JP7671482B2 - Information provision system and information provision program - Google Patents

Description

The present invention relates to an information provision system and an information provision program that acquire health checkup data and provide information.

Conventionally, body composition monitors are known that measure body composition based on information such as height, weight, age, and sex, and the bioimpedance of each part of the human body obtained by measurement.

Meanwhile, health checkups involve blood tests and other tests to measure biochemical test values such as HDL cholesterol, γ-GTP, and blood sugar. Health checkups may also include an assessment of health risks and advice on maintaining or restoring health based on these biochemical test values and lifestyle habits such as smoking habits, alcohol intake habits, and exercise habits.

JP 2009-5904 A

However, risk assessments and advice based on the results of health checkups are limited to generalities and trends, and it is difficult to provide quantitative indicators that take into account the user's individual body composition, such as the level of health risk, the level of dietary restrictions that should be imposed, or the amount of exercise that should be done.

By using a body composition scale, one can know one's own body composition, and it is also possible to receive advice on lifestyle habits such as diet and exercise necessary to achieve a body composition with low health risks and a target body composition (see, for example, Patent Document 1). However, those who do not own a body composition scale cannot obtain such body composition information or advice, or health information such as health risks.

One of the objectives of the present invention is to provide an information provision system that allows users to obtain body composition or health information based on body composition even when they do not have a body composition meter.

One aspect of the present invention is an information provision system that includes a health check data acquisition unit that acquires health check data, a body composition estimation unit that estimates body composition based on the health check data, and an output unit that outputs the body composition or health information based on the body composition.

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

The output unit may output, as the health information, health guidance information that encourages the maintenance or recovery of health, or health risk information that indicates health risks.

With this configuration, users can specifically understand what measures they should take to improve which items of their health checkup data based on the health checkup results.

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

The body composition estimation unit may estimate at least one of the following body composition: fat percentage, fat mass, lean mass, muscle mass, visceral fat mass, visceral fat level, visceral fat area, subcutaneous fat mass, basal metabolic rate, bone mass, total body water percentage, BMI, intracellular fluid volume, and extracellular fluid volume.

The body composition estimation unit may estimate the body composition based on changes in the health check data (trends of change or the amount of change).

This configuration allows for more accurate estimation of body composition compared to simply using health check data.

The information providing system may be comprised of a computer connected to a communication network, the health check data acquisition unit may acquire the health check data from any terminal via the communication network, and the output unit may transmit the body composition estimated based on the health check data or the health information based on the body composition via the communication network to the terminal that acquired the health check data.

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

The information providing system may further include a health information acquisition unit that statistically processes the body compositions of multiple users to acquire overall health information of the multiple users, and the output unit may output the overall health information of the multiple users as health information based on the body compositions.

This configuration allows us to provide health information for specific groups of users.

The health check data acquisition unit may acquire health check results and health check target values as the health check data, the body composition estimation unit may estimate an actual estimated body composition as the body composition based on the health check results, and may estimate a target estimated body composition as the body composition based on the health check target values, and the output unit may output the actual estimated body composition and the target estimated body composition in a comparable manner.

With this configuration, the difference between the health checkup results and the health checkup target values can be recognized as a difference in body composition without using a body composition meter.

The information provision system may further include a body composition measurement unit that measures body composition to obtain an actual body composition, the health check data acquisition unit may obtain a health check target value as the health check data, the body composition estimation unit may estimate a target estimated body composition as the body composition based on the health check target value, and the output unit may output the actual body composition and the target estimated body composition in a comparable manner.

With this configuration, the health checkup data acquisition unit acquires the user's targeted health checkup data, and the body composition estimation unit can estimate the user's targeted body composition. Then, when the user performs a measurement using the body composition measurement unit, the user can compare the measured body composition with the target body composition value, and can know whether or not the user is approaching the targeted health checkup value through the measurement by the body composition measurement unit.

An information provision program according to one embodiment of the present invention has a configuration that causes a computer to acquire health checkup data, estimate body composition from the health checkup data, and output the body composition or health information based on the body composition.

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

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 checkup data (biochemical test value) and fat mass (kg) (vertical axis) which is body composition. FIG. 3 is a graph showing the relationship between fat mass (horizontal axis) estimated by inputting multiple types of health checkup data into a multiple regression equation and 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 the output unit in the 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 the output unit in the third application example of the information providing system according to the embodiment of the present invention.

Below, an embodiment of the present invention will be described with reference to the drawings. Note that the embodiment described below shows an example of how the present invention can be implemented, and the present invention is not limited to the specific configuration described below. When implementing the present invention, a specific configuration according to the embodiment may be appropriately adopted.

Figure 1 is a diagram showing an information provision system according to an embodiment of the present invention. The information provision system 10 comprises a health checkup data acquisition unit 11, a body composition estimation unit 12, a health information acquisition unit 13, and an output unit 14. The health checkup data acquisition unit 11 acquires health checkup data by accepting input of the health checkup results obtained when a user undergoes a health checkup. The health checkup data includes numerical values for each item examined in the health checkup.

According to the 2018 Basic Examination Items List for One-Day Medical Checkups from the Japanese Society of Health Checkups, the examination items for a medical checkup include "physical measurements" including height, weight, etc.; "physiology" including blood pressure, electrocardiogram, etc.; "X-ray/ultrasound" including chest X-ray, abdominal ultrasound, etc.; "biochemistry" including total cholesterol, HDL cholesterol, LDL cholesterol, γ-GTP, blood glucose, etc.; "hematology" including red blood cells, white blood cells, etc.; "serology" including CRP, etc.; "urine" and "stool." The medical checkup data acquisition unit 11 acquires data on some or all of these measurement values as medical checkup data. The medical checkup data also includes the subject's age, sex, personal identification data, etc.

The body composition estimation unit 12 estimates the body composition corresponding to the health checkup data acquired by the health checkup data acquisition unit 11 based on the health checkup data. Figure 2 is a graph showing the relationship between HDL cholesterol (horizontal axis), which is the health checkup data (a biochemical test value among them), and fat mass (kg) (vertical axis), which is body composition. As shown in Figure 2, HDL cholesterol and fat mass are generally related in that the higher the HDL cholesterol, the lower the fat mass, but the variation is relatively large, and it is difficult to estimate fat mass with high accuracy from HDL cholesterol.

However, by performing a multiple regression analysis with a specific body composition as a response variable and a plurality of types of medical checkup data as explanatory variables, it is possible to obtain a correlation between the medical checkup data and the body composition. Therefore, the body composition estimation unit 12 calculates the body composition to be estimated by inputting the plurality of types of medical checkup data into a multiple regression equation obtained by the above multiple regression analysis. This multiple regression equation is obtained by learning the relationship between many pairs of the plurality of types of medical checkup data and the body composition to be estimated, and is a type of learning model. This multiple regression equation is prepared for each body composition to be estimated. In addition, a multiple regression equation is prepared for each age and sex. The body composition estimation unit 12 estimates some or all of the following as the body composition: fat percentage, fat mass, fat-free mass, muscle mass, visceral fat mass, visceral fat level, visceral fat area, subcutaneous fat mass, basal metabolic rate, bone mass , total body water percentage, intracellular fluid volume, and extracellular fluid volume.

Examples of body composition estimated by the body composition estimation unit 12 are as follows. For example, body fat percentage can be estimated by a multiple regression equation with the medical checkup data of height, weight, sex, age, fasting blood glucose level, fasting blood insulin, HbA1c, total cholesterol, HDL cholesterol, LDL cholesterol, triglyceride, GOT, GPT, γ-GTP, uric acid, systolic blood pressure, and diastolic blood pressure as explanatory variables. Also, for example, visceral fat area can be estimated by a multiple regression equation with the explanatory variables of waist circumference and hip circumference in addition to the explanatory variables used for body fat percentage. In this way, height, weight, and biochemical test values from the medical checkup data are particularly suitable for use in estimating body composition.

Figure 3 is a graph showing the relationship between fat mass (horizontal axis) estimated by inputting multiple types of health checkup data into a multiple regression equation and the actually measured fat mass (vertical axis). By appropriately generating a multiple regression equation, it is possible to estimate fat mass with high accuracy, as shown in Figure 3. Other body compositions can also be calculated similarly by inputting health checkup data into a multiple regression equation that uses multiple types of health checkup data as explanatory variables and body composition as the response variable.

The health information acquisition unit 13 acquires health information based on body composition. Specifically, the health information acquisition unit 13 acquires, as health information, health guidance information that encourages the maintenance or recovery of health, and health risk information that indicates health risks. The health guidance information is, for example, information on the amount of calories that can be ingested, the amount of calories that should be restricted, the type and amount of exercise that should be performed, etc. The health risk information is, for example, information on diseases that may be suffered from and the degree of the possibility of such diseases. In this way, the health information acquisition unit 13 acquires, as health information, information including specific contents and amounts.

The relationship between body composition and health information is stored in advance in a table for each age and sex. Here, the health information may be determined by one type of body composition or multiple body compositions. For example, if the fat percentage is high, fat intake should be restricted, but if the basal metabolism is also high at the same time, the degree of fat intake restriction may be small. Also, for example, if the fat percentage is high, energy intake should be restricted as a measure against obesity, but if not only the fat percentage is high but the basal metabolism is also low, the risk of postprandial hyperglycemia is more likely to increase, so carbohydrates should be restricted intensively and protein intake should be increased. Also, for example, if the fat percentage is high but the basal metabolism is sufficiently high, only a light restriction on energy intake may be sufficient, and increasing protein intake may not be emphasized. In this way, the health information acquisition unit 13 may determine health information from multiple types of body composition.

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 a display, an audio output, or another output format.

The above-mentioned health check data acquisition unit 11, body composition estimation unit 12, health information acquisition unit 13, and output unit 14 are realized by a computer executing the information provision program of this embodiment. The health check data acquisition unit 11 may be an interface that acquires health check data from an external device via a wired connection, a communication module that acquires health check data from an external device via wireless communication, a media reader that reads out health check data from a storage medium, or an operation input device that accepts user operation input. The body composition estimation unit 12 and health information acquisition unit 13 may be a system including a CPU, RAM, and ROM that operate according to the information provision program. The output unit 14 may be a display or a speaker.

As described above, the information providing system 10 of this embodiment can estimate body composition from health checkup data. Therefore, even people who do not own a body composition meter can know their own body composition. If the user has past health checkup data, the body composition estimation unit 12 estimates the body composition based on the past health checkup data, allowing the user to know their past body composition.

In addition, according to the information provision system 10 of this embodiment, even if a person does not have a body composition meter, he or she can be provided with health information based on body composition. A person who has undergone a health check can obtain health information such as health guidance information and health risk information from a doctor or the like based on the results of the health check, but such information tends to be generalized or based on trends. In contrast, in this embodiment, body composition is estimated and then health information is provided based on the estimated body composition, so that more specific and quantitative health information can be provided. This is because health check data can be said to capture the phenomena caused by body composition. Therefore, by estimating the body composition, which is the cause, specific and quantitative health information can be provided.

Specific application examples and modified examples of the above-mentioned information provision system 10 are described below.

Figure 4 is a block diagram showing the configuration of a first application example of the information provision system. In this example, the information provision system 10 is configured by a server computer on a communication network. The information provision system 10 is connected to a communication network 20, and multiple 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 provision 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 checkup data acquisition unit 11 of the information provision system 10 acquires health checkup data from any terminal device 30 via the communication network 20. The output unit 14 also transmits body composition information and health information via the communication network 20 to the terminal device 30 that has transmitted the health checkup data. With this configuration, when a user of the terminal device 30 inputs his/her own health checkup data into the terminal device 30 and transmits it to the information provision system 10, the user can receive body composition information and health information estimated from his/her own health checkup data from the information provision system 10 and output (display) it on the terminal device 30.

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

As shown in FIG. 4, a database 40 is connected to the information providing system 10, and an analysis device 50 is connected to the database 40. The database 40 stores the health checkup data received by the health checkup data acquisition unit 11 from multiple terminal devices 30. The analysis device 50 analyzes the large amount of health checkup data stored in the database 40. This analysis may be a statistical analysis or some kind of machine learning. This makes it possible to analyze the health checkup data of many users collected by the information providing system 10.

In addition, in this example, information on the group to which the user belongs (e.g., company, school, region, etc.) may be added to the health checkup data. In this case, the health information acquisition unit 13 may statistically process the estimated body composition for each group to acquire health information for the entire group. This makes it possible to provide health guidance information and health risk information on a group basis, such as a company, school, or region.

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

The app has a function for inputting the results obtained by the actual health check (hereinafter referred to as "health check result") and the target value of the health check (hereinafter referred to as "health check target value") separately as health check data. The health check data acquisition unit 11 acquires the health check result and the health check target value as health check data. The health check data may be input by the user operating the touch display, or may be input by importing the data from a file outside the app into the app, or may be input by using the app's functions to take a picture of a medium on which the health check result is printed with a camera and perform character recognition.

The health checkup data acquisition unit 11 may acquire the health checkup target value by automatic calculation from the health checkup result, or may acquire the health checkup target value by the above-mentioned input by the user. When acquiring the health checkup target value by automatic calculation, the information provision system 10 stores a table of standard health checkup values for the person according to age, sex, height, weight, etc., or stores an algorithm for calculating standard health checkup values according to age, sex, height, weight, etc., and the health checkup data acquisition unit 11 acquires the health checkup target value from the health checkup result using these tables or algorithms.

The body composition estimation unit 12 estimates body composition based on the health check results and the health check target values (hereinafter, the body composition estimated based on the health check results is referred to as the "actual estimated body composition," and the body composition estimated based on the health check target values is referred to as the "target estimated body composition").

When there is a body composition to be improved, the health information acquisition unit 13 acquires health guidance information for changing the actual estimated body composition to a target estimated composition. For this purpose, the health information acquisition unit 13 stores information on dietary restrictions and the content and amount of 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 actual 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 actual estimated body composition and the target estimated body composition in a format that allows comparison, and also displays the difference between them, i.e., the amount of change in body composition required to change from the actual estimated body composition to the target estimated body composition. This allows the difference between the health check result and the health check target value to be recognized as a difference in body composition, even without using a body composition meter.

Figure 6 is a diagram showing an example of a display screen by the output unit in the second application example. This screen shows body weight, fat mass, and basal metabolic rate as body composition related to γ-GTP, which is health check data, the "Goal" column shows the target estimated body composition, the "Current Status" column shows the actual estimated body composition, and the "Remaining until goal" column shows the amount of change (increase or decrease) in body composition required to change the actual estimated body composition to the target estimated body composition (i.e., to bring γ-GTP to a normal value).

The screen in FIG. 6 further shows health guidance information and health risk information as health information. Specifically, the screen shows the details of dietary restrictions and the amount of restrictions per specified period necessary to change the actual estimated body composition to the target estimated body composition, as well as the details of exercise and the amount per specified period, and the names and incidence rates of diseases that may be contracted if the actual estimated body composition is maintained.

According to this application example, the user can specifically understand what measures should be taken to improve which items of health checkup data based on the health checkup results.

Figure 7 is a block diagram showing the configuration of a third application example of the information provision system. In this example, the information provision system 10 is configured by a mobile terminal, specifically, a smartphone equipped with a touch display and short-range wireless communication capabilities. The information provision system 10 includes a health check data acquisition unit 11, a body composition estimation unit 12, and an output unit 14. In this example as well, each function of the information provision system 10 is realized by an app.

The information providing system 10 wirelessly communicates with an external body composition measuring device 60 via short-range wireless communication (e.g., communication via Bluetooth (registered trademark)). The body composition measuring device 60 can be a conventional body composition scale that measures bioimpedance using four- or eight-pole electrodes and a circuit that passes a weak current through them, and calculates body composition such as fat mass, muscle mass, and bone mass from information such as the measured bioimpedance, weight, height, and age.

The health checkup data acquisition unit 11 acquires health checkup target values as health checkup data. The method of acquiring the health checkup target values is the same as in the second application example. The body composition estimation unit 12 estimates a target estimated body composition as the body composition based on the health checkup target values. Meanwhile, the information provision system 10 acquires the body composition measured by the body composition measurement device 60 (hereinafter referred to as "actual body composition") from the body composition measurement device 60. The output unit 14 displays the target estimated body composition estimated by the body composition estimation unit 12 and the actual body composition acquired from the body composition measurement device 60 in a format that allows comparison.

Figure 8 is a diagram showing an example of a display screen by the output unit in the third application example. In this screen, similar to Figure 6, body weight, fat mass, and basal metabolic rate are shown in the "Target", "Current Status", and "Remaining to Goal" columns as body composition related to γ-GTP, which is health check data, and the "Target" column shows the target estimated body composition. In this application example, the "Current Status" column shows the actual body composition measured by the body composition measuring device 60, and the "Remaining to Goal" column shows the amount of change (increase or decrease) in body composition required to bring the actual body composition into the target estimated body composition (i.e., to bring γ-GTP into the normal value).

In the third application example, the information providing system 10 does not include a health information acquisition unit 13, but as in the second application example, a health information acquisition unit 13 may be provided. In this case, the actual body composition measured by the body composition measuring device 60 is also input to the health information acquisition unit 13, and as in the second application example, health information for adjusting the actual body composition to a target estimated body composition is acquired by the health information acquisition unit 13, and this may be output by the output unit 14 in a format as shown in FIG. 6.

According to the third application example, each time body composition is measured with a body composition measuring device, the measured body composition can be compared with a target estimated body composition for improving health checkup data to determine the extent of difference between them and whether the body composition is approaching 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 medical checkup data. However, the body composition estimation unit 12 may estimate the body composition based on the changes in the medical checkup data in addition to the medical checkup data. That is, even for the same medical checkup data, different body compositions may be estimated depending on whether the data is increasing or decreasing and on the degree (amount of change). Furthermore, past trends in change may also be determined. That is, the most recent trend (e.g., an increasing trend) may have a different effect on the estimation of the body composition depending on whether the data was previously decreasing or stable. This allows the body composition to be estimated more accurately than when simply using medical checkup data.

REFERENCE SIGNS LIST 10 Information provision system 11 Health checkup data acquisition unit 12 Body composition estimation unit 13 Health information acquisition unit 14 Output unit 20 Communication network 30 Terminal device 40 Database 50 Analysis device 60 Body composition measurement device

Claims (11)

A health checkup data acquisition unit that acquires health checkup data;
a body composition estimation unit that estimates a body composition that can be estimated based on bioelectrical impedance based on the health checkup data without using a body composition meter ;
an output unit that outputs the body composition estimated by the body composition estimation unit or health information based on the body composition estimated by the body composition estimation unit;
An information provision system equipped with: The information providing system according to claim 1, wherein the output unit outputs health guidance information for promoting the 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 health risks as the health information. The information provision system according to any one of claims 1 to 3, wherein the medical examination data acquisition unit acquires at least height, weight, and biochemical test values as the medical examination data. The information provision system according to any one of claims 1 to 4, wherein the body composition estimation unit estimates at least one of the following as the body composition: fat percentage, fat mass, lean mass, muscle mass, visceral fat mass, visceral fat level, visceral fat area, subcutaneous fat mass, basal metabolic rate, bone mass, total body water percentage, intracellular fluid volume, and extracellular fluid volume. The information provision system according to any one of claims 1 to 5, wherein the body composition estimation unit estimates the body composition based also on changes in the health checkup data. The information providing system comprises a computer connected to a communication network,
the medical examination data acquisition unit acquires the medical examination data from an arbitrary terminal via the communication network;
7. The information providing system according to claim 1, wherein the output unit transmits the body composition estimated based on the health checkup data or the health information based on the body composition to the terminal that acquired the health checkup data via the communication network. A health information acquisition unit that statistically processes the body compositions of a plurality of users to acquire overall health information of the plurality of users,
The information providing system according to claim 1 , wherein the output unit outputs overall health information of the plurality of users as the health information based on the body composition. the health checkup data acquisition unit acquires a health checkup result and a health checkup target value as the health checkup data;
the body composition estimation unit estimates an actual estimated body composition as the body composition based on the medical examination result, and estimates a target estimated body composition as the body composition based on the medical examination target value;
The information providing system according to claim 1 , wherein the output section outputs the measured estimated body composition and the target estimated body composition in a manner that allows them to be compared. A body composition measuring unit is further provided to measure body composition and obtain an actual body composition.
the health checkup data acquisition unit acquires health checkup target values as the health checkup data;
the body composition estimation unit estimates a target estimated body composition as the body composition based on the health check target value;
The information providing system according to claim 1 , wherein the output section outputs the measured body composition and the target estimated body composition in a manner that allows them to be compared. On the computer,
Obtain health check data,
A body composition that can be estimated based on bioelectrical impedance is estimated based on the medical examination data without using a body composition meter ;
outputting the estimated body composition or health information based on the estimated body composition;
Informational program.

Images