Information provision system and information provision program

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

[Technical field]

[0001] The present invention relates to an information providing system and an information providing program that acquire health checkup data and provide information. [Background technology]

[0002] 2. Description of the Related Art Conventionally, there has been known a body composition analyzer that measures body composition based on information such as height, weight, age, and sex, and on bioimpedance of each part of the human body obtained by measurement.

[0003] Meanwhile, health checkups measure biochemical test values ​​such as HDL cholesterol, γ-GTP, blood sugar, etc., through blood tests, etc. In addition, health checkups may assess health risks and provide 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. [Prior art documents] [Patent documents]

[0004] [Patent Document 1] JP 2009-5904 A Summary of the Invention [Problem to be solved by the invention]

[0005] However, risk assessments and advice based on the results of health checkups are limited to generalities and trends, and it has been 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.

[0006] By using a body composition meter, one can know one's own body composition, and furthermore, it is possible to receive advice on lifestyle habits such as diet, exercise, etc., necessary to obtain 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 meter cannot obtain such body composition information or advice, or health information such as health risks.

[0007] An object of the present invention is to provide an information providing system that enables one to obtain body composition or health information based on body composition even in the absence of a body composition meter. [Means for solving the problem]

[0008] One aspect of the present invention is an information provision system comprising a health checkup data acquisition unit that acquires health checkup data, a body composition estimation unit that estimates body composition based on the health checkup data, and an output unit that outputs the body composition or health information based on the body composition.

[0009] 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.

[0010] The output section may output, as the health information, health guidance information that encourages maintenance or recovery of health, or may output health risk information that indicates health risks.

[0011] With this configuration, the user can specifically understand, based on the medical examination results, what measures should be taken to improve which items of the medical examination data.

[0012] The medical examination data acquisition section may acquire at least height, weight, and biochemical test values ​​as the medical examination data.

[0013] 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.

[0014] The body composition estimation section may estimate the body composition based also on a change in the health checkup data (a trend of change or a trend of change and an amount of change).

[0015] This configuration allows for more accurate estimation of body composition compared to the case where health checkup data is simply used.

[0016] The information providing system may consist of a computer connected to a communications network, and the health checkup data acquisition unit may acquire the health checkup data from any terminal via the communications network, and the output unit may transmit 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 communications network.

[0017] With this configuration, the information providing system can collect the medical checkup data of many users and analyze the medical checkup data of many users.

[0018] 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 composition.

[0019] This configuration allows for providing health information for specific groups of users.

[0020] 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 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.

[0021] With this configuration, the difference between the health check result and the health check target value can be recognized as the difference in body composition without using a body composition meter.

[0022] The information providing system may further include a body composition measuring unit that measures body composition and obtains 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.

[0023] With this configuration, the health checkup data acquisition unit acquires the user's target health checkup data, and the body composition estimation unit can estimate the user's target body composition. Then, when the user measures 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 target health checkup value by the measurement using the body composition measurement unit.

[0024] An information providing program according to one embodiment of the present invention has a configuration for causing 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.

[0025] 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. [Brief description of the drawings]

[0026] [Figure 1] FIG. 1 is a diagram showing an information providing system according to an embodiment of the present invention. [Diagram 2] 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. [Diagram 3] 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). [Figure 4] 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. [Diagram 5] 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. [Figure 6] 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. [Figure 7] 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. [Figure 8] 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. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0027] Hereinafter, an embodiment of the present invention will be described with reference to the drawings. Note that the embodiment described below shows an example of a case where the present invention is implemented, and the present invention is not limited to the specific configuration described below. In implementing the present invention, a specific configuration according to the embodiment may be appropriately adopted.

[0028] 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 checkup data acquiring unit 11, a body composition estimating unit 12, a health information acquiring unit 13, and an output unit 14. The health checkup data acquiring unit 11 acquires health checkup data by accepting an input of the health checkup results obtained when a user undergoes a health checkup. The health checkup data includes numerical values ​​of each item examined in the health checkup.

[0029] According to the 2018 Basic Examination Items for One-Day Medical Checkups by the Japanese Society of Health Checkups, the examination items for the 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, "urine," and "feces." 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.

[0030] 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. Fig. 2 is a graph showing the relationship between HDL cholesterol (horizontal axis), which is the health checkup data (biochemical test values ​​among them), and fat mass (kg) (vertical axis), which is the body composition. As shown in Fig. 2, HDL cholesterol and fat mass are generally related such that the higher the HDL cholesterol, the lower the fat mass, but the variation is relatively large, and it is difficult to estimate the fat mass from the HDL cholesterol with high accuracy.

[0031] However, by performing multiple regression analysis with a specific body composition as a response variable and a plurality of types of health check data as explanatory variables, it is possible to obtain a correlation between health check data and body composition. Therefore, the body composition estimation unit 12 calculates the body composition to be estimated by inputting the plurality of types of health check data into a multiple regression equation obtained by the above-mentioned multiple regression analysis. This multiple regression equation is obtained by learning the relationship between many pairs of the plurality of types of health check 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 calculates the body composition including 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, and total body water percentage. , fine Estimate intracellular fluid volume and some or all of the extracellular fluid volume.

[0032] Examples of body composition estimated by the body composition estimation unit 12 are as follows. For example, the body fat percentage can be estimated by a multiple regression equation with the following explanatory variables: 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, which are health check data. Also, for example, the visceral fat area can be estimated by a multiple regression equation with the following explanatory variables: waist circumference and hip circumference, in addition to the explanatory variables used for the body fat percentage. In this way, the height, weight, and biochemical test values ​​from the health check data are particularly suitable for estimating the body composition.

[0033] 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 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. Similarly, other body compositions can be calculated 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 a response variable.

[0034] The health information acquisition unit 13 acquires health information based on the body composition. Specifically, the health information acquisition unit 13 acquires, as the 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 the health information, information including specific contents and amounts.

[0035] The relationship between the body composition and the 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, when the fat percentage is high, the intake of fat should be restricted, but at the same time, when the basal metabolism is high, the degree of restriction of the intake of fat may be small. Also, for example, when the fat percentage is high, the intake energy should be restricted as a measure against obesity, but when not only the fat percentage is high but also the basal metabolism is low, the risk of postprandial hyperglycemia is more likely to increase, so carbohydrates should be restricted with emphasis and protein intake should be increased. Also, for example, when the fat percentage is high but the basal metabolism is sufficiently high, only a light restriction of the intake energy may be sufficient, and an increase in the intake of protein may not be emphasized. In this way, the health information acquisition unit 13 may determine the health information from multiple types of body compositions.

[0036] Output unit 14 outputs the body composition estimated by body composition estimation unit 12 and the health information acquired by health information acquisition unit 13. The output format of this information may be a display, an audio output, or any other output format.

[0037] 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 for acquiring health check data from an external device via a wired connection, a communication module for acquiring health check data from an external device via wireless communication, a media reader for reading out health check data from a storage medium, or an operation input device for accepting user operation 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 the information provision program. The output unit 14 may be a display or a speaker.

[0038] As described above, according to the information providing system 10 of this embodiment, the body composition can be estimated from the medical checkup data. Therefore, even a person who does not have a body composition meter can know his / her own body composition. If the user has past medical checkup data, the body composition estimation unit 12 estimates the body composition based on the past medical checkup data, so that the user can know his / her past body composition.

[0039] Furthermore, according to the information providing system 10 of this embodiment, even if a person does not have a body composition meter, he or she can receive 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 trend-based. In contrast, in this embodiment, the 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.

[0040] Specific application examples and modifications of the information providing system 10 will be described below.

[0041] 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 configured by a server computer on a communication network. The information providing system 10 is connected to a 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.

[0042] The medical checkup data acquisition unit 11 of the information providing system 10 acquires medical checkup data from any terminal device 30 via the communication network 20. The output unit 14 transmits body composition information and health information via the communication network 20 to the terminal device 30 that has transmitted the medical checkup data. With this configuration, when a user of the terminal device 30 inputs his / her own medical checkup data into the terminal device 30 and transmits it to the information providing system 10, the user can receive body composition information and health information estimated from his / her own medical checkup data from the information providing system 10 and output (display) them on the terminal device 30.

[0043] 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.

[0044] As shown in FIG. 4, the information providing system 10 is connected to a database 40, which is connected to an analysis device 50. The database 40 stores the medical checkup data received by the medical checkup data acquisition unit 11 from the multiple terminal devices 30. The analysis device 50 analyzes the large number of medical checkup data stored in the database 40. This analysis may be a statistical analysis or some kind of machine learning. This allows the medical checkup data of many users collected by the information providing system 10 to be analyzed.

[0045] In this example, information on the group (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 for each group, such as a company, school, or region.

[0046] Fig. 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 checkup 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").

[0047] The app has a function of separately 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") 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 to the app, or may be input by using the app's function to take a picture of a medium on which the health check result is printed with a camera and perform character recognition.

[0048] Furthermore, the health checkup data acquiring 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 providing system 10 stores standard health checkup values ​​of the person according to age, sex, height, weight, etc. as a table, or stores an algorithm for calculating standard health checkup values ​​according to age, sex, height, weight, etc., and the health checkup data acquiring unit 11 acquires the health checkup target value from the health checkup result using these tables or algorithms.

[0049] The body composition estimation unit 12 estimates body composition based on both 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.").

[0050] 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 exercise contents and amounts according to the amount of change in body composition for each type of body composition to be improved.

[0051] 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 the difference in body composition, even without using a body composition meter.

[0052] 6 is a diagram showing an example of a display screen by the output unit in the second application example. In this screen, body weight, fat mass, and basal metabolic rate are shown 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 make γ-GTP normal).

[0053] The screen of 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 predetermined period necessary to change the actual estimated body composition to the target estimated body composition, the details of exercise and the amount per predetermined period, and the names and incidence rates of diseases that may occur if the actual estimated body composition is maintained.

[0054] According to this application example, the user can specifically understand, based on the medical examination results, what measures should be taken to improve which items of the medical examination data.

[0055] Fig. 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 a short-range wireless communication function. 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.

[0056] The information providing system 10 wirelessly communicates with an external body composition measuring device 60 by short-range wireless communication (for example, communication by Bluetooth (registered trademark)). As the body composition measuring device 60, a conventional body composition scale that measures bioimpedance using four-pole 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 can be used.

[0057] 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 from the body composition measuring device 60 the body composition measured by the body composition measuring device 60 (hereinafter referred to as "actual body composition"). 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 measuring device 60 in a format that allows comparison.

[0058] Fig. 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 Fig. 6, as the body composition related to γ-GTP, which is the health check data, the body weight, fat mass, and basal metabolic rate are shown in the columns of "Target", "Current Status", and "Remaining to Goal", and the target estimated body composition is shown in the "Target" column. 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 make the actual body composition the estimated target body composition (i.e., to make γ-GTP the normal value).

[0059] In the third application example, information providing system 10 does not include health information acquiring unit 13, but may be provided in the same manner as in the second application example. In this case, the actual body composition measured by body composition measuring device 60 is also input to health information acquiring unit 13, and in the same manner as in the second application example, health information for adjusting the actual body composition to a target estimated body composition is acquired by health information acquiring unit 13, and may be output by output unit 14 in a format as shown in FIG.

[0060] 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 how much difference there is between them and whether the body composition is approaching the target estimated body composition.

[0061] In the above embodiment and its application, 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 the degree (amount of change). Furthermore, past trends of 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 the medical checkup data is simply used. [Explanation of symbols]

[0062] 10 Information provision system 11 Health Check Data Acquisition Department 12 Body Composition Estimation Department 13 Health Information Acquisition Department 14 Output section 20. Communication Networks 30 Terminal Equipment 40 Databases 50 Analyzer 60 Body composition measuring device

Claims

1. 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:

2. The information providing system according to claim 1 , wherein the output unit outputs, as the health information, health guidance information for promoting maintenance or recovery of health.

3. The information providing system according to claim 1 , wherein the output unit outputs health risk information indicating a health risk as the health information.

4. 4. The information providing system according to claim 1, wherein the medical examination data acquiring section acquires at least height, weight, and biochemical test values ​​as the medical examination data.

5. 5. The information providing system of claim 1, 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.

6. The information providing system according to claim 1 , wherein the body composition estimation unit estimates the body composition based also on a change in the medical checkup data.

7. 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.

8. 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.

9. 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.

10. 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.

11. 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.

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