Weight control method and system based on energy metabolism and body composition

Abstract

The invention discloses a weight control method and system based on energy metabolism and body composition, belongs to the technical field of intelligent health management, and provides accurate energy and three nutrient intake suggestions based on data tested by a resting energy metabolism tester and a body composition analyzer so as to realize weight control. The method comprises the following steps: inputting energy metabolism index data, a physical activity coefficient, a body temperature coefficient and a stress coefficient, and calculating energy consumption and an energy supply proportion of three nutrient substances; inputting height, gender and age information, and calculating an ideal body fat rate; inputting body composition index data, and giving energy intake and weight control suggestions; energy metabolism and body composition data are input regularly, and data calibration is completed. According to the invention, energy intake suggestions can be accurately given, and subjects can be guided 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 intelligent health management, maintaining a healthy weight is crucial for promoting good health. Traditional weight control relies on subjective perception or universal methods. Due to individual differences, crude weight control plans can easily lead to excessive weight gain or 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 solutions of the present invention are as follows: The present invention discloses a weight control method based on energy metabolism and body composition, the method comprising: Step S1: Input energy metabolism index data, physical activity coefficient, body temperature coefficient and stress coefficient to calculate energy consumption and energy supply ratio of the three major nutrients; Step S2: Enter 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 recommendations; Step S4: Regularly input energy metabolism and body composition data to complete data calibration.

[0005] In the above technical solution, step S1: inputting energy metabolism index data, physical activity coefficient, body temperature coefficient and stress coefficient, and calculating energy and energy supply ratios of the three major nutrients, includes 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.

[0006] In the above technical solution, step S2: inputting height, gender and age information to calculate the ideal body fat percentage includes the following steps: Step S21: Input height and gender information and calculate ideal weight; Step S22: Calculating the ideal body weight index based on the ideal body weight; Step S23: Input age information and calculate ideal body fat percentage based on ideal body mass index.

[0007] In the above technical solution, step S3: inputting body composition index data and disease status and providing energy intake and weight control suggestions includes 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 advice based on disease status and energy intake.

[0008] In the above technical solution, step S4: regularly inputting energy metabolism and body composition data to complete data calibration includes the following steps: Step S41: Inputting energy metabolism and body composition data every fixed number of days to recalculate basal metabolic energy expenditure; Step S42: Calculating the basal metabolic energy variation coefficient based on the basal metabolic energy; Step S43: Calculating the weight change coefficient based on the body fat percentage and weight; Step S44: calibrating the data according to the basal metabolic energy variation coefficient and the body weight variation coefficient.

[0009] 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 including 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 percentage calculation module, an energy intake and weight control calculation module, a correction coefficient calculation and data calibration module and a data display module: The data input module provides an operation interface for inputting metabolic index data, body composition index data, and basic user information; 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; 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; The energy intake and weight control calculation module provides a calculation method for energy intake and weight control suggestions; The correction coefficient calculation and data calibration module provides calculation methods for basal metabolic energy and body weight change coefficients, energy intake, and weight control suggestion calibration; The data display module provides calculation operations and result display functions.

[0010] The present invention discloses a weight control method and system based on energy metabolism and body composition. The method and system can calculate energy consumption and the functional ratios of the three major nutrients based on energy metabolism and body composition indicator data; and combine the individual's basic information to achieve scientific and accurate personalized energy intake recommendations; and can also complete data calibration through regular data input to achieve more accurate weight control recommendations. BRIEF DESCRIPTION OF THE DRAWINGS

[0011] Figure 1 Flowchart of a weight control method based on energy metabolism and body composition according to an embodiment of the present invention; Figure 2 4 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

[0012] The following is a detailed description of an embodiment of the present invention. This embodiment is implemented based on the technical solution of the present invention, and provides a detailed implementation method and specific operation process. However, the protection scope of the present invention is not limited to the following embodiment.

[0013] The present 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.

[0014] 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 implementation and in conjunction with the accompanying drawings.

[0015] Example 1 A method for weight management based on energy metabolism and body composition, comprising: Step S1: Input energy metabolism index data, physical activity coefficient, body temperature coefficient and stress coefficient to calculate energy consumption and energy supply ratio of the three major nutrients; Step S2: Enter 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 recommendations; Step S4: Regularly input energy metabolism and body composition data to complete data calibration.

[0016] In this embodiment, step S1: inputting energy metabolism index data, physical activity coefficient, body temperature coefficient, and stress coefficient, and calculating energy and energy supply ratios of the three major nutrients, includes 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.

[0017] In this embodiment, step S2: inputting height, gender, and age information to calculate the ideal body fat percentage includes the following steps: Step S21: Input height and gender information and calculate ideal weight; Step S22: Calculating the ideal body weight index based on the ideal body weight; Step S23: Input age information and calculate ideal body fat percentage based on ideal body mass index.

[0018] In this embodiment, step S3: inputting body composition index data and disease status and providing energy intake and weight control suggestions includes 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 advice based on disease status and energy intake.

[0019] In this embodiment, step S4: regularly inputting energy metabolism and body composition data to complete data calibration includes the following steps: Step S41: Inputting energy metabolism and body composition data every fixed number of days to recalculate basal metabolic energy expenditure; Step S42: Calculating the basal metabolic energy variation coefficient based on the basal metabolic energy; Step S43: Calculating the weight change coefficient based on the body fat percentage and weight; Step S44: calibrating the data according to the basal metabolic energy variation coefficient and the body weight variation coefficient.

[0020] In this embodiment, 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 amount of oxygen produced, 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, The energy supply ratio of fat, The energy supply ratio of carbohydrates, 、 、 are the caloric values ​​of fat, protein, and carbohydrates, respectively. 、 are the amounts of fat and carbohydrates, 、 are the respiratory quotients produced by the complete oxidation of fats and carbohydrates, is the non-protein respiratory quotient, which is 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.

[0021] In this embodiment, in step S2, the calculation formula of the ideal body weight is as follows: (8) in, For ideal 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.

[0022] In this embodiment, in step S31, the input body composition index data includes the measured body fat percentage and 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, Reduce your daily energy intake. is the number of days required for weight control; The formula for calculating energy intake of patients is as follows: (12) in, For energy intake, is the total energy required, is the current weight, is the current body fat percentage, is to calibrate the weight, It is to calibrate the body fat percentage. is the caloric value of fat, Reduce your 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 coefficient, 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, It is height; The weight control advice is a fixed statement "consume 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.

[0023] In this embodiment, in step S4, the calculation formula of the basal metabolic energy variation coefficient is as follows: (17) in, is the basal metabolic energy variation coefficient, 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 recommendation 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.

[0024] Example 2 like Figure 1As shown, an embodiment of the present invention provides a weight control method based on energy metabolism and body composition, comprising the following steps: Step S101: Input energy metabolism index data, physical activity coefficient, body temperature coefficient and stress coefficient to calculate energy consumption and energy supply ratio of the three major nutrients; Step S102: Input height, gender, and age information to calculate ideal body fat percentage; Step S103: Input body composition index data and provide energy intake and weight control suggestions; Step S104: regularly input energy metabolism and body composition data to complete data calibration.

[0025] In one embodiment, the above step S101: inputting energy metabolism index data, physical activity coefficient, body temperature coefficient, and stress coefficient, and calculating energy consumption and energy supply ratios of the three major nutrients, specifically includes: Step S1011: input energy metabolism index data and calculate basal metabolic energy consumption; Step S1012: Calculate the energy supply ratio of the three major nutrients by combining the basal metabolic energy consumption and metabolic index data; 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.

[0026] A user uses the method proposed in this article to calculate the oxygen consumption =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).

[0027] 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).

[0028] 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).

[0029] In one embodiment, the above step S102: inputting height, gender, and age information to calculate the ideal body fat percentage specifically includes: Step S1021: Input height and gender information and calculate ideal weight; Step S1022: Calculating the ideal body mass index based on the ideal body weight; Step S1023: Input age information and calculate ideal body fat percentage based on ideal body mass index.

[0030] 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%.

[0031] 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: Step S1031: Input disease status and body composition index data, and provide energy intake recommendations based on basal metabolic energy and ideal body fat percentage; Step S1032: Providing weight control suggestions based on disease status and energy intake.

[0032] 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 the weight is controlled for 5 months, the weight control recommendation is "according to the daily energy intake of 317 kcal less, it is expected that the weight will be reduced by 5 kg after 150 days."

[0033] In one embodiment, the above step S104: regularly inputting energy metabolism and body composition data to complete data calibration specifically includes: Step S1041: Input energy metabolism and body composition data every fixed number of days and recalculate basal metabolic energy expenditure; Step S1042: Calculating the basal metabolic energy variation coefficient based on the basal metabolic energy; Step S1043: Calculating a weight change coefficient based on body fat percentage and weight; Step S1044: calibrate the data according to the basal metabolic energy variation coefficient and the body weight variation coefficient.

[0034] If the user enters basal metabolic energy consumption after 7 days =2001 kcal, body fat percentage =23.18%, weight =79 kg, then the basal metabolic energy variation coefficient is =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.

[0035] Example 3 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: M1: Input module, which provides an operation interface for inputting metabolic index data, body composition index data, and basic user information; M2: Metabolic energy consumption and the energy supply ratio of the three major nutrients are calculated. It provides calculation methods for basal metabolic energy consumption, total energy required by the human body, and the energy supply ratio of the three major nutrients. M3: Weight, body mass index and body fat percentage calculation module, providing calculation methods for ideal weight, calibrated weight, body mass index, calibrated body mass index, ideal body mass index, calibrated body fat percentage and ideal body fat percentage; M4: Energy intake and weight control calculation module, providing calculation methods for energy intake and weight control suggestions; M5: Correction coefficient calculation and data calibration module, providing calculation methods for basal metabolic energy and weight change coefficients, energy intake and weight control recommendation calibration; M6: Data display module, providing calculation operation and result display functions.

[0036] The technical solution of the present invention is not limited to the above-mentioned specific embodiments. Any 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.

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 1, characterized in that: 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 advice based on disease status and energy intake.

5. A weight control method based on energy metabolism and body composition according to claim 1, characterized in that: 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: Calibrate the data according to the basal metabolic energy variation coefficient and the body weight variation coefficient.

6. 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.

7. 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.

8. A weight control method based on energy metabolism and body composition according to claim 4, characterized in that: 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.

9. A weight control method based on energy metabolism and body composition according to claim 5, characterized in that: 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.

10. A weight control system based on energy metabolism and body composition, characterized in that: It includes data input module, metabolic energy consumption and three major nutrients energy supply ratio calculation module, weight, body mass index and body fat rate calculation module, energy intake and weight control calculation module, correction coefficient calculation and data calibration module and data display module: The data input module provides an operation interface for inputting metabolic index data, body composition index data, and basic user information; 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; 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; The energy intake and weight control calculation module provides a calculation method for energy intake and weight control suggestions; 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; The data display module provides calculation operation and result display functions.

Images