WO2020196812A1 - Système de fourniture d'informations, programme de fourniture d'informations et support de stockage lisible par ordinateur non transitoire - Google Patents

Système de fourniture d'informations, programme de fourniture d'informations et support de stockage lisible par ordinateur non transitoire Download PDF

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Publication number
WO2020196812A1
WO2020196812A1 PCT/JP2020/013916 JP2020013916W WO2020196812A1 WO 2020196812 A1 WO2020196812 A1 WO 2020196812A1 JP 2020013916 W JP2020013916 W JP 2020013916W WO 2020196812 A1 WO2020196812 A1 WO 2020196812A1
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body composition
health
information
estimated
information providing
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PCT/JP2020/013916
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English (en)
Japanese (ja)
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児玉　美幸
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株式会社タニタ
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    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/30—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indices; for individual health risk assessment

Definitions

  • This disclosure relates to an information providing system that acquires health diagnosis data and provides information, an information providing program, and a computer-readable non-temporary recording medium that records the program.
  • a body composition meter that measures body composition based on information such as height, weight, age, and gender and bioelectrical impedance of each part of the human body obtained by measurement is known.
  • biochemical test values such as HDL cholesterol, ⁇ -GTP, and blood glucose are measured by tests such as blood tests.
  • 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.
  • 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.
  • a body composition meter 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, Japanese Patent Application Laid-Open No. 2009-5904). However, a person who does not have a body composition meter cannot obtain information on such body composition, advice, and health information such as health risks.
  • One of the purposes of this disclosure is to provide an information providing system that can obtain body composition or health information based on body composition even without a body composition meter.
  • One aspect is an information providing system, in which 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 body composition. It has a configuration including an output unit that outputs based health information.
  • the output unit may output health guidance information that promotes maintenance or recovery of health as the health information, or may output health risk information indicating a health risk.
  • 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, 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, 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.
  • the body composition can be estimated more accurately than when simply using the health diagnosis data.
  • 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.
  • the information providing system can collect the health diagnosis data of many users and 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 the health information based on the body composition, the overall health information of the plurality of users may be output.
  • 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.
  • 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.
  • the health examination data acquisition unit acquires the health examination 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 target health diagnosis value is approached. It can be known by the measurement by.
  • One aspect of the information providing program 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.
  • 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 of the embodiment.
  • FIG. 2 is a graph showing the relationship between HDL cholesterol (horizontal axis), which is health examination 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 of the embodiment.
  • FIG. 5 is a block diagram showing a configuration of a second application example of the information providing system of the embodiment.
  • FIG. 1 is a diagram showing an information providing system of the embodiment.
  • FIG. 2 is a graph showing the relationship between HDL cholesterol (horizontal axis), which is health examination data (biochemical test value), and fat mass (kg) (vertical axis), which is body composition.
  • FIG. 6 is a diagram showing an example of a display screen by an output unit in the second application example of the information providing system of the embodiment.
  • FIG. 7 is a block diagram showing a configuration of a third application example of the information providing system of the embodiment.
  • FIG. 8 is a diagram showing an example of a display screen by an output unit in the third application example of the information providing system of the embodiment.
  • FIG. 1 is a diagram showing an information providing system of the embodiment.
  • 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.
  • the inspection items of the health examination include “physical measurement” including height, weight, etc., blood pressure, "Physiology” including electrocardiogram, “X-ray / ultrasound” including chest X-ray, abdominal ultrasound, etc., “Biochemistry” including total cholesterol, HDL cholesterol, LDL cholesterol, ⁇ -GTP, blood sugar, etc. Includes “hematology” including leukocytes and the like, “serology” including CRP and the like, “urine” and “stool”.
  • the health diagnosis data acquisition unit 11 acquires data of some or all of these measured values as health diagnosis data.
  • 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 examination data based on the health examination data acquired by the health examination data acquisition unit 11.
  • FIG. 2 is a graph showing the relationship between HDL cholesterol (horizontal axis), which is health examination data (of which biochemical test values), and fat mass (kg) (vertical axis), which is body composition.
  • 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.
  • 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.
  • multiple regression equations are prepared for each age and gender.
  • the body composition estimation unit 12 has body composition such as 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 content. , BMI, intracellular fluid volume, and some or all of the extracellular fluid volume are estimated.
  • body fat percentage is health diagnosis data such as height, weight, gender, age, fasting blood glucose level, fasting blood insulin, HbA1c, total cholesterol, HDL cholesterol, LDL cholesterol, triglyceride, GOT, GPT, ⁇ - 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).
  • the fat mass can be estimated accurately as shown in FIG.
  • other body compositions can be calculated by inputting the health diagnosis data into a multiple regression equation with 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.
  • the health information may be determined by one kind of body composition or may be determined by a plurality of body compositions.
  • the fat percentage is high, the fat intake should be restricted, but if the basal metabolism is also high, the degree of fat intake restriction may be small.
  • 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, while focusing on limiting carbohydrates, protein intake should be increased.
  • 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 above-mentioned health diagnosis data acquisition unit 11, body composition estimation unit 12, health information acquisition unit 13, and output unit 14 are realized by the processor executing the information providing program of the present embodiment.
  • the information providing program may be provided to the information providing system 10 by being downloaded from the communication network by the information providing system 10, or may be provided to the information providing system 10 via a non-temporary recording medium.
  • 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.
  • 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.
  • the body composition estimation unit 12 estimates the body composition based on the past health examination data, so that the user knows his / her past body composition. Can be done.
  • 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.
  • FIG. 4 is a block diagram showing the configuration of the first application example of the information providing system.
  • 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 diagnosis data acquisition unit 11 of the information providing system 10 acquires health diagnosis data from an arbitrary terminal device 30 via the communication network 20.
  • 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.
  • 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.
  • 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.
  • information on the group to which the patient belongs may be added to the health diagnosis data.
  • 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.
  • health guidance information and health risk information can be provided for each group such as a company, a school, or a community.
  • FIG. 5 is a block diagram showing a configuration of a second application example of the information providing system.
  • 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").
  • application a dedicated application program
  • the app divides the results obtained by the actual health examination (hereinafter referred to as “health diagnosis results”) and the target values of the health examination (hereinafter referred to as “health examination target values”) 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.
  • 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.
  • the information providing system 10 stores the person's standard health examination value according to age, gender, height, weight, etc. as a table, or An algorithm for calculating a standard health diagnosis value according to age, gender, height, weight, etc. is stored, and the health diagnosis data acquisition unit 11 uses these tables or algorithms to perform a health diagnosis from the health diagnosis results. Get the target value.
  • the body composition estimation unit 12 estimates the body composition based on each of the health examination result and the health examination target value (hereinafter, the body composition estimated based on the health examination 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”).
  • the health information acquisition unit 13 acquires health guidance information for setting the actually measured estimated body composition to the target estimated value composition.
  • 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.
  • body weight, fat mass, and basal metabolic rate are shown as body composition related to ⁇ -GTP, which is health diagnosis data
  • the target estimated body composition is shown in the "target” column.
  • the "Current status” column shows the measured estimated body composition
  • the "After to target” column shows the measured estimated body composition to be the target estimated body composition (that is, set ⁇ -GTP to a normal value). Therefore, the amount of change (increase / decrease) in body composition required for) is shown.
  • 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.
  • the user can concretely understand what kind of measures should be taken to improve which item of the health diagnosis data 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.
  • 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)).
  • a body composition measuring device 60 bioelectric impedance is measured using 4-pole or 8-pole electrodes and a circuit through which a weak current is passed, and fat is obtained from the measured bioelectric impedance, weight, height, age, and the like.
  • a conventional body composition meter that calculates body composition such as mass, 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.
  • 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.
  • 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 ⁇ -GTP.
  • the target estimated body composition is shown in the "Target” column.
  • the "current state” column shows the actually measured body composition measured by the body composition measuring device 60
  • 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 ⁇ -GTP to a normal value) is shown.
  • the information providing system 10 does not have the health information acquisition unit 13, but the health information acquisition unit 13 may be provided as in the second application example.
  • the measured body composition measured by the body composition measuring device 60 is also input to the health information acquisition unit 13, and the measured body composition is targeted by the health information acquisition unit 13 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.
  • the measured body composition is compared with the target estimated body composition for improving the health examination 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.
  • the body composition estimation unit 12 estimates the body composition based on the health examination data, but the body composition estimation unit 12 adds the health examination data to the health examination data.
  • Body composition may be estimated based on changes in. That is, even with the same health diagnosis 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.
  • Health diagnosis 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 Analyzer 60 Body composition measurement device

Abstract

La présente invention concerne un système de fourniture d'informations qui permet d'acquérir une composition corporelle ou des informations de santé basées une composition corporelle, même si un analyseur de composition corporelle n'est pas disponible. Un système de fourniture d'informations (10) a une configuration comprenant : une unité d'acquisition de données de diagnostic de santé (11) pour acquérir des données de diagnostic de santé ; une unité d'estimation de composition corporelle (12) pour estimer une composition corporelle sur la base des données de diagnostic de santé ; une unité d'acquisition d'informations de santé (13) pour acquérir des informations de santé sur la base de la composition corporelle estimée ; et une unité de sortie (14) pour délivrer la composition corporelle ou les informations de santé.
PCT/JP2020/013916 2019-03-28 2020-03-27 Système de fourniture d'informations, programme de fourniture d'informations et support de stockage lisible par ordinateur non transitoire WO2020196812A1 (fr)

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JP2002149830A (ja) * 2000-11-13 2002-05-24 Matsushita Electric Ind Co Ltd 健康管理方法、アドバイス装置および健康管理システム
JP2002355222A (ja) * 2001-03-28 2002-12-10 Yamato Scale Co Ltd 健康情報表示装置
JP2004157596A (ja) * 2002-11-01 2004-06-03 Junichi Ninomiya 健康管理システム及び健康管理方法
JP2006107222A (ja) * 2004-10-07 2006-04-20 Hitachi Ltd 健康指導支援システム
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JP2009050596A (ja) * 2007-08-29 2009-03-12 Hitachi Medical Corp 腹囲推定装置

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