JP2020166323A - Information provision system, information provision program - Google Patents

Abstract

To provide an information provision system capable of providing body composition or health information based on body composition even without a body composition meter.SOLUTION: An information provision system 10 comprises a medical checkup data acquisition unit 11 for acquiring medical checkup data, a body composition estimation unit 12 for estimating body composition using the medical checkup data, a health information acquisition unit 13 for obtaining health information using the estimated body composition, and an output unit 14 for outputting the body composition or health information.SELECTED DRAWING: Figure 1

Description

The present invention relates to an information providing system and an information providing program that acquires health diagnosis data and provides information.

Conventionally, a body composition meter that measures body composition based on information such as height, weight, age, and sex and bioimpedance of each part of the human body obtained by measurement is known.

On the other hand, in the health examination, biochemical test values such as HDL cholesterol, γ-GTP, and blood glucose are measured by tests such as blood tests. In the health examination, health risk assessment and advice for maintaining or recovering health should be given based on these biochemical test values and lifestyle habits such as smoking habits, alcohol intake habits, and exercise habits. There is.

JP-A-2009-5904

However, risk evaluations and advice based on the results of health examinations are limited to general theory and tendency theory, and in consideration of the individual body composition of the user, how much health risk there is and how much eating and drinking restrictions should be applied. It was difficult to give a quantitative index such as how much exercise should be done.

By using a body composition meter, you can know your own body composition, and also advise on lifestyle habits such as eating and drinking and exercising necessary to obtain a body composition with low health risk and a target body composition. Is possible (see, for example, Patent Document 1). However, a person who does not have a body composition meter cannot obtain such body composition information, advice, and health information such as health risks.

One of the objects of the present invention is to provide an information providing system capable of obtaining body composition or health information based on body composition even when there is no body composition meter.

One aspect of the present invention is an information providing system, which includes a health examination data acquisition unit that acquires health examination data, a body composition estimation unit that estimates body composition based on the health examination data, and the body composition or the above. It has a configuration including an output unit that outputs health information based on body composition.

With this configuration, it is possible to estimate and provide the body composition from the health diagnosis data or to provide the health information based on the body composition without using the body composition meter.

As the health information, the output unit may output health guidance information that promotes maintenance or recovery of health, or may output health risk information indicating a health risk.

With this configuration, the user can concretely understand which item of the health diagnosis data should be improved and what kind of measures should be taken based on the health diagnosis result.

The health examination data acquisition unit may acquire at least height, weight, and biochemical test values as the health examination data.

The body composition estimation unit has the same body composition as fat percentage, fat mass, defatted fat mass, muscle mass, visceral fat mass, visceral fat level, visceral fat area, subcutaneous fat mass, basal metabolic rate, bone mass, and body water. At least one of rate, BMI, intracellular fluid volume, and extracellular fluid volume may be estimated.

The body composition estimation unit may estimate the body composition based on the change (change tendency or change tendency and its amount) of the health diagnosis data.

With this configuration, the body composition can be estimated more accurately than when the health diagnosis data is simply used.

The information providing system may consist of a computer connected to a communication network, and the health examination data acquisition unit may acquire the health examination data from an arbitrary terminal via the communication network. The output unit transmits the body composition estimated based on the health examination data or the health information based on the body composition to the terminal that has acquired the health examination data via the communication network. Good.

With this configuration, the information providing system can collect the health diagnosis data of many users and can analyze the health diagnosis data of many of these users.

The information providing system may further include a health information acquisition unit that statistically processes the body composition of the plurality of users to acquire the overall health information of the plurality of users, and the output unit may include the output unit. As health information based on body composition, the overall health information of the plurality of users may be output.

This configuration can provide health information about a particular group of users.

The health examination data acquisition unit may acquire a health examination result and a health examination target value as the health examination data, and the body composition estimation unit actually measures and estimates the body composition based on the health examination result. The body composition may be estimated, and the target estimated body composition may be estimated as the body composition based on the health diagnosis target value, and the output unit can compare the actually measured estimated body composition with the target estimated body composition. You may output it.

With this configuration, the difference between the health diagnosis result and the health diagnosis target value can be recognized as the difference in body composition without using a body composition meter.

The information providing system may further include a body composition measuring unit that measures body composition and acquires an actually measured body composition, and the health examination data acquisition unit acquires a health examination target value as the health examination data. The body composition estimation unit may estimate the target estimated body composition as the body composition based on the health diagnosis target value, and the output unit may estimate the measured body composition and the target estimated body composition. The output may be comparable.

With this configuration, the health diagnosis data acquisition unit acquires the health diagnosis data targeted by the user, so that the body composition estimation unit can estimate the body composition targeted by the user. Then, the user can compare the measured body composition with the target value of the body composition when the measurement is performed by the body composition measurement unit, and the body composition measurement unit determines whether or not the measured body composition is close to the target health diagnosis value. It can be known by the measurement by.

The information providing program of one aspect of the present invention has a configuration in which a computer is made to acquire health examination data, estimate body composition from the health examination data, and output the body composition or health information based on the body composition. ing.

With this configuration, the body composition can be estimated and provided from the health diagnosis data, or the health information based on the body composition can be provided without using the body composition meter.

FIG. 1 is a diagram showing an information providing system according to an embodiment of the present invention. FIG. 2 is a graph showing the relationship between HDL cholesterol (horizontal axis), which is health diagnosis data (biochemical test value), and fat mass (kg) (vertical axis), which is body composition. FIG. 3 is a graph showing the relationship between the fat mass estimated by inputting a plurality of types of health diagnosis data in a multiple regression equation (horizontal axis) and the actually measured fat mass (vertical axis). FIG. 4 is a block diagram showing a configuration of a first application example of the information providing system according to the embodiment of the present invention. FIG. 5 is a block diagram showing a configuration of a second application example of the information providing system according to the embodiment of the present invention. FIG. 6 is a diagram showing an example of a display screen by an output unit in a second application example of the information providing system according to the embodiment of the present invention. FIG. 7 is a block diagram showing a configuration of a third application example of the information providing system according to the embodiment of the present invention. FIG. 8 is a diagram showing an example of a display screen by an output unit in a third application example of the information providing system according to the embodiment of the present invention.

Hereinafter, embodiments of the present invention will be described with reference to the drawings. It should be noted that the embodiments described below show an example of the case where the present invention is carried out, and the present invention is not limited to the specific configuration described below. In carrying out the present invention, a specific configuration according to the embodiment may be appropriately adopted.

FIG. 1 is a diagram showing an information providing system according to an embodiment of the present invention. The information providing system 10 includes a health diagnosis data acquisition unit 11, a body composition estimation unit 12, a health information acquisition unit 13, and an output unit 14. The health examination data acquisition unit 11 acquires the health examination data by accepting the input of the health examination result obtained by the user undergoing the health examination. The health examination data includes the numerical values of each item examined in the health examination.

According to the 2018 1-day dock basic test item table of the Human Dock Society, the test items for health examination include "physical measurement" including height, weight, etc., "physiology" including blood sugar, electrocardiogram, etc., chest X-ray, "X-ray / ultrasound" including abdominal ultrasound, "biochemistry" including total cholesterol, HDL cholesterol, LDL cholesterol, γ-GTP, blood sugar, "hematology" including red blood cells, white blood cells, CRP, etc. Includes "serology," "urine," and "stool." The health diagnosis data acquisition unit 11 acquires data of some or all of these measured values as health diagnosis data. In addition, the health diagnosis data includes the age, gender, individual identification data, and the like of the subject.

The body composition estimation unit 12 estimates the body composition corresponding to the health diagnosis data based on the health diagnosis data acquired by the health diagnosis data acquisition unit 11. FIG. 2 is a graph showing the relationship between HDL cholesterol (horizontal axis), which is health diagnosis data (of which biochemical test values), and fat mass (kg) (vertical axis), which is body composition. As shown in FIG. 2, HDL cholesterol and fat mass are generally related to the fact that the higher the HDL cholesterol, the lower the fat mass, but the variation is relatively large, and the fat mass can be estimated with high accuracy from the HDL cholesterol. It is difficult.

However, it is possible to obtain a correlation between the health diagnosis data and the body composition by performing multiple regression analysis with a plurality of types of health diagnosis data as explanatory variables and a specific body composition as the objective variable. Therefore, the body composition estimation unit 12 calculates the body composition to be estimated by inputting a plurality of types of health diagnosis data into the multiple regression equation obtained by the above multiple regression analysis. This multiple regression equation is obtained by learning the relationship between a large number of pairs of health diagnosis data and body composition to be estimated, and is a kind of learning model. This multiple regression equation is prepared for each body composition to be estimated. In addition, multiple regression equations are prepared for each age and gender. The body composition estimation unit 12 has body composition such as fat percentage, fat mass, defatted fat mass, muscle mass, visceral fat mass, visceral fat level, visceral fat area, subcutaneous fat mass, basal metabolic rate, bone mass, and body water percentage. , BMI, intracellular fluid volume, and some or all of the extracellular fluid volume are estimated.

Examples of the body composition estimated by the body composition estimation unit 12 are as follows. For example, the body fat ratio is the health examination data such as height, weight, gender, age, fasting blood glucose level, fasting blood insulin, HbA1c, total cholesterol, HDL cholesterol, LDL cholesterol, triglyceride, GOT, GPT, γ-. It can be estimated by a multiple regression equation using GTP, uric acid, systolic blood pressure, and diastolic blood pressure as explanatory variables. Further, for example, the visceral fat area can be estimated by a multiple regression equation using the waist circumference and the hip circumference as explanatory variables in addition to the explanatory variables used for the body fat percentage. As described above, the height, weight, and biochemical test values in the health examination data are particularly preferably used for estimating the body composition.

FIG. 3 is a graph showing the relationship between the fat mass estimated by inputting a plurality of types of health diagnosis data in a multiple regression equation (horizontal axis) and the actually measured fat mass (vertical axis). By appropriately generating the multiple regression equation, the fat mass can be estimated accurately as shown in FIG. Similarly, other body compositions can be calculated by inputting the health diagnosis data into a multiple regression equation using a plurality of types of health diagnosis data as explanatory variables and the body composition as the objective variable.

The health information acquisition unit 13 acquires health information based on the body composition. Specifically, the health information acquisition unit 13 acquires health guidance information that promotes maintenance or recovery of health and health risk information that indicates a health risk as health information. The health guidance information is, for example, information such as the amount of calories that can be ingested, the amount of calories that should be restricted, and the type and amount of exercise that should be performed. Health risk information is, for example, information such as a disease that may be affected and the magnitude of the possibility. In this way, the health information acquisition unit 13 acquires information including specific contents and amounts as health information.

The relationship between body composition and health information is stored in the table in advance for each age and gender. Here, the health information may be determined by one kind of body composition or may be determined by a plurality of body compositions. For example, when the fat ratio is high, the intake of fat should be restricted, but when the basal metabolism is also high, the degree of restriction of fat intake may be small. In addition, for example, when the fat percentage is high, the energy intake should be limited as a measure against obesity, but when the fat percentage is high and the basal metabolism is low at the same time, the risk of postprandial hyperglycemia is likely to increase. Therefore, carbohydrate intake should be increased while limiting carbohydrates. Further, for example, when the basal metabolism is sufficiently high even if the fat percentage is high, a light energy intake limit may be sufficient, and an increase in protein mass intake may not be emphasized. In this way, the health information acquisition unit 13 may determine health information from a plurality of types of body compositions.

The output unit 14 outputs the body composition estimated by the body composition estimation unit 12 and the health information acquired by the health information acquisition unit 13. The output format of this information may be display, audio output, or other output format.

The health diagnosis data acquisition unit 11, body composition estimation unit 12, health information acquisition unit 13, and output unit 14 are realized by the computer executing the information providing program of the present embodiment. The health examination data acquisition unit 11 is an interface for acquiring health examination data by wire from an external device, a communication module for acquiring health examination data by wireless communication from an external device, a media reader for reading a health examination from a storage medium, or a user operation. It may be an operation input device that accepts input. The body composition estimation unit 12 and the health information acquisition unit 13 may be a system including a CPU, RAM, and ROM that operate according to an information providing program. Further, the output unit 14 may be a display or a speaker.

As described above, according to the information providing system 10 of the present embodiment, the body composition can be estimated from the health diagnosis data. Therefore, even a person who does not have a body composition meter can know his / her own body composition. When the user has past health diagnosis data, the body composition estimation unit 12 estimates the body composition based on the past health diagnosis data, so that the user knows his / her past body composition. Can be done.

Further, according to the information providing system 10 of the present embodiment, even if the body composition meter is not provided, health information based on the body composition can be provided. Those who have undergone a health examination can obtain health information such as health guidance information and health risk information from doctors based on the results of the health examination, but in that case, it tends to be a general theory or a tendency theory. However, in the present embodiment, since the body composition is estimated and the health information is provided based on the estimated body composition, more specific and quantitative health information can be provided. This is because it can be said that the health diagnosis data captures the phenomenon aspect caused by the body composition. Therefore, it is possible to provide specific and quantitative health information by estimating the body composition that is the cause.

Hereinafter, specific application examples and modification examples of the above information providing system 10 will be described.

FIG. 4 is a block diagram showing a configuration of a first application example of the information providing system. In this example, the information providing system 10 is composed of a server computer on a communication network. The information providing system 10 is connected to the communication network 20, and a plurality of terminal devices 30 can also be connected to the communication network 20. The communication network 20 may be the Internet or a dedicated network. The information providing system 10 and each terminal device 30 communicate with each other via the communication network 20. The terminal device 30 may be, for example, a smartphone or a personal computer.

The health examination data acquisition unit 11 of the information providing system 10 acquires health examination data from an arbitrary terminal device 30 via the communication network 20. In addition, the output unit 14 transmits body composition information and health information to the terminal device 30 that has transmitted the health diagnosis data via the communication network 20. With this configuration, when the user of the terminal device 30 inputs his / her own health examination data into the terminal device 30 and transmits it to the information providing system 10, the body composition estimated from the information providing system 10 from his / her own health examination data. Information and health information can be received and output (displayed) on the terminal device 30.

The terminal device 30 displays a function for the user to input health examination data, a function for transmitting the input health examination data to the information providing system 10, and a body composition and health information transmitted from the information providing system 10. It has a function. These functions may be realized by a dedicated application program or may be realized by using a general-purpose browsing application.

Further, as shown in FIG. 4, a database 40 is connected to the information providing system 10, and an analyzer 50 is connected to the database 40. The database 40 stores the health diagnosis data received from the plurality of terminal devices 30 by the health diagnosis data acquisition unit 11. The analyzer 50 analyzes a large number of health examination data stored in the database 40. This analysis may be a statistical analysis or some machine learning. As a result, it is possible to analyze the health diagnosis data of many users collected by the information providing system 10.

Further, in this example, information on the group (for example, company, school, area, etc.) to which the health examination data belongs may be added. In this case, the health information acquisition unit 13 may statistically process the estimated body composition for each group to acquire the health information of the entire group. As a result, health guidance information and health risk information can be provided for each group such as a company, school, or community.

FIG. 5 is a block diagram showing a configuration of a second application example of the information providing system. In this example, the information providing system 10 is composed of a mobile terminal, specifically, a smartphone provided with a touch display. The information providing system 10 includes a health diagnosis data acquisition unit 11, a body composition estimation unit 12, a health information acquisition unit 13, and an output unit 14, as in the above embodiment. These functions are realized by the smartphone executing a dedicated application program (hereinafter, simply referred to as "application").

The application divides the result obtained by the actual health examination (hereinafter referred to as "health examination result") and the target value of the health examination (hereinafter referred to as "health examination target value") as the health examination data. It has a function to input. The health examination data acquisition unit 11 acquires the health examination result and the health examination target value as the health examination data, respectively. The health examination data may be input by the user by operating the touch display, may be input by importing from a file outside the application into the application, or the result of the health examination using the function of the application. You may input by taking a picture of the printed medium with a camera and performing character recognition.

In addition, the health examination data acquisition unit 11 may acquire the health examination target value by automatic calculation from the health examination result, or may acquire the health examination target value by the above input by the user. When the health check target value is acquired by automatic calculation, the information providing system 10 stores the person's standard health check value according to age, gender, height, weight, etc. as a table, or An algorithm for calculating a standard health check value according to age, gender, height, weight, etc. is stored, and the health check data acquisition unit 11 uses these tables or algorithms to perform a health check based on the health check results. Get the target value.

The body composition estimation unit 12 estimates the body composition based on each of the health diagnosis result and the health diagnosis target value (hereinafter, the body composition estimated based on the health diagnosis result is referred to as "measured estimated body composition". The body composition estimated based on the health diagnosis target value is called "target estimated body composition").

When there is a body composition to be improved, the health information acquisition unit 13 acquires health guidance information for setting the actually measured estimated body composition to the target estimated value composition. For this purpose, the health information acquisition unit 13 stores information on the content and amount of eating and drinking restrictions and exercise according to the amount of change in body composition for each type of body composition to be improved.

The output unit 14 displays the actually measured estimated body composition, the target estimated body composition, and the health information on the touch display. At this time, the output unit 14 displays the actually measured estimated body composition and the target estimated body composition in a comparable format, and the difference between them, that is, the body required to obtain the target estimated body composition from the actually measured estimated body composition. The amount of composition change is also displayed. As a result, the difference between the health diagnosis result and the health diagnosis target value can be recognized as the difference in body composition without using a body composition meter.

FIG. 6 is a diagram showing an example of a display screen by the output unit in the second application example. On this screen, body weight, fat mass, and basal metabolic rate are shown as body composition related to γ-GTP, which is health diagnosis data, and the target estimated body composition is shown in the "target" column. The "Current status" column shows the actually measured estimated body composition, and the "After reaching the target" column shows the actually measured estimated body composition to be the target estimated body composition (that is, set γ-GTP to a normal value). Therefore, the amount of change (increase / decrease) in body composition required for) is shown.

On the screen of FIG. 6, health guidance information and health risk information are further shown as health information. Specifically, the content of food and drink restrictions and the amount of restriction per predetermined period required to make the actually measured body composition the target estimated body composition, the content of exercise, the amount per predetermined period, and the actually measured estimated body composition were maintained. The names and morbidities of the diseases that can sometimes occur are shown.

According to this application example, the user can concretely understand which item of the health diagnosis data should be improved and what kind of measures should be taken based on the health diagnosis result.

FIG. 7 is a block diagram showing a configuration of a third application example of the information providing system. In this example, the information providing system 10 is composed of a mobile terminal, specifically, a smartphone having a touch display and a short-range wireless communication function. The information providing system 10 includes a health diagnosis data acquisition unit 11, a body composition estimation unit 12, and an output unit 14. Also in this example, each function of the information providing system 10 is realized by the application.

The information providing system 10 performs wireless communication with an external body composition measuring device 60 by short-range wireless communication (for example, communication by Bluetooth (registered trademark)). As a body composition measuring device 60, bioimpedance is measured using 4-pole or 8-pole electrodes and a circuit through which a weak current is passed, and the amount of fat is determined from the measured bioimpedance, weight, height, age, etc. A conventional body composition meter that calculates body composition such as muscle mass and bone mass can be used.

The health diagnosis data acquisition unit 11 acquires the health diagnosis target value as the health diagnosis data. The method of acquiring the health diagnosis target value is the same as that of the second application example. The body composition estimation unit 12 estimates the target estimated body composition as the body composition based on the health diagnosis target value. On the other hand, the information providing system 10 acquires the body composition measured by the body composition measuring device 60 (hereinafter, referred to as "measured body composition") from the body composition measuring device 60. The output unit 14 displays the target estimated body composition estimated by the body composition estimation unit 12 and the actually measured body composition acquired from the body composition measuring device 60 in a comparable format.

FIG. 8 is a diagram showing an example of a display screen by the output unit in the third application example. On this screen, as in FIG. 6, the body weight, fat mass, and basal metabolic rate are the "target", "current status", and "after reaching the target" columns as the body composition related to the health diagnosis data γ-GTP. The target estimated body composition is shown in the "Target" column. In this application example, the "current state" column shows the actually measured body composition measured by the body composition measuring device 60, and the "after reaching the target" column shows the measured body composition to be the target estimated body composition. The amount of change (increase / decrease) in body composition required for (that is, to bring γ-GTP to a normal value) is shown.

In the third application example, the information providing system 10 does not include the health information acquisition unit 13, but the health information acquisition unit 13 may be provided as in the second application example. In this case, the measured body composition measured by the body composition measuring device 60 is also input to the health information acquisition unit 13, and the health information acquisition unit 13 targets the measured body composition as in the second application example. Health information for obtaining the estimated body composition may be acquired and output by the output unit 14 in the format shown in FIG.

According to the third application example, each time the body composition is measured by the body composition measuring device, the measured body composition is compared with the target estimated body composition for improving the health diagnosis data, and between them. It is possible to confirm how much the difference is and whether the body composition is close to the target estimated body composition.

In the above embodiment and its application example, the body composition estimation unit 12 estimates the body composition based on the health diagnosis data, but the body composition estimation unit 12 adds the health diagnosis data to the health diagnosis data. The body composition may be estimated based on the change in. That is, even with the same health examination data, different body compositions may be estimated depending on whether the data is increasing or decreasing, and depending on the degree (change amount). Furthermore, past change trends may also be judged. That is, the most recent tendency (for example, an increasing tendency) may have a different influence on the estimation of body composition depending on whether the tendency is a decreasing tendency or a stable tendency in the past. As a result, the body composition can be estimated more accurately than when the health diagnosis data is simply used.

10 Information provision system 11 Health diagnosis data acquisition unit 12 Body composition estimation unit 13 Health information acquisition unit 14 Output unit 20 Communication network 30 Terminal equipment 40 Database 50 Analyzer 60 Body composition measurement equipment

Claims (11)

The Health Examination Data Acquisition Department, which acquires health examination data,
A body composition estimation unit that estimates body composition based on the health diagnosis data,
An output unit that outputs the body composition or health information based on the body composition,
Information provision system equipped with. The information providing system according to claim 1, wherein the output unit outputs health guidance information that promotes maintenance or recovery of health as the health information. The information providing system according to claim 1, wherein the output unit outputs health risk information indicating a health risk as the health information. The information providing system according to any one of claims 1 to 3, wherein the health examination data acquisition unit acquires at least height, weight, and biochemical test values as the health examination data. The body composition estimation unit has, as the body composition, fat ratio, fat mass, defatted fat mass, muscle mass, visceral fat mass, visceral fat level, visceral fat area, subcutaneous fat mass, basal metabolic rate, bone mass, and body water. The information providing system according to any one of claims 1 to 4, which estimates at least one of the rate, BMI, intracellular fluid volume, and extracellular fluid volume. The information providing system according to any one of claims 1 to 5, wherein the body composition estimation unit estimates the body composition based on a change in the health diagnosis data. The information providing system consists of a computer connected to a communication network.
The health examination data acquisition unit acquires the health examination data from an arbitrary terminal via the communication network, and obtains the health examination data.
The output unit transmits the body composition estimated based on the health diagnosis data or the health information based on the body composition to the terminal that has acquired the health diagnosis data via the communication network. , The information providing system according to any one of claims 1 to 6. Further provided with a health information acquisition unit that statistically processes the body composition of the plurality of users and acquires the overall health information of the plurality of users.
The information providing system according to any one of claims 1 to 7, wherein the output unit outputs overall health information of the plurality of users as health information based on the body composition. The health examination data acquisition unit acquires the health examination result and the health examination target value as the health examination data.
The body composition estimation unit estimates the actual measurement estimated body composition as the body composition based on the health diagnosis result, and estimates the target estimated body composition as the body composition based on the health diagnosis target value.
The information providing system according to any one of claims 1 to 8, wherein the output unit outputs the actually measured estimated body composition and the target estimated body composition in a comparable manner. Further equipped with a body composition measuring unit for measuring body composition and acquiring measured body composition,
The health examination data acquisition unit acquires a health examination target value as the health examination data, and obtains the health examination target value.
The body composition estimation unit estimates the target estimated body composition as the body composition based on the health diagnosis target value.
The information providing system according to any one of claims 1 to 8, wherein the output unit outputs the actually measured body composition and the target estimated body composition in a comparable manner. On the computer
Get health check data
The body composition is estimated from the health diagnosis data, and the body composition is estimated.
To output the body composition or health information based on the body composition.
Information provision program.

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