WO2020009057A1 - 健康管理支援装置、方法、及びプログラム - Google Patents

健康管理支援装置、方法、及びプログラム Download PDF

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Publication number
WO2020009057A1
WO2020009057A1 PCT/JP2019/026061 JP2019026061W WO2020009057A1 WO 2020009057 A1 WO2020009057 A1 WO 2020009057A1 JP 2019026061 W JP2019026061 W JP 2019026061W WO 2020009057 A1 WO2020009057 A1 WO 2020009057A1
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WIPO (PCT)
Prior art keywords
lifestyle
period
information
health condition
health
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Ceased
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PCT/JP2019/026061
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English (en)
French (fr)
Japanese (ja)
Inventor
陽平 浅野
小林　達矢
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Omron Healthcare Co Ltd
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Omron Healthcare Co Ltd
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Publication date
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Priority to CN201980038363.5A priority Critical patent/CN112236825A/zh
Priority to DE112019002553.8T priority patent/DE112019002553T5/de
Publication of WO2020009057A1 publication Critical patent/WO2020009057A1/ja
Priority to US17/137,908 priority patent/US20210125693A1/en
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

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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
    • 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
    • G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
    • G16H10/20—ICT specially adapted for the handling or processing of patient-related medical or healthcare data for electronic clinical trials or questionnaires
    • 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
    • G16H20/00—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
    • G16H20/10—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to drugs or medications, e.g. for ensuring correct administration to patients
    • 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
    • G16H20/00—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
    • G16H20/60—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to nutrition control, e.g. diets
    • 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
    • G16H20/00—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
    • G16H20/70—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to mental therapies, e.g. psychological therapy or autogenous training

Definitions

  • the present invention relates to a health management support device, a method, and a program for supporting a user's health management.
  • the lifestyle improvement support system disclosed in Patent Literature 1 formulates a lifestyle improvement plan using information on the user's constitution, and thus can present a lifestyle improvement plan suited to an individual user. it can.
  • the present invention has been made in view of the above circumstances, and an object of the present invention is to provide a health management support device, a method, and a program that enable a user to maintain motivation for improving lifestyle habits. It is.
  • the present invention employs the following configuration in order to solve the above-mentioned problems.
  • a health management support device includes a first acquisition unit that acquires health condition information about a user's health condition, a second acquisition unit that acquires lifestyle information about the user's lifestyle, and the health condition.
  • a first determining unit for determining whether the health condition is bad on the basis of the information, and responding to the first determining unit determining that the health condition is bad, Determining whether there is a difference between the lifestyle information of a first period set based on the first period and the lifestyle information of a second period different from the first period.
  • a determination unit and an output unit that outputs instruction information for prompting improvement of the lifestyle in response to the determination by the second determination unit that there is the difference.
  • the user's health condition is bad, it is detected whether or not the lifestyle information has changed.
  • the user is notified that the change in the lifestyle information is a cause of the poor health condition of the user, and the user is prompted to improve the lifestyle.
  • This makes it possible to present an appropriate notification that prompts an improvement in lifestyle when the health condition is poor.
  • the user since the user does not need to be constantly conscious of the improvement of the lifestyle, it is easy to maintain the motivation for the improvement of the lifestyle.
  • the second acquisition unit may acquire the lifestyle information on a plurality of types of lifestyle, and the second determination unit may determine the lifestyle in the first period for each type. It may be determined whether there is a difference between the information and the lifestyle information of the second period, and the type having the difference may be specified, and the output unit may output the specified type of life.
  • the instruction information for urging improvement of the habit may be output.
  • the plurality of types of lifestyle include at least one of salt intake, alcohol consumption, smoking, sleeping time, meal time, drinking time, medication time, and medication days.
  • the first determination unit may determine whether the health condition is bad by performing a threshold process on the health condition information on the target date, and the first period is For example, the period is a period from the date that is a predetermined number of days before the target date to the target date, and the second period is, for example, a period before the target date and in which the health condition is good.
  • the cause of the poor health condition is in the lifestyle immediately before that. It is considered that the main factor that deteriorates the health condition is the lifestyle immediately before the health condition deteriorates. For this reason, it is possible to efficiently detect the cause of the poor health condition.
  • the first determination unit determines whether the health condition of the first period is based on a comparison between the health condition information of the first period and the health condition information of the second period. You may determine whether it is bad. According to this configuration, it is possible to detect that the health condition has deteriorated.
  • the health management support device may further include a setting unit that sets a target value related to the improvement of the lifestyle based on the lifestyle information of the second period, and the output unit includes: The instruction information including a target value may be output.
  • the target value is set based on the user's own past lifestyle information, the target value suitable for the user can be presented.
  • the present invention it is possible to provide a health management support device, a method, and a program that enable a user to maintain motivation for improving lifestyle.
  • FIG. 1 is a diagram illustrating a health management support system according to an embodiment.
  • FIG. 2 is a block diagram illustrating a hardware configuration of the health management device according to the embodiment.
  • FIG. 3 is a block diagram illustrating a software configuration of the health management device according to the embodiment.
  • FIG. 4 is a flowchart illustrating a health management support method according to an embodiment.
  • FIG. 5 is a flowchart illustrating a health management support method according to an embodiment.
  • FIG. 1 illustrates a health management support system 10 according to an embodiment.
  • the health management support system 10 includes a health device 20, a user terminal device 30, and a health management support device 40.
  • the user terminal device 30 directly wirelessly communicates with the health device 20, and wirelessly communicates with the health management support device 40 via a communication network such as the Internet.
  • the health device 20 measures an index related to the user's health condition.
  • the health condition indicates, for example, a physical condition.
  • the index is, for example, blood pressure (for example, systolic blood pressure and / or diastolic blood pressure), weight, BMI (BodyBMass Index), number of steps, amount of activity, sleep time, and the like.
  • the health device 20 is an oscillometric sphygmomanometer, which measures the user's blood pressure in response to the user's operation, and measures the systolic blood pressure measurement and the diastolic blood pressure measurement. Generate measurement data including The measurement data is transmitted to the health management support device 40 via the user terminal device 30.
  • the user terminal device 30 may be, for example, a computer such as a personal computer (PC), a smartphone, and a mobile phone.
  • the user terminal device 30 may be a stationary computer or a mobile computer.
  • the user terminal device 30 is a smartphone carried by the user.
  • the health management support device 40 may be, for example, a computer such as a server.
  • the health management support device 40 includes a first acquisition unit 41, a second acquisition unit 42, a first determination unit 43, a second determination unit 44, and an output unit 45.
  • the first acquisition unit 41 acquires health condition information on the user's health condition.
  • the health condition information includes, for example, health condition information on at least one type of index.
  • the user measures the blood pressure with the health device 20 every day.
  • the first acquisition unit 41 receives the measurement data from the health appliance 20 via the user terminal device 30 every day, and updates the health condition information regarding the blood pressure with the received measurement data.
  • the health condition information on the blood pressure includes information indicating the transition of the systolic blood pressure and information indicating the transition of the diastolic blood pressure.
  • the second acquisition unit 42 acquires lifestyle information on the lifestyle of the user.
  • the second acquisition unit 42 generates or updates lifestyle information based on information received daily from the user terminal device 30.
  • the lifestyle information includes, for example, lifestyle information on at least one type of lifestyle.
  • the lifestyle shows the daily behavior of the user that is considered to affect the health condition.
  • the lifestyle is, for example, salt intake, alcohol consumption, number of smokers, sleeping time, meal time, drinking time, medication time, medication days, and the like.
  • the first determining unit 43 determines whether the user's health condition on the target day is poor based on the health condition information.
  • the health status information includes health status information relating to a plurality of types of indices
  • the first determination unit 43 makes a determination for each type. For example, the first determination unit 43 performs a threshold process on the health condition information to determine whether or not the user's health condition is poor. For example, the first determination unit 43 determines that the health condition is good when the systolic blood pressure is less than 135 mmHg, and determines that the health condition is bad when the systolic blood pressure is 135 mmHg or more.
  • the second determination unit 44 responds to the determination by the first determination unit 43 that the state of health is poor, and the lifestyle information of the first period set based on the target date and the first period It is determined whether there is a difference between the lifestyle information in the second period different from the above.
  • the lifestyle information includes lifestyle information on a plurality of types of lifestyle
  • the second determination unit 44 performs determination for each type. If there is a difference in lifestyle information on a certain type of lifestyle, it is considered that a change in that type of lifestyle has adversely affected the user's health condition.
  • As the first period for example, a period from a date 30 days before the target date to the target date is set.
  • As the second period for example, a period in which the health condition is good is set.
  • the second determination unit 44 calculates the amount of salt intake per day from the lifestyle information of the first period, calculates the amount of salt intake per day from the lifestyle information of the second period, It is determined whether there is a difference between them. For the determination, for example, threshold processing can be used. First A 1 salt intake per day calculated from lifestyle information for a period, the salt intake per day calculated from lifestyle information of the second period A 2, threshold V TH Then, the second determination unit 44 determines that there is a difference when A 1 ⁇ A 2 > V TH , and determines that there is no difference when A 1 ⁇ A 2 ⁇ V TH .
  • the output unit 45 outputs instruction information for prompting improvement of lifestyle in response to the determination by the second determination unit 44 that there is a difference. For example, the output unit 45 transmits, to the user terminal device 30, instruction information including a message prompting improvement of lifestyle such as “Please refrain from salt intake”. The user terminal device 30 displays a message included in the instruction information received from the health management support device 40.
  • the health management support device 40 determines whether the lifestyle information has changed. Then, when there is a change in the lifestyle information, the health management support apparatus 40 considers that the cause of the poor health condition is the change in the lifestyle information, and presents a notification to the user to promote lifestyle improvement. This makes it possible to present an appropriate notification that prompts an improvement in lifestyle when the health condition is poor. Since the user does not need to always be aware of the improvement of the lifestyle, it is easy to maintain the motivation for the improvement of the lifestyle.
  • the health management support device 40 is shown as a device different from the user terminal device 30, but the health management support device described below is such that the health management support device 40 is incorporated in the user terminal device 30. It was a thing.
  • FIG. 2 illustrates an example of a hardware configuration of the health management support device 100.
  • the health management support device 100 includes a control unit 101, a storage unit 105, an input device 106, an output device 107, a communication interface 108, and a power supply 109.
  • the control unit 101 includes a CPU (Central Processing Unit) 102, a RAM (Random Access Memory) 103, a ROM (Read Only Memory) 104, and controls each component according to information processing.
  • the storage unit 105 is, for example, an auxiliary storage device such as a hard disk drive (HDD) or a semiconductor memory (for example, a flash memory), and is used to execute a program (for example, a health management support program) executed by the control unit 101 and a program. Necessary setting data, health condition information, lifestyle information, and the like are stored in a nonvolatile manner.
  • the storage medium included in the storage unit 105 stores information such as a program, such as a computer or other device or machine, in an electrically, magnetically, optically, mechanically, or chemically It is a medium that accumulates through the action of a human. Note that part or all of the program may be stored in the ROM 104.
  • the input device 106 is a device for performing input.
  • the input device 106 is, for example, a mouse, a keyboard, a camera, a microphone, and the like.
  • the output device 107 is a device for performing output.
  • the output device 107 is, for example, a display, a speaker, or the like.
  • a liquid crystal display (LCD) or an organic EL (Electro-Luminescence) display can be used.
  • the organic EL display is sometimes called an OLCD (Organic Light Emitting Diode) display.
  • a touch screen may be employed as the input device 106 and the output device 107.
  • the communication interface 108 is an interface for communicating with an external device.
  • the communication interface 108 receives information from the control unit 101 and transmits it to an external device.
  • the communication interface 108 receives information from an external device and passes it to the control unit 101.
  • the communication interface 108 includes, for example, a wireless communication module.
  • the wireless communication module includes, for example, a wireless LAN (Local Area Network) module, a short-range wireless communication module, or both of them.
  • the short-range wireless communication module may be, for example, a Bluetooth (registered trademark) module.
  • the communication interface 108 may include a wired communication module instead of or in addition to the wireless communication module.
  • Some programs such as a health care support program may be acquired by the communication interface 108 from a computer on a communication network such as the Internet, and stored in the storage unit 105.
  • the power supply 109 supplies power to components such as the control unit 101.
  • the power supply 109 is, for example, a rechargeable battery.
  • the control unit 101 may include a plurality of processors.
  • the health management support device 100 may include an acceleration sensor and / or a gyro sensor.
  • the control unit 101 can calculate the number of steps or the amount of activity based on the output of the acceleration sensor and / or the gyro sensor. That is, the health management support device 100 can include a pedometer or an activity meter.
  • the activity amount is an index related to the user's physical activity such as walking, housework, desk work, and the like.
  • the activity amount may be, for example, calorie consumption, fat burning amount, and the like.
  • FIG. 3 illustrates an example of a hardware configuration of the health management support device 100.
  • the health management support device 100 includes a health condition information acquisition unit 151, a lifestyle information acquisition unit 152, an attribute information acquisition unit 153, a health condition determination unit 154, a lifestyle determination unit 155, and a target value setting unit 156.
  • the health condition information acquisition unit 151, the lifestyle information acquisition unit 152, the attribute information acquisition unit 153, the health condition determination unit 154, the lifestyle determination unit 155, the target value setting unit 156, and the output unit 157 are provided by the health management support device 100.
  • the control unit 101 executes the following process by executing the program stored in the storage unit 105. When the control unit 101 executes the program, the control unit 101 loads the program on the RAM 103. The control unit 101 controls the components by interpreting and executing the program developed in the RAM 103 by the CPU 102.
  • the health status information storage unit 171, the lifestyle information storage unit 172, and the attribute information storage unit 173 are realized by the storage unit 105.
  • the health condition information acquisition unit 151 acquires health condition information on the health condition of the user, and stores the acquired health condition information in the health condition information storage unit 171.
  • the health condition information acquisition unit 151 receives measurement data from a health device (for example, the health device 20 illustrated in FIG. 1) via the communication interface 108, and adds the received measurement data to the health condition information storage unit 171.
  • the health condition information acquisition unit 151 may receive, from the input device 106, measurement data input by the user using the input device 106.
  • the health condition information acquisition unit 151 may additionally add the measurement data generated in the health management support device 100 to the health condition information storage unit 171.
  • the health condition information acquisition unit 151 corresponds to the first acquisition unit of the present invention.
  • the health condition information includes health condition information on at least one of blood pressure, weight, BMI, number of steps, amount of activity, and sleep time.
  • the health condition information regarding the blood pressure includes a blood pressure value for each day, that is, information indicating a transition of the blood pressure value.
  • the health condition information includes the health condition information on the BMI
  • the user may input the BMI value
  • the user may input the weight value
  • the health status information acquisition unit 151 may calculate the BMI from the input weight value. It may be calculated.
  • the height of the user required to calculate the BMI is included in attribute information described later.
  • the lifestyle information acquisition unit 152 acquires lifestyle information on the lifestyle of the user, and stores the acquired lifestyle information in the lifestyle information storage unit 172.
  • the lifestyle information acquisition unit 152 generates lifestyle information based on information input by the user using the input device 106.
  • the user may input the amount of salt taken each time he eats a meal.
  • the user inputs the contents of the meal each time he or she eats, and the lifestyle information acquisition unit 152 calculates the amount of salt consumed by the user in each meal with reference to a meal database (not shown). Is also good.
  • the user may image a meal with the camera of the input device 106, and the lifestyle information acquisition unit 152 may calculate the amount of salt consumed by the user based on the image data of the meal.
  • the lifestyle information acquisition unit 152 may receive lifestyle information from an external device via the communication interface 108.
  • the lifestyle information acquisition unit 152 may receive, via the communication interface 108, a measured value of the user's sleep time from a sleep meter that measures sleep time.
  • the lifestyle information acquisition unit 152 corresponds to the second acquisition unit of the present invention.
  • the attribute information acquisition unit 153 acquires the attribute information of the user, and stores the acquired attribute information in the attribute information storage unit 173.
  • the attribute information is information representing the characteristics of the user.
  • the attribute information includes, for example, information on gender, age, height, and the like.
  • the attribute information acquisition unit 153 receives, from the input device 106, attribute information input by the user using the input device 106.
  • the health condition determination unit 154 reads the health condition information from the health condition information storage unit 171 and determines whether or not the user's health condition is poor based on the health condition information.
  • the determination on the health condition is executed based on a comparison between the health condition information on the target day and a preset threshold value.
  • the determination on the health condition is based on a comparison between the health condition information of the first period determined based on the target date and the health condition information of the second period different from the first period. Executed.
  • the operation mode may be switched by the user between the first operation mode and the second operation mode. Each operation mode will be described later.
  • the lifestyle habit determination unit 155 operates in response to the determination by the health status determination unit 154 that the user's health status is poor.
  • the lifestyle determining unit 155 determines whether there is a difference between the lifestyle information of the first period and the lifestyle information of the second period.
  • the lifestyle determination unit 155 determines that there is a difference in a certain type of lifestyle, the lifestyle determination unit 155 provides a determination result including identification information for identifying the type to the target value setting unit 156.
  • the target value setting unit 156 receives the determination result received from the lifestyle determination unit 155, and sets a target value related to improvement of lifestyle based on the received determination result.
  • the method of setting the target value differs depending on the type of lifestyle.
  • the target value is determined based on the lifestyle information for the second period.
  • the output unit 157 outputs instruction information for urging the improvement of lifestyle.
  • the instruction information includes the target value set by the target value setting unit 156.
  • the output unit 157 displays, for example, instruction information on a display as the output device 107. For example, "Please reduce salt intake by 2 g per day" is displayed.
  • a threshold is set for each type of index.
  • the threshold value may be set manually or automatically. The user can switch between setting the threshold manually and setting the threshold automatically. When the threshold is manually set, the user sets the threshold for each index using the input device 106.
  • the threshold is automatically set, for example, a parameter determined by an institution such as an academic society may be used as the threshold.
  • the systolic blood pressure systolic blood pressure measured at home
  • the diastolic blood pressure diastolic blood pressure measured at home
  • the threshold value for the systolic blood pressure is set to, for example, 135 mmHg
  • the threshold value for the diastolic blood pressure is set to, for example, 85 mmHg.
  • the threshold value for the BMI is set to, for example, 25 kg / m 2 .
  • the threshold value regarding the number of steps is set, for example, to 8000 steps / day.
  • the threshold for the sleep time is set, for example, to 7 hours / day.
  • the threshold value may be set in consideration of the attribute information.
  • the ideal sleep time varies with age. Therefore, the threshold value for the sleep time is set to, for example, 7 hours for 10 to 15 years old, 6 hours for 16 to 25 years old, 5 and a half hours for 26 to 45 years old, and 5 hours for 46 years old or older.
  • 2Two thresholds may be set for each index.
  • For the sleep time for example, two thresholds of 5 hours and 9 hours are set. In this case, if the measured value of the sleeping time is in the range of 5 to 9 hours, it is determined that the health condition is good, and if the measured value of the sleeping time is less than 5 hours or exceeds 9 hours, the health condition is poor. Is determined.
  • the user may select one to be improved from the plurality of types of indices. For example, if the user selects an index to improve blood pressure, whether the health condition is good or bad based on the health condition information on systolic blood pressure and diastolic blood pressure regardless of the health condition information on other indicators (for example, BMI) Is determined.
  • BMI health condition information
  • the health condition determination unit 154 determines whether or not the user's health condition is poor by performing a threshold process on the health condition information on the target day. For example, the health condition determination unit 154 determines that the health condition is good when the weight on the target day is less than 65 kg, and determines that the health condition is bad when the weight on the target date is 65 kg or more.
  • the lifestyle determining unit 155 analyzes the lifestyle information of the first period and the lifestyle information of the second period.
  • the first period is, for example, the latest 30 days based on the target date. When the target date is April 15, the first period is a period from March 17 to April 15.
  • the second period is a period in which the health condition is determined to be good.
  • the second period may be, for example, a period before the first period. Note that the second period may include at least a part of the first period.
  • the lifestyle determination unit 155 calculates an average value per day for the salt intake, the alcohol consumption, the number of smokers, and the sleeping time.
  • the lifestyle determination unit 155 calculates the number of times or the ratio for each meal time, the drinking time, and the medication time.
  • the analysis result of the breakfast time shows that seven days had breakfast at seven o'clock, 14 days had breakfast at eight o'clock, and nine days had breakfast at 9 o'clock.
  • the lifestyle determination unit 155 calculates the number of days taken or the ratio (number of days taken for the total number of days) in each period. For example, when the user takes only 7 days out of 30 days, the analysis result on the number of days taken includes information of 23%.
  • the lifestyle determination unit 155 determines whether there is a difference between the lifestyle information of the first period and the lifestyle information of the second period. Specifically, the lifestyle determination unit 155 determines the lifestyle information of the first period based on a comparison between the analysis result of the lifestyle information of the first period and the analysis result of the lifestyle information of the second period. It is determined whether there is a difference between the information and the lifestyle information of the second period.
  • the lifestyle determining unit 155 compares the analysis result of the lifestyle information of the first period with the analysis result of the lifestyle information of the second period. The determination is made based on the degree of deviation between the two. The divergence is, for example, a difference or a ratio.
  • a 1 be the daily salt intake, which is the analysis result of the lifestyle information of the first period
  • a 2 the salt intake per day, which is the analysis result of the lifestyle information of the second period.
  • V TH the lifestyle determination unit 155 determines that there is a difference when A 1 ⁇ A 2 > V TH , and determines that there is no difference when A 1 ⁇ A 2 ⁇ V TH .
  • the lifestyle determination unit 155 determines based on the difference in the time zone having the highest ratio. For example, as an analysis result of the lifestyle information of the first period, the number of days of eating breakfast at 7 o'clock is 7 days, the number of days of breakfast at 8 o'clock is 14 days, the number of days of breakfast at 9 o'clock. Is 9 days, and as a result of the analysis of the lifestyle information in the second period, the number of days that breakfast was eaten at 7 o'clock and the number of days that breakfast was eaten at 8 o'clock were 8 It is assumed that information that breakfast is eaten at 9 o'clock on the 6th is obtained. In this case, the ratio of eating breakfast at 8:00 is the highest in the first period, but the ratio of eating breakfast at 7:00 is the highest in the second period. It is determined that there is a difference in lifestyle between the first period and the second period.
  • the health state determination unit 154 and the lifestyle determination unit 155 that operate in the second operation mode will be described.
  • the health condition determination unit 154 determines whether the health condition is good or bad based on a comparison between the health condition information for the first period and the health condition information for the second period.
  • the health condition information for each period may be, for example, an average value of the measured values in each period. For example, as a method of determining the first period and the second period, three methods of day-based, month-based, and year-based are prepared, and the user selects one of the three methods. On a day basis, the first period is the target date, and the second period is the previous day. For example, if the target date is April 15, the first period is April 15 and the second period is April 14.
  • the first period is a period from the day 29 days before the target date to the target date
  • the second period is a period from 59 days before the target date to 30 days before the target date. It is.
  • the first period is the period from March 17 to April 15, and the second period is the period from February 15 to March 16 It is.
  • the first period is the period from the day 364 days before the target date to the target date
  • the second period is the period from 729 days before the target date to 365 days before the target date. It is.
  • the target date is April 15, 2018, the first period is a period from April 16, 2017 to April 15, 2018, and the second period is April 16, 2016. To April 15, 2017.
  • the health state determination unit 154 determines that the state of health is poor.
  • the threshold value may be a fixed value or may be variable.
  • the health condition determination unit 154 determines that the health condition is bad when the average number of steps in the first period is 1500 steps / day less or more than the average number of steps in the second period, otherwise, the health condition is determined. Is determined to be good.
  • the processes performed by the lifestyle determining unit 155, the target value setting unit 156, and the output unit 157 are the same as those described in the first operation mode. However, in the second operation mode, the first period and the second period targeted by the lifestyle determining unit 155 are the same as the first period and the second period targeted by the health state determining unit 154, respectively. It is.
  • FIG. 4 illustrates an operation flow when the health management support device 100 performs health management support in the first operation mode.
  • the process shown in FIG. 4 is executed, for example, after the input of lifestyle information on a certain day is completed.
  • the user has input the lifestyle information on April 15 on April 16.
  • the process is executed on April 16, but the target date is April 15.
  • step S11 of FIG. 4 the control unit 101 operates as the health condition determination unit 154, and reads the health condition information of the target day from the storage unit 105.
  • step S12 the control unit 101 operates as the health condition determination unit 154, and determines whether the user's health condition is good or bad based on the read health condition information. If the control unit 101 determines that the state of health is good, the process ends. If the control unit 101 determines that the state of health is poor, the process proceeds to step S13. For example, when the systolic blood pressure is 137 mmHg and the diastolic blood pressure is 83 mmHg, the diastolic blood pressure is less than the threshold value of 85 mmHg, but the systolic blood pressure exceeds the threshold value of 135 mmHg. As a result, the control unit 101 determines that the health condition is poor.
  • the control unit 101 may associate a flag according to the result of the determination of the health condition with the health condition information of the target day.
  • a flag is associated with the health condition information of each day. The flag is used, for example, in later step S14.
  • step S13 the control unit 101 operates as the lifestyle determination unit 155, and analyzes the lifestyle information for the first period. For example, the control unit 101 reads out information representing the salt intake from March 17 to April 15 from the storage unit 105 and calculates the salt intake per day. Further, the control unit 101 reads information indicating the number of days that the user took the antihypertensive from March 17 to April 15 from the storage unit 105, and indicates the percentage of the number of days that the user took the drug out of 30 days. Calculate the ratio.
  • step S14 the control unit 101 determines whether there is a period in which the health condition is good.
  • the control unit 101 operates as the lifestyle determination unit 155, and searches for a period in which the health condition is good by referring to a flag associated with the health condition information.
  • the search range is, for example, at least 31 days before the target date (for example, before March 16). If the control unit 101 determines that there is no period in which the health condition is good, the process ends.
  • the control unit 101 determines that there is a period in which the health condition is good, the control unit 101 sets a part or all of the period in which the health condition is good as the second period, and the process proceeds to step S15.
  • step S15 the control unit 101 operates as the lifestyle determination unit 155, and analyzes the lifestyle information for the second period. For example, the control unit 101 reads information indicating the salt intake in the second period from the storage unit 105, and calculates an average value of the salt intake. Further, the control unit 101 reads out information indicating the number of days the user took the antihypertensive during the second period from the storage unit 105, and calculates the medication ratio.
  • step S16 the control unit 101 operates as the lifestyle determining unit 155, and determines whether there is a difference between the lifestyle information of the first period and the lifestyle information of the second period. If the control unit 101 determines that there is no difference, the process ends. If the control unit 101 determines that there is a difference, the process proceeds to step S17.
  • the salt intake in the first period is 8.8 g / day
  • the medication ratio in the first period is 100%
  • the salt intake in the second period is 6.4 g / day
  • Assume that the medication ratio in the period 2 is 100%.
  • the medication ratio in the first period is equal to the medication ratio in the second period, but the salt intake in the first period is 2.4 g / day more than the salt intake in the second period. Is also higher. Therefore, the control unit 101 determines that there is a difference between the lifestyle information of the first period and the lifestyle information of the second period.
  • step S17 the control unit 101 operates as the target value setting unit 156, and sets a target value for improving lifestyle.
  • the control unit 101 sets a target value for a type of lifestyle determined to be different between the first period and the second period.
  • the target value is set, for example, based on the analysis result of the lifestyle information for the second period.
  • the type of lifestyle determined to have a difference between the first period and the second period is a salt intake, and the salt intake in the second period is 6.4 g. / Day.
  • the control unit 101 sets a target value of 6.4 g / day for the salt intake.
  • the control unit 101 sets the target value of eating breakfast at 7:00. Set.
  • the control unit 101 sets a goal of taking the medication every day regardless of the analysis result.
  • step S18 the control unit 101 operates as the output unit 157, and outputs to the user a notification urging the user to improve his / her lifestyle.
  • the control unit 101 causes the display of the output device 107 to display a message “The blood pressure is high. Please reduce the amount of salt intake to 6.4 g / day.”
  • FIG. 5 illustrates an operation flow when the health management support device 100 performs health management support in the second operation mode.
  • the target date is April 15 as in the example referred to in FIG. Further, the processing is performed on a monthly basis.
  • the control unit 101 operates as the health condition determination unit 154 and analyzes the health condition information for the first period. For example, the control unit 101 reads the measured values of the systolic blood pressure and the diastolic blood pressure from March 17 to April 15 from the storage unit 105, and measures the average value of the measured values of the systolic blood pressure and the measurement of the diastolic blood pressure. Calculate the average of the values.
  • step S22 the control unit 101 operates as the health condition determination unit 154, and analyzes the health condition information for the second period. For example, the control unit 101 reads the measured values of the systolic blood pressure and the diastolic blood pressure from February 15 to March 16 from the storage unit 105, and calculates the average value of the systolic blood pressure and the average value of the diastolic blood pressure. I do.
  • step S23 the control unit 101 operates as the health condition determination unit 154, and based on the comparison between the analysis result of the health condition information in the first period and the analysis result of the health condition information in the second period, Is good or bad. If the control unit 101 determines that the state of health is good, the process ends. If the control unit 101 determines that the state of health is poor, the process proceeds to step S24.
  • the average value of the systolic blood pressure in the first period is 134 mmHg
  • the average value of the diastolic blood pressure in the first period is 84 mmHg
  • the average value of the systolic blood pressure in the second period is 132 mmHg
  • the control unit 101 determines that the health condition is bad (worse).
  • step S24 the control unit 101 operates as the lifestyle determination unit 155, and analyzes the lifestyle information for the first period. Since the processing in step S24 is the same as the processing in step S13 shown in FIG. 4, the description of the processing in step S24 is omitted. However, the first period targeted in step S24 is the same as the first period targeted in step S21.
  • step S25 the control unit 101 operates as the lifestyle determination unit 155, and analyzes the lifestyle information for the second period. Since the processing in step S25 is the same as the processing in step S15 shown in FIG. 4, the description of the processing in step S25 is omitted. However, the second period targeted in step S25 is the same as the second period targeted in step S22.
  • steps S26 to S28 are the same as the processes in steps S16 to S18 shown in FIG. 4, and thus the description of the processes in steps S26 to S28 is omitted.
  • the processing procedure described with reference to FIG. 4 or FIG. 5 is an example, and the processing order can be changed as appropriate. Further, the processing content of each step can also be appropriately changed.
  • the health management support device 100 determines whether or not the user's health condition is poor, and when determining that the user's health condition is poor, determines the type of lifestyle that is considered to have adversely affected the user's health condition. Identify and provide a notification to the user that prompts to improve the identified type of lifestyle. Thus, it is possible to make the user aware of the improvement of the lifestyle only when the health condition is poor. Since the user is not always conscious of lifestyle improvement, the user can easily maintain motivation for lifestyle improvement.
  • the health management support device 100 sets a target value for improving lifestyle based on the lifestyle information for the second period. That is, the health management support device 100 sets the target value based on the user's own past lifestyle information. Thereby, a target value suitable for the user can be presented to the user.
  • the health management support device 100 makes a determination based on a comparison between the lifestyle information for the period immediately before the target date and the lifestyle information for the period in which the health condition is good. Since the cause of poor health is often the lifestyle immediately before the target date, it is possible to efficiently detect changes in lifestyle.
  • the health management support device 100 makes a determination based on a comparison between the health condition information of the first period and the health condition information of the second period before the first period. This makes it possible to detect that the health condition has deteriorated compared to before.
  • the health management support device 40 may have only one of the first operation mode and the second operation mode.
  • the health management support device 40 may be configured by a plurality of computers.
  • the present invention is not limited to the above-described embodiment as it is, and can be embodied by modifying constituent elements in an implementation stage without departing from the scope of the invention.
  • Various inventions can be formed by appropriately combining a plurality of constituent elements disclosed in the above embodiments. For example, some components may be deleted from all the components shown in the embodiment. Further, constituent elements of different embodiments may be appropriately combined.

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