WO2016060180A1 - Characteristic evaluation device, characteristic evaluation system, characteristic evaluation method, and characteristic evaluation program - Google Patents

Abstract

Provided is a characteristic evaluation device (1), which stores, in an accumulated manner in a measurement history database (13), measurement information (such as date and time of measurement, measurement value, etc.), in which a subject's vital sign information or activity information is measured with such as a scale (3). On the basis of a history of the measurement information which the measurement history database (13) stores for the subject, a computation processing unit (11) evaluates the subject's psychological characteristics with respect to a vital sign change or an activity modification which the subject has as an objective. A communication unit (14) outputs a result of the evaluation which the computation processing unit (11) has carried out for the psychological characteristics of the subject.

Description

Characteristic evaluation apparatus, characteristic evaluation system, characteristic evaluation method, and characteristic evaluation program

This invention evaluates the psychological characteristics of the subject with respect to the target biological change or behavioral change from measurement information obtained by measuring biological information or behavioral information by various measuring devices. The present invention relates to a characteristic evaluation apparatus, a characteristic evaluation system, a characteristic evaluation method, and a characteristic evaluation program. In addition, a biological change means that the measurable biological information changes. Behavior change means changing a habitual behavior pattern.

In the past, an increasing number of people are working on weight loss for the purpose of preventing lifestyle-related diseases such as diabetes and hypertension. On the other hand, some people work on weight gain to improve hypotension and coldness. Here, weight loss and weight gain are collectively referred to as weight management. A medical institution presents a lifestyle improvement menu for eating and exercising to achieve a target weight for a person who desires weight management (hereinafter collectively referred to as a subject).

In addition, as one of information providing services using the Internet, there is a service that provides information on improvement of lifestyle habits to the target person by e-mail or homepage. For example, a questionnaire is conducted with respect to the subject, and information on improvement of lifestyle habits is provided according to the subject's self-efficacy estimated by answering the questionnaire (Patent Document 1). reference).

“Self-efficacy” is a psychological term advocated by psychologist Albert Bandura, who has confidence and perspective on how well he can perform the actions necessary to produce a result. This self-efficacy is classified into efficacy expectations and outcome expectations.

“Efficacy expectation” refers to the expectation that the behavior (in this case, improvement of lifestyle habits such as diet and exercise for weight loss) can be done well. The result expectation is an expectation that taking the action will lead to a favorable result (in this case, weight loss).

For example, even if a weight loss menu due to exercise or a weight loss menu due to meals is presented to a target for a target related to biological changes such as weight loss, a target with low result expectation or efficacy expectation cannot be executed. Probability is high.

Therefore, in Patent Document 1, in order to provide a weight loss menu by exercise and a weight loss menu by diet according to the subject's self-efficacy as information on lifestyle improvement, Estimate the subject's self-efficacy.

JP 2001-22837 A

However, the estimation of self-efficacy by conducting a questionnaire is based on the premise that the target person answers the questionnaire. That is, it takes time and effort for the target person to answer the questionnaire. In addition, if questionnaires are repeatedly conducted in order to see the transition of the subject's self-efficacy, there will be an unrealistic effort in answering. When a target person answers a questionnaire that is repeatedly performed, although it is premised to answer intuitively, it is greatly influenced by the psychological state at that time. In particular, if the amount of questionnaires is large, the answers are troublesome, and the answers to the questionnaires tend to be biased or the variation becomes large. As a result, the subject's self-efficacy cannot be estimated properly.

An object of the present invention is to provide a technique that can easily evaluate a psychological characteristic (for example, self-efficacy) of a subject with respect to a biological change or behavioral change targeted by the subject.

In order to achieve the above object, the characteristic evaluation apparatus of the present invention includes an input unit, an information storage unit, and an evaluation unit described below.

Measured information, attribute information, or target information obtained by measuring the subject's biological information or behavior information is input to the input unit.

Here, the biological information includes, for example, body weight measurable with a weight scale, body weight measurable with a body composition meter, body fat percentage, visceral fat level, basal metabolism, skeletal muscle percentage, body age, BMI, subcutaneous fat. Subcutaneous fat thickness that can be measured with a meter, visceral fat level that can be measured with a visceral fat meter, heart rate that can be measured with a heart rate monitor, maximum blood pressure that can be measured with a sphygmomanometer, minimum blood pressure, body temperature that can be measured with a thermometer, etc. However, it is not limited to these. The behavior information includes, for example, the number of steps that can be measured with a pedometer or activity meter (you can also distinguish the number of steps taken early or steps up the stairs), calorie consumption, amount of burning fat, and the number of mastications that can be measured with a chewing counter Examples include, but are not limited to, a duration such as jogging that can be measured with a life log, a sleeping time that can be measured with a sleep meter, and a moving distance that can be measured with GPS. Examples of measurement information include, but are not limited to, measurement date and time and measurement values. Examples of the attribute information include, but are not limited to, the subject's sex, age or age, height that cannot be measured with a scale, or BMI calculated from the measured weight. Examples of the target information include, but are not limited to, a target value for each item of weight and body composition, a period for achieving the target, and the like.

The information storage unit stores the measurement information, the attribute information, or the target information input from the input unit. For example, these pieces of measurement information may be stored on the cloud.

The information storage unit stores, for example, a history of the measurement date and time of the subject's weight measured with a scale.

The evaluation unit evaluates the psychological characteristics of the subject with respect to the biological change or behavior modification targeted by the subject based on the measurement information, the attribute information, or the target information. For example, people who have a higher self-efficacy with respect to biological changes, such as reducing their weight, are more interested in their own body changes, and more frequently measure their weight with a scale to check their weight at that time. , The measurement status (for example, the measurement frequency may be mentioned, but the number of measurements, the measurement interval, etc. may be changed). That is, the sense of self-efficacy against a biological change of reducing weight can be estimated from the measurement status (for example, measurement frequency) of the weight with a scale.

According to the characteristic evaluation apparatus having such a configuration, the psychological characteristics (for example, self-efficacy) of the subject with respect to the biological change or behavioral change targeted by the subject can be determined from the measurement state (for example, measurement frequency) of the living body. Can be easily evaluated. Analysis is performed for interpretation of the measurement information stored in the information storage unit, and psychological characteristics such as self-efficacy are estimated from the features and patterns found by the analysis. By repeating these daily, psychological characteristics such as estimated self-efficacy are automatically updated, and past evaluation results are also accumulated as case data. Moreover, since a questionnaire is not conducted with respect to the subject, it does not cause the subject to spend time and effort. However, if necessary, a questionnaire to the user may be used together, or such questionnaire may be automatically transmitted, collected, and evaluated.

In the characteristic evaluation apparatus of the present invention, the measurement information stored in the information storage unit includes at least a measurement date and time, and the evaluation unit is related to a measurement situation acquired from the history of the measurement information. The psychological characteristic may be evaluated at an evaluation point.

Further, in the characteristic evaluation apparatus of the present invention, the evaluation unit includes a measurement frequency included in the measurement situation, the measurement information, the attribute information, or the target information that is equal to or greater than a predetermined threshold value or a predetermined value. If the condition is satisfied, the evaluation point calculation method calculated from the measurement information may be changed stepwise.

Moreover, in the characteristic evaluation apparatus of the present invention, the evaluation unit may interpolate a lack of the measurement information based on the behavior information.

In the characteristic evaluation device of the present invention, the evaluation unit further includes an output unit that outputs an evaluation result of the evaluation of the psychological characteristic of the subject, and the output unit You may output the message according to the evaluation point evaluated about the subject's psychological characteristic as an evaluation result.

Furthermore, in the characteristic evaluation apparatus of the present invention, the measurement information stored in the information storage unit includes a measurement value associated with the measurement date and time when the biological information or the behavior information is measured. The output unit may output, to the target person, an evaluation point evaluated by the evaluation unit for the psychological characteristics of the target person and a message corresponding to a change in the measured value as an evaluation result.

The characteristic evaluation apparatus having such a configuration can support a subject who is working on a biological change or behavior change (for example, weight management).

In addition, the characteristic evaluation system of the present invention includes a measuring device that measures biological information or behavior information of a subject, and any one of the above characteristic evaluation devices, and the measurement information obtained by measurement by the measuring device, The attribute information or the target information is transmitted directly or indirectly to the input unit of the characteristic evaluation device.

In the characteristic evaluation method of the present invention, the information storage step for storing measurement information, attribute information, or target information in which the biological information or behavior information of the subject is measured, and the subject is stored in the information storage step. , An evaluation step for evaluating a psychological characteristic of the subject with respect to a biological change or behavioral change targeted by the subject based on the measurement information, the attribute information, or the target information, and the psychology of the subject in the evaluation step And an output step of outputting an evaluation result evaluated with respect to the target characteristic.

Further, a characteristic evaluation program for causing a computer to execute the above characteristic evaluation method is also within the scope of the present invention.

According to the characteristic evaluation apparatus, characteristic evaluation method, and characteristic evaluation program of the present invention, a psychological characteristic (for example, self-efficacy) of the subject with respect to the biological change or behavioral change targeted by the subject can be easily evaluated. be able to.

It is the schematic which shows the structure of the health support system concerning 1st Embodiment. It is a block diagram which shows the structure of the principal part of a characteristic evaluation apparatus. It is a figure which shows a subject database. It is a figure which shows a measurement history database. It is a flowchart which shows an evaluation process. It is a figure which shows the correlation of the meal self-efficacy by a questionnaire, and the self-efficacy calculated by s4. It is a figure which shows the correlation with the exercise self-efficacy by a questionnaire, and the self-efficacy calculated by s4. It is a figure which illustrates the case where the evaluation result containing an evaluation point is provided to a subject. (A) to (d) are various examples of presentation of evaluation points. (A)-(d) is the schematic which shows each structure of the health support system concerning the various modifications of 1st Embodiment. In the second embodiment, a table showing a specific example of the components of the diet SE _D and exercise SE _E and their corresponding relationship. 12 is a table showing an example of an index corresponding to a small classification of constituent elements for each SE type as in FIG. 11. Each estimation formula diet SE _D and exercise SE _E by multiple regression analysis is a flowchart illustrating a method to formulate. (A), (b) is a graph showing the correlation between self-efficacy dietary SE _D and exercise SE _E and surveys obtained by the method shown in FIG. 13. It is a figure which illustrates the case where the evaluation result containing an evaluation point is provided. (A) to (d) are various examples of presentation of evaluation points. It is an example of presentation of an evaluation point by a radar chart.

Hereinafter, some embodiments of the present invention will be described with reference to the drawings.

<First Embodiment>
1.1 Configuration of Health Support System According to First Embodiment FIG. 1 is a schematic diagram illustrating a configuration of a health support system according to the first embodiment of the present invention. The health support system according to the first embodiment supports a subject who is engaged in weight management for reducing weight. For example, the subject is supported by presenting the subject with a weight loss menu based on meals or a weight loss menu based on exercise. This health support system includes a characteristic evaluation device 1, a portable terminal 2, and a weight scale 3. The portable terminal 2 and the scale 3 are owned by a subject who is engaged in weight management. In this example, the portable terminal 2 and the weight scale 3 are paired.

In FIG. 1, only a pair of mobile terminals 2 and a scale 3 owned by a subject are shown as representatives, and the mobile terminal 2 connected to the characteristic evaluation apparatus 1 via a network is shown. It does not mean that it is only this target person. A large number of subject mobile terminals 2 are connected to the characteristic evaluation apparatus 1 via a network.

The scale 3 has a short-range wireless communication function that can measure the weight and transmits the measurement result to the portable terminal 2 by short-range wireless communication. Examples of the short-range wireless communication function include, but are not limited to, communication using NFC or FeliCa (registered trademark) or communication using Bluetooth (registered trademark). The body weight scale 3 may be a body weight body composition meter (also simply referred to as a body composition meter) capable of measuring not only body weight but also body fat percentage, BMI (obesity level), and the like. Some body composition monitors of this type have already been commercialized (for example, see http://www.healthcare.omron.co.jp/sp/hbf252f/). In addition, other measuring devices that can measure the biological information of the subject may be used.

The portable terminal 2 has a short-range wireless communication function capable of performing short-range wireless communication with the scale 3 and a network communication function capable of communicating with the characteristic evaluation apparatus 1 via a network such as the Internet. Although this type of portable terminal 2 includes a smartphone that has already been commercialized, a tablet computer or a wearable computer may be used. The portable terminal 2 can be replaced by a personal computer or the like, but is not limited thereto.

FIG. 2 is a block diagram showing the configuration of the main part of the characteristic evaluation apparatus according to the first embodiment. The characteristic evaluation apparatus 1 includes an arithmetic processing unit 11, a subject database 12 (hereinafter referred to as a subject DB 12), a measurement history database 13 (hereinafter referred to as a measurement history DB 13), and a communication unit 14. I have.

The arithmetic processing unit 11 controls the operation of the main body of the characteristic evaluation apparatus 1 and the psychological characteristics (here, the subject's psychological characteristics with respect to weight management (here, weight loss) which is the biological change targeted by the subject). , Self-efficacy). Moreover, the message with respect to a subject is determined according to the evaluation point of the evaluated psychological characteristic. Details of the processing performed by the arithmetic processing unit 11 will be described later. The arithmetic processing unit 11 has a computer on which the characteristic evaluation program according to the present invention is installed, and this computer executes the characteristic evaluation method according to the present invention. In addition, the arithmetic processing unit 11 has a configuration corresponding to the evaluation unit referred to in the present invention.

The target person DB 12 is a database for managing the target person. FIG. 3 is a diagram showing the subject database. The target person mentioned here is a member registered in this health support system, and is working on weight management. The target person DB 12 is a target in which an ID (identification code) for identifying a target person, a registered e-mail address of the target person, a name of the target person, a sex of the target person, a date of birth of the target person, and the like are associated with each target person. It is a database that registered person records.

FIG. 4 shows the measurement history database. The measurement history DB 13 stores measurement data in which the measurement date / time of the weight and the measured weight are associated with each other. The measurement history DB 13 has an area for storing measurement data for twice in the morning and afternoon every day for each subject. In FIG. 4, the area in which the measurement data is not stored means that the subject has not measured the weight and no measurement data exists. The measurement history DB 13 has a configuration corresponding to the information storage unit referred to in the present invention. As shown in FIG. 4, the time-series measurement pattern for measuring the weight is different for each subject.

Here, the measurement history DB 13 is configured to have an area for storing measurement data for two times of morning and afternoon every day for each subject, but has an area for storing measurement data for three times or more. It may be. Or you may comprise so that the area | region of the measurement data memorize | stored every day may not be limited beforehand, but a measurement date and time and a measured value may be matched and stored sequentially. Or each time zone of awakening and going to bed may be preset according to a subject's lifestyle, and it records according to it. In this case, measurements outside of each time zone may be ignored or handled as other time zones.

The communication unit 14 communicates with the mobile terminal 2 via a network. As a result, the weight of the subject and the measurement date / time measured by the scale 3 that is an external measuring machine are input from the communication unit 14 via the portable terminal 2 and are calculated for the subject as will be described later. The message created by the processing unit 11 is output to the mobile terminal 2. That is, the communication unit 14 has a configuration corresponding to the input unit and the output unit referred to in the present invention.

1.2 Operation of Health Support System According to First Embodiment Hereinafter, the operation of the health support system according to the first embodiment will be described.

In this health support system, those who wish to become subjects are registered in this health support system. For example, a person who wishes to become a target person can register his / her name, gender, date of birth, purpose (such as weight loss or increase), e-mail address on the registration page published on the Internet by the characteristic evaluation apparatus 1 Enter necessary items such as A person who wishes to become a target person is given an ID based on the contents entered on this registration page, and is registered in the target person DB 12. As a result, registration for this health support system is completed, and the subject becomes a target person. In addition, the characteristic evaluation device 1 notifies the target person registered this time of the ID assigned at this time.

Next, measurement of the subject's weight will be described. When the subject measures the weight, the weight scale 3 temporarily stores measurement data in which the measurement date and time and the measured weight are associated with each other in a memory or the like included in the body of the weight scale 3. The weight scale 3 transmits the measurement data temporarily stored in the memory by the short-range wireless communication to the portable terminal 2.

The weight scale 3 and the portable terminal 2 may be configured to communicate with each other by wire. Further, the subject may input the measurement date / time when the weight is measured by the scale 3 or the measured weight to the portable terminal 2.

The portable terminal 2 attaches an ID to the measurement data transmitted from the weight scale 3 and transmits it to the characteristic evaluation apparatus 1. When the characteristic evaluation apparatus 1 receives the measurement data with the ID transmitted from the mobile terminal 2 by the communication unit 14, the characteristic evaluation apparatus 1 stores the measurement data in the measurement history DB 13. Thereby, the characteristic evaluation apparatus 1 memorize | stores measurement data in measurement log | history DB13 about each subject. As described above, this measurement data includes not only the measurement value but also the measurement date and time.

Next, an evaluation process in the arithmetic processing unit 11 for evaluating a psychological characteristic (in this case, self-efficacy) of the subject with respect to weight management, which is a biological change targeted by the subject, will be described. Self-efficacy, as mentioned above, is a psychological term advocated by psychologist Albert Bandura and has the confidence and prospect of how well the actions necessary to produce a result can be achieved. This evaluation process is a process for quantitatively evaluating the magnitude (strength) that the target person can do with respect to the weight loss menu by meal presented to the target person or the weight loss menu by exercise. . Further, in this evaluation process, a message for the subject is created according to the self-efficacy SE evaluated here, and is output by the communication unit 14. The message for this target person is the evaluation result.

FIG. 5 is a flowchart showing this evaluation process. The arithmetic processing unit 11 determines a target person to be subjected to the current evaluation process (s1). In s1, any target person whose ID is registered in the target person DB 12 is determined as a target person to be subjected to the current evaluation process.

The arithmetic processing unit 11 extracts measurement data stored in the measurement history DB 13 for the subject determined in s1 (s2).

The arithmetic processing unit 11 divides the measurement data extracted in s2 into blocks divided by a predetermined period (in this example, one week) (s3). In s3, the measurement data of the subject is classified into one block of measurement data for one week from Monday to the next Sunday.

The arithmetic processing unit 11 calculates the evaluation score of the self-efficacy SE for each block divided in s3 (s4). Here, the self-efficacy SE is expressed as a function of the measurement frequency F by the following equation.

SE = f (F)
In s4, on each day of the block for calculating the self-efficacy SE evaluation score, if the weight is measured with the weight scale 3 in the morning time zone, “1 point” is added and the weight in the afternoon time zone is added. If the weight is measured in total 3, add “1 point”. That is, the self-efficacy SE score calculated for each block is measured at least once in the morning time zone and the afternoon time zone of each day belonging to the block, The maximum is “14 points”. Also, on any day belonging to the block, if the weight has not been measured by the weight scale 3, it is the minimum “0 point”. As described above, in s4, the subject's self-efficacy SE is evaluated in 15 levels from 0 to 14 points.

Further, as described above, the measurement data of the subject is divided into one block of measurement data for one week from Monday to the next Sunday, and the evaluation score of self-efficacy SE is calculated for each block. Therefore, not only the evaluation score of the current self-efficacy SE of the subject but also the temporal change of the evaluation score of the self-efficacy SE of the subject can be obtained.

Here, the reliability of the self-efficacy SE calculated in s4 will be described.

For example, meal self-efficacy is the self-efficacy of a meal that you can not eat too much even if you eat too much, and the measure is the Mayo Clinic, Minnesota, USA. It is known that responses to the 20 items Q1 to Q20 questionnaires prepared by Dr. Clarke (Matthew M. Clark), etc. are normalized to 100 points. For each item (Q1 to Q20), the self-meal is made by answering in 10 steps from “0 points (Min)” when there is no confidence to “9 points (Max)” when there is very confidence. This is a questionnaire to evaluate efficacy.

Q 1: When you are worried or frustrated, you can't eat.

Q 2: Can control meals on weekends (holidays).

Q3: I can put up with a meal until I say no.

Q4: When you are dull, you can not eat.

Q5: I can't eat while watching TV.

Q6: When you feel depressed, you can't eat.

Q7: Even before various foods, you can keep eating.

Q8: I can refuse meals.

Q 9: When you have a headache, you can not eat.

Q10: Can't eat while reading a book.

Q11: When you are angry, you can not eat.

Q12: You can not eat during banquets and drinking parties.

Q13: You can refuse even if you are recommended to eat from around.

Q14: I can't eat when I have pain.

Q15: I can eat without going to bed.

Q16: If you fail, you can't eat.

Q17: Even before high-calorie food, you can keep eating.

Q18: You can refuse a meal until you have pushed all the other way around.

Q19: When you ’re sick, you ca n’t eat.

Q20: When you have fun, you can not eat.

Q1 to Q20 above are quotes from Clark. Self-efficacy in weight management. Journal of Consulting and Clinical Psychology, Vol 59 (5), Oct 1991, 739-744.

FIG. 6 is a diagram showing a correlation between the meal self-efficacy based on the above-described questionnaire and the self-efficacy SE calculated in s4. In FIG. 6, the vertical axis is the score of meal self-efficacy evaluated by the above-mentioned questionnaire on a scale of 100, and the horizontal axis is the evaluation score based on the weight measurement frequency on the scale 3 (evaluation score calculated in s4). It is. A high correlation of R ² = 0.9 or more was found between the food self-efficacy according to the above questionnaire and the self-efficacy SE calculated in s4. From this, it is estimated that the evaluation point of the self-efficacy SE calculated in s4 is sufficiently reliable for the food self-efficacy.

In addition, exercise self-efficacy is a sense of self-efficacy for exercise, such as continuing physical activity, taking time for exercise, or being able to exercise even in situations that impede exercise, It is known that the responses to the 13 items Q31-Q43 questionnaires prepared by Takashi Muto of Dokkyo Medical University and others shown below are normalized to 100 points. For each item (Q31-Q43), exercise self-efficacy is made by answering with 3 choices of “Yes (3 points)”, “No (1 point)”, “Neither (2 points)” Is to evaluate.

Q31: You can exercise even when you get tired from work.

Q32: I can make time to exercise when I'm busy.

Q33: You can exercise even if you are chased by housework.

Q34: I can exercise when I am busy with work.

Q35: I can exercise when I feel sick.

Q36: I can exercise when I'm depressed.

Q37: I can exercise when the weather is bad.

Q38: I can exercise when there is no trainer.

Q39: Can exercise when there are no friends.

Q40: You can exercise without skills.

Q41: You can exercise even if the performance of equipment or equipment is poor.

Q42: I can exercise without participating in competitions and sports competitions.

Q43: I can get up early for exercise.

The above Q31 to Q43 are quotes from Muto T, The development of self-efficacy scale for exercise behavior. The Keio Journal of Medicine 1992, 41 (1): 21-24.

FIG. 7 is a diagram showing the correlation between the exercise self-efficacy based on the above questionnaire and the self-efficacy SE calculated in s4. In FIG. 7, the vertical axis is the score of exercise self-efficacy evaluated by the above-mentioned questionnaire with a maximum score of 100, and the horizontal axis is the evaluation score based on the weight measurement frequency on the weight scale 3 (evaluation score calculated in s4). It is. A high correlation of R ² = 0.8 or higher was found between the exercise self-efficacy based on the above questionnaire and the self-efficacy SE calculated in s4. From this, it is estimated that the evaluation point of the self-efficacy SE calculated in s4 is sufficiently reliable for the exercise self-efficacy.

In other words, it is estimated that the self-efficacy SE score calculated in s4 is sufficiently reliable for both dietary self-efficacy and exercise self-efficacy for weight management.

The arithmetic processing unit 11 creates a message for the subject based on the evaluation score of the self-efficacy SE calculated in s4 (s5). In s5, for example, the arithmetic processing unit 11 determines “low” (0 to 4 points), “medium” (5 to 9 points), or “high” based on the evaluation score of the subject's latest self-efficacy SE. Judgment is made in three stages (10 to 14 points).

For those subjects whose self-efficacy SE is determined to be “low”, it is notified that self-efficacy for weight management is low, and in order to succeed in weight management, it is necessary to increase self-efficacy. Create a message prompting you to be there as an evaluation result. For example, create a message as an evaluation result that strengthens the willingness to work on weight management, such as "I am weak in trying to manage weight. I will work on weight management with a strong feeling."

Also, for the subject who has determined that the self-efficacy SE is “medium”, since self-efficacy for weight management is common, a message is created to increase the self-efficacy of the subject. For example, create a message as an evaluation result that will strengthen your feelings about weight management, such as "If you do a little more work, your chances of succeeding in weight management are extremely high."

In addition, for a subject who has determined that the self-efficacy SE is “high”, a message is created to maintain the subject's self-efficacy with respect to weight loss. For example, a message that praises the target person is created as an evaluation result, for example, “If you continue, weight management will be successful.”

In the characteristic evaluation device 1, the communication unit 14 transmits the message created by the arithmetic processing unit 11 in s5 to the target person by e-mail (s6). The subject receives this e-mail with the portable terminal 2 or a personal computer.

Thus, the characteristic evaluation apparatus 1 according to the first embodiment can easily and appropriately evaluate the subject's self-efficacy with respect to the biological change (weight management here) targeted by the subject. . Moreover, since a questionnaire is not conducted with respect to the subject, it does not cause the subject to spend time and effort. Furthermore, since the characteristic evaluation apparatus 1 creates a message to be transmitted to the target person according to the evaluation score calculated in s4, the characteristic evaluation apparatus 1 can support the target person so as to succeed in weight management.

Further, in s6, not only the message created in s5 but also the self-efficacy SE evaluation score for weight management calculated in s4 may be transmitted to the subject as shown in FIG. Or you may provide a leader with the evaluation result containing an evaluation score. This can lead to improved instruction efficiency and support.

As an example of presentation of evaluation points, if the bar graph is displayed as shown in FIGS. 8 and 9A, the height of the self-efficacy SE can be easily grasped. If it is displayed with numerical values and levels as shown in FIG. 9B, the desire for improvement can be easily obtained. If the time-series change is displayed in a graph as shown in FIG. 9C, it is easy to grasp the change in the self-efficacy SE. Further, if the time series change is displayed in a graph with reference to the start time as shown in FIG. 9D, the change from the start time can be easily grasped. However, the display of evaluation points is not limited to such an example.

In the above description, a message for the subject is created based on the latest evaluation score of the subject's self-efficacy SE. In addition, a message for the target person may be created. For example, for a subject who tends to have a lower self-efficacy SE for weight management (evaluation score calculated in s4 tends to decrease), it can be estimated that the feeling of tackling weight management has decreased. Create a message such as “Let's work on weight management.” In addition, since it can be presumed that the subject who has a tendency to increase the self-efficacy SE for weight management (the tendency that the evaluation score calculated in s4 rises) is increasing, the feeling of tackling weight management is strong. Create a message such as “Let's work on weight management in tune”.

Also, a message may be created taking into account fluctuations in the measured weight value. For example, a message such as “Let's work harder and work on weight management” is created as an evaluation result for a subject whose weight tends to increase. On the other hand, for a subject whose weight is declining, a message such as “I am in good condition and have a weight management effect. I will do my best in this condition” is created as an evaluation result.

Furthermore, for subjects with low self-efficacy SE for weight management, the meal menu and exercise menu to be presented may be changed to ones that are easier to tackle even if the effect on weight loss is reduced. In this way, the self-efficacy SE for the weight management of the subject can be gradually increased. Conversely, for subjects who have a high self-efficacy SE for weight management, the meal menu or exercise menu to be presented may be changed to one that has a large effect on weight loss.

The invention of the present application can also be implemented by incorporating the function of performing the evaluation process shown in FIG. In this case, what is necessary is just to display an evaluation result on the display part provided in the weight scale 3 main body. The subject is a person whose weight is measured by the scale 3.

In addition, the present invention is not limited to the above-described weight management for reducing body weight, but for the purpose of preventing lifestyle-related diseases, the biological change targeted by the subject is weight management for increasing weight, suppression of body fat percentage, Even for suppression of BMI (obesity level), suppression of blood pressure, etc., the psychological characteristics (for example, self-efficacy) of the subject can be easily evaluated from the measurement frequency of the living body.

When the self-efficacy SE is “high”, in addition to “high interest in changes in the body” obtained at the measurement frequency F, “high intention to stabilize the life rhythm” obtained at the measurement time T “S” may be added to the evaluation formula to evaluate in more detail.

SE = f (F, T)
For example, when the target person is working on weekdays and taking a weekend holiday, the measurement time (wake-up time, bedtime) tends to be different between weekdays and weekends. Regardless of weekdays and Saturdays and Sundays, in the case of a subject whose measurement time is substantially constant, the lifestyle is stable and the self-efficacy SE that can lead a regular life is high.

First, if the body weight is measured by the scale 3 in the morning and afternoon of each day of each block (for example, one week), the score is calculated by adding and counting the corresponding points. When a block is one week, the evaluation score for each block is in the range of 0 to 14 points.

By the way, in the above description, the self-efficacy SE of the subject was determined as one of three stages of “low”, “medium”, and “high” based on the evaluation points of only the most recent block. The self-efficacy SE of the subject is evaluated based on the evaluation points of the respective blocks in the past fixed period including the latest (for example, the past 4 weeks).

For example, if any one of the evaluation points of each block for a certain period in the past has 6 points or less, it can be estimated that even the habit of measuring body weight at least once a day has not yet become established. The feeling SE is determined as “low”. On the other hand, if the evaluation score of each block is 10 points or more over a certain period of time in the past, it can be estimated that not only the body weight is measured daily but also the morning and evening measurements are accustomed to some extent. The feeling SE is determined as “high”. If none of these applies, the subject's self-efficacy SE is determined to be “medium”. However, the determination is not limited to this. For example, the determination may be made in consideration of the recording state of the measurement data by the activity meter (average number of steps, calorie consumption, variation, variation within the week, etc.).

In addition, examples of messages output according to such determination results include the following, but are not limited thereto. For example, as in the determination process described above, a message corresponding to the recording status of measurement data by the activity meter 3A may be added.

Self-efficacy SE "Low"
“Do you forget to measure your weight?
If you forget, try changing the place where the scale is placed. "
Self-efficacy SE "Medium"
“We can see the amount of food and exercise (activity) of the day from the weight difference between morning and evening.

Let's check the weight continuously in the morning and evening. "
Self-efficacy SE "High"
“You can measure well. Please continue.”
<Modification of First Embodiment>
As shown in FIG. 1, the health support system according to the first embodiment described above includes the characteristic evaluation device 1, the portable terminal 2, and the weight scale 3. However, the present invention is not limited to such a configuration. Absent. FIGS. 10 (a) to 10 (d) are schematic views showing each configuration of a health support system according to various modifications of the first embodiment of the present invention.

FIG. 10A shows the amount of activity that can measure the amount of activity (for example, the number of steps and calories consumed and their change over time) as the behavior information of the subject with respect to the configuration of the health support system according to the first embodiment. A total of 3A is added. Similar to the weight scale 3, the activity meter 3 </ b> A has a short-range wireless communication function for transmitting the measurement result to the portable terminal 2 by short-range wireless communication. Furthermore, you may add the other measuring apparatus which can measure a subject's biological change and behavior change. According to such a configuration, it is possible to more accurately grasp the subject's biological changes and behavioral changes, and thus it is possible to improve the evaluation accuracy of psychological characteristics.

FIG. 10B omits the portable terminal 2 from the configuration of the health support system according to the first embodiment, and adds a network communication function capable of directly communicating with the characteristic evaluation device 1 to the weight scale 3. The weight scale is changed to 3x. According to such a configuration, the health support system can be used without having the mobile terminal 2. Note that, as in FIG. 10A, even if another measuring device that can measure a subject's biological change or behavioral change (however, a network communication function that can directly communicate with the characteristic evaluation device 1 is required) is added. Good.

FIG. 10C omits the activity meter 3A from the configuration of the health support system shown in FIG. 10A, and the activity meter function 3a substantially similar to the activity meter 3A for the portable terminal 2. Is incorporated into the portable terminal 2A. According to such a configuration, the subject needs to always wear only the portable terminal 2 that is essentially indispensable for daily life, and does not need to wear the activity meter 3A separately. This eliminates the hassle of constantly wearing the active mass meter 3A in addition to the portable terminal 2, thus preventing the loss of measurement data due to forgetting to wear the active mass meter 3A. Connected. The activity meter function 3a incorporated in the portable terminal 2 may be partially simplified from various functions of the single activity meter 3A.

FIG. 10 (d) is obtained by omitting the weight scale 3 from the configuration of the health support system shown in FIG. 10 (c). According to such a configuration, the health support system can be used without the weight scale 3, and psychological characteristics can be evaluated mainly from the behavioral change of the subject.

Second Embodiment
As one of the modifications of the first embodiment, the health support system shown in FIG. 10A increases the measurement data transmitted from the mobile terminal 2 to the characteristic evaluation device 1 and other data, and performs characteristic evaluation. The second is a modification of the self-efficacy SE evaluation score calculation process (see s4 in FIG. 5) and the message creation process (see s5 in FIG. 5) according to the evaluation score in the arithmetic processing unit 11 of the apparatus 1. Differences from the first embodiment will be mainly described below as an embodiment.

2.1 Data to be transmitted from the portable terminal 2 to the characteristic evaluation apparatus 1 In the health support system shown in FIG. 10A, the weight measured by the weight scale 3, the measurement date and time, and the activity measured by the activity meter 3A Is only transmitted to the characteristic evaluation apparatus 1 via the portable terminal 2 as the biological information and behavior information of the subject. By the way, if the portable terminal 2 has a built-in position information detection function such as GPS, the behavior (for example, movement history, movement distance, movement speed) of the subject can be estimated to some extent from the measurement record. Furthermore, if the map information or the like is also referred to based on the position information included in the movement history, it may be possible to grasp the type of action of the target person. If the schedule data of the subject person is recorded in the mobile terminal 2, this can also be a clue to grasp the type of action of the subject person. In addition, the subject's attribute data (gender, age or age, height that cannot be measured by the scale 3, or BMI calculated from the measured weight, etc.), target data (target values for each item of weight and body composition) If the mobile terminal 2 or the weight scale 3 is also registered in the weight loss program implementation experience, etc., it is useful information.

Therefore, in the second embodiment, it is assumed that the behavior information of the target person recorded in the mobile terminal 2 and other various information are also transmitted to the characteristic evaluation apparatus 1.

2.2 Computation of the subject's self-efficacy score and creation of a message according to the score The subject's goal of self-efficacy for biotransformation is related to multiple lifestyles such as food, exercise, and sleep. However, it is necessary to change the behavior of individual lifestyles toward the target biological change. For example, a subject who has low self-efficacy (mainly expected efficacy SE efficacy) with respect to a weight loss menu due to exercise or meal will be depressed if he cannot do it, and will not execute the presented weight loss menu. On the other hand, if the expected effect SE effect is high but the expected result SE result is low, the motivation is not sufficiently increased, so that the menu may not be executed. On the other hand, if the subject is determined to have a high self-efficacy SE described in the first embodiment, the number of measurements / frequency is high, and the difference between the morning and evening weights measured by the scale 3 can be grasped almost every day. In addition, since there is a high possibility that the measurement data obtained by the activity meter 3A is also sufficient, a more detailed evaluation of the self-efficacy SE is possible. Therefore, the evaluation stage may be shifted to calculate the self-efficacy SE for each lifestyle habit, the result expected SE result, and the effect expected SE efficacy. That is, the calculation method of the self-efficacy SE calculated from the measurement data is changed step by step. Of course, the change of the calculation method is not limited to two steps, and may be performed in three steps or more. Therefore, the self-efficacy SE with respect to the biological change targeted by the subject can be expressed by the following equation.

SE = f (SE _D , SE _E , SE _S ,...)
Here, SE _D is SE for meal, SE _E is SE for exercise, SE _S is SE for sleep, and function f is arbitrarily set from the target self-efficacy. Each SE is composed of the expected effect SE effect as a preceding factor and the expected result SE result as a result factor, and each SE can be expressed by the following equation. However, the content of the function f is actually different (the same applies to the following description).

SE _D = f (SE effect, SE result)
SE _E = f (SE effect, SE result)
SE _S = f (SE effect, SE result)
Figure 11 is a table showing the correspondence between the SE potency, diet and examples of components of the SE results SE _D and motion SE _E. FIG. 12 is a table showing an example of an index corresponding to the small classification of the components in FIG.

In diet SE _D, and the items ○ is marked in the column of SE _D in FIG. 11 and SE components, efficacy expected SE efficacy, expectations or can do well to improve eating habits for weight loss From the diet control W _ME and the measurement actions F and T that appear, the result expected SE result is calculated from the biological change ΔW and the target G, respectively, that the expectation that taking action will lead to weight loss appears. In addition, the environment (number of program executions, elapsed days, work style, occupation / job type, etc.) and attributes (gender, age, etc.) of the target person may be taken into account, and the evaluation formula may be changed. Moreover, the change of the measurement behavior may be constantly monitored to change the evaluation target suitable for the target person, or a barrier SE may be added. This improves the accuracy. The barrier SE is external environment information such as the weather. If the number of steps is constant regardless of the weather, the subject can evaluate that the barrier SE is high.

Here, the meal control W _ME means an appropriate meal amount (intention to keep the meal to an appropriate amount), a variation in meal amount (intention to keep the meal amount constant every day), excessive meal restriction (excessive Willing to not make any dietary restrictions).

The measurement actions F and T are classified into the number of times of measurement F (interest for changes in one's own body) and the measurement time T (intention to stabilize life rhythm).

The amount of biological change ΔW refers to changes in body weight (results of lifestyle improvement efforts, that is, the actual sensitivity linked to body weight values) and body composition changes (results of lifestyle improvement efforts, ie, body compositions such as visceral fat). Actual sensitivity).

The target G is a target value or the like (how much the weight can be controlled through the lifestyle improvement efforts). However, these are only examples. For example, in dietary control W _ME is almost a week constant, measured acts F, T is high, the biological variation ΔW is reduced body weight, target G is high subject can be evaluated and diet SE _D is high. In addition, as shown in FIG. 12, the meal control _WME uses a weight difference between morning and evening (morning / night weight difference) for one week. The period may not be one week, but may be January, one year, a specific day of the week, a season, or the like. Instead of the morning / night weight difference, a weight difference from evening to morning, a weight difference from the morning of the day to the morning of the next day, or a weight difference between the night of the day and the night of the next day may be used. Moreover, you may calculate the self-efficacy with respect to a meal by estimating intake calories from a meal photograph.

Similarly, in the exercise SE _E , the items marked with a circle in the column of SE _E in FIG. 11 are SE constituents, and the expected expected SE efficacy is determined from the measurement actions F, T and activity S, and the expected expected SE result is , And calculated from the biological change amount ΔW and the target value G.

Here, the measurement actions F and T, the biological change amount ΔW and the target G are as described above. The activity S is classified into activity amount (exercise habit, that is, intention to walk), activity amount change (intention to increase the activity amount compared to the initial stage), and the like. However, these are only examples.

For example, activity S uses the number of steps per week. The period may not be one week, but may be January, one year, a specific day of the week, a season, or the like. The indicator may not be the number of steps. Examples include calories burned, calories burned, calorie burn, METs (Metabolic equivalents), Ex (exercise), walking distance, sitting time, etc., but are not limited thereto.

As described above, the calculation formula of the diet SE _D and exercise SE _E can be determined from the results expected SE results regarding efficacy expected SE potency or biological about lifestyle. That is, the dietary SE _D, can each in the SE _D result is SE _D efficacy and results expected to be potent expected expressed by the following equation.

SE _D effect _{= f (W ME, F,} T)
SE _D Result = f (ΔW, G)
On the other hand, regarding the motion SE _E , the SE _E efficacy, which is an expected effect, and the SE _E result, which is an expected result, can be expressed by the following equations, respectively.

SE _E efficacy = f (F, T, S)
SE _E result = f (ΔW, G)
Figure 13 is a flow chart illustrating a method to formulate the equation for calculating the meal SE _D and exercise SE _E by multiple regression analysis. Figure 14 is a graph showing the correlation between self-efficacy dietary SE _D and exercise SE _E and surveys obtained by the method shown in FIG. 13. In addition, since multiple regression analysis is a well-known method, detailed description is abbreviate | omitted.

In order to avoid overfitting and multicollinearity, quantitative evaluation is performed using statistical criteria, specifically, Akaike Information Criterion (AIC) and Variance Inflation Factor (VIF). Perform and select variables.

Specifically, as shown in FIG. 13, first, only the explanatory variable possessed data (N = 67 in this example) is left from the evaluation target data (the number of samples N = 127 in this example), and the data that cannot be used is removed. To do.

Next, one variable is selected from each SE category, and a variable set is created with brute force (s11). In this example, about 91 million sets for meals SE _D, was approximately 360,000 set for motion SE _E.

Then, AIC and VIF are calculated by performing multiple regression analysis (s12), for example, the maximum value of VIF <5
Under these conditions, an explanatory variable that minimizes the AIC is determined (s13), the accuracy is evaluated (s14), and the correlation coefficient is calculated (s15).

The questionnaire on food self-efficacy was published in Kobe Jogakuin University Journal (2000), 47 (1), pp. 129-139. SAM) and the validity and reliability of the Japanese version of the suppression status efficacy scale (KC-DEM) ”(Tetsushi Shimai, et al.) Question item of “Relationship between stage of change of exercise behavior and exercise self-efficacy in middle-aged people” (Koichiro Oka) published in Hygiene Magazine (2003), Vol. 50, No. 3, pp. 208-215 using the calculated correlation coefficients, as shown in FIG. 13, for meals SE _D is R = 0.60, for the exercise SE _E becomes R = 0.63.

As an example of presentation of evaluation points, if displayed on a radar chart as shown in FIG. 15 and FIG. 16 (a), it becomes easy to grasp the balance of self-efficacy with respect to individual lifestyle. If it is displayed with numerical values and levels as shown in FIG. 16B, the desire for improvement can be easily obtained. If a time-series change is displayed in a graph as shown in FIG. 16C, the difference and change from other SEs can be easily grasped. Further, if the time series change is displayed in a graph with reference to the start time as shown in FIG. 16D, the change from the start time can be easily grasped. However, the display of evaluation points is not limited to such an example.

Further, since the diet SE _D and exercise SE _E can be estimated with relatively high accuracy, respectively, as shown in FIG. 17, may be displayed separately on the potency expectations and results expected radar charts.

By the way, even if there is a deficiency in the measurement information, there may be a state in which the subject could not be measured unintentionally due to extraordinary behavior such as a business trip or travel. If it is the activity meter 3A, it may be forgotten to wear it. In such a case, it is not always desirable to simply determine that the subject has neglected the measurement.

Therefore, for example, when the cause of the loss of measurement information is estimated based on past measurement information and the possibility that the subject has failed to measure is low, the missing value is interpolated from the past measurement information, etc. You may make it exclude the influence of action. As an interpolation method, past measurement information may be used for replacement, or similar past information such as weekdays, weekends, days of the week, and times may be used for interpolation from the lifestyle of the target person. Further, the behavior information of the subject person (for example, GPS information) recorded in the mobile terminal 2 may be taken into consideration, and the behavior of the subject person when the measurement information is missing may be estimated.

<Other embodiments>
In each of the above-described embodiments, for example, the self-efficacy evaluation formula may be properly used in accordance with the measurement frequency, the elapsed days of the program, the attribute, the target value, and the like.

Further, in each of the above-described embodiments, the psychological characteristics (such as self-efficacy) of the subject are evaluated based on the measurement information obtained by measuring the subject's biological information or behavior information. Thus, the psychological characteristics of the subject may be evaluated.

According to such a configuration, the psychological characteristics of the subject can be calculated more accurately. Furthermore, the amount of the questionnaire every time can be suppressed as compared with the method of estimating self-efficacy from only the questionnaire result as in the prior art. As a result, the burden on the user's answer can be reduced, so that the bias and variation of the answer can be reduced, and the change over time can be confirmed, so that the psychological characteristics of the subject can be calculated more accurately.

This application claims priority based on Japanese Patent Application No. 2014-210865 filed on October 15, 2014 and Japanese Patent Application No. 2015-165203 filed on August 24, 2015 in Japan. The contents of which are hereby incorporated by reference into this application. In addition, the documents cited in the present specification are specifically incorporated in their entirety by referring to them.

DESCRIPTION OF SYMBOLS 1 Characteristic evaluation apparatus 2 Portable terminal 2A Portable terminal 3 Weight scale 3x Weight scale 3A Activity meter 3a Activity meter function 11 Arithmetic processing part 12 Target person database (target person DB)
13 Measurement history database (Measurement history DB)
14 Communication Department

Claims (9)

1. An input unit for inputting measurement information, attribute information, or target information in which the biological information or behavior information of the subject is measured;
   An information storage unit that stores the measurement information, the attribute information, or the target information input from the input unit;
   Based on the measurement information, the attribute information, or the target information, an evaluation unit that evaluates the target person's psychological characteristics with respect to a target biological change or behavior change,
   A device for evaluating characteristics.
2. In the characteristic evaluation apparatus of Claim 1,
   The measurement information stored in the information storage unit includes at least a measurement date and time,
   The said evaluation part evaluates the said psychological characteristic by the evaluation point concerning the measurement condition acquired from the history of the said measurement information, The characteristic evaluation apparatus characterized by the above-mentioned.
3. In the characteristic evaluation apparatus according to claim 2,
   The evaluation unit calculates from the measurement information when the measurement frequency included in the measurement situation, the measurement information, the attribute information, or the target information is equal to or greater than a predetermined threshold or satisfies a predetermined condition. The characteristic evaluation apparatus characterized by changing the calculation method of the evaluation score to perform in steps.
4. In the characteristic evaluation apparatus according to claim 2 or 3,
   The said evaluation part interpolates the defect | deletion of the said measurement information based on the said behavior information, The characteristic evaluation apparatus characterized by the above-mentioned.
5. In the characteristic evaluation apparatus according to any one of claims 2 to 4,
   An output unit that outputs an evaluation result evaluated by the evaluation unit for the psychological characteristics of the subject;
   The said output part outputs the message according to the evaluation point which the said evaluation part evaluated about the said subject's psychological characteristic with respect to a subject as an evaluation result, The characteristic evaluation apparatus characterized by the above-mentioned.
6. In the characteristic evaluation apparatus according to claim 5,
   The measurement information stored in the information storage unit also includes a measurement value associated with the measurement date and time when the biological information or the behavior information is measured,
   The output unit outputs, to the target person, an evaluation point evaluated by the evaluation unit for the psychological characteristic of the target person and a message according to a change in the measured value as an evaluation result. apparatus.
7. A measuring device for measuring the biological information or behavioral information of the subject,
   A characteristic evaluation apparatus according to any one of claims 1 to 6,
   With
   The characteristic evaluation system, wherein the measurement information, the attribute information, or the target information obtained by measurement by the measuring instrument is transmitted directly or indirectly to the input unit of the characteristic evaluation apparatus.
8. An information storage step for storing measurement information, attribute information, or target information in which biological information or behavior information of the subject is measured;
   Evaluation that evaluates the psychological characteristics of the subject with respect to the biological change or behavioral change targeted by the subject based on the measurement information, the attribute information, or the target information stored for the subject in the information storage step. Steps,
   An output step for outputting an evaluation result obtained by evaluating the psychological characteristics of the subject in the evaluation step.
9. A characteristic evaluation program for causing a computer to execute the characteristic evaluation method according to claim 8.

Images