A weight control method and system based on energy metabolism and body composition

Abstract

The present invention discloses a weight control method and system based on energy metabolism and body composition. The present invention belongs to the field of intelligent health management technology. The present invention provides accurate energy and three major nutrient intake recommendations based on the data measured by a resting energy metabolism tester and a body composition analyzer, thereby achieving weight control. The method comprises: inputting energy metabolism index data, physical activity coefficient, body temperature coefficient and stress coefficient, calculating energy consumption and energy supply ratio of the three major nutrients; inputting height, gender and age information, calculating ideal body fat percentage; inputting body composition index data, providing energy intake and weight control recommendations; regularly inputting energy metabolism and body composition data, and completing data calibration. The present invention can accurately provide energy intake recommendations and guide subjects to complete weight control.

Description

Technical Field

[0001] The present invention belongs to the field of intelligent health management, and specifically relates to a weight control method and system based on energy metabolism and body composition. Background Art

[0002] In the field of smart health management, keeping weight within a good range is of great significance for promoting physical health. Traditional weight control relies on subjective feelings or follows universal methods. Due to individual differences, rough weight control plans can easily cause excessive weight gain or weight loss, causing physical damage. Therefore, developing a weight control method and system based on energy metabolism and body composition can achieve scientific and accurate personalized weight control. Summary of the invention

[0003] The purpose of the embodiments of the present invention is to provide a weight control method and system based on energy metabolism and body composition, aiming to provide a scientific and accurate weight control method, because traditional weight control relies on subjective feelings or follows universal methods, which can easily cause excessive weight gain or weight loss and thus cause physical damage.

[0004] The technical solution of the present invention is as follows:

[0005] The present invention discloses a weight control method based on energy metabolism and body composition, the method comprising:

[0006] Step S1: input energy metabolism index data, physical activity coefficient, body temperature coefficient and stress coefficient, and calculate energy consumption and energy supply ratio of the three major nutrients;

[0007] Step S2: Input height, gender and age information to calculate ideal body fat percentage;

[0008] Step S3: input body composition index data and disease status, and provide energy intake and weight control suggestions;

[0009] Step S4: Regularly input energy metabolism and body composition data to complete data calibration.

[0010] In the above technical solution, the step S1: inputting energy metabolism index data, physical activity coefficient, body temperature coefficient and stress coefficient, and calculating energy and energy supply ratio of the three major nutrients, includes the following steps:

[0011] Step S11: input energy metabolism index data and calculate basal metabolic energy consumption;

[0012] Step S12: Calculate the energy supply ratio of the three major nutrients by combining the basal metabolic energy consumption and metabolic index data;

[0013] Step S13: input the physical activity coefficient, body temperature coefficient and stress coefficient, and calculate the total energy consumption in combination with the basal metabolic energy consumption.

[0014] In the above technical solution, the step S2: inputting height, gender and age information to calculate the ideal body fat percentage includes the following steps:

[0015] Step S21: input height and gender information and calculate ideal weight;

[0016] Step S22: Calculating the ideal body weight index according to the ideal body weight;

[0017] Step S23: Input age information and calculate ideal body fat percentage in combination with ideal body mass index.

[0018] In the above technical solution, the step S3: inputting body composition index data and disease status, and providing energy intake and weight control suggestions, includes the following steps:

[0019] Step S31: input disease status and body composition index data, and provide energy intake recommendations based on basal metabolic energy and ideal body fat percentage;

[0020] Step S32: Providing weight control advice based on disease status and energy intake.

[0021] In the above technical solution, the step S4: regularly inputting energy metabolism and body composition data to complete data calibration includes the following steps:

[0022] Step S41: inputting energy metabolism and body composition data every fixed number of days to recalculate basal metabolic energy consumption;

[0023] Step S42: Calculate the basal metabolic energy variation coefficient according to the basal metabolic energy;

[0024] Step S43: Calculating the weight change coefficient according to the body fat percentage and the weight;

[0025] Step S44: Calibrate the data according to the basal metabolic energy variation coefficient and the body weight variation coefficient.

[0026] In order to facilitate the implementation of the weight control method based on energy metabolism and body composition, another object of the embodiment of the present invention is to provide a weight control system based on energy metabolism and body composition, the system includes a data input module, a metabolic energy consumption and three major nutrients energy supply ratio calculation module, a weight, body mass index and body fat rate calculation module, an energy intake and weight control calculation module, a correction coefficient calculation and data calibration module and a data display module:

[0027] The data input module provides an operation interface for inputting metabolic index data, body composition index data, and basic user information;

[0028] The metabolic energy consumption and three major nutrients energy supply ratio calculation module provides a calculation method for basal metabolic energy consumption, total energy required by the human body and the energy supply ratio of the three major nutrients;

[0029] The weight, body mass index and body fat percentage calculation module provides calculation methods for ideal body mass, calibrated body mass index, calibrated body mass index, ideal body mass index, calibrated body fat percentage and ideal body fat percentage;

[0030] The energy intake and weight control calculation module provides a calculation method for energy intake and weight control suggestions;

[0031] The correction coefficient calculation and data calibration module provides a calculation method for basal metabolic energy and body weight change coefficient, energy intake and body weight control suggestion calibration;

[0032] The data display module provides calculation operation and result display functions.

[0033] The present invention discloses a weight control method and system based on energy metabolism and body composition, which can calculate energy consumption and functional proportions of three major nutrients based on energy metabolism and body composition index data; and realize scientific and accurate personalized energy intake recommendations in combination with individual basic information; and can also complete data calibration through regular data input to realize more accurate weight control recommendations. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] Figure 1 is a flow chart of a weight control method based on energy metabolism and body composition in an embodiment of the present invention;

[0035] Figure 2 The figure is a structural block diagram of a weight control system based on energy metabolism and body composition in an embodiment of the present invention. DETAILED DESCRIPTION

[0036] The following is a detailed description of an embodiment of the present invention. This embodiment is implemented on the premise of the technical solution of the present invention, and a detailed implementation method and a specific operation process are given, but the protection scope of the present invention is not limited to the following embodiment.

[0037] The invention discloses a weight control method and system based on energy metabolism and body composition, providing a tool for users to maintain a healthy weight.

[0038] In order to make the purpose, technical solutions and advantages of the present invention more clear, the present invention is further described in detail below through specific implementations and in conjunction with the accompanying drawings.

[0039] Embodiment 1

[0040] A method for weight control based on energy metabolism and body composition, the method comprising:

[0041] Step S1: input energy metabolism index data, physical activity coefficient, body temperature coefficient and stress coefficient, and calculate energy consumption and energy supply ratio of the three major nutrients;

[0042] Step S2: Input height, gender and age information to calculate ideal body fat percentage;

[0043] Step S3: input body composition index data and disease status, and provide energy intake and weight control suggestions;

[0044] Step S4: Regularly input energy metabolism and body composition data to complete data calibration.

[0045] In this embodiment, the step S1: inputting energy metabolism index data, physical activity coefficient, body temperature coefficient and stress coefficient, and calculating energy and energy supply ratio of the three major nutrients, includes the following steps:

[0046] Step S11: input energy metabolism index data and calculate basal metabolic energy consumption;

[0047] Step S12: Calculate the energy supply ratio of the three major nutrients by combining the basal metabolic energy consumption and metabolic index data;

[0048] Step S13: input the physical activity coefficient, body temperature coefficient and stress coefficient, and calculate the total energy consumption in combination with the basal metabolic energy consumption.

[0049] In this embodiment, the step S2: inputting height, gender and age information to calculate the ideal body fat percentage includes the following steps:

[0050] Step S21: input height and gender information and calculate ideal weight;

[0051] Step S22: Calculating the ideal body weight index according to the ideal body weight;

[0052] Step S23: Input age information and calculate ideal body fat percentage in combination with ideal body mass index.

[0053] In this embodiment, the step S3: inputting body composition index data and disease status, and providing energy intake and weight control suggestions, includes the following steps:

[0054] Step S31: input disease status and body composition index data, and provide energy intake recommendations based on basal metabolic energy and ideal body fat percentage;

[0055] Step S32: Providing weight control advice based on disease status and energy intake.

[0056] In this embodiment, the step S4: regularly inputting energy metabolism and body composition data to complete data calibration includes the following steps:

[0057] Step S41: inputting energy metabolism and body composition data every fixed number of days to recalculate basal metabolic energy consumption;

[0058] Step S42: Calculate the basal metabolic energy variation coefficient according to the basal metabolic energy;

[0059] Step S43: Calculating the weight change coefficient according to the body fat percentage and the weight;

[0060] Step S44: Calibrate the data according to the basal metabolic energy variation coefficient and the body weight variation coefficient.

[0061] In this embodiment, in step S1, the input energy metabolism index data is the oxygen consumption, carbon dioxide production and 24-hour urine nitrogen during the test process, and the calculation formula of the basal metabolic energy consumption is as follows:

[0062] (1)

[0063] in, is the basal metabolic energy expenditure, is the amount of carbon dioxide produced, is the oxygen production, is the 24-hour urine nitrogen content. When it is 0, the calculation formula is as follows:

[0064] (2)

[0065] The calculation formula for the energy supply ratio of the three major nutrients is as follows:

[0066] (3)

[0067] (4)

[0068] (5)

[0069] in, The energy supply ratio of protein is The energy supply ratio of fat is The energy supply ratio of carbohydrates is , , are the caloric value of fat, protein, and carbohydrates. , are the amounts of fat and carbohydrates, respectively. , are the respiratory quotients produced by the complete oxidation of fats and carbohydrates, is the non-protein respiratory quotient, calculated by the following formula:

[0070] (6)

[0071] The total energy calculation formula is as follows:

[0072] (7)

[0073] in, The total energy required by the human body, is the physical activity coefficient, is the body temperature coefficient, is the stress coefficient.

[0074] In this embodiment, in step S2, the calculation formula of the ideal body weight is as follows:

[0075] (8)

[0076] in, For ideal body weight, for height, is the gender coefficient;

[0077] The ideal body mass index calculation formula is as follows:

[0078] (9)

[0079] in, is the ideal body mass index, is height;

[0080] The ideal body fat percentage calculation formula is as follows:

[0081] (10)

[0082] in, For the ideal body fat percentage, is the ideal body mass index, For age, is the gender coefficient.

[0083] In this embodiment, in step S31, the input body composition index data includes the measured body fat percentage and body weight, and the energy intake calculation formula includes two types: healthy people and diseased people. The energy intake calculation formula for healthy people is as follows:

[0084] (11)

[0085] in, For energy intake, is the total energy required, is the current weight, is the current body fat percentage, is the ideal weight, is the ideal body fat percentage. is the caloric value of fat, is to reduce the daily energy intake, is the number of days required for weight control;

[0086] The formula for calculating energy intake of the patient population is as follows:

[0087] (12)

[0088] in, For energy intake, is the total energy required, is the current weight, is the current body fat percentage, is the calibration weight, It is to calibrate the body fat percentage. is the caloric value of fat, is to reduce the daily energy intake, is the number of days required for weight control, where the calculation formula for calibrated body fat percentage ABFP is as follows:

[0089] (13)

[0090] in, is the calibrated body mass index, It's age. is the sex factor, corrected for body mass index The calculation formula is as follows:

[0091] (14)

[0092] in, It's height. is the calibration weight, calculated as follows:

[0093] (15)

[0094] in, is the ideal weight, is height;

[0095] The weight control recommendations are fixed statements such as "consume more / less food per day" Energy, estimated Days later, weight gain / loss Kilograms", of which The calculation formula is as follows:

[0096] (16)

[0097] in, Indicates the caloric value of fat.

[0098] In this embodiment, in step S4, the calculation formula of the basal metabolic energy variation coefficient is as follows:

[0099] (17)

[0100] in, is the coefficient of variation of basal metabolic energy, is the current basal metabolic energy consumption, is the last basal metabolic energy consumption, is the number of days between intervals;

[0101] The weight change coefficient calculation formula is as follows:

[0102] (18)

[0103] in, is the coefficient of variation of body weight, is the current body fat percentage, is the current weight, is the last body fat percentage, is the last weight;

[0104] The data calibration includes energy intake calibration and weight control suggestion calibration, wherein the energy intake calibration formula is:

[0105] (19)

[0106] in, is the calibrated energy intake, is the uncalibrated energy intake, is the coefficient of variation of basal metabolic energy, is the total energy required, is the cumulative number of days;

[0107] The recommended calibration formula for weight control is as follows:

[0108] (20)

[0109] in, For calibrated weight control recommendations, For uncalibrated weight control recommendations, is the coefficient of variation of body weight.

[0110] Embodiment 2

[0111] like Figure 1 As shown, a weight control method based on energy metabolism and body composition provided by an embodiment of the present invention comprises the following steps:

[0112] Step S101: inputting energy metabolism index data, physical activity coefficient, body temperature coefficient and stress coefficient, and calculating energy consumption and energy supply ratio of the three major nutrients;

[0113] Step S102: input height, gender and age information to calculate ideal body fat percentage;

[0114] Step S103: input body composition index data and provide energy intake and weight control suggestions;

[0115] Step S104: regularly input energy metabolism and body composition data to complete data calibration.

[0116] In one embodiment, the above step S101: inputting energy metabolism index data, physical activity coefficient, body temperature coefficient and stress coefficient, calculating energy consumption and energy supply ratio of the three major nutrients, specifically includes:

[0117] Step S1011: input energy metabolism index data and calculate basal metabolic energy consumption;

[0118] Step S1012: Calculate the energy supply ratio of the three major nutrients by combining the basal metabolic energy consumption and the metabolic index data;

[0119] Step S1012: input the physical activity coefficient, body temperature coefficient and stress coefficient, and calculate the total energy consumption in combination with the basal metabolic energy consumption.

[0120] A user used the method proposed in this article to calculate the oxygen consumption he entered =311.0 ml / min, carbon dioxide production =230.2 ml / min, 24-hour urine nitrogen = 12 g / day, then calculate the basal metabolic energy expenditure =2106 kcal (rounded).

[0121] If the calorific values ​​of fat, protein and carbohydrates are =9.5 kcal / g, =4.3 kcal / g, =4.1 kcal / g, the amounts of fat and carbohydrates are =861, =180, the respiratory quotients produced by the complete oxidation of fat and carbohydrates are =0.7 and =1.0, then calculate the protein energy supply ratio =0.15 (keep two decimal places), fat energy supply ratio =0.66 (keep two decimal places), carbohydrate energy supply ratio =0.19 (keep two decimal places).

[0122] If the physical activity coefficient =1.5, body temperature coefficient =2, stress coefficient =2, then the total energy required by the human body is calculated =3159 kcal (rounded).

[0123] In one embodiment, the above step S102: inputting height, gender and age information to calculate the ideal body fat percentage specifically includes:

[0124] Step S1021: input height and gender information and calculate ideal weight;

[0125] Step S1022: Calculate the ideal body weight index according to the ideal body weight;

[0126] Step S1023: Input age information and calculate ideal body fat percentage in combination with ideal body mass index.

[0127] If the user enters height = 170 cm, male (sex coefficient =1), =27, then calculate the ideal weight =68 kg, ideal body mass index =23.53, ideal body fat percentage =18.25%.

[0128] In one embodiment, the above step S103: inputting the physical activity coefficient, the body temperature coefficient and the stress coefficient, and calculating the total energy consumption in combination with the basal metabolic energy consumption, specifically includes:

[0129] Step S1031: input disease status and body composition index data, and provide energy intake recommendations in combination with basal metabolic energy and ideal body fat percentage;

[0130] Step S1032: Providing weight control suggestions based on disease status and energy intake.

[0131] If the user enters the disease status as healthy, body fat percentage =23.23%, weight = 80 kg, then the recommended energy intake =2847 kcal. If it is controlled for 5 months, the weight control recommendation given is "by consuming 317 kcal less energy per day, it is expected that the weight will be reduced by 5 kg after 150 days."

[0132] In one embodiment, the above step S104: regularly inputting energy metabolism and body composition data to complete data calibration specifically includes:

[0133] Step S1041: inputting energy metabolism and body composition data every fixed number of days to recalculate basal metabolic energy consumption;

[0134] Step S1042: Calculate the basal metabolic energy variation coefficient according to the basal metabolic energy;

[0135] Step S1043: Calculating the weight change coefficient according to the body fat percentage and the weight;

[0136] Step S1044: Calibrate data according to the basal metabolic energy variation coefficient and the body weight variation coefficient.

[0137] If the user enters the basal metabolic energy consumption after 7 days =2001 kcal, body fat percentage =23.18%, weight =79 kg, then the basal metabolic energy change coefficient =0.0071, weight change coefficient = 0.29, then the calibrated energy intake after 7 days =2690 kcal, weight control recommendations after calibration =1.45 kg.

[0138] Embodiment 3

[0139] like Figure 2 As shown, the embodiment of the present invention provides a weight control method and system based on energy metabolism and body composition, including the following modules:

[0140] M1: Input module, providing an operation interface for inputting metabolic index data, body composition index data, and basic user information;

[0141] M2: Metabolic energy consumption and three major nutrients energy supply ratio calculation module, providing the calculation method of basal metabolic energy consumption, total energy required by the human body and the energy supply ratio of the three major nutrients;

[0142] M3: Weight, body mass index and body fat percentage calculation module, providing calculation methods for ideal body weight, calibrated body weight, body mass index, calibrated body mass index, ideal body mass index, calibrated body fat percentage and ideal body fat percentage;

[0143] M4: Energy intake and weight control calculation module, providing calculation methods for energy intake and weight control;

[0144] M5: Correction coefficient calculation and data calibration module, providing calculation methods for basal metabolic energy and body weight change coefficient, energy intake and body weight control recommendation calibration;

[0145] M6: Data display module, providing calculation operation and result display functions.

[0146] The technical solution of the present invention is not limited to the above-mentioned specific embodiments. All technical variations made according to the technical solution of the present invention fall within the protection scope of the present invention.

Claims

1. A weight control method based on energy metabolism and body composition, characterized in that: include: Step S1: input energy metabolism index data, physical activity coefficient, body temperature coefficient and stress coefficient, and calculate energy consumption and energy supply ratio of the three major nutrients; Step S2: Input height, gender and age information to calculate ideal body fat percentage; Step S3: input body composition index data and disease status, and provide energy intake and weight control suggestions; Step S4: regularly input energy metabolism and body composition data to complete data calibration; The step S3 comprises the following steps: Step S31: input disease status and body composition index data, and provide energy intake recommendations based on basal metabolic energy and ideal body fat percentage; Step S32: Providing weight control suggestions based on disease status and energy intake; In step S31, the input body composition index data includes the measured body fat percentage and body weight, and the energy intake calculation formula includes two types: healthy people and diseased people. The energy intake calculation formula for healthy people is as follows: （11） in, For energy intake, is the total energy required, is the current weight, is the current body fat percentage, is the ideal weight, is the ideal body fat percentage. is the caloric value of fat, is to reduce the daily energy intake, is the number of days required for weight control; The formula for calculating energy intake of the patient population is as follows: （12） in, For energy intake, is the total energy required, is the current weight, is the current body fat percentage, is the calibration weight, It is to calibrate the body fat percentage. is the caloric value of fat, is to reduce the daily energy intake, is the number of days required for weight control, where the calculation formula for calibrated body fat percentage ABFP is as follows: （13） in, is the calibrated body mass index, It's age. is the sex factor, corrected for body mass index The calculation formula is as follows: （14） in, It's height. is the calibration weight, calculated as follows: （15） in, is the ideal weight, is height; The weight control advice is a fixed statement "intake more / less per day Energy, estimated Days later, weight gain / loss Kilograms", of which The calculation formula is as follows: （16） in, Indicates the caloric value of fat; The step S4 comprises the following steps: Step S41: inputting energy metabolism and body composition data every fixed number of days to recalculate basal metabolic energy consumption; Step S42: Calculate the basal metabolic energy variation coefficient according to the basal metabolic energy; Step S43: Calculating the weight change coefficient according to the body fat percentage and the weight; Step S44: calibrating data according to the basal metabolic energy variation coefficient and the body weight variation coefficient; In step S4, the calculation formula of the basal metabolic energy variation coefficient is as follows: （17） in, is the coefficient of variation of basal metabolic energy, is the current basal metabolic energy consumption, is the last basal metabolic energy consumption, is the number of days between intervals; The weight change coefficient calculation formula is as follows: （18） in, is the coefficient of variation of body weight, is the current body fat percentage, is the current weight, is the last body fat percentage, is the last weight; The data calibration includes energy intake calibration and weight control suggestion calibration, wherein the energy intake calibration formula is: （19） in, is the calibrated energy intake, is the uncalibrated energy intake, is the coefficient of variation of basal metabolic energy, is the total energy required, is the cumulative number of days; The recommended calibration formula for weight control is as follows: （20） in, For calibrated weight control recommendations, For uncalibrated weight control recommendations, is the coefficient of variation of body weight.

2. A weight control method based on energy metabolism and body composition according to claim 1, characterized in that: The step S1 comprises the following steps: Step S11: input energy metabolism index data and calculate basal metabolic energy consumption; Step S12: Calculate the energy supply ratio of the three major nutrients by combining the basal metabolic energy consumption and metabolic index data; Step S13: input the physical activity coefficient, body temperature coefficient and stress coefficient, and calculate the total energy consumption in combination with the basal metabolic energy consumption.

3. A weight control method based on energy metabolism and body composition according to claim 1, characterized in that: The step S2 comprises the following steps: Step S21: input height and gender information and calculate ideal weight; Step S22: Calculating the ideal body weight index according to the ideal body weight; Step S23: Input age information and calculate ideal body fat percentage in combination with ideal body mass index.

4. A weight control method based on energy metabolism and body composition according to claim 2, characterized in that: In step S1, the input energy metabolism index data are oxygen consumption, carbon dioxide production and 24-hour urine nitrogen during the test process, and the calculation formula of the basal metabolic energy consumption is as follows: （1） in, is the basal metabolic energy expenditure, is the amount of carbon dioxide produced, is the oxygen production, is the 24-hour urine nitrogen content. When it is 0, the calculation formula is as follows: （2） The calculation formula for the energy supply ratio of the three major nutrients is as follows: （3） （4） （5） in, The energy supply ratio of protein is The energy supply ratio of fat is The energy supply ratio of carbohydrates is , , are the caloric value of fat, protein, and carbohydrates. , are the amounts of fat and carbohydrates, respectively. , are the respiratory quotients produced by the complete oxidation of fats and carbohydrates, is the non-protein respiratory quotient, calculated by the following formula: （6） The total energy calculation formula is as follows: （7） in, The total energy required by the human body, is the physical activity coefficient, is the body temperature coefficient, is the stress coefficient.

5. A weight control method based on energy metabolism and body composition according to claim 3, characterized in that: In step S2, the calculation formula of the ideal body weight is as follows: （8） in, For ideal body weight, for height, is the gender coefficient; The ideal body mass index calculation formula is as follows: （9） in, is the ideal body mass index, is height; The ideal body fat percentage calculation formula is as follows: （10） in, For the ideal body fat percentage, is the ideal body mass index, For age, is the gender coefficient.

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