JP2022142668A - Calculation program, calculation device, and calculation method - Google Patents

Abstract

To provide effective support so that users can more easily know their risk of disease.SOLUTION: A calculation program according to the invention causes a computer to perform an obtaining procedure and a score calculation procedure. The obtaining procedure obtains a first measurement result which is a measurement result obtained through measurements made on measurement subjects on an item indicating flexibility and other items which differ from the aforementioned item respectively, as measurement items regarding physical fitness. The score calculation procedure calculates a score which provide an indication of the risk for a user to contract certain diseases based on a second measurement result which is a measurement result obtained through measurements made on the user on the measurement items and the first measurement result.SELECTED DRAWING: Figure 2

Description

The present invention relates to a calculation program, a calculation device, and a calculation method.

Techniques for quantifying an individual's risk of developing a disease have conventionally been proposed.

Japanese Patent Application Laid-Open No. 2005-202901

However, the conventional techniques described above cannot always effectively support the user to know the risk of developing a disease in a simpler manner. For example, the above-mentioned prior art accumulates a plurality of data relating to individual health in a database, and compares the data with disease-related data to quantify the risk of individual disease. As data related to health, test values such as height, weight, body temperature, blood pressure, pulse, eyesight, physical strength measurement, etc. and changes over time, lifestyle habits and family history, past disease onset and healing status are required. It is said that

According to the above-described conventional technology, the user is required to examine and measure many items in the health checkup and to collect blood, so it takes time and effort to know the risk of developing a disease. There's a problem. In addition, there are users who have difficulty in getting medical examinations for reasons of time and money, and such users cannot receive the benefits of the above-described conventional technology.

For this reason, it is considered that the above-described conventional techniques have room for improvement in terms of effectively supporting the user so that he/she can more easily know the risk of developing a disease.

The present application has been made in view of the above, and aims to effectively support users so that they can more easily know the risk of developing a disease.

A calculation program according to an aspect of the present invention includes, as measurement items related to physical strength, an item indicating flexibility and other items different from the item, each of which is a first measurement result obtained by measuring a subject. Based on an acquisition procedure for acquiring a measurement result, a second measurement result which is a measurement result obtained by measuring the user for the measurement item, and the first measurement result, the user is diagnosed with a predetermined disease. and a score calculation procedure for calculating a score that is an index of the risk of contracting the disease.

A calculation device according to an aspect of the present invention includes, as measurement items related to physical strength, an item indicating flexibility and other items different from the item, each of which is a first measurement result obtained by measuring a subject. Based on an acquisition unit that acquires a measurement result, a second measurement result that is a measurement result obtained by measuring the user for the measurement item, and the first measurement result, the user is diagnosed with a predetermined disease and a score calculation unit that calculates a score that is an index of the risk of contracting the disease.

In a calculation method according to an aspect of the present invention, as measurement items related to physical strength, an item indicating flexibility and other items different from the item are the first measurement results obtained by measuring subjects. Based on an acquisition step of acquiring a measurement result, a second measurement result that is a measurement result of the measurement item measured for the user, and the first measurement result, the user is diagnosed with a predetermined disease and a score calculation step of calculating a score that is an index of the risk of contracting.

According to the above aspect, for example, effective support can be provided so that the user can more easily know the risk of developing a disease.

FIG. 1 is a diagram showing an overview of information processing according to an embodiment. FIG. 2 is a diagram illustrating a configuration example of an information processing apparatus according to the embodiment; FIG. 3 is a diagram illustrating an example of a first measurement result database according to the embodiment; FIG. 4 is a diagram illustrating an example of a statistical information database according to the embodiment; FIG. 5 is a diagram illustrating an example of a second measurement result database according to the embodiment; FIG. 6 is a diagram illustrating a configuration example of an intermediary device according to the embodiment; FIG. 7 is a diagram illustrating a configuration example of a terminal device according to the embodiment; FIG. 8 is a flow chart showing a statistical processing procedure according to the embodiment. FIG. 9 is a flow chart showing a score calculation processing procedure according to the embodiment. FIG. 10 is a diagram illustrating an example of a personal sheet according to the embodiment; FIG. 11 is a block diagram illustrating a hardware configuration example of the information processing apparatus according to the embodiment;

An example of a form (hereinafter referred to as "embodiment") for implementing a calculation program, a calculation device, and a calculation method will be described in detail below with reference to the drawings. Note that the calculation program, calculation device, and calculation method are not limited by this embodiment. Also, in the following embodiments, the same parts are denoted by the same reference numerals, and overlapping descriptions are omitted.

[Embodiment]
[1. Introduction]
The inventors of the present invention have verified that the measurement results of specific measurement items, which are measured by a measurement method commonly used in physical fitness measurement, are correlated with lifestyle-related diseases. Specifically, the inventors of the present invention have proposed a measurement object measured by standing forward bending, a muscle strength to weight ratio indicating the ratio between grip strength measured by grip strength measurement and body weight measured by body weight measurement, eye closure Three measurement items, such as the time measured while standing on one leg, proved to be correlated with lifestyle-related diseases.

In addition, the inventors of the present invention have found a score calculation logic for calculating a physical score, which is an indicator of the risk of contracting a predetermined disease (e.g., lifestyle-related disease), using the correlation described above. . Therefore, the information processing realized in the system described below can be performed via an application installed in a terminal device such as a smartphone by applying a program in which the score calculation logic is implemented to various information processing devices. It realizes a service that allows users to know their physical scores.

In addition, the score calculation logic here is the measurement result of each of the items showing flexibility, the item showing muscle strength, and the item showing balance ability as measurement items related to physical strength. It corresponds to an algorithm for calculating a physical score based on statistical data generated from one measurement result. More specifically, the score calculation logic includes the statistical data generated from the first measurement result corresponding to each of these three physical fitness measurement items, and the measurements of the user for the three physical fitness measurement items. A user's susceptibility to lifestyle-related diseases is objectively evaluated by comparison with the result of the second measurement.

Therefore, according to a system constructed by incorporating a calculation program in which score calculation logic is implemented into a specific application, statistical data is generated from the first measurement result, and the second measurement result is received from the user. Accept input. Then, it becomes possible to realize a series of information processing in which the user's physical score is calculated by comparing the statistical data and the second measurement result, and the physical score is provided to the user via the application. .

[2. About measurement items]
As described above, the measurement items according to the embodiment are measurement items that are measured in a general physical fitness measurement, and correlation with lifestyle-related diseases such as an item showing flexibility, an item showing muscle strength, and an item showing balance ability. It shall be a three-item combination with proven compatibility.

Here, the item indicating flexibility is a measurement target measured by the standing body forward bending method. Corresponds to the item that indicates how far it can be refracted. Therefore, a measurement result in which an item indicating flexibility is measured is indicated by a positive value or a negative value.

In addition, the item indicating muscle strength is a muscle strength to body weight ratio that indicates the ratio of muscle strength to body weight. Corresponds to a calculated item. It should be noted that muscle strength does not necessarily have to be grip strength.

Also, the item indicating the balance ability corresponds to the time during which the subject can maintain the state of standing on one leg with the eyes closed, and is measured while standing on one leg with the eyes closed.

In the information processing according to the embodiment, the physical score is calculated by using these three items as measurement items related to physical fitness, but the measurement items related to physical fitness used to calculate the physical score are necessarily limited to combinations of these three items. not to be For example, the physical score may be calculated with any combination of the three items. For example, the physical score may be calculated using only the item indicating flexibility, or the physical score may be calculated using a combination of the item indicating flexibility and the item indicating muscle strength.

Also, the measurement items related to physical strength may be items measured in a physical fitness measurement performed as part of a health checkup, and may be provided together with various results of the health checkup, for example. On the other hand, the measurement items related to physical fitness may be items measured by physical fitness measurement that is performed independently from the physical examination.

[3. About the system]
Prior to describing a specific example of information processing according to the embodiment, first, a system according to the embodiment will be described using FIG. FIG. 1 is a diagram showing an overview of information processing according to an embodiment. FIG. 1 shows an information processing system 1 as an example of a system according to an embodiment. The information processing system 1 includes a data providing device 30 belonging to an organization A, an intermediary device 60 belonging to an organization B, an information processing device 100 belonging to an organization C, and terminal devices 10 used by users. The data providing device 30, the intermediary device 60, the information processing device 100, and the terminal device 10 are communicatively connected by wire or wirelessly via a predetermined network.

Organization A, organization B, and organization C are different organizations, but have a cooperative relationship. For example, the organization A may be a specific research institution, and according to the example of FIG. I am doing various researches. Further, the data providing device 30 may be a server device, and after processing the inspection results and measurement results provided by the inspection agency IA so that they can be easily utilized for information processing according to the embodiment, the information processing device 100 provide to

Organization B may be an organization that develops and manages an application (hereinafter abbreviated as “application AP”) related to physical score calculation. Also, the intermediary device 60 may be a server device, and mediates transmission and reception of information between the user's terminal device 10 and the information processing device 100 via the application AP. For example, the intermediary device 60 acquires the measurement result transmitted via the application AP by the user who wishes to be provided with the physical score, and provides the information processing device 100 with the acquired measurement result to calculate the physical score. . Further, the intermediary device 60 performs display control so that the physical score calculated by the information processing device 100 is displayed on the terminal device 10 via the application AP.

The organization C is an organization that attempts to build the information processing system 1 shown in FIG. 1 by implementing the above-described score calculation logic by programming and linking the resulting calculation program with the application AP. Also, in this embodiment, the score calculation logic is assumed to be introduced into the information processing apparatus 100 . As a result, the information processing apparatus 100 obtains the first measurement result, which is the measurement result of each of the item indicating flexibility, the item indicating muscle strength, and the item indicating balance ability, which is the measurement result of the subject, and A physical score, which is an index of the user's risk of contracting a lifestyle-related disease, is calculated based on a second measurement result, which is a measurement result obtained by measuring the user. In addition, in the present embodiment, the information processing apparatus 100 is described as being a server apparatus, but may be realized by a cloud. Also, the information processing device 100 corresponds to the calculation device according to the embodiment.

A user is a user who wishes to be provided with a physical score. Also, the terminal device 10 is an information processing terminal used by such a user. The terminal device 10 is, for example, a smart phone, a tablet terminal, a notebook PC (Personal Computer), a desktop PC, a mobile phone, a PDA (Personal Digital Assistant), or the like. In addition, the terminal device 10 is equipped with a web application (application related to physical score calculation) that operates on a browser, and provides the second measurement result input by the user under the control of the web application. For example, the terminal device 10 provides organization B with the second measurement result entered by the user by transmitting it to the intermediary device 60 . Below, the web application which concerns is described with "application AP." Note that the application AP may be implemented as an application dedicated to the information processing system 1 instead of a general-purpose web application.

[4. About information processing]
Subsequently, an overall flow of information processing according to an embodiment performed in the information processing system 1 will be described using FIG. Solid arrows shown in FIG. 1 indicate the flow of data provision, and dotted arrows indicate the flow of information processing based on the provided data.

According to the example of FIG. 1, the inspection agency IA conducts an annual physical examination for three measurement items related to physical fitness: an item showing flexibility, an item showing muscle strength, and an item showing balance ability. We are conducting physical fitness measurement for subjects. More specifically, the inspection agency IA measures the distance at which the body can be bent relative to the standard (an example of an item showing flexibility) by standing body forward bending, and grip strength and weight, which indicates the ratio of grip strength to body weight The ratio (an example of an item showing muscle strength) was measured by grip strength measurement and body weight measurement, and the physical fitness was measured by measuring the time it was possible to maintain the state of standing on one leg with eyes closed (an example of an item showing balance ability) while standing on one leg with eyes closed. Conducted once.

For this reason, the inspection agency IA provides the organization A with the measurement results themselves (that is, raw data) for each year, which are the first measurement results in which each of the three measurement items is the measurement result of the subject. (Step S11). Specifically, the inspection agency IA provides “flexibility data” (an example of the first measurement result), which is the measurement result of the item showing flexibility, and the measurement result of the item showing muscle strength. The organization A is provided with "muscle strength data" (an example of the first measurement results) and "balance data" (an example of the first measurement results), which are measurement results obtained by measuring items indicating balance ability.

The inspection agency IA may, for example, provide the first measurement result for each fiscal year in which the physical fitness measurement was performed, or may collectively provide the first measurement results for a plurality of years at a predetermined timing. In the example of FIG. 1, it is assumed that the inspection agency IA has provided the organization A with the first measurement results for the past six years from fiscal year 2018 for each year in which the physical fitness measurement was performed. For example, a person in charge belonging to the inspection agency IA transmits the first measurement result from a predetermined information processing terminal (for example, personal computer) to the data providing device 30 .

Note that the subject here may be, for example, a plurality of persons belonging to a specific group organization. For example, subjects may be multiple employees belonging to a certain company or multiple students belonging to a certain university.

The data providing device 30 processes the first measurement results for each year provided by the inspection agency IA so that they are in a state suitable for the physical score calculation logic (step S12). Specifically, the data providing device 30 processes flexibility data for the past several years, muscle strength data for the past several years, and balance data for the past several years, respectively, to protect the anonymity of the subject, Processing is performed to check consistency between measurement items and measurement results by matching data between years. It should be noted that the specific number of years of the past several years referred to here is not limited. For example, it may be for the past three years or for the past six years.

Further, the data providing device 30 provides the organization C with the processed first measurement result thus processed (step S13). Specifically, the data providing device 30 provides the organization C with the processed first measurement result by transmitting it to the information processing device 100 . Further, when the information processing apparatus 100 acquires the processed first measurement results provided from the data providing apparatus 30, the information processing apparatus 100 stores the acquired first measurement results in the first measurement result database 121 (FIG. 3). Note that the data providing device 30 may provide the information processing device 100 with the first measurement result as unprocessed raw data. The processing described in step S12 may be performed on the result.

Subsequently, the information processing apparatus 100 performs statistical processing on the processed first measurement result (step S14). Specifically, as the statistical processing, the information processing apparatus 100 performs cleansing processing for adjusting the processed first measurement result to a state suitable for the physical score calculation logic, and statistical processing of the processed first measurement result. Statistical data processing is performed to generate statistical data by calculating values. Specifically, the information processing apparatus 200 processes the processed flexibility data for the past several years, the processed muscle strength data for the past several years, and the processed balance data for the past several years as described above. Perform statistical processing.

More specifically, the information processing apparatus 100 performs cleansing processing on each of the processed flexibility data for the past several years, the processed muscle strength data for the past several years, and the processed balance data for the past several years. , merging processing for merging the data for each year into one data set, and extraction processing for extracting from the data set the data to be subjected to statistical processing used for generating statistical data.

Then, the information processing apparatus 100 calculates the statistical value of the flexibility data using the data subject to statistical processing extracted from the data set of the processed flexibility data. In addition, the information processing apparatus 100 calculates the statistical value of the muscle strength data using the data subject to statistical processing extracted from the data set of the processed muscle strength data. Further, the information processing apparatus 100 calculates the statistical value of the balance data using the data subject to statistical processing extracted from the data set of the processed balance data. In addition, the information processing apparatus 100 generates list information in which the statistical values of the first measurement results calculated for each measurement item in this way are listed as statistical data. The information processing apparatus 100 stores the generated statistical data in the statistical information database 122 (FIG. 4).

Here, while generating statistical data as described above, the information processing apparatus 100 asks the user about the three physical strength measurement items (flexibility item, muscle strength item, and balance ability item). It is determined whether or not the second measurement result, which is the measurement result obtained by measuring the target, has been received. The following description will focus on the flow until the information processing apparatus 100 determines that it has received the second measurement result.

In the example of FIG. 1, it is assumed that the user U1 who wishes to be provided with a physical score uses his/her own terminal device 10 to input the second measurement results obtained by measuring each of the three measurement items. Specifically, the user U1 receives "individual flexibility data" (an example of the second measurement result), which is the measurement result obtained by measuring the item indicating flexibility, and the measurement result obtained by measuring the item indicating muscle strength. A certain "personal muscle strength data" (an example of a second measurement result) and "individual balance data" (an example of a second measurement result), which is a measurement result obtained by measuring an item indicating balance ability, are input to the terminal device 10. shall be

In this case, the terminal device 10 provides the input second measurement result to the organization B under the control of the application AP (step S21). Specifically, the terminal device 10 provides the organization B with the input second measurement result by transmitting it to the intermediary device 60 .

Upon acquiring the second measurement result provided by user U1, mediation device 60 provides the acquired second measurement result to information processing device 100 (step S22). In such a case, the information processing apparatus 100 accepts the second measurement result from the intermediary apparatus 60, and as a result, determines that the second measurement result input by the user U1 has been accepted.

When the information processing apparatus 100 determines that the second measurement result has been received, the information processing apparatus 100 performs various controls based on the user information of the user U1 (step S23). For example, the information processing apparatus 100 acquires attribute information indicating the attributes of user U1 (for example, gender and age) as user information, and incorporates the acquired attribute information into statistical data (statistical data list information) ( step S23). The user information may be transmitted by the terminal device 10 together with the second measurement result, or the user information may be acquired in response to the information processing device 100 accepting the second measurement result. may

Next, using the user information as a key, the information processing apparatus 100 extracts statistical data corresponding to the user information from the listed statistical data (step S24). For example, the information processing apparatus 100 extracts statistical data associated with attribute information acquired as user information.

Next, the information processing apparatus 100 compares the statistical value indicated by the extracted statistical data with the second measurement result provided by the user U1. A physical score is calculated (step S25). Specifically, the information processing apparatus 100 applies the extracted statistical The physical score of user U1 is calculated by applying the statistical value indicated by the data and the second measurement result provided by user U1.

Further, the information processing device 100 provides the physical score to the mediation device 60 so that the calculated physical score is displayed on the terminal device 10 via the application AP (step S26).

Upon receiving the physical score provided from the information processing device 100, the intermediary device 60 performs display control so that the received physical score is displayed on the terminal device 10 via the application AP (step S27). For example, the intermediary device 60 displays "individual flexibility data", "individual muscle strength data", and "individual balance data" as the second measurement results provided by the user U1, together with the data regarding the physical score. Generate personal sheets.

The intermediary device 60 then provides the generated personal sheet to the user U1 (step S28). Specifically, the intermediary device 60 provides the user U1 with the generated personal sheet by transmitting it to the terminal device 10 .

Further, when the terminal device 10 accepts the personal sheet provided from the intermediary device 60, the terminal device 10 displays the personal sheet within the screen corresponding to the application AP. Thereby, the user U1 can know his own physical score. Specifically, the user U1 learns, as a physical score, how likely the user is to develop a lifestyle-related disease compared to subjects similar to himself (e.g., subjects of the same sex and age). be able to.

Information processing apparatus 100 may further calculate the deviation value of the physical score, and by providing this deviation value to intermediary device 60 together with the physical score, not only the physical score but also the deviation value can be provided to user U1. You can control the return. A deviation value calculation method will be described later.

Now, the overall image of the information processing according to the embodiment performed in the information processing system 1 has been described with reference to FIG. As described with reference to FIG. 1, in the information processing system 1, the first measurement results are collected from the data providing device 30 so that the information processing device 100 can calculate the physical score. A second measurement result input via the AP is obtained via the intermediary device 60 . Further, in such a state, the information processing apparatus 100 calculates the user's physical score based on the first measurement result and the second measurement result under the control of the calculation program programmed based on the score calculation logic. , returns the calculated physical score to the user.

According to such information processing, the user can know the risk of lifestyle-related diseases without having to examine and measure many items in a health checkup or collect blood. In addition, according to such information processing, even if it is difficult to undergo a medical examination in the first place due to time or financial reasons, it is possible to improve lifestyle habits by preparing the measurement results for the three measurement items. Know your risk of disease. Therefore, the calculation program according to the embodiment can effectively support the user to easily know the risk of developing a lifestyle-related disease.

[5. Configuration of Information Processing Device]
Next, the information processing apparatus 100 according to the embodiment will be described using FIG. FIG. 2 is a diagram illustrating a configuration example of the information processing apparatus 100 according to the embodiment. As shown in FIG. 2, the information processing apparatus 100 has a communication section 110, a storage section 120, and a control section .

(Regarding communication unit 110)
The communication unit 110 is realized by, for example, a NIC (Network Interface Card) or the like. The communication unit 110 is connected to a network by wire or wirelessly, and transmits and receives information to and from the data providing device 30 and the intermediary device 60, for example.

(Regarding storage unit 120)
The storage unit 120 is realized by, for example, a RAM (Random Access Memory), a semiconductor memory device such as a flash memory, or a storage device such as a hard disk or an optical disk. Storage unit 120 has first measurement result database 121 , statistical information database 122 , and second measurement result database 123 .

(Regarding the first measurement result database 121)
The first measurement result database 121 stores a first measurement result, which is a measurement result obtained by measuring a test subject for each measurement item related to physical strength. Here, FIG. 3 shows an example of the first measurement result database 121 according to the embodiment. The first measurement result database 121 shown in FIG. 3 has items such as "year", "sex", "age", "subject ID (Identifier)", and "first measurement result". Specifically, the first measurement result database 121 stores the first measurement results by year (for example, by year for the past six years from FY2018), and in the example of FIG. Information about a first measurement result in a physical fitness test performed at 10:00 is shown as an example.

The "year" is information indicating in what year the corresponding "first measurement result" was obtained from the physical fitness test. "Gender" is information about the sex of the subject. "Age" is information about the age of the subject. "Subject ID" is identification information for identifying a subject.

"Flexibility data" is a measurement result obtained by measuring the distance at which the body can be flexed with respect to the reference (an example of an item showing flexibility) by a standing body forward bending method, and is one of the first measurement results is. “Muscular strength data” is the result of calculating a grip strength to body weight ratio (an example of an item indicating muscle strength) that indicates the ratio of grip strength to body weight, and is one of the first measurement results. “Balance data” is a measurement result obtained by measuring the time required to maintain one-legged standing with eyes closed (an example of items showing balance ability) using the one-legged standing technique with eyes closed, and is one of the first measurement results. Also, as shown in FIG. 3, the first measurement results are composed of measurement results obtained by a plurality of subjects for each of the three measurement items.

That is, in the example of FIG. 3, a person of gender “male” and age “20” who became a subject by participating in the physical fitness measurement in “2018” is identified by the subject ID “H11”. , a measurement value of "#SP111" was obtained as the measurement result (flexibility data) of standing forward bending measurement, and a measurement value of "#SP112" was obtained as the measurement result (muscle strength data) of grip strength measurement and body weight measurement. An example is shown in which a measurement value "#SP113" is obtained as a measurement result (balance data) of standing on one leg with eyes closed.

In the example of FIG. 3, the measurement result is conceptually expressed as "#SP111", but in reality, valid numerical values corresponding to the measurement items are stored.

(Regarding the statistical information database 122)
The statistical information database 122 stores information on statistical values of the first measurement results ("flexibility data", "muscular strength data", and "balance data") for each measurement item. The statistical information database 122 stores, for example, statistical data obtained as a result of a series of statistical processing such as cleansing processing and statistical data processing. Here, FIG. 4 shows an example of the statistical information database 122 according to the embodiment. The statistical information database 122 shown in FIG. 4 has items such as "sex", "measurement items", and "age".

"Gender" is information about the sex of the subject. "Measurement item" is a measurement item related to physical fitness. "Age" is information about the age of the subject.

According to the example of FIG. 4, "statistical value #M301" is entered in the area specified by the combination of gender "male", measurement item "flexibility", and age "30". An example of this is the measurement result of measuring the item indicating flexibility (the distance at which the body can be bent relative to the reference) for each subject having a combination of attributes of gender “male” and age “30 years old”, that is, flexibility data is extracted from the first measurement result database 121, and the statistic value calculated from the extracted flexibility data is conceptually indicated by "statistic value #M301".

It should be noted that this statistic value associated with the combination of attributes and the item indicating flexibility is the average value obtained by averaging the flexibility data obtained for each subject belonging to each group of age and sex , the standard deviation indicated by the flexibility data, and the principal component scores obtained by subjecting the flexibility data to principal component analysis.

Further, according to the example of FIG. 4, "statistical value #M302" is entered in the region identified by the combination of gender "male", measurement item "muscle strength", and age "30". In this example, for each subject having a combination of attributes of gender “male” and age “30 years old”, muscle strength data is extracted from the first measurement result database 121. and the statistic value calculated from the extracted muscle strength data is conceptually indicated by "statistic value #M302".

It should be noted that this statistical value associated with the combination of attributes and the item indicating muscle strength is the average value obtained by averaging the muscle strength data obtained for each subject belonging to each age and sex group, or The standard deviation indicated by this muscle strength data and principal component scores obtained by subjecting this muscle strength data to principal component analysis are shown.

Further, according to the example of FIG. 4, "statistical value #M303" is entered in the area specified by the combination of gender "male", measurement item "balance ability", and age "30". An example of this is the measurement result of measuring the item indicating the balance ability (time to maintain one leg standing with eyes closed) for each subject having a combination of attributes of gender “male” and age “30 years old”, that is, balance data. An example is shown in which statistical values extracted from the first measurement result database 121 and calculated from the extracted balance data are conceptually indicated by "statistical value #M303".

It should be noted that this statistical value associated with the combination of attributes and the item indicating the balance ability is the average value obtained by averaging the balance data obtained for each subject belonging to each group of age and sex, In addition, the standard deviation indicated by this balance data and the principal component scores obtained by subjecting this balance data to principal component analysis are also shown.

Although not shown in FIG. 4, the statistical information database 122 may further store an average physical score obtained for each subject belonging to each combination of attributes. In addition, the statistical information database 122 may further store the standard deviation indicating the physical score obtained for each subject belonging to each combination of attributes.

(Regarding the second measurement result database 123)
The second measurement result database 123 stores a second measurement result, which is a measurement result obtained by measuring a user for each measurement item related to physical fitness. Here, FIG. 5 shows an example of the second measurement result database 123 according to the embodiment. The second measurement result database 123 shown in FIG. 5 has items such as "reception date and time", "user ID (Identifier)", "user information", and "second measurement result".

The "receipt date and time" is information related to the date and time when the "second measurement result" was received. "User ID" indicates identification information for identifying the user who has input the "second measurement result" or the terminal device 10 of the user. "User information" is various information about the user, and may include attribute information indicating the attributes of the user (for example, gender and age).

“Individual flexibility data” is the result of measuring the distance at which the body can be flexed against the standard (an example of an item that indicates flexibility) measured by the standing body forward bending method for individual users. 2 measurement results. "Individual muscle strength data" is the result of calculating the grip strength to body weight ratio (an example of an item indicating muscle strength) indicating the ratio of grip strength to body weight for an individual user, and is one of the second measurement results. . "Balance data" is a measurement result obtained by measuring the time required to maintain the state of standing on one leg with eyes closed (an example of an item showing balance ability) for an individual user using the method of standing on one leg with eyes closed, and the second measurement result. is one of

That is, in the example of FIG. 5, the user (user U1) identified by the user ID "U1" has "#N11" as the measurement result (personal flexibility data) of the standing forward bending measurement. A measurement value of "#N12" was obtained as the measurement result (individual muscle strength data) of grip strength measurement and body weight measurement, and "#N12" was obtained as the measurement result of standing on one leg with closed eyes (individual balance data). An example in which a measured value of "N13" was obtained is shown. Also, the example of FIG. 5 shows an example in which user U1 registers "user information #11" as his/her own user information in application AP. Further, the example of FIG. 6 shows an example in which the information processing apparatus 100 receives the “second measurement result” input (provided) by the user U1 at the reception date and time “date and time D1”.

In the example of FIG. 5, the measurement result is conceptually represented as "#N11", but in reality, valid numerical values corresponding to the measurement items are stored.

(Regarding the control unit 130)
Returning to FIG. 2, the control unit 130 controls various programs (for example, the calculation program according to the embodiment) stored in the storage device inside the information processing apparatus 100 by a CPU (Central Processing Unit), an MPU (Micro Processing Unit), or the like. ) is executed using the RAM as a work area. Also, the control unit 130 is implemented by an integrated circuit such as an ASIC (Application Specific Integrated Circuit) or an FPGA (Field Programmable Gate Array).

As shown in FIG. 2, the control unit 130 includes an acquisition unit 131, a statistics calculation unit 132, a reception unit 133, a score calculation unit 134, and a provision unit 135, and has the following information processing functions. achieve or perform any action. Note that the internal configuration of the control unit 130 is not limited to the configuration shown in FIG. 2, and may be another configuration as long as it performs the information processing described later. Moreover, the connection relationship between the processing units of the control unit 130 is not limited to the connection relationship shown in FIG. 2, and may be another connection relationship.

(Regarding the acquisition unit 131)
Acquisition unit 131 acquires first measurement results, which are measurement results obtained by measuring, as measurement items related to physical strength, an item indicating flexibility and other items different from the item, each of which is measured on a subject. For example, the acquiring unit 131 acquires the first measurement result including the measurement result of at least one of the item indicating muscle strength and the item indicating balance ability as other items. In the present embodiment, the acquisition unit 131 obtains the first measurement, which is the measurement result obtained by measuring each of the three measurement items, that is, the item indicating flexibility, the item indicating muscle strength, and the item indicating balance ability. Get results.

According to the example of FIG. 1, the acquisition unit 131 acquires “flexibility data” ( An example of the first measurement result), "muscle strength data" (an example of the first measurement result), which is the result of calculating an item showing muscle strength (grip strength to body weight ratio), an item showing balance ability (state of standing on one leg with eyes closed) "balance data" (an example of the first measurement result), which is the measurement result of the time during which the balance can be maintained by standing on one leg with the eyes closed, is obtained. More specifically, the acquisition unit 131 obtains the first measurement results obtained by measuring each subject for each of these three measurement items, and the processed first measurement results processed by the data providing device 30. Get measurement results. For example, the acquiring unit 131 acquires the processed first measurement result provided by the data providing device 30 .

(Regarding the statistical calculation unit 132)
As the first measurement result, the statistical calculation unit 132 calculates the statistical value of the first measurement result for each measurement item based on the measurement results obtained by measuring physical fitness-related measurement items for a plurality of subjects. For example, the statistical calculation unit 132 calculates statistical values for each predetermined attribute corresponding to the subject. Further, for example, the statistical calculation unit 132 calculates the average value of the first measurement results, the standard deviation indicated by the first measurement results, and the first measurement results as statistical values of the first measurement results for each measurement item. A principal component score, which is the result of principal component analysis for , is calculated.

According to the example of FIG. 1, the statistical calculation unit 132 applies the processed first measurement result to the physical score calculation logic as statistical processing for calculating various statistical values such as the average value, the standard deviation, and the principal component score. and statistical data processing for generating statistical data by calculating statistical values for the first measurement result after the cleansing processing.

For example, the statistic calculation unit 132 calculates the statistic values (average value, standard deviation, principal component score) of the flexibility data using the data subject to statistical processing extracted from the data set of the processed flexibility data. In addition, the statistical calculation unit 132 calculates statistical values (average value, standard deviation, principal component score) of the muscle strength data using data subject to statistical processing extracted from the data set of the processed muscle strength data. Also, the statistical calculation unit 132 calculates the statistical values (average value, standard deviation, principal component score) of the balance data using the data subject to statistical processing extracted from the data set of the processed balance data.

(Regarding the reception unit 133)
The reception unit 133 receives a second measurement result, which is a measurement result obtained by measuring a user for a measurement item related to physical strength. For example, when the user inputs the second measurement item via the application AP, the reception unit 133 receives the input second measurement result. For example, the reception unit 133 receives the second measurement result by transferring the second measurement item input by the user via the mediation device 60 .

(Regarding the score calculation unit 134)
The score calculator 134 calculates the user's physical score according to the score calculation logic. A conceptual explanation of the score calculation logic is as follows.

Specifically, the score calculation unit 134 calculates a first measurement result, which is a measurement result of a test subject for a measurement item related to physical strength, and a measurement result of a user, which is a measurement item related to physical strength. A physical score, which is an index of the user's risk of contracting a predetermined disease, is calculated based on a certain second measurement result. For example, the score calculator 134 calculates a physical score based on a comparison between the statistical value calculated by the statistical calculator 132 and the second measurement result. Also, for example, the score calculation unit 134 calculates a physical score based on a comparison between the statistical value corresponding to the attribute of the user among the statistical values for each predetermined attribute and the second measurement result.

Specifically, the score calculation unit 134 calculates the average value corresponding to the attribute of the user among the statistical values of the first measurement result, and the standard deviation corresponding to the attribute of the user among the statistical values of the first measurement result Based on this, an evaluation value that evaluates the degree of deviation between this average value and the second measurement result is calculated for each measurement item, and each of the calculated evaluation values is calculated for the measurement item corresponding to the evaluation value. A physical score is calculated by normalizing with the principal component score and adding each evaluation value after normalization. For example, the score calculation unit 134 calculates, as a physical score, a score that serves as an indicator of the susceptibility of the user to lifestyle-related diseases in comparison with subjects similar to the user among the subjects.

Here, the above score calculation logic can be represented by Equation (1). That is, the score calculation unit 134 calculates the average value, standard deviation, and principal component corresponding to the attribute of the user among the statistical values of the first measurement result for each measurement item calculated for each attribute of the subject by the statistics calculation unit 132. The user's physical score is calculated by applying each of the score and the second measurement result input by the user to the equation (1).

(Formula 1) SC=C1×(V1−x ₁ )/s1+C2×(V2−x ₂ )/s2+C3×(V3−x ₃ )/s3

"SC" indicates the physical score of the user. "V1" indicates a measurement value obtained by measuring a user for an item indicating muscle strength (grip strength to body weight ratio), and corresponds to the results of grip strength measurement and body weight measurement. “V2” indicates the measurement value of the item indicating the balance ability (the time during which the user can maintain the state of standing on one leg with the eyes closed), and corresponds to the measurement result of the method of standing on one leg with the eyes closed. "V3" indicates the measured value of the item indicating flexibility (the distance that the body can be bent relative to the reference) measured for the user, and corresponds to the measurement result measured by the standing body forward bending method. do.

"C1" corresponds to the attribute of the user (e.g., matching or similar ) indicates the principal component score. "C2" indicates the principal component score corresponding to the attribute of the user among the principal component scores for the balance data obtained for each subject having the attribute for each attribute of the subject. "C3" indicates the principal component score corresponding to the user's attribute among the principal component scores for flexibility data obtained for each subject having that attribute for each subject's attribute.

“x ₁ ” corresponds to the attribute of the user (matching or similar ) indicates the average value. “x ₂ ” indicates the average value corresponding to the attribute of the user among the average values of the balance data obtained for each subject having that attribute for each attribute of the subject. “x ₃ ” indicates the average value corresponding to the attribute of the user among the average values of the flexibility data obtained for each subject having that attribute for each attribute of the subject.

"s1" corresponds to the attribute of the user (matches or similar ) indicates the standard deviation. "s2" indicates the standard deviation corresponding to the attribute of the user among the standard deviations indicating the balance data obtained for each subject having the attribute for each attribute of the subject. "s3" indicates the standard deviation corresponding to the attribute of the user among the standard deviations indicated by the flexibility data obtained for each subject having that attribute for each attribute of the subject.

Here, in the formula (1), “(V1−x ₁ )/s1” is the average value “x ₁ ” obtained by averaging the muscle strength data of the subject group having the attribute corresponding to the attribute of the user, and the user shows an evaluation value for evaluating the degree of divergence from the individual muscle strength data "V1". In addition, in formula (1), "(V2-x ₂ )/s2" is the average value "x ₂ " of the balance data of the subject group having the attribute corresponding to the user's attribute, and the user's It shows an evaluation value for evaluating the degree of divergence from the individual balance data "V2". Further, in formula (1), “(V3−x ₃ )/s3” is the average value “x ₃ ” that averages the flexibility data of the subject population having attributes corresponding to the attributes of the user, and the user indicates an evaluation value for evaluating the degree of deviation from the individual flexibility data "V3".

In addition, the measurement result of the item showing grip strength, the measurement result of the item showing balance ability, and the measurement result of the item showing flexibility are different in units. For this reason, in order to calculate a physical score as a total score by properly adding each evaluation value, the principal component scores "s1", "s2", and "s3" are set to the corresponding evaluation values as shown in Equation (1). Each evaluation value is normalized by multiplying.

Moreover, the score calculation unit 134 may further calculate a deviation value corresponding to the physical score using the physical score calculated as described above. For example, the score calculation unit 134 applies the physical score of the user who provided the second measurement result and the information on the physical score calculated for each attribute of the subject to the following equation (2). , the deviation value DV corresponding to the physical score of the user who provided the second measurement result can be calculated.

(Formula 2) DV = ((SC-AV)/SD) x 10 + 50

"SC" indicates the user's physical score, which is calculated by Equation (1). "AV" indicates the average value corresponding to the attribute of the user among the average values of the physical scores obtained for each subject having that attribute for each attribute of the subject (for example, a combination of attributes of gender and age). . "SD" indicates the standard deviation corresponding to the attribute of the user among the standard deviations of the physical scores obtained for each subject having the attribute for each attribute of the subject (for example, a combination of attributes such as sex and age). .

(Regarding the providing unit 135)
The provision unit 135 provides the physical score to the mediation device 60 so that the physical score calculated by the score calculation unit 134 is displayed on the terminal device 10 via the application AP.

[6. Configuration of Intermediary Device]
Next, the intermediary device 60 according to the embodiment will be described using FIG. FIG. 6 is a diagram showing a configuration example of the intermediary device 60 according to the embodiment. As shown in FIG. 6 , the intermediary device 60 has a communication section 61 , a storage section 62 and a control section 63 .

(Regarding communication unit 61)
The communication unit 61 is implemented by, for example, a NIC. The communication unit 61 is connected to a network by wire or wirelessly, and transmits and receives information to and from the terminal device 10 and the information processing device 100, for example.

(Regarding the storage unit 62)
The storage unit 62 is implemented by, for example, a semiconductor memory device such as a RAM or flash memory, or a storage device such as a hard disk or an optical disk. The storage unit 62 has a personal information database 62a. The personal information database 62a stores, for example, user information related to each user.

(Regarding the control unit 63)
The control unit 63 is realized by executing various programs stored in the storage device inside the intermediation device 60 by the CPU, MPU, etc., using the RAM as a work area. Also, the control unit 63 is implemented by an integrated circuit such as an ASIC or FPGA, for example.

As shown in FIG. 6, the control unit 63 includes an acquisition unit 63a, a provision unit 63b, a reception unit 63c, and a display control unit 63d, and realizes or executes information processing functions and actions described below. do. Note that the internal configuration of the control unit 63 is not limited to the configuration shown in FIG. 6, and may be another configuration as long as it performs information processing to be described later. Further, the connection relationship between the processing units of the control unit 63 is not limited to the connection relationship shown in FIG. 6, and may be another connection relationship.

(Regarding the acquisition unit 63a)
The acquisition unit 63a acquires the second measurement result provided by the user. For example, when the user inputs the second measurement item via the application AP, the acquisition unit 63a acquires the second measurement item transmitted from the terminal device 10 in response to the input.

(Regarding the providing unit 63b)
The providing unit 63b provides the information processing apparatus 100 with the second measurement item acquired by the acquiring unit 63a.

(Regarding the reception unit 63c)
Accepting unit 63 c accepts the physical score provided from information processing apparatus 100 .

(Regarding the display control section 63d)
The display control unit 63d performs display control so that the physical score received by the receiving unit 63c is displayed on the terminal device 10 via the application AP. For example, the display control unit 63d controls such that "individual flexibility data", "individual muscle strength data", and "individual balance data" as the second measurement results provided by the user are displayed together with data regarding physical scores. Generate personal sheets. For example, the display control unit 63d displays the distribution of the number of people for each physical score, and the group to which the physical score calculated for the user currently being processed belongs among the groups of the distribution of the number of people divided by physical score. Generate personal sheets. Then, the display control unit 63d provides the generated personal sheet to the user. The information processing device 100 may have a processing unit corresponding to the display control unit 63d, and the display control may be performed on the information processing device 100 side.

[7. Configuration of terminal device]
Next, the terminal device 10 according to the embodiment will be described using FIG. FIG. 7 is a diagram showing a configuration example of the terminal device 10 according to the embodiment. As shown in FIG. 7 , the terminal device 10 has a communication section 11 , an input section 12 , a display section 13 and an application control section 14 .

(Regarding communication unit 11)
The communication unit 11 is implemented by, for example, a NIC. The communication unit 11 is connected to the network by wire or wirelessly, and transmits and receives information to and from the intermediary device 60, for example.

(Regarding the input unit 12 and the display unit 13)
The input unit 12 includes input devices such as a touch panel, a keyboard, and a mouse, and receives input of various data according to user's operations. Then, the input unit 12 outputs various types of input data to the application control unit 14 . The display unit 13 is configured by a display using liquid crystal, organic EL (Electro Luminescence), or the like, and displays various types of information under the control of the application control unit 14 .

(Regarding the application control unit 14)
The application control unit 14 is realized by executing various programs (for example, a program corresponding to the application AP) stored in the storage device inside the terminal device 10 by the CPU, MPU, etc., using the RAM as a work area. . Also, the terminal device 10 is implemented by an integrated circuit such as an ASIC or FPGA, for example.

As shown in FIG. 7, the application control unit 14 includes a provision unit 14a, a reception unit 14b, and a display control unit 14c, and implements or executes information processing functions and actions described below. Note that the internal configuration of the application control unit 14 is not limited to the configuration shown in FIG. 7, and may be another configuration as long as it performs information processing described later. Further, the connection relationship between the processing units included in the application control unit 14 is not limited to the connection relationship shown in FIG. 7, and may be another connection relationship.

(Regarding the providing unit 14a)
The providing unit 14a provides the input second measurement result to the organization B under the control of the application AP. Specifically, the providing unit 14 a provides the organization B with the input second measurement result by transmitting it to the intermediary device 60 .

(Regarding the reception unit 14b)
The reception unit 14b receives information about physical scores. For example, the reception unit 14b receives a personal sheet provided from the mediation device 60. FIG.

(Regarding the display control unit 14c)
The display control unit 14c causes the display unit 13 to display the information received by the receiving unit 14b. For example, when the reception unit 14b receives the personal sheet, the display control unit 14c displays the personal sheet in the screen corresponding to the application AP.

[8. Processing procedure]
Next, procedures for information processing performed by the information processing apparatus 100 will be described with reference to FIGS. 8 and 9. FIG. FIG. 8 describes a series of statistical processing procedures for generating statistical data from the first measurement results. Further, FIG. 9 describes the procedure of calculation processing for calculating the physical score according to the score calculation logic.

[8-1. Processing procedure (1)]
First, the procedure of statistical processing will be described with reference to FIG. FIG. 8 is a flow chart showing a statistical processing procedure according to the embodiment. In the example of FIG. 8, it is assumed that the data providing device 30 provides the information processing device 100 with the first measurement results for a predetermined period. Specifically, the data providing device 30 processes the flexibility data, muscle strength data, and balance data for the past several years from 2018 (processing to protect the anonymity of the subject, data between years are compared to each other to confirm consistency between the measurement item and the measurement result), and the processed first measurement result is provided to the information processing apparatus 100 .

In such a state, the statistics calculator 132 performs statistical processing on the processed first measurement results. For example, the statistics calculator 132 performs statistical processing including cleansing processing and statistical data processing. In the example of FIG. 8, the statistics calculation unit 132 performs cleansing processing in steps S101 to S106 to adjust the processed first measurement result to a state suitable for the physical score calculation logic. The statistical calculation unit 132 also performs statistical data processing for generating statistical data by calculating statistical values using the first measurement results after the cleansing process in steps S107 to S110.

The cleansing process is composed of a combination process of combining data for each year into one data set, and an extraction process of extracting from the data set data to be subjected to statistical processing to be used for generating statistical data. Specifically, first, the acquisition unit 131 imports the first measurement results for each year acquired from the data providing device 30 into the statistics calculation unit 132 (step S101).

As a cleansing process, the statistics calculation unit 132 then performs a combining process of combining the imported first measurement results by year into one data set (step S102). For example, in the example of FIG. 3, the first measurement results for each year are individually stored for each year. Therefore, the statistical calculation unit 132 combines the first measurement results individually prepared for each year into one data set.

From then on, the statistic calculation unit 132 performs extraction processing. For example, the statistics calculation unit 132 determines that the processed first measurement results included in the data set are three measurement items (a flexibility item, a muscle strength item, and a balance ability item). Measurement results that do not satisfy the conditions for statistical processing are excluded step by step from among the measurement results for each subject measured for each subject. Then, the statistical calculation unit 132 narrows down the first measurement results that satisfy the conditions for statistical processing.

Specifically, following step S102, the statistic calculation unit 132 determines whether or not the measurement result of the physical strength measurement for all three measurement items is included for each first measurement result of each subject. (step S103). Specifically, the statistics calculation unit 132 determines whether or not the first measurement result of each subject is composed of flexibility data, muscle strength data, and balance data. Then, the statistical calculation unit 132 excludes the first measurement results determined not to be composed of the flexibility data, the muscle strength data, and the balance data (step S103; No). is adopted as it is (Step S103; Yes).

Next, the statistics calculation unit 132 determines that all of the flexibility data, muscle strength data, and balance data that constitute the first measurement result are within the range for each first measurement result of each subject that was not excluded in step S103. (step S104). Then, the statistical calculation unit 132 excludes the first measurement results for which at least one of the flexibility data, the muscle strength data, and the balance data is determined to be out of range (step S104; No). The first measurement result determined that all the balance data are within the range is adopted as it is (step S104; Yes).

Next, the statistic calculation unit 132 determines whether or not each first measurement result of each subject not excluded in step S104 is the measurement result of the physical fitness measurement performed in a predetermined year within the past six years from FY2018. is determined (step S105). Then, the statistical calculation unit 132 excludes the first measurement result determined not to be the measurement result of the physical fitness measurement performed in the predetermined year (step S105; No), and excludes the measurement result of the physical fitness measurement performed in the predetermined year. The first measurement result determined to be is adopted as it is (step S105; Yes).

In addition, the statistics calculation unit 132 determines whether or not each first measurement result of each subject not excluded in step S105 corresponds to a subject aged 30 to 69 (step S106). . Then, the statistical calculation unit 132 excludes the first measurement results determined not to be the measurement results corresponding to the subjects aged 30 to 69 (step S106; No), and corresponds to the subjects aged 30 to 69. The first measurement result determined to be the measurement result is adopted as it is (step S106; Yes).

According to the example of FIG. 8, the first measurement results that remain without being excluded until step S106 are the first measurement results that satisfy the conditions for statistical processing, and the statistics calculation unit 132 remains until the end. Statistical data processing is performed using the obtained first measurement result.

As statistical data processing, first, the statistical calculation unit 132 calculates the average value of the first measurement results corresponding to each of the three measurement items in each pair of age and sex (combination of attributes) ( step S107). Specifically, the statistical calculation unit 132 calculates the average value of the flexibility data from the flexibility data obtained for each subject belonging to each age and sex group. In addition, the statistical calculation unit 132 calculates an average value of muscle strength data from the muscle strength data obtained for each subject belonging to each age and sex group. In addition, the statistical calculation unit 132 calculates the average value of the balance data from the balance data obtained for each subject belonging to each group of age and sex.

Furthermore, the statistical calculation unit 132 calculates the standard deviation of the first measurement results corresponding to each of the three measurement items in each pair of age and sex (combination of attributes) (step S108). Specifically, the statistical calculation unit 132 calculates the standard deviation indicated by the flexibility data from the flexibility data obtained for each subject belonging to each age and sex group. In addition, the statistical calculation unit 132 calculates the standard deviation indicated by the muscle strength data from the muscle strength data obtained for each subject belonging to each group of age and sex. In addition, the statistical calculation unit 132 calculates the standard deviation indicated by the balance data from the balance data obtained for each subject belonging to the group for each group of age and sex.

Furthermore, the statistics calculation unit 132 performs principal component analysis on the first measurement results corresponding to each of the three measurement items in each pair of age and sex (combination of attributes), A principal component score is calculated for each measurement item in the set (step S109). Specifically, the statistical calculation unit 132 calculates a principal component score for each age-sex pair by performing principal component analysis on flexibility data obtained for each subject belonging to the pair. In addition, the statistical calculation unit 132 calculates a principal component score for each age-sex pair by performing principal component analysis on muscle strength data obtained for each subject belonging to the pair. In addition, the statistics calculation unit 132 calculates a principal component score for each pair of age and sex by performing principal component analysis on the balance data obtained for each subject belonging to the pair.

As a result of performing steps S107 to S109 by the statistical calculation unit 132, the statistical information database 122 configured as shown in FIG. 4, for example, is obtained. Also, the order of the processing shown in steps S107 to S109 is merely an example, and the order may be random.

Finally, the statistical calculation unit 132 uses the statistical values of the first measurement results calculated for each measurement item for each pair of age and sex in steps S107 to S109, and lists these statistical values as statistical data. list information (physical score calculation table) is generated (step S110). Also, the statistics calculation unit 132 can output the generated list information to the score calculation unit 134 .

[8-2. Processing procedure (2)]
Next, the procedure of calculation processing for calculating the physical score will be described with reference to FIG. 9 . FIG. 9 is a flow chart showing a score calculation processing procedure according to the embodiment.

First, the receiving unit 133 determines whether or not the second measurement result provided by the user has been received (step S201). While the reception unit 133 determines that the second measurement result has not been received (step S201; No), it waits until it can be determined that the second measurement result has been received.

On the other hand, when the reception unit 133 has received the second measurement result (step S201; Yes), the score calculation unit 134 reads the physical score calculation table (step S202).

Next, the score calculation unit 134 acquires, for example, attribute information indicating attributes of the user (eg, gender and age) as the user information of the user who provided the second measurement result, and converts the acquired attribute information to It is loaded into the physical score calculation table (step S203).

Then, the score calculation unit 134 selects the attribute group ( Statistical values corresponding to age and sex pairs) are extracted (step S204).

Specifically, the score calculation unit 134 calculates the average value “x ₃ ” corresponding to the attribute group of the user among the average values of muscle strength data obtained for each subject having the attribute group for each attribute group of the subject. to extract In addition, the score calculation unit 134 extracts the average value “x ₂ ” corresponding to the attribute group of the user among the average values of the balance data obtained for each subject having the attribute group for each attribute group of the subject. . In addition, the score calculation unit 134 extracts the average value “x ₃ ” corresponding to the attribute group of the user among the average values of the flexibility data obtained for each subject having the attribute group for each attribute group of the subject. do.

Furthermore, the score calculation unit 134 extracts the standard deviation “s1” corresponding to the attribute set of the user among the standard deviations indicated by muscle strength data obtained for each subject having the attribute set for each attribute set of the subject. In addition, the score calculation unit 134 extracts the standard deviation “s2” corresponding to the attribute group of the user among the standard deviations indicated by the balance data obtained for each subject having the attribute group for each attribute group of the subject. . In addition, the score calculation unit 134 extracts the standard deviation "s3" corresponding to the user's attribute group among the standard deviations indicated by the flexibility data obtained for each subject having the attribute group for each subject's attribute group. do.

Furthermore, the score calculation unit 134 extracts the principal component score "C1" corresponding to the user's attribute group among the principal component scores for muscle strength data obtained for each subject having the attribute group for each subject's attribute group. do. In addition, the score calculation unit 134 extracts the principal component score “C2” corresponding to the attribute group of the user among the principal component scores for the balance data obtained for each subject having the attribute group for each attribute group of the subject. do. In addition, the score calculation unit 134 calculates the principal component score "C3" corresponding to the user's attribute group among the principal component scores for the flexibility data obtained for each subject having the attribute group for each subject's attribute group. Extract.

Then, the score calculator 134 calculates a physical score based on comparison between each statistical value extracted in step S24 and the second measurement result (step S205). Specifically, the score calculation unit 134 calculates the measurement value “V1” for the item indicating muscle strength (grip strength to body weight ratio) measured for the user, and the item indicating balance ability Time) is the measurement value "V2" measured for the user, and the item showing flexibility (the distance at which the body can be bent relative to the reference) is the measurement value "V3" measured for the user. (1) and also sampled mean values (“x ₁ ”, “x ₂ ” and “x ₃ ”), sampled standard deviations (“s1”, “s2” and “s3”), sampled By applying the principal component scores (“C1”, “C2” and “C3”) to Equation (1), the user's physical score “SC” is calculated.

The score calculation unit 134 also applies the physical score "SC" calculated in step S205 to Equation (2) to calculate the standard deviation corresponding to the physical score "SC" (step S206).

Finally, the providing unit 135 provides the physical score to the mediation device 60 so that the information regarding the physical score calculated by the score calculating unit 134 is displayed on the terminal device 10 via the application AP (step S207). For example, the providing unit 135 provides the mediation device 60 with at least one of the physical score calculated by the score calculating unit 134 and the deviation value so that it is displayed.

Also, although not shown in FIG. 9, when the reception unit 63c receives the physical score, the display control unit 63d of the intermediary device 60 generates a personal sheet on which data related to the physical score is displayed, and sends it to the user. Send to the terminal device 10 . For example, the display control unit 63d generates a personal sheet showing the population distribution for each physical score and the group to which the physical score calculated for the current user belongs among the groups of the population distribution divided by physical score. . An example of a personal sheet generated by the display control unit 63d will be described below with reference to FIG.

[9. About personal sheet]
FIG. 10 is a diagram illustrating an example of a personal sheet according to the embodiment; FIG. 10 shows an example in which the intermediary device 60 generates a personal sheet C1 as a personal sheet to be provided to the user who provided the second measurement result this time. According to the example of FIG. 10, the personal sheet C1 may be composed of three areas: area AR11, area AR12, and area AR13.

Further, according to the example of FIG. 10, the second measurement result provided by the user is displayed as the "current measurement value" in the area AR11. Also, the physical score calculated for the user is displayed in the area AR12. In area AR13, the distribution of the number of people for each item (distribution of the number of other users of the same age as the current user) and the distribution of the number of people for each result of measurement (calculation) of other users for that item are displayed. Among the groups, the group to which the result of measurement (calculation) for the current user belongs is shown. In the example of FIG. 10, the items referred to here are grip strength to body weight ratio (item showing muscle strength), standing on one leg with eyes closed (item showing balance ability), standing forward bending (item showing flexibility), and physical strength. is the score.

By presenting such a personal sheet, the user can objectively recognize the results of his/her own measurement, so that he or she can become aware of improvements in lifestyle habits, for example.

Note that FIG. 10 shows an example in which the physical score calculated for the user is displayed in the area AR12, but the deviation value calculated for the user may also be displayed. Also, both the physical score and the deviation value calculated for the user may be displayed in the area AR12.

[10. Modification]
The information processing system 1 according to the above embodiment may be implemented in various different forms other than the above embodiment.

[10-1. About users]
In the above embodiment, one individual consumer (user U1) provides the second measurement result using his/her own terminal device 10, so that the second measurement result and the first measurement result of another subject An example has been shown in which the physical score calculated based on and can be confirmed on the screen of the terminal device 10 . That is, in the above-described embodiment, exchange of physical scores between a company organization (organization B or organization C) and an individual is shown as an example.

However, it is not necessary for individual consumers to directly exchange physical scores with company organizations (organization B and organization C) as in the above embodiment. good too. For example, the other organization may be an organization that conducts physical fitness tests (hereinafter referred to as "organization D"). Further, in such a case, the terminal device 10 may be an information processing terminal owned by a measurer (staff) belonging to the organization D.

As an example, an individual user U1 who visits the venue for physical measurements takes physical fitness measurements according to instructions from the organization D. Then, the staff uses the terminal device 10 to provide the second measurement result of the user U1. Your physical score will be displayed on the screen. In such a state, for example, the staff shows the physical score displayed on the terminal device 10 to the user U1. As a result, user U1 can know his own physical score.

[10-2. Target for score calculation]
In the above embodiment, the information processing device 100 has shown an example in which it is the calculation device according to the embodiment. Specifically, an example in which the information processing apparatus 100 calculates a physical score using the calculation program according to the embodiment and transmits the calculated physical score to the mediation apparatus 60 via the application AP so as to be displayed on the terminal apparatus 10 will be described. Indicated. However, the intermediary device 60 may be implemented as a computing device according to embodiments. In such a case, for example, the information processing device 100 may provide a calculation program to the mediation device 60 at an appropriate timing, and the mediation device 60 calculates the physical score according to the calculation program provided from the information processing device 100. .

More specifically, the information processing device 100 may also provide the generated statistical data (physical score calculation table) to the mediation device 60, and the mediation device 60 is equipped with the calculation program according to the embodiment, , for example, when it is determined that the second measurement result has been received, the user information of the user (user U1 in the example of FIG. 1) corresponding to this second measurement result and import it into the physical score calculation table. Then, the mediation device 60 extracts the statistical value corresponding to the attribute (pair of age and sex) indicated by the user information, and calculates the physical score based on the comparison between the extracted statistical value and the second measurement result. . Also, the mediation device 60 generates a personal sheet on which the calculated physical score is displayed, and transmits the generated personal sheet to the terminal device 10 .

[11. Hardware configuration]
Next, hardware configuration examples of the data providing device 30, the intermediary device 60, and the information processing device 100 according to the embodiment will be described. The information processing apparatus 100 will be described below as an example. FIG. 11 is a block diagram showing a hardware configuration example of the information processing apparatus 100 according to the embodiment. Referring to FIG. 11, the information processing apparatus 100 includes, for example, a processor 801, a ROM 802, a RAM 803, a host bus 804, a bridge 805, an external bus 806, an interface 807, an input device 808, and an output device 809. , a storage 810 , a drive 811 , a connection port 812 , and a communication device 813 . Note that the hardware configuration shown here is an example, and some of the components may be omitted. Moreover, it may further include components other than the components shown here.

(processor 801)
The processor 801 functions, for example, as an arithmetic processing device or a control device, and controls the overall operation or part of each component based on various programs recorded in the ROM 802, the RAM 803, the storage 810, or the removable recording medium 901. .

(ROM802, RAM803)
The ROM 802 is means for storing programs to be read into the processor 801 and data used for calculations. The RAM 803 temporarily or permanently stores, for example, a program to be read into the processor 801 and various parameters that appropriately change when the program is executed.

(Host bus 804, bridge 805, external bus 806, interface 807)
The processor 801, ROM 802, and RAM 803 are interconnected via, for example, a host bus 804 capable of high-speed data transmission. On the other hand, the host bus 804 is connected, for example, via a bridge 805 to an external bus 806 with a relatively low data transmission speed. Also, the external bus 806 is connected to various components via an interface 807 .

(Input device 808)
For example, a mouse, keyboard, touch panel, button, switch, and lever are used as the input device 808 . Furthermore, as the input device 808, a remote controller (hereinafter referred to as a remote controller) capable of transmitting control signals using infrared rays or other radio waves may be used. The input device 808 also includes a voice input device such as a microphone.

(output device 809)
The output device 809 is, for example, a display device such as a CRT (Cathode Ray Tube), an LCD, or an organic EL, an audio output device such as a speaker or headphone, a printer, a mobile phone, a facsimile, or the like, and outputs the acquired information to the user. It is a device that can be notified visually or audibly. Also, the output device 809 according to this embodiment includes various vibration devices capable of outputting tactile stimulation.

(storage 810)
Storage 810 is a device for storing various data. As the storage 810, for example, a magnetic storage device such as a hard disk drive (HDD), a semiconductor storage device, an optical storage device, a magneto-optical storage device, or the like is used.

(Drive 811)
The drive 811 is, for example, a device that reads information recorded on a removable recording medium 901 such as a magnetic disk, optical disk, magneto-optical disk, or semiconductor memory, or writes information to the removable recording medium 901 .

(connection port 812)
The connection port 812 is, for example, a USB (Universal Serial Bus) port, an IEEE1394 port, a SCSI (Small Computer System Interface), an RS-232C port, or a port for connecting an external connection device 902 such as an optical audio terminal. be.

(Communication device 813)
The communication device 813 is a communication device for connecting to a network. subscriber line) or a modem for various communications.

(Removable recording medium 901)
The removable recording medium 901 is, for example, DVD media, Blu-ray (registered trademark) media, HD DVD media, various semiconductor storage media, and the like. Of course, the removable recording medium 901 may be, for example, an IC card equipped with a contactless IC chip, an electronic device, or the like.

(External connection device 902)
The externally connected device 902 is, for example, a printer, portable music player, digital camera, digital video camera, or IC recorder.

Note that the storage unit 120 according to the embodiment is realized by the ROM 802, the RAM 803, and the storage 810. FIG. Further, the control unit 130 according to the embodiment implemented by the processor 801 executes each control program that implements the acquisition unit 131, the statistics calculation unit 132, the reception unit 133, the score calculation unit 134, and the provision unit 135. , read from the ROM 802, the RAM 803, or the like and executed.

[12. others〕
Of the above processes, all or part of the processes described as being performed automatically may be performed manually. Also, all or part of the processes described as being performed manually may be performed automatically by known methods. In addition, information including processing procedures, specific names, various data and parameters shown in the above documents and drawings can be arbitrarily changed unless otherwise specified. For example, the various information shown in each drawing is not limited to the illustrated information.

Also, each component of each device shown in the figure is functionally conceptual and does not necessarily have to be physically configured as shown in the figure. That is, the specific form of distribution/integration of each device is not limited to the illustrated one. Further, all or part of each component may be functionally or physically distributed and integrated in arbitrary units according to various loads and usage conditions. Further, each of the processes described above may be executed in combination as long as there is no contradiction.

As described above, the embodiments of the present application have been described in detail based on several drawings, but these are examples, and various modifications and It is possible to carry out the invention in other forms with modifications.

1 information processing system 10 terminal device 30 data providing device 60 intermediary device 100 information processing device 120 storage unit 121 first measurement result database 122 statistical information database 123 second measurement result database 130 control unit 131 acquisition unit 132 statistics calculation unit 133 reception unit 134 score calculation unit 135 provision unit

Claims (11)

an acquisition procedure for acquiring a first measurement result, which is a measurement result obtained by measuring a test subject for each of an item indicating flexibility and other items different from the item, as measurement items related to physical strength;
A score that is an indicator of the risk of the user contracting a predetermined disease based on the second measurement result, which is the measurement result of the user for the measurement item, and the first measurement result. A score calculation procedure for calculating and a calculation program for causing a computer to execute . The acquisition step acquires the first measurement result including measurement results obtained by measuring at least one of an item indicating muscle strength and an item indicating balance ability as the other item. The calculation program according to claim 1, characterized by: The item indicating the flexibility is a measurement target measured by standing forward bending measurement,
The item indicating the muscle strength is a muscle strength-to-body weight ratio that indicates the ratio of muscle strength to body weight,
3. The calculation program according to claim 2, wherein the item indicating the balance ability is the time for which the eye-closed one-legged state can be maintained. A statistical calculation step of calculating, as the first measurement result, a statistical value of the first measurement result for each measurement item based on measurement results obtained by measuring the measurement item for the plurality of subjects. have
The calculation program according to any one of claims 1 to 3, wherein the score calculation procedure calculates the score based on a comparison between the statistical value and the second measurement result. The statistical calculation step calculates the statistical value for each predetermined attribute corresponding to the subject,
The score calculation step calculates the score based on a comparison between the statistical value corresponding to the attribute of the user among the statistical values for each of the predetermined attributes and the second measurement result. 5. The calculation program according to claim 4. In the statistical calculation procedure, the average value of the first measurement results, the standard deviation indicated by the first measurement results, and the first measurement are used as statistical values of the first measurement results for each of the measurement items. Calculate the principal component score, which is the result of principal component analysis on the result,
In the score calculation step, based on the average value and the standard deviation, an evaluation value for evaluating the degree of deviation between the average value and the second measurement result is calculated for each measurement item, and the calculated evaluation Each of the values is normalized by the principal component score calculated for the measurement item corresponding to the evaluation value, and the score is calculated by summing the normalized evaluation values. 5. The calculation program according to 4 or 5. 7. Claims 3 to 6, wherein the score calculation step calculates, as the score, a score that serves as an indicator of the likelihood of the user to develop a lifestyle-related disease compared with subjects similar to the user among the subjects. A calculation program according to any one of the preceding claims. further comprising a display control procedure for performing display control so that the score calculated based on the first measurement result and the second measurement result input by the user is displayed on the terminal device of the user The calculation program according to any one of claims 1 to 7, characterized in that: The display control procedure indicates a population distribution for each score, which is an index of the risk of contracting a predetermined disease, and a group to which the score calculated for the user belongs among the groups of the population distribution divided by the score. 9. The calculation program according to claim 8, wherein display control is performed so that a screen displayed is displayed. an acquisition unit that acquires a first measurement result, which is a measurement result obtained by measuring an item indicating flexibility and other items different from the item as measurement items related to physical fitness, each of which is measured on a subject;
A score that is an indicator of the risk of the user contracting a predetermined disease based on the second measurement result, which is the measurement result of the user for the measurement item, and the first measurement result. and a score calculation unit that calculates A calculation method executed by a calculation device,
an acquiring step of acquiring a first measurement result, which is a measurement result obtained by measuring an item indicating flexibility and other items different from the item as measurement items related to physical fitness, each of which is a measurement result of a subject;
A score that is an indicator of the risk of the user contracting a predetermined disease based on the second measurement result, which is the measurement result of the user for the measurement item, and the first measurement result. and a score calculation step of calculating

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