JP5180509B2 - Health management system - Google Patents

Description

  The present invention relates to a health management system for encouraging people to improve their lives.

  Conventionally, a health management system for urging people to improve their lives has been proposed (for example, Patent Document 1). In this type of health management system, it is relatively common to use the amount of human activity as an index for promoting life improvement.

  For example, in the health management system of Patent Document 1, an input unit that inputs data of a measurement object, an acceleration sensor, an activity data processing unit, a calendar unit, a display unit, a storage unit, a data receiving unit, An activity meter (activity state measuring device) composed of a data transmission unit is disclosed.

The activity meter converts the signal (analog signal) output from the acceleration sensor into acceleration data (digital signal), creates activity data (activity intensity) from the converted acceleration data, and based on this activity data. Thus, kinetic energy (exercise consumption) is calculated.
Japanese Patent No. 3027346

  The health management system of Patent Document 1 can calculate and display the number of steps, walking time, walking speed, calorie consumption, etc. for a predetermined period such as one day or one month. It is used for guidance.

  By the way, exercise and nutrition are important factors in improving life and the like. To eliminate obesity, the daily calorie consumption needs to be greater than the daily dietary intake (calorie intake). . Therefore, for example, even if the daily calorie consumption is increased by increasing the amount of exercise, if the amount of nutrition is increased and the daily dietary intake (calorie intake) increases, life improvement is effective. It cannot be said that it was done.

  Therefore, in order to promote effective life improvement, it is desirable that not only calorie consumption but also food intake determination (for example, whether food intake is higher than calorie consumption) can be performed by the health management system. .

  However, the health management system of Patent Document 1 cannot determine the amount of food intake, and is insufficient in promoting effective life improvement.

  The present invention has been made in view of the above points, and an object thereof is to provide a health management system that can easily determine the amount of food intake.

To solve the above problems, the invention of claim 1, the activity amount calculation for calculating an acceleration detection means for detecting acceleration is mounted on a human body, the activity amount based on the acceleration obtained from the acceleration detection means Means, input means for inputting personal information data including data for determining obesity level, storage means for storing the personal information data, and basal metabolism calculation for calculating basal metabolism using the personal information data Means, calorie consumption calculating means for calculating calorie consumption based on the amount of activity and the basal metabolic rate, and food intake for determining dietary intake based on changes in the data for determining obesity and calorie consumption and quantity judging means, and display means for displaying the determination result of the activity amount and the consumed calories and the dietary intake amount determination means, wherein the dietary intake determining means, said If both the calorie cost and the data for determining the obesity level increase, or if one of the calorie consumption and the data for determining the level of obesity increases and the other is unchanged, it is determined that the dietary intake is large. In the case where one of the consumption calorie and the data for determination of obesity is increased and the other is decreased, or both the consumption calorie and the data for determination of obesity are unchanged, the dietary intake is an appropriate amount. If it is determined that there is a decrease in one of the calorie consumption and the obesity determination data and the other is unchanged, or if both the consumption calorie and the obesity determination data are decreased, the food intake It is determined that the amount is small .

According to the first aspect of the present invention, calorie consumption calculated based on the amount of activity calculated based on the acceleration detected by the acceleration detecting means and the basal metabolic rate calculated using personal information data, and data for determining obesity level. By referring to each change, for example, if the data for determination of obesity changes in the direction of increasing obesity, it can be estimated that the dietary intake has exceeded calorie consumption, and the direction of decreasing obesity If the data for determining obesity level changes, it can be estimated that the amount of food intake was less than the calorie consumption, so it is possible to determine the amount of food intake and to promote effective life improvement for the user. . In addition, in order to determine the food intake, for example, it is not necessary to perform a complicated operation such as checking the total calories of the daily meal, and the food intake can be easily determined.

  The invention according to claim 2 is the invention according to claim 1, characterized in that the data for determining obesity is weight data.

  According to the second aspect of the present invention, if the weight data is input as the obesity level determination data, the amount of meal intake can be determined. Therefore, for example, a complicated operation of checking the total calorie of the daily meal is not necessary.

  According to a third aspect of the present invention, in the first aspect of the invention, the obesity level determination data is visceral fat mass data.

  According to the third aspect of the present invention, if the built-in fat amount data is input as the obesity level determination data, the amount of meal intake can be determined. Therefore, for example, a complicated operation for checking the total calorie of the daily meal is required. Disappear. In addition, accurate food intake can be determined.

  According to a fourth aspect of the present invention, in the first aspect of the invention, the obesity level determination data is abdominal circumference data.

  According to the fourth aspect of the present invention, if the abdominal circumference data is input as the obesity level determination data, the amount of meal intake can be determined. Therefore, for example, the complicated work of checking the total calorie of the daily meal is not required. In addition, even if you are out, you can easily determine your food intake if you have a measure.

  The present invention has an effect that a meal intake can be easily determined.

For example, as shown in FIG. 1, the health management system 1 of the present embodiment uses an activity meter 2 that is attached to a human body to calculate an activity amount, and an activity amount obtained from the activity amount meter 2 is used to live. The data processing device 3 is configured to calculate data for improvement.

  The activity meter 2 includes an acceleration detection means 20 that detects accelerations of three axes that are worn on the human body and are orthogonal to each other, and an arithmetic processing means (hereinafter referred to as “first arithmetic processing means”) 21 that performs various data processing. A time measuring means (hereinafter referred to as “first time measuring means”) 22 for obtaining the time and date, and a storage means (hereinafter referred to as “first storage means”) 23 composed of a storage device such as a RAM or HDD; , A display means (hereinafter referred to as “first display means”) 24 comprising an image display device (not shown) such as a liquid crystal display (LCD) and its drive circuit (not shown), and communication with the data processing device 3 Communication means (hereinafter referred to as “first communication means”) 25, operation input means (not shown) for performing on / off operation of the activity meter 2, and the activity meter 2 are driven. Power supply means such as a battery (Fig. And without), and a housing (not shown) for accommodating them. In addition, the said housing | casing consists of resin molded products etc., for example, and is formed in the magnitude | size which a person can carry. Further, the image display device of the first display means 24 is exposed on the front surface of the casing.

  The acceleration detecting means 20 is, for example, a three-axis acceleration sensor (not shown) that outputs each of three-axis accelerations perpendicular to each other in an analog format, and samples the output of the three-axis acceleration sensor at a predetermined period in a digital format. And an acceleration detection circuit (not shown) for converting into an output. Here, the directions of the three axes are preferably the front-rear (traveling) direction of the human body, the width (lateral) direction of the human body, and the height (vertical) direction of the human body. As the three-axis acceleration sensor, for example, an acceleration sensor using a micro electro mechanical system (MEMS) that is small and consumes low power is used. As the acceleration sensor, a piezoresistive acceleration sensor, a capacitance acceleration sensor, or the like can be used. As the triaxial acceleration sensor, a sensor that can output a triaxial acceleration value by combining a biaxial acceleration sensor and a monoaxial acceleration sensor may be used. It is also possible to use one that can output a three-axis acceleration value. Note that a digital output sensor may be used as the three-axis acceleration sensor. In this case, an acceleration detection circuit that performs A / D conversion can be omitted.

  The first arithmetic processing means 21 is made up of hardware resources such as a microcomputer, for example, and an activity amount calculating means 21a for calculating an activity amount based on the acceleration obtained from the acceleration detecting means 20, and a first display means 24. Display control means (hereinafter referred to as "first display control means") 21b for controlling the display and displaying the amount of activity on the image display device, and control means for performing various other controls (hereinafter referred to as "first control means"). 21c) is realized by software or the like that causes hardware resources to perform calculation and processing of information.

  The activity amount calculating unit 21a is configured to calculate an activity amount (exercise intensity) from the acceleration of each axis obtained by the acceleration detecting unit 20 every predetermined time (for example, 10 seconds).

  In the present embodiment, as an activity amount, “METs (”, which is used in the American Sports Medicine Association, is a value indicating how many times the energy consumption at rest (metabolism at rest) is at rest. metabolic equivalents) ”values are used.

Here, since 1 [METs] corresponds to an oxygen consumption amount of 3.5 [ml / kg / min], the above-mentioned activity amount is an acceleration fluctuation average calculated from the acceleration obtained by the acceleration detecting means 20 ( It can be calculated by obtaining the oxygen consumption corresponding to the variation average of acceleration using data indicating the relationship between the sample variance or unbiased variance) and the oxygen consumption. The data includes a data table indicating the relationship between the fluctuation average and the oxygen consumption, an arithmetic expression obtained by the least square method, and the like. Further, such data can be obtained from the correlation between the oxygen consumption measured by changing the intensity of exercise by the breath gas measuring device and the fluctuation average corresponding to the intensity of exercise.

  The first control means 21c is, for example, a function of storing the activity amount calculated by the activity amount calculation means 21a in the first storage means 23 in association with the time and date, or the first communication means 25 from the data processing device 3 to be described later. When the activity amount transmission request signal to be received is received, the activity amount data stored in the first storage means 23 is transmitted to the data processing device 3 by the first communication means 25.

  The data processing device 3 includes a communication means (hereinafter referred to as “second communication means”) 30 for communicating with the activity meter 2 and an arithmetic processing means (hereinafter referred to as “second arithmetic processing”) for performing various data processing. ”Means” 31, timing means (hereinafter referred to as “second timing means”) 32, input means 33, and storage means (hereinafter referred to as “second storage means”) such as a RAM or HDD. 34) and display means (hereinafter referred to as “second display means”) 35 comprising an image display device (not shown) such as a liquid crystal display (LCD) and a driving circuit (not shown) thereof. ing. Such a data processing device 3 is configured using a personal computer or the like.

  The second communication means 30 is configured to be able to communicate with the first communication means 25 of the activity meter 2 by wire or wireless. Since the activity meter 2 is usually worn on the human body, when communicating with the first communication means 25 by wire, the health management system 1 calculates the first for improving life. The communication means 25 is connected by a communication cable or the like.

  The input means 33 is for inputting personal information data including obesity level determination data, and is a user interface such as a keyboard used together with a personal computer, for example. The personal information data in this embodiment includes age data, sex data, height data, and weight data in total, and the weight data is used as data for determining obesity.

  The second arithmetic processing means 31 is composed of, for example, a hardware resource such as a CPU, and a basal metabolism calculating means 31a for calculating basal metabolism (BM) using the personal information data, and an activity meter 2 Consumption calorie calculating means 31b for calculating calorie consumption based on the amount of activity obtained and the basal metabolic rate, and food intake for determining dietary intake based on changes in the data for determining obesity and calorie consumption An amount determination means 31c, a display control means (hereinafter referred to as "second control means") 31d for causing the second display means 35 to display the activity amount, the calorie consumption, and the determination result of the meal intake determination means; Control means (hereinafter referred to as “second control means”) 31e that performs various other controls is a software that causes hardware resources to perform calculation and processing of information. It is realized by air.

  For example, the second control unit 31e transmits the above-described activity amount transmission request signal to the activity meter 2 by the second communication unit 30 in response to the input of the input unit 33, and transmits the activity amount transmission request signal from the activity meter 2 to the first storage unit 23. It has a function of taking in the stored activity amount, a function of storing various data in the second storage means 34, and the like. For example, the second control means 31e is configured such that the activity amount obtained from the activity meter 2, the personal information data input by the input means 33, the basal metabolism calculated by the basal metabolism calculation means 31a, the calorie consumption calculation means 31b. The second storage means 34 stores the calorie consumption calculated by the above, the determination result by the meal intake determination means 31c, and the like. Here, the second control unit 31e is configured to store the data that varies from day to day (for example, weight data, activity amount, calorie consumption, determination result by the meal intake determination unit 31c, etc.) and the second storage unit together with the date. 34 is configured so as to leave a history.

  The basal metabolism calculating means 31a is configured to calculate the basal metabolism (basal metabolism) using the personal information data stored in the second storage means 34.

Here, the basal metabolic rate can be determined from the basal metabolic rate reference value and the body surface area. The basal metabolic rate is B [kcal / h], the basal metabolic rate reference value is D [kcal / m ² / h], the body If the surface area is A [m ² ], then B = D × A.

  The basal metabolic rate reference value is a value determined by gender and age. In this embodiment, the data table shown in Table 1 below is used.

  The body surface area is a value determined by age, weight, and height. If the weight is W [kg] and the height is H [cm], the body surface area A is expressed by the following formulas (1) to (1) to It is represented by either (3). Formula (1) represents body surface area A when age is 0 years, Formula (2) represents body surface area A when age is 1 to 5 years, and Formula (3) represents age 6 The body surface area A when it is over the age is shown.

  Therefore, basal metabolic rate can be calculated by providing age data, gender data, height data, and weight data by personal information data.

  By the way, if the personal information data changes, the value of the basal metabolic rate naturally changes, so that the basal metabolic rate calculating means 31a receives the new personal information data (mainly weight data) from the input means 33. The basal metabolic rate is calculated again. The value of the past basal metabolism may be stored in the second storage unit 34 together with the date on which the basal metabolism is calculated.

The calorie consumption calculation means 31b is configured to calculate the daily calorie consumption using the activity amount obtained from the activity meter 2 and the basal metabolism amount calculated by the basal metabolism amount calculation means 31a. Yes. When calculating the daily calorie consumption, the calorie consumption calculating unit 31b of the present embodiment first calculates the daily average activity amount (based on the daily activity amount calculated by the activity amount calculating unit 2). Activity amount per minute) is calculated, and calorie consumption per minute is calculated from the average activity amount. Here, if the average activity is I [METs] and the basal metabolism per minute is b (= B / 60) [kcal / min], the calorie consumption per minute E _min [kcal / min] is Is expressed by the following equation (4). In addition, the constant k in Formula (4) is a dimensionless constant for converting a basal metabolic rate into a resting metabolic rate, and the value is 1.2.

The daily calorie consumption E _day may be calculated by adding the sum of the daily calorie consumption E _min for one day (ie, 1440 minutes).

In the above method, it is necessary to always measure the acceleration with the activity meter, but it is estimated that the time when the acceleration is not measured (for example, the time when the activity meter is off) was in a resting state. Then, the amount of activity during the time may be regarded as 1 [METs], and the daily calorie consumption E _day may be calculated.

In calculating the daily calorie consumption E _day , diet induced thermogenesis (DIT), which is the amount of heat lost due to the heat production effect of the meal, may be taken into consideration. Such diet-induced heat metabolism is generally equivalent to 10% of the daily calorie consumption E _day . If only calorie consumption due to exercise is evaluated, I-1 may be used instead of I.

The meal intake determination means 31c refers to changes in the daily calorie consumption E _day calculated by the consumption calorie calculation means 31b and the obesity degree determination data (weight data in the present embodiment) to determine the meal intake. Is configured to do.

In determining the meal intake, the meal intake determination means 31c determines how the weight and the daily calorie consumption E _day have changed. For example, the meal intake determination means 31c increases if the weight obtained by subtracting the weight of the previous day from the weight on a specified day is 1 kg or more, decreases if it is −1 kg or more, and determined not to change if it is less than ± 1 kg altered, increased if the value obtained by subtracting the consumed calories _{E day} daily the day before the caloric expenditure _{E day} of the previous day of the specified date is equal to or greater than 100 kcal, decreases if more -100Kcal, if it is less than ± 100 kcal Judged as none. The above numerical values are merely examples and are not intended to limit the present invention.

And the meal intake determination means 31c uses the data table as shown in Table 2 below to determine the meal intake using the determination results of the weight and the daily calorie consumption E _day . In the data table shown in Table 2, “+” indicates an increase, “−” indicates a decrease, and “0” indicates no change in calorie consumption and body weight. In addition, in the food intake, “+” indicates that the food intake is large, “++” indicates that the food intake is very large, “0” indicates that the food intake is an appropriate amount, and “−”. Indicates that the food intake is low, and “-” indicates that the food intake is very low.

  The meal intake determination means 31c may be configured to determine that the meal intake is greater than or equal to the daily calorie consumption when the body weight has increased.

  According to the health management system 1 of the present embodiment described above, consumption calculated based on the amount of activity calculated based on the acceleration detected by the acceleration detecting means 20 and the basal metabolic rate calculated using personal information data. By referring to changes in calorie and obesity determination data, for example, if the obesity determination data has changed in the direction of increasing obesity, it can be estimated that the dietary intake exceeded the calorie consumption, If the data for determining obesity level changes in the direction of decreasing obesity level, it can be estimated that the amount of food intake was less than the calorie consumption. It becomes possible to prompt.

  Therefore, by using the health management system 1 of the present embodiment, the daily calorie consumption is accurately grasped, and the meal intake (meal state) is indirectly grasped from the change and the weight displacement. Provide proper nutrition and exercise guidance.

  Moreover, if the weight data is input as the obesity determination data, the meal intake can be determined. Therefore, in order to determine the meal intake, for example, a complicated operation such as checking the total calories of the daily meal is performed. You don't have to do it, and you can easily determine your dietary intake. As the data for determining the degree of obesity, built-in fat mass data and abdominal circumference data may be adopted. Even in such a case, the same effect as that obtained when the weight data is adopted can be obtained. In particular, if the built-in fat amount data is used, it is possible to accurately determine the amount of meal intake as compared with the case where the weight data and the waist circumference data are used.

  Incidentally, the second control means 31e of the second arithmetic processing means 31 is provided with a function for performing a weight loss simulation. The weight loss simulation displays how much exercise should be performed per day in order to lose the current weight from the current weight to the target weight in the input target period. This will be described with reference to the flowchart shown in FIG.

  In the weight loss simulation, first, in step S1, the input of the target period Ma that is the weight loss period is requested. The target period Ma is input, for example, in units of months, and the initial value is, for example, 3 months.

  In the next step S2, the input of the target weight Wa is requested. The initial value of the target weight Wa is the latest weight (current weight) stored in the second storage unit 34.

  In the next step S3, the weight loss pace ΔW [kg / month] is calculated. If the weight loss pace ΔW is 2 or more (that is, 2 kg or more must be reduced in January), the process proceeds to step S4. If it is less, the process proceeds to step S5. Here, the weight loss pace ΔW is expressed by the following equation (5), where the current weight is Wb. If the weight loss pace ΔW is negative, it is determined that the target weight Wa is not correct, and the process returns to step S1.

  In step S4, after displaying a warning message that the pace of weight loss exceeds the appropriate range, a process of returning to step S1 is performed again to request input of the target period Ma. Note that the process may return to step S2 instead of step S1, or the target period Ma may be lengthened so that the weight reduction pace ΔW is less than 2, and the result may be displayed.

  In step S5, input of the ratio (weight) Irt [%] between meal and exercise is requested. The ratio Irt is a value for allocating the daily energy consumption DCd [kcal / day] necessary for reducing the body weight to the target weight Wa to meals, and the initial value is 30%. The input range of this ratio Irt is 10% to 90%.

  In step S6, the energy Ida [kcal / day] per day to be reduced with meals is calculated. Here, in calculating the energy Ida per day to be reduced by meal, the total energy DC [kcal] that must be consumed by the target weight is calculated. This total energy DC is expressed by the following equation (6) using the fact that 1 g of fat corresponds to a calorie of 7 kcal.

  The energy per day DCd [kcal / day] that must be consumed per day is expressed by the following equation (7). In this weight loss simulation, January is 30 days.

  Therefore, the energy Ida per day to be reduced by meal is expressed by the following equation (8).

  In step S7, Ida calculated in step S6 is displayed on the second display means 35. Here, by displaying the energy Ida per day that is reduced by meal, an index of how much the meal intake is reduced is given to the user.

  In step S8, the ratio Irt is changed, and it is requested to select again whether to calculate the energy Ida per day to be reduced by meal. If the ratio Irt is changed, the process returns to step S5 and the ratio Irt is changed. If not, processing proceeds to step S9.

  In step S9, the user is requested to input the daily energy Id [kcal / day] that is actually reduced by meal due to dietary restrictions. That is, in step S9, the user refers to the energy Ida per day that is actually reduced with meals displayed in step S7, and inputs Id that is scheduled to be reduced due to dietary restrictions or the like.

  In step S10, the energy Ed [kcal / day] to be reduced by exercise is calculated using the energy Id to be actually reduced by meal input in step S9. In calculating the energy Ed per day that is reduced by exercise, first, a ratio Irt 'corresponding to the energy Id per day that is actually reduced by meal is calculated. This ratio Irt 'is expressed by the following equation (9).

  Then, the energy Ed [kcal / day] per day reduced by the exercise is expressed by the following equation (10) using the ratio Irt ′ calculated by the above equation (9).

In step S11, a daily target exercise amount for consuming energy corresponding to the Ed is calculated. For example, the target vehicle movement amount of 1 day and 3 [METs] exercise (for example, a normal gait) period _{T 3} [min] of the day, time _{T 4} the movement of the 4 [METs] Daily (e.g. trotting) [min] and an exercise K ₃ [Ex] when the exercise of 3 [METs] is performed are calculated.

Here, if the activity amount is X [METs], the exercise time T _X [min] required for one day is expressed by the following equation (11), and exercise K when exercise of X [METs] is performed. _X [Ex] is expressed by the following equation (12). Note that b is the basal metabolic rate per minute, and k is a dimensionless constant for converting the basal metabolic rate into a resting metabolic rate.

Therefore, the exercise time T ₃ [min] of 3 [METs] per day is given by the following equation (13), and the exercise time T ₄ [min] of 4 [METs] per day is given by the following equation (14): The exercise K ₃ [Ex] when the exercise of 3 [METs] is performed is expressed by the following equation (15).

In step S12, the times T ₃ and T ₄ calculated in step S11 and the exercise K ₃ are displayed on the second display unit 35, respectively.

In step S12, the average value [min] of the time when the activity amount exceeds 3 [METs] per day calculated based on the activity amount obtained from the activity meter 2 [min], and the activity amount is 4 per day. The average value [min] of the time exceeding [METs] and the exercise value [Ex] for one day are displayed on the second display means 35 together with the times T ₃ , T ₄ and exercise K _3. Also good. Also, the time [min] when the activity amount exceeds 3 [METs] on the predetermined date (for example, the date of the latest history or the first measurement date), the time [min] when the activity amount exceeds 4 [METs], The exercise value [Ex] may be displayed on the second display means 35.

  In step S13, it is requested to select whether to calculate the daily target exercise amount again by changing the energy Id that is actually reduced by meals. If Id is changed, the process returns to step S9, and Id is not changed. If so, the process proceeds to step S14.

  In step S14, it is requested to select whether or not to restart the weight loss simulation from the beginning (select whether to change the target values such as the target period Ma and the target weight Wa and recalculate the daily target exercise amount), If the target value is to be changed, the process returns to step S1, and if the target value is not to be changed, processing for ending the weight reduction simulation is performed.

  According to the weight loss simulation as described above, it is possible to present to the user how much dietary restriction and exercise should be performed, and thus it is possible to prompt the user to make an effective life improvement.

  The daily target exercise amount is not limited to the above example. For example, by requesting the input of the activity amount X, the daily target exercise amount corresponding to the activity amount X is calculated. Also good.

  In the weight loss simulation, the abdominal circumference [cm] may be used instead of the weight [kg]. In this case, in step S2, the input of the target waist circumference Ra [cm] is requested. The initial value of the target waist circumference is 85 cm.

After step S2, the same processing as described above is performed, but the following equations (16) and (17) are used instead of the above equations (5) and (6). Note that the abdominal circumference 1cm is to perform the calculation of the target exercise amount of the day as equivalent to fat 1 k g.

  By the way, in this embodiment, although the health management system 1 is comprised with the active mass meter 2 and the data processor 3, the health meter 2 is provided with all the functions of the data processor 3, and health management is carried out. The system 1 may be configured only by the activity meter 2. In such a case, if the waist circumference data is used as the data for determining the degree of obesity, there is no need for a weight scale or a body fat scale. You can do it.

It is a block diagram of the health management system of one embodiment of the present invention. It is a flowchart of the weight loss simulation in the same as the above.

Explanation of symbols

DESCRIPTION OF SYMBOLS 1 Health management system 20 Acceleration detection means 21a Activity amount calculation means 31a Basal metabolism calculation means 31b Consumption calorie calculation means 31c Meal intake determination means 33 Input means 34 Storage means 35 Display means

Claims (4)

Inputting an acceleration detection means for detecting acceleration is mounted on a human body, the activity amount calculation means for calculating an activity amount based on the acceleration obtained from the acceleration detecting means, the personal information including the obesity determination data Input means; storage means used to store the personal information data; basal metabolism calculating means for calculating basal metabolism using the personal information data; calories consumed based on the activity and basal metabolism Calorie consumption calculating means for calculating the food consumption determination means for determining the food intake based on changes in the obesity degree determination data and the calorie consumption, the activity amount, the calorie consumption and the food intake Display means for displaying the determination result of the quantity determination means ,
When the consumption calorie and the data for determining obesity are both increased, or when one of the consumed calorie and the data for determining obesity is increased and the other is unchanged When it is determined that the amount of food intake is large and either one of the calorie consumption and the data for determining the degree of obesity increases and the other decreases, or both the calorie consumption and the data for determining the degree of obesity remain unchanged If the dietary intake is determined to be an appropriate amount and one of the consumed calorie and the obesity data is reduced and the other is unchanged, or the consumed calorie and the obesity data are A health management system characterized by determining that the food intake is low when both are reduced .   The health management system according to claim 1, wherein the obesity determination data is weight data.   The health management system according to claim 1, wherein the obesity level determination data is visceral fat mass data.   The health management system according to claim 1, wherein the obesity level determination data is waist circumference data.

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