The current mental health level is obtained by combining 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 mental health level. 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. An objective mental health score is calculated based on objective data on mental health. Specifically, the subject's emotional value is converted into a percentile value representing an objective mental health level using the percentile shown in FIG. 15(b) (S21).

A subjective mental health score is then calculated. A subjective mental health score is calculated based on the response data. Specifically, response data to questionnaires related to mental health are aggregated (S22). In this tabulation process, numerical values are assigned to answer data according to a predetermined rule. For example, the numerical value "5" is assigned to the response data "5", and the numerical value "1" is assigned to the response data "1". The assigned numerical values are aggregated, and the aggregated value is converted into a percentile value representing subjective mental health using the percentile shown in FIG. 15(c) (S23).

A personality index is then calculated. A personality index is calculated based on personality trend data regarding the subject's mental health. Specifically, the answer data to the questionnaire about the personality related to mental health is totaled (S24). Similar to subjective mental health, this aggregation process assigns numerical values to response data according to predefined rules. The assigned numerical values are aggregated, and the aggregated value is converted into a personality index (S25). More specifically, the response data to the questionnaire regarding the personality "emotion perception" is aggregated, and the aggregated value is converted into a percentile value representing the emotion perception index using the percentile shown in FIG. 15(d). Similarly, the answer data to the questionnaire regarding the personality "self-efficacy" is aggregated, and the aggregated value is converted into the percentile value representing the self-efficacy index using the percentile shown in FIG. 15(e). Then, the sum of the percentile value representing the emotion perception 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 living environment index for mental health is calculated based on the living environment data for mental health of the subject. Specifically, the answer data to the questionnaire regarding the living environment related to mental health is totaled (S26). Similar to subjective mental health, this aggregation process assigns numerical values to response data according to predefined rules. The assigned numerical values are aggregated, and the aggregated 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, the current mental health is calculated. The current mental health level is divided into the objective mental health level, the subjective mental health level, the subject's personality index regarding mental health, and the subject's living environment index regarding mental health. calculated based on

For example, the current mental health level calculation formula can be represented by formula (2).
Current mental health level = {(objective mental health level)
+ (subjective mental health) x (personality index related to mental health)}/2
× (living environment index related to mental health) (2)
That is, the subjective mental health degree obtained in step S23 is corrected by the personality index related to mental health obtained in step S25, and the corrected subjective mental health degree and the objective obtained in step S21 It is possible to estimate the current mental health level by adding it to the current mental health level and taking the average. Further, the current mental health level is corrected by the living environment index related to mental health obtained in step S27. The corrected current physical health level is digitized into a percentile value using the percentile shown in FIG. 15(a) (S27).

The current mental health estimation process has features similar to the current physical health estimation process. That is, one feature of the current mental health level estimation process is that the current mental health level estimation process uses an objective mental health level and a subjective mental health level. For example, in actual daily life, there is a case where the user is mentally tired even though the numerical value of the measuring instrument does not appear, or a sensor device where the sensor device is not mentally fatigued even though the tension continues in the actual sense. As a measurement value, it may be mentally tired. Even in such a case, by using equation (2), it is possible to estimate the degree of mental health in consideration of the sense of the subject and the measurement value of the sensor device, and only the sense of the subject can be estimated. Or it is more reliable than the current mental health level calculated only from the sensor device measurements.

Another feature of the current mental health level estimation process is that the subjective mental health level is corrected with the subject's personality index. For example, if the examinee does not have a good grasp of his/her own emotions, there is a possibility that he or she does not appropriately judge the actual mental health level before answering. In this way, since the responses to the mental health questionnaire are influenced by the subjects' personal tendencies, the subjective degree of mental health based on the results of the questionnaire responses varies according to the subjects' personal tendencies. put away. However, by using the formula (2), by correcting the subjective mental health level with the subject's personality index, the subject's personality tendency affecting the answers to the questionnaire is removed or can be reduced. In other words, the reliability of the current mental health level calculated using Equation (2) is higher than when correction using the subject's personality index is not performed.

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

In addition, in the estimation processing of the current mental health level, as in the already explained estimation processing of the current physical health level, not only the subject's objective data but also the subject's current situation, personality, lifestyle, etc. Since the response data that the subject actually answered to various types of questionnaires such as the environment is considered, the subject's satisfaction with the current mental health level estimated using formula (2) degree is high. In other words, it can be said that the current mental health level estimation process is highly reliable from the viewpoint of the degree of satisfaction of the subject.

Hereinafter, the estimation processing of the "current social health level" in FIG. 3 will be described with reference to FIGS. 16 to 21. FIG.

First, various data necessary for estimating the current social health level and questionnaire screens for collecting the various data will be described with reference to FIGS. 5 and 17 to 20. FIG.
As shown in FIG. 5, the health level estimation server device 10 has data on the number of SNS (Social Networking Service) responses of the subject as objective data necessary for estimating the 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 be the number of times the subject replies to the third party's writing. As the subject's objective data related to social health, the subject's number of emails, the subject's chat usage time, the number of friends on the Internet, and the like 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 levels. It is stored in association with the ID. The response data is input by the subject via a social health questionnaire screen displayed on the information terminal 20 . As shown in FIG. 18, the social health questionnaire includes, for example, questionnaire items such as "there is no one to consult with." The subject inputs the answer value to the questionnaire item in the answer column according to the answer method described in the legend. For example, for the questionnaire item "no one to consult", if the subject is "severely troubled", enter "5" in the answer column, and if "satisfied and no problem", Enter "1".

In addition, as shown in FIG. 17, the health degree estimation server device 10 stores information about 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 questionnaires are stored in association with subject IDs. Personality tendency data related to social health is input by the subject via a questionnaire screen about personality related to social health displayed on the information terminal 20 . As shown in FIG. 19, personalities related to social health are divided into "social relations" and "group guidance." The questionnaire about personalities related to social health includes a plurality of questionnaire items regarding personality "social relations" and a plurality of questionnaire items regarding personality "group guidance". The questionnaire about the personality "socializing with people" includes questionnaire items such as "I can get along with people I am not good at." Questionnaires related to the personality "group guidance" include questionnaire items such as "I can lead everyone". The subject inputs the answer value to the questionnaire item in the answer column according to the answer method described in the legend.

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

Next, the current social health degree estimation procedure will be described with reference to FIGS. 16 and 21. FIG. The current social health level is obtained by combining 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, objective social health is calculated. The objective social health index is calculated based on objective data on social health. Specifically, the number of SNS responses of the subject is converted into a percentile value representing an objective social health level using the percentile shown in FIG. 21(b) (S31).

A subjective social health score is then calculated. Subjective social health is calculated based on response data to social health questionnaires. Specifically, response data to questionnaires related to social health are aggregated (S32). In this tabulation process, numerical values are assigned to answer data according to a predetermined rule. For example, the numerical value "5" is assigned to the response data "5", and the numerical value "1" is assigned to the response data "1". The assigned numerical values are aggregated, and the aggregated values are converted into percentile values representing subjective social health levels using the percentiles shown in FIG. 21(c) (S33).

A personality index is then calculated. A personality index is calculated based on the subject's social health personality propensity data. Specifically, the answer data to the questionnaire about personalities related to social health are aggregated (S34). Similar to subjective social health, this aggregation process assigns numeric values to response data according to predefined rules. The assigned numerical values are aggregated, and the aggregated value is converted into a personality index (S35). More specifically, the answer data to the questionnaire regarding the personality "social interaction" is aggregated, and the aggregated value is converted into a percentile value representing the social interaction index using the percentile shown in FIG. 21(d). Similarly, the answer data to the questionnaire about the personality "group guidance" is aggregated, and the aggregated value is converted into the percentile value representing the group guidance 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 guidance index are added, and the total value is converted into the personality index using the conversion table shown in FIG. 21(f).

Next, a living environment index is calculated. A social health environment index is calculated based on the subject's social health environment data. Specifically, the answer data to the questionnaire regarding the living environment related to social health is totaled (S36). Similar to subjective social health, this aggregation process assigns numeric values to response data according to predefined rules. The assigned numerical values are aggregated, and the aggregated 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 is calculated. The current social health is divided into the objective social health, the subjective social health, the subject's personality index regarding social health, and the subject's living environment index regarding social health. calculated based on

For example, the current social health degree calculation formula can be represented by formula (3).
Current social health level = {(objective social health level)
+ (subjective social health) x (personality index related to social health)}/2
× (living environment index related to social health) (3)
That is, the subjective social health degree obtained in step S33 is corrected by the personality index related to social health obtained in step S35, and the corrected subjective social health degree and the objective obtained in step S31 It is possible to estimate the current social health by adding it to the current 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 digitized into a percentile value using the percentile shown in FIG. 21(a) (S27).

The current social health estimation process has features similar to the current mental health estimation process. That is, one feature of the current social health level estimation process is that the current social health level estimation process uses an objective social health level and a subjective social health level. For example, in actual daily life, there are cases in which SNS is rarely used but in fact actively involved in various social communities, or in which SNS is frequently used but in reality May not participate at all in social communities. Even in such a case, by using the formula (3), it is possible to estimate the social health level that takes into account virtual social activities on the Internet and actual social activities, A more reliable current social health degree 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 with the subject's personality index. For example, if the subject is originally not good at interpersonal relationships or is not good at taking leadership, there is a possibility that he or she will passively answer the questionnaire. In this way, since the responses to the social health questionnaire are affected by the subjects' personal tendencies, the subjective social health degree based on the results of the questionnaire responses varies depending on the subject's personal tendencies. put away. However, by using the formula (3), by correcting the subjective social health degree with the subject's personality index, the subject's personality tendency affecting the questionnaire answers is 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 with the subject's living environment index. This feature is not present in current physical fitness estimation processes. For example, assume that there are two subjects with the same current social wellness before correction. Subject A, on the other hand, is married and has a defined 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 is more satisfied than subject B in terms of social affiliation needs. Therefore, even if the current social health level before correction is the same, the current social health level of subject A is higher than the current social health level of subject B, and is healthy. should be corrected to be By correcting the calculated current social health level with the subject's living environment index as in Equation (3), the subject's living environment can also be taken into consideration. That is, the reliability of the current social health level calculated using Equation (3) is higher than when the subject's living environment index is not used.

In addition, in the estimation processing of the current social health level, as in the estimation processing of the current physical health level and the mental health level already described, not only the subject's objective data but also the subject's current Considering the response data actually answered by the subject to various types of questionnaires such as situation, personality, and living environment, the current social health level estimated using formula (3) Subject's satisfaction is high. That is, it can be said that the current social health level estimation process is highly reliable also from the viewpoint of the subject's satisfaction.

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

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

In addition, as shown in FIG. 25, the health level estimation server device 10 stores the subject's Reply data to a questionnaire about cognitive characteristics is stored in association with subject IDs. The subject's cognitive trait tendency data is input by the subject through a questionnaire screen regarding the cognitive trait tendency displayed on the information terminal 20 . Cognitive trait tendencies are divided into "intuition" and "logic". As shown in FIG. 26, the questionnaire regarding cognitive characteristic tendencies includes a plurality of questionnaire items regarding "intuition" and a plurality of questionnaire items regarding "logic". For example, a plurality of questionnaire items about "intuition" include questionnaire items such as "emphasis on intuition when making decisions". A plurality of questionnaire items related to "logicality" include questionnaire items such as "Most decisions are made based on rigorous analysis." The subject selects an object corresponding to the answer value for the questionnaire item. The following questionnaire items are displayed according to the click of the "next" button by the subject.

Next, the procedure for estimating the ideal overall health level for presentation will be described with reference to FIGS. 22 and 27. FIG. The ideal overall health score for presentation is the current physical health score and satisfaction with the current physical health score, the current mental health score and satisfaction with the current mental health score, and the current social health score. It is calculated based on the degree of satisfaction 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, the mental health level, and the social health level. For example, when the current physical health level is "68", the current mental health level is "72", and the current social health level is "52", the current general health level is "(68, 72, 52)”.
Therefore, the current comprehensive health level is calculated based on the current physical health level, the current mental health level, and the current social health level calculated by the formulas (1) to (3) already described. be.

As shown in FIG. 22, first, the 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 the index corresponding to the degree of satisfaction with the current overall health level (S51). For example, if the current comprehensive health level is "(68, 72, 52)" and the satisfaction level for the current comprehensive health level is "80 points", the reciprocal of the index "80/100" corresponding to the satisfaction level "80 points" '100/80' is multiplied by the current overall health level '(68, 72, 52)' to calculate the ideal first overall health level '(85, 80, 65)'.

Next, the 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, the ideal mental health level, and the ideal social health level. The ideal physical health level is calculated by multiplying the current physical health level by the reciprocal of the index corresponding to the degree of satisfaction with the current physical health level (S52). The ideal mental health level is calculated by multiplying the current mental health level by the reciprocal of the index corresponding to the degree of satisfaction with the current mental health level (S53). The ideal social health level is calculated by multiplying the current social health level by the reciprocal of the index corresponding to the degree of satisfaction with the current social health level (S54). The calculation processing of each ideal health degree in steps S52 to S54 is the same as the calculation processing described 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 degree obtained in steps S52 to S54 is “70”, the ideal mental health degree is “85”, and the ideal social health degree is “43”, the ideal comprehensive Health is given by "(70, 85, 43)".

Next, a weight is calculated according to the subject's cognitive characteristic tendency (S56). The weight according to the subject's cognitive trait tendency is calculated based on the cognitive trait tendency data. Specifically, response data to a questionnaire regarding the subject's cognitive characteristics is aggregated. In this tabulation process, numerical values are assigned to answer data according to a predetermined rule. The assigned numerical values are aggregated, and the aggregated value is converted into a weight according to the tendency of cognitive characteristics. More specifically, the response data to the questionnaire regarding the cognitive characteristic tendency "intuition" is aggregated, and the aggregated value is converted into a percentile value representing the intuition index using the percentile shown in FIG. 27(a). Similarly, the response data to the questionnaire regarding the cognitive characteristic tendency "logicality" is aggregated, and the aggregated value is converted into the percentile value representing the logicality 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, the ideal overall health score for presentation is calculated. 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 formula for calculating the ideal overall health level for presentation can be represented by formula (4).
Ideal comprehensive health level for presentation = {(ideal first comprehensive health level) x weight 1
+ (ideal second overall health level) x weight 2}/2 (4)
That is, by weighted averaging 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 weight obtained in step S56, An ideal overall health score for presentation can be calculated.

As shown in FIG. 28, the data on the ideal overall health level for presentation calculated by the above calculation process and the data on the current overall health level obtained in the process of the above calculation process are It is stored in the health degree estimation server device 10 in association with the ID. The data on the ideal comprehensive health level for presentation and the data on 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 on three-dimensional coordinates with physical health level, mental health level, and social health level as three axes. An image plotting 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 grasp his or 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, the current position and target position can be visually grasped at a glance.

One feature of the estimation processing of the ideal overall health level for presentation is that the ideal first overall health level for presentation and the second ideal overall health level index are used to determine the ideal overall health level for presentation. The point is to calculate the overall health level of The ideal first overall health level is based on the current overall health level and satisfaction with it. Since the subject answers how satisfied he/she is with the health level in a broad framework, it can be said that the ideal first overall health level is relatively intuitive. On the other hand, the ideal second comprehensive health level is based on each health level and satisfaction with them. Since the subject divides the degree of health into small frameworks of physical, mental and social, and answers how satisfied he is with each degree of health, the ideal second overall health degree is It can be said that it is logical. In this way, by integrating two types of ideal overall health with different cognitive trait tendencies and calculating the final ideal overall health (ideal overall health for presentation), the subject's It is possible to suppress the influence of differences in cognitive trait tendencies between subjects, and to estimate the ideal comprehensive health level for presentation with high reliability.

Another feature of the presenting ideal overall health level estimation process is that the ideal first overall health level and the ideal second overall health level are used to calculate the final ideal overall health level for presentation. It is in the weighted average of degrees and degrees. For example, if the cognitive characteristic tendency of the subject is intuitive, increasing the ratio of the ideal first overall health level will provide an ideal overall health level for presentation with high reliability. On the other hand, if the cognitive characteristic tendency of the subject is logical, increasing the ratio of the ideal second overall health level will provide a highly reliable ideal overall health level for presentation. Therefore, as in the present embodiment, the cognitive characteristic tendency of the subject is specified using a questionnaire, and the weighted average is calculated using the weight according to the cognitive characteristic tendency, so that the reliability of the ideal comprehensive health degree for presentation can improve sexuality.

Another feature of the process of estimating the ideal overall health level for presentation is that the subject's ideal is set according to the subject's degree of satisfaction. Even if the subject is presented with an absolute ideal health level, the extent to which he/she wants to be healthy differs depending on the subject, and in the first place, it is not possible to know what the absolute ideal health level is. Because it is difficult, the motivation to strive toward the ideal health level is reduced. On the other hand, by calculating the ideal health level based on the satisfaction level of the subject himself/herself, it is possible to present the subject with the ideal health level that is the target at that point in time. Of course, the ideal level of health changes with age, with changes in hobbies and tastes, with changes in the surrounding environment, and with changes in the living environment. . The point that the ideal overall health level for presentation, which is the target, fluctuates according to various emotions and changes in the environment indicates the degree of satisfaction (reliability) of the subject to the process of estimating the ideal overall health level for presentation. ). By convincing the subject, the subject can make efforts toward the ideal health level that the subject himself/herself thinks.

According to the health level estimation server device 10 according to the present embodiment described above, the current health level (current physical health, current mental health, current social health, and current overall health) can be steplessly quantified and provided to the subject. This allows the subject to recognize whether he or she is in a healthy state or in a near-ill state.

Health level estimation server device 10 according to the present embodiment, in order to improve the reliability of the current comprehensive health level, comprehensively from the three aspects of physical health, mental health and social health Using objective data and subjective data of the subject in the current calculation process of each health level, subjective data being used in the current calculation process of each health level correcting the subject's personality index, and finally correcting the current health degree with the subject's living environment index in the calculation process of the current mental health degree and the current social health degree, ideal for presentation Calculate the overall health level of using two types of ideal first and second overall health levels, and calculate the two ideal first and second overall health levels based on the subject's cognitive characteristic tendency weighted averaging to calculate an ideal overall health score for presentation. The functions and effects of these features have already been explained. Apart from these, the fact that percentiles are used to quantify aggregate values of response data to questionnaires is also one of the important features for improving the reliability of health level estimation. Since the response data is the subjective data of the subject, even if the aggregated value of the response data is quantified by absolute evaluation, the evaluation value is unreliable. On the other hand, by quantifying the total value of the response data by relative evaluation such as percentile, the evaluation value can be given objectivity, ensuring the reliability of subjective data such as questionnaire response data. can do. In addition, by using percentiles with large parameters, each subject's height is quantified by the current position in a large parameter, so it can be said that the degree of satisfaction is also high for the subject.

As already explained, the health level estimation server device 10 according to this embodiment has a plurality of features for improving the reliability of health level estimation. However, some of the features can be omitted if a reliable health score is obtained. For example, objective data relating to mental health and objective data relating to social health may be excluded from the health level estimation process. Further, in the present embodiment, the ideal overall health level for presentation is calculated based on the ideal first overall health level and the ideal second overall health level, and is provided to the information terminal 20 of the subject. However, without 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 this embodiment has a communication function, and receives various data from the subject's information terminal 20 via a network line 90 such as the Internet. However, the health level estimation server apparatus 10 can be applied to a single information processing apparatus that does not have a communication function and directly receives an input from a single subject and executes the health level estimation process.

In addition, in this embodiment, the health level estimation server device 10 calculates the current overall health level and the ideal overall health level based on various data related to the subject, and sends these calculated data to the subject. provided to the information terminal 20 of the However, the current general 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 related to the subject, and provides the data on the calculated current comprehensive health level to the information terminal 20 of the subject. can be

While several embodiments of the invention have been described, these embodiments have been 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, replacements, and modifications can be made without departing from the scope of the invention. These embodiments and their modifications are included in the scope and spirit of the invention, as well as the scope of the invention described in the claims and equivalents thereof.

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

Claims (12)

In a server device connected to an external information terminal via a communication line,
From the external information terminal, objective data on the physical health of the subject, response data to the questionnaire on the physical health of the subject, personality of the subject that affects the answers to the questionnaire on physical health trend data, objective data about the subject's mental health, response data to the subject's mental health questionnaire, personality trend data of the subject that influences responses to the mental health questionnaire, Living environment data on the mental health of the subject, objective data on the social health of the subject, response data on the social health questionnaire of the subject, affecting responses to the social health questionnaire a receiving unit that receives personality tendency data of a subject and living environment data related to the social health of the subject;
a first quantification processing unit that quantifies the physical health-related response data and personality tendency data, respectively, to obtain the physical health-related response index and personality tendency index;
Second quantification to obtain the objective index, response index, personality tendency index and living environment index regarding mental health by quantifying the objective data, response data, personality tendency data and living environment data regarding mental health respectively. a conversion processing unit;
Third quantification to obtain the objective index, response index, personality tendency index and living environment index regarding social health by quantifying the objective data, answer data, personality tendency data and living environment data relating to social health respectively. a conversion processing unit;
The physical health response index is corrected by a correction coefficient corresponding to the physical health personality tendency index, and the corrected physical health response index and the index corresponding to the physical health objective data. a first computing unit that computes a current physical health level based on
The mental health response index is corrected by a correction coefficient corresponding to the mental health personality tendency index, and the present is based on the corrected mental health response index and the mental health objective index. a second calculation processing unit that calculates the mental health level of and corrects the calculated current mental health level with a correction coefficient according to the living environment index related to mental health;
The social health response index is corrected by a correction coefficient corresponding to the social health personality tendency index, and the present is based on the corrected social health response index and the social health objective index. a third calculation processing unit that calculates the social health level of and corrects the calculated current social health level with a correction coefficient corresponding to the living environment index related to social health;
a comprehensive health level calculation processing unit that calculates the current comprehensive health level of the subject based on the current physical health level, the current mental health level, and the current social health level;
and a transmitting unit that transmits the calculated current overall health level to the external information terminal. Further comprising an ideal overall health level calculation processing unit that calculates the ideal overall health level of the subject based on the current overall health level and the subject's satisfaction with the current overall health level. 2. The server device according to claim 1. An ideal physical health level calculation processing unit that calculates an ideal physical health level of the subject based on the current physical health level and the subject's satisfaction level with the current physical health level. and an ideal mental health level calculation process for calculating the ideal mental health level of the subject based on the current mental health level and the subject's satisfaction with the current mental health level. and an ideal social health index calculator for calculating an ideal social health index of the subject based on the current social health index and the subject's satisfaction with the current social health index. 2. The server device according to claim 1, further comprising a processing unit. An ideal comprehensive health degree calculation processing unit that calculates an ideal comprehensive health degree of the subject based on the ideal physical health degree, the ideal mental health degree, and the ideal social health degree. 4. The server apparatus according to claim 3, wherein: A first ideal overall health level calculation processing unit that calculates an ideal first ideal overall health level of the subject based on the current overall health level and the subject's satisfaction with the current overall health level. and,
An ideal physical health level calculation processing unit that calculates an ideal physical health level of the subject based on the current physical health level and the subject's satisfaction level with the current physical health level. and an ideal mental health level calculation process for calculating the ideal mental health level of the subject based on the current mental health level and the subject's satisfaction with the current mental health level. and an ideal social health index calculator for calculating an ideal social health index of the subject based on the current social health index and the subject's satisfaction with the current social health index. a processing unit;
A second ideal overall health level calculation process for calculating an ideal second ideal overall health level of the subject based on the ideal physical health level, the ideal mental health level, and the ideal social health level. Department and
2. The apparatus according to claim 1, further comprising a third ideal comprehensive health level calculation processing unit that calculates a third ideal comprehensive health level based on the first ideal comprehensive health level and the second ideal comprehensive health level. server equipment. The third ideal comprehensive health degree calculation processing unit converts the first ideal comprehensive health degree and the second ideal comprehensive health degree to the cognitive characteristic tendency of the subject in order to calculate the third ideal comprehensive health degree. 6. The server device according to claim 5, wherein weighted averaging is performed according to the corresponding weight. The first quantification processing unit converts numerical values assigned according to predetermined rules to the response data and personality tendency data regarding physical health into percentile values using percentiles,
The second quantification processing unit uses percentiles to convert numerical values assigned according to predetermined rules to the objective data, response data, and personality tendency data related to mental health into percentile values,
The third quantification processing unit converts numerical values assigned to the objective data, response data, and personality tendency data relating to social health according to predetermined rules into percentile values using percentiles. The server device according to claim 1. The objective data on mental health is data representing the degree of mental health quantified by an external device based on one or any combination of perspiration state, voice state and facial expression of the subject. The server device according to claim 1, characterized by: 2. The server device according to claim 1, wherein said objective data relating to social health is data quantified based on the frequency of posting on SNS and the frequency of writing responses thereto. A subjective index of physical health based on a subject's response to a physical health questionnaire is corrected based on the subject's personality tendency, and the corrected subjective index of physical health and the subject a first calculation processing unit that calculates a current physical health degree based on an objective index regarding physical health of the person;
The subjective numerical value related to mental health based on the subject's answer to the mental health questionnaire is corrected based on the personality tendency of the subject, and the corrected subjective numerical value related to mental health and the subject a second calculation processing unit that calculates the current mental health level based on the objective numerical value of the examiner's mental health ;
A subjective numerical value related to social health based on the subject's answer to a social health questionnaire is corrected based on the subject's personality tendency , and the corrected subjective numerical value related to social health and the subject a third calculation processing unit that calculates the current social health level based on the objective numerical value regarding the social health of the examiner ;
a comprehensive health level calculation processing unit that calculates the current comprehensive health level of the subject based on the current physical health level, the current mental health level, and the current social health level;
an ideal overall health level calculation processing unit for calculating an ideal overall health level for the subject based on the current overall health level and the subject's degree of satisfaction with the current overall health level. An information processing device characterized by: Objective data on the subject's physical health from an external information terminal, answer data on the subject's physical health questionnaire, and personality tendencies of the subject that affect answers to the physical health questionnaire data, objective data on the subject's mental health, response data to the subject's mental health questionnaire, personality tendency data of the subject that influences responses to the mental health questionnaire, Living environment data on the mental health of the subject, objective data on the social health of the subject, response data to the social health questionnaire of the subject, subjects influencing the responses to the social health questionnaire means for receiving personality trend data of an examiner, living environment data relating to the social health of the subject;
means for quantifying the physical health response data and personality tendency data, respectively, to obtain the physical health response index and personality tendency index;
means for quantifying the objective data, response data, personality tendency data, and living environment data regarding mental health, respectively, to obtain the objective index, answer index, personality tendency index, and living environment index regarding mental health;
means for quantifying the social health-related objective data, response data, personality tendency data, and living environment data, respectively, to obtain the social health-related objective index, response index, personality tendency index, and living environment index;
The physical health response index is corrected by a correction coefficient corresponding to the physical health personality tendency index, and the corrected physical health response index and the index corresponding to the physical health objective data. means for calculating a current physical fitness level based on
The mental health response index is corrected by a correction coefficient corresponding to the mental health personality tendency index, and the present is based on the corrected mental health response index and the mental health objective index. means for calculating the mental health level of and correcting the calculated current mental health level with a correction coefficient according to the living environment index related to mental health;
The social health response index is corrected by a correction coefficient corresponding to the social health personality tendency index, and the present is based on the corrected social health response index and the social health objective index. means for calculating the social health level of and correcting the calculated current social health level with a correction coefficient according to the living environment index related to social health;
means for calculating a current overall health score of the subject based on the current physical health score, the current mental health score and the current social health score;
A program for causing a computer to implement means for transmitting the calculated current overall health level to the external information terminal. A subjective numerical value regarding physical health based on a subject's answer to a questionnaire regarding physical health is corrected based on the subject's personality tendency, and the corrected subjective numerical value regarding physical health and the subject means for calculating a current physical health level based on an objective numerical value relating to the physical health of a person;
The subjective numerical value related to mental health based on the subject's answer to the mental health questionnaire is corrected based on the personality tendency of the subject, and the corrected subjective numerical value related to mental health and the subject means for calculating a current mental health level based on an objective numerical value relating to mental health of an examiner, and correcting the current mental health level based on the living environment of the subject;
A subjective numerical value related to social health based on the subject's answer to a social health questionnaire is corrected based on the subject's personality tendency, and the corrected subjective numerical value related to social health and the subject means for calculating a current social health level based on an objective numerical value relating to the social health of an examiner, and correcting the current social health level based on the living environment of the examinee;
means for calculating a current overall health score of the subject based on the current physical health score, the current mental health score and the current social health score;
A program for causing a computer to implement means for calculating the ideal overall health level of the subject based on the current overall health level and the subject's satisfaction with the current overall health level.

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