WO2015058729A1 - Systeme et procede d'evaluation detaillee de la sante - Google Patents

Systeme et procede d'evaluation detaillee de la sante Download PDF

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WO2015058729A1
WO2015058729A1 PCT/CN2014/089613 CN2014089613W WO2015058729A1 WO 2015058729 A1 WO2015058729 A1 WO 2015058729A1 CN 2014089613 W CN2014089613 W CN 2014089613W WO 2015058729 A1 WO2015058729 A1 WO 2015058729A1
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intake
module
point
daily
calculated
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PCT/CN2014/089613
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English (en)
Chinese (zh)
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闫波
聂庭文
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闫波
聂庭文
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Priority to CN201480049135.5A priority Critical patent/CN105981015A/zh
Publication of WO2015058729A1 publication Critical patent/WO2015058729A1/fr

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    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/30—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indices; for individual health risk assessment
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H20/00—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
    • G16H20/30—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H20/00—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
    • G16H20/60—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to nutrition control, e.g. diets

Definitions

  • the present invention relates to a system and method for integrated health assessment, and more particularly to a system and method for assessing health risk by calculating a health index.
  • a system and method for comprehensive assessment of health in the process of weight loss or weight control are invented, and in particular, a system and method for assessing health risk by calculating body mass index .
  • the system and method of body mass index can be used alone in the process of weight loss or weight control, and can also be applied to the process of calculating the health index, so as to systematically manage the body weight loss or weight control process, and to lose weight. Or control your weight and make sure you are healthy in the process.
  • Health checkups for healthy or sub-healthy people are to understand health status, early detection of disease cues and health risks, and to check indicators such as body weight, blood pressure, blood lipids, blood sugar, blood total cholesterol, etc., the main purpose is to check whether there is potential Diseases so that preventive and therapeutic measures can be taken in a timely manner.
  • Weight management came into being. Weight management is a new concept introduced in the late 20th century with the sharp obesity of American nationals. Different from traditional weight loss methods: drugs, exercise, diet, gastrectomy, etc., weight management advocates individualized solutions and effect monitoring, and even triggered the third powerful weight loss revolution in Europe and the United States. Weight management is in line with the trend of weight loss, but the health significance is far greater than the weight loss itself, is the most superior way to lose weight.
  • a system for performing health assessment by calculating a health index comprising a main control module (102), an input module (101), an output module (103), and a health index function analysis module (100).
  • the input module (101), the output module (103), and the health index function analysis module (100) are connected to the main control module (102), and the input module is used for inputting personal information, an individual Activity information, nutrient intake factor information, physical exercise and lifestyle factor information, and body risk factor information, wherein the health index function analysis module (100) includes nutrient intake for calculating a point of achievement of the nutrient intake factor NFn a factor evaluation module (104), a physical exercise and lifestyle factor evaluation module (105) for calculating a grade point of the physical exercise and lifestyle factor FLFn, and a body risk factor evaluation module for calculating a grade point of the body risk factor RFn (106), the master control module (102) is based on the score point of the nutrient intake factor NFn, the score point of the physical exercise
  • the system for performing health assessment by calculating a health index further comprises a weight evaluation device, wherein the health index can be calculated by adding an evaluation weight, and the weight evaluation device includes an influence weight (HIW NF1 , for each nutrient intake factor, ..., HIW NFn), each exercise and lifestyle factors affect the right weight (HIW FLF1, ..., HIW FLFn ), the body weight of each risk factor affecting weight (HIW RF1, ..., HIW RFn ), assessment of nutritional intake factor module (104), exercise and lifestyle factors evaluation module (105), physical risk factor assessment module (106) for each of the nutritional intake based on weight factors influence weight (HIW NF1, ..., HIW NFn ), each of said body exercise and Its influence of lifestyle factors of weight (HIW FLF1, ..., HIW FLFn ), and each of the above physical risk factors affecting weight (HIW RF1, ..., HIW RFn ) were calculated nutritional intake for Grade point Average, exercise and living habits Grade
  • the input module is an input of a smart terminal
  • the output module is a display output or a voice output
  • the system for comprehensive health assessment includes an internet-based handheld computer, a notebook computer, a desktop computer or a smart phone. Or include a separate handheld, laptop, desktop, or smartphone that is not connected to the network.
  • the system for performing health assessment by calculating a health index further comprises a Chinese food ingredient table database (107) and a US Department of Agriculture national nutrition database, the nutrient intake factor evaluation module and the Chinese food ingredient table database. And the US Department of Agriculture National Nutrition Database Connection.
  • the health index is calculated by a master function module by a mathematical function including a nutritional intake score point, a physical exercise and a lifestyle score point, and a body risk score point.
  • the health index is calculated by a health function function analysis module (100), which is calculated from a mathematical function of a nutritional intake score point, a physical exercise and a habit grade point of achievement, and a physical risk grade point.
  • a health function function analysis module (100) which is calculated from a mathematical function of a nutritional intake score point, a physical exercise and a habit grade point of achievement, and a physical risk grade point.
  • the nutrient intake score point in the nutrient intake factor evaluation module (104) is calculated and evaluated by the following, but not limited to, the nutrient intake factor quantification parameter calculation,
  • the nutritional intake score point in the nutritional intake factor assessment module (104) is calculated from a mathematical function consisting of the quantified parameters.
  • the physical exercise and living habits scores described in the physical exercise and lifestyle factor assessment module (105) are determined by the following, but not limited to, calculation and evaluation of quantitative parameters of physical exercise and lifestyle factors;
  • the physical exercise and lifestyle scores described in the Physical Exercise and Living Habits Evaluation Module (105) are calculated from mathematical functions consisting of the quantified parameters.
  • the physical risk score point in the body risk factor evaluation module (106) is calculated and evaluated by the following, but not limited to, the body risk factor quantization parameter calculation,
  • Total blood cholesterol (RF9), including low density lipoprotein cholesterol (LDL) (RF 9.1).
  • the physical risk score point in the physical risk factor assessment module (106) is determined by The mathematical function of the body risk factor quantization parameter is calculated.
  • the daily exercise program and the time or weekly exercise program and time FLF1 in the physical exercise and lifestyle factor assessment module (105) are in units of activity equivalents (MET-MIN), daily or weekly.
  • MET-MIN units of activity equivalents
  • the standard value of the daily calorie intake or the calorie intake per week (NF1) in the nutrient intake factor evaluation module (104) is calculated as follows.
  • EER is the Estimated Energy Requirement.
  • Age is age
  • Wt is the weight (unit, kg)
  • Age is age
  • Ht is the height (unit, meter),
  • NCB Net Calories Burned
  • NCB ((MET1-1)*3.5*wt/200)*TPA1+...+((METn-1)*3.5*wt/200)*TPAn
  • Wt is the weight (unit, kg)
  • TPAn is the total time of physical activity.
  • NCB ((MET1-1)*3.5*wt/200)*TPA1+...+((METn-1)*3.5*wt/200)*TPAn
  • 100 points are normal values, and 20 points are The worst value, 180 points is the theoretical best value, 20–100 points are lower than the normal average, need to be improved, 100–180 points are beyond the normal average and need to be maintained.
  • one of the options is that you can also calculate the body mass index first, and then calculate the health index to conduct a health assessment of the weight loss process of obese people.
  • another system for assessing health risk by calculating a body mass index comprising a main control module (202), an input module (201), an output module (203), and a body mass index function analysis module ( 200), wherein the input module (201), the output module (103), and the body weight index function analysis module (200) are connected to the main control module (202), and the input module is used to input personal information.
  • the body mass index function analysis module (200) includes a BMI evaluation module (204) for calculating a body mass index, a WHR evaluation module (205) for calculating a waist-to-hip ratio, and a BFP evaluation module for calculating a body fat percentage ( 206), the main control module (202) calculates a body mass index based on the score point of the body mass index BMI, the grade point of the waist-hip ratio WHR, and the grade point of the body fat percentage BFP, the body mass index Output by the output module.
  • a BMI evaluation module (204) for calculating a body mass index
  • a WHR evaluation module (205) for calculating a waist-to-hip ratio
  • a BFP evaluation module for calculating a body fat percentage ( 206)
  • the main control module (202) calculates a body mass index based on the score point of the body mass index BMI, the grade point of the waist-hip ratio WHR, and the grade point of the body fat percentage BFP, the body mass index Output by the output module.
  • the body mass index is calculated by a master module comprising a mathematical function including a body mass index score point, a waist-hip ratio score point, and a body fat percentage grade point.
  • the body mass index is calculated by an arithmetic function of a body mass index score point, a waist-hip ratio score point, and a body fat percentage grade point through the body mass index function analysis module (200).
  • the body mass index score point in the body mass index evaluation module (204) is calculated and evaluated by the following, but not limited to, body mass index factor quantization parameter calculation,
  • the waist-hip ratio score point in the waist-hip ratio evaluation module (205) is obtained by, but not limited to, calculation and evaluation of the waist-hip ratio factor quantization parameter.
  • the body fat percentage score point in the body fat percentage evaluation module (206) is calculated and evaluated by the following, but not limited to, the body fat percentage factor quantization parameter.
  • the waist-hip ratio grade point the body fat percentage grade point and the body mass index
  • 100 points are normal values
  • 20 points are the most Difference
  • 140 points is the theoretical best value
  • 20–100 points is lower than the normal average
  • need to be changed Good 100–140 points are beyond the normal average and need to be maintained.
  • a method of assessing a health risk by calculating a health index comprising the steps of:
  • the health index is calculated from a mathematical function including a nutritional intake score point, physical exercise and lifestyle score point, and a body risk score point.
  • the health index calculated by the method of adding weight assessment, weight assessment device includes nutritional intake for each factor affecting weight (HIW NF1, ..., HIW NFn ), exercise and lifestyle factors affect each weight (HIW FLF1, ..., HIW FLFn ), risk factors affecting each body weight (HIW RF1, ..., HIW RFn ).
  • the nutritional intake score point is calculated and evaluated by the following, but not limited to, the nutritional intake factor quantitative parameter calculation,
  • the nutritional intake score point is calculated from a mathematical function consisting of the quantified parameters.
  • the physical exercise and living habits are calculated and evaluated by the following, but not limited to, physical exercise and living habit factor quantitative parameter calculation,
  • the physical exercise and lifestyle scores are calculated from mathematical functions consisting of the quantified parameters.
  • the physical risk grade point is calculated and evaluated by the following, but not limited to, the body risk factor quantitative parameter calculation,
  • Total blood cholesterol (RF9), including low density lipoprotein cholesterol (LDL) (RF 9.1).
  • the physical risk grade point is calculated by a mathematical function consisting of the body risk factor quantization parameter.
  • the daily exercise program and the time or weekly exercise program and time FLF1 is in units of activity equivalent (MET-MIN), and each exercise item and the exercise item are performed daily or weekly.
  • MET-MIN units of activity equivalent
  • the sum of the continuous time products is derived.
  • the daily calorie intake or the calorie intake per week (NF1) is calculated as follows.
  • EER is the Estimated Energy Requirement.
  • Age is age
  • Wt is the weight (unit, kg)
  • Age is age
  • Ht is the height (unit, meter),
  • NCB Net Calories Burned
  • NCB ((MET1-1)*3.5*wt/200)*TPA1+...+((METn-1)*3.5*wt/200)*TPAn
  • Wt is the weight (unit, kg)
  • TPAn is the total time of physical activity.
  • NCB ((MET1-1)*3.5*wt/200)*TPA1+...+((METn-1)*3.5*wt/200)* The meaning of each abbreviation of TPAn is the same as above.
  • a "20-180" grade point evaluation is made for the nutrient intake score point, physical exercise and lifestyle score point, physical risk grade point and the health index item, wherein 100 points are normal values, 20 The point is the worst value, 180 points is the theoretical optimal value, 20-100 points is lower than the normal average, and needs to be improved. 100-180 points are beyond the normal average and need to be maintained.
  • a method of assessing health risk by calculating a body mass index comprising the steps of:
  • the body mass index is calculated by a mathematical function including a body mass index score point, a waist-hip ratio score point, and a body fat percentage grade point.
  • the body mass index grade point is calculated and evaluated by the following, but not limited to, body mass index factor quantization parameter,
  • the waist-hip ratio is calculated and evaluated by the following, but not limited to, the waist-to-hip ratio factor quantization parameter.
  • the body fat percentage grade point is calculated and evaluated by the following, but not limited to, the body fat percentage factor quantization parameter,
  • the waist-hip ratio grade point the body fat percentage grade point and the body mass index
  • 100 points are normal values, and 20 points are the most The difference, 140 points is the theoretical optimal value, 20–100 points is lower than the normal average, and needs to be improved. The 100–140 points are beyond the normal average and need to be maintained.
  • FIG. 1 is a block diagram showing the structure of a health comprehensive evaluation system in accordance with one embodiment of the present invention.
  • FIG. 2 is a flow chart for calculating a health index (HI) in accordance with one embodiment of the present invention.
  • NP total nutritional intake factor score point
  • FIG. 4 is a flow diagram of calculating total physical exercise and lifestyle factor score points (FLPs) in accordance with one embodiment of the present invention.
  • FIG. 5 is a flow chart for calculating a total body risk factor grade point (RP), in accordance with one embodiment of the present invention.
  • FIG. 6 is a block diagram showing the structure of a system for assessing health risks by calculating a body mass index, in accordance with one embodiment of the present invention.
  • FIG. 7 is a flow chart for calculating a body mass index (WI) in accordance with one embodiment of the present invention.
  • FIG. 1 there is shown a block diagram of a module for a comprehensive health assessment in accordance with one embodiment of the present invention.
  • the system for comprehensive health assessment as shown in FIG. 1 includes a main control module 102, an input module 101, an output module 103, a health index function analysis module 100, a Chinese food ingredient table database 107, and a US Department of Agriculture national nutrition database 108.
  • the health index function analysis module 100 includes each of the nutritional intake factor NFN and weight corresponding to a weight HIW NFn evaluation module 104, each physical exercise and lifestyle factors FLFn and weight corresponding to a weight HIW FLFn evaluation module 105, each of body weight and risk factors RFn corresponding weight HIW RFn evaluation module 106.
  • the health index function analysis module 100 in each of the nutritional intake and weight factor corresponding thereto NFN weight HIW NFn evaluation module 104, each and a physical exercise habits and weight factors corresponding thereto FLFn weight HIW FLFn assessment module 105, each of the risk factors RFn body weight and corresponding weight HIW RFn evaluation module 106 are connected to the main control module 102, and the total nutrition
  • the Intake Factor Grade Point (NP) assessment module 104 is coupled to the China Food Ingredients Table Database 107 and the US Department of Agriculture National Nutrition Database 108.
  • the input module 101 is a smart input terminal; the output module 103 is a display output or a voice output.
  • the system for comprehensive health assessment is an internet-based intelligent system, such as a palmtop computer, a notebook computer, a desktop computer, a smart phone connected to a network.
  • the system for comprehensive health assessment also includes separate intelligent systems that are not connected to the network, such as handheld computers, notebook computers, desktop computers, smart phones.
  • the flowchart of FIG. 2 shows the steps of calculating the total nutrient intake factor point (NP) in module 104 in accordance with a particular embodiment of the present invention.
  • step 1 enter personal information, including gender, age, height, weight, waist circumference, hip circumference, and diabetes.
  • step 2 enter personal activity information, including the type of activity per day (metabolic equivalent MET) and the corresponding activity time;
  • step 3 enter nutritional intake information
  • Nutritional intake factors include, but are not limited to, the following factors:
  • NF2 Daily fat intake or weekly fat intake (NF2), including saturated fat (NF2.1) and trans fat intake (NF2.2),
  • step 5 the standard values (Standard) of the nutrient uptake factors (NF1, ..., NFn) are derived from the data of steps 1 and 2.
  • NF1 daily calorie intake
  • EER is the Estimated Energy Requirement.
  • Age is age
  • Wt is the weight (unit, kg)
  • Age is age
  • Ht is the height (unit, meter),
  • NCB Net Calories Burned
  • NCB ((MET1-1)*3.5*wt/200)*TPA1+...+((METn-1)*3.5*wt/200)*TPAn
  • METn is the metabolic equivalent of each activity (Metabolic Equivalent).
  • Wt is the weight (unit, kg)
  • TPAn is the total time of physical activity.
  • NCB ((MET1-1)*3.5*wt/200)*TPA1+...+((METn-1)*3.5*wt/200)*TPAn
  • step 7 the deviation value % (Input) is input, and the grade point judgment logic is checked to obtain the initial grade point of each nutrient intake factor (NF1, ..., NFn).
  • the following judgment logic is used to obtain the daily calorie intake or the calorie intake (NF1) of the initial grade point (100 points is the normal value, 20 points is the worst value, 180 points is the theoretical best) value),
  • the above judgment logic can also include the following body mass index (WI). Substitute logic to replace
  • BMI is the body mass index
  • WI is the body mass index
  • step 1 by providing the personal information is calculated for each weight factor on nutritional intake (HIW NF1, ..., HIW NFn ) - ( Note, the specific details of the calculation, as shown in Table 1, Table 2 and corresponding description) .
  • step 9 the score points (NF1 Point, ..., NFn Point) of each nutrient intake factor are calculated by the results of steps 7 and 8.
  • step 10 the score point (NP) of the total nutrient intake factor is calculated by calculating the result obtained in step 9.
  • the flowchart of FIG. 3 shows the steps of calculating the point of achievement (FLP) of the total physical exercise and lifestyle factor in the module 105 in accordance with a particular embodiment of the present invention.
  • step 1 with Figure 1, enter personal information, including gender, age, height, weight, waist circumference, hip circumference, and diabetes.
  • the body exercise and lifestyle factor (FLF1, ..., FLFn) information is entered.
  • Physical exercise and lifestyle factors (FLF1,...,FLFn) include, but are not limited to, the following factors:
  • FLF1 is calculated by the following formula in units of activity equivalent (MET*MIN).
  • the stress index assessment described in FLF5 is based on the stress index of Thomas Holmes & Richard Rahe of the Washington Medical College:
  • the pressure relief habits described in FLF6 include but are not limited to the following habits,
  • step 12 the standard value (Standard) of the body exercise and lifestyle factors (FLF1, ..., FLFn) is calculated from the information provided in step 1.
  • step 13 the actual value (Actual) of the physical exercise and lifestyle factors (FLF1, ..., FLFn) is calculated from the information provided in step 11.
  • step 15 the deviation value % (Input) is input, and the grade point judgment logic is checked to obtain the initial grade point (FLF1, ..., FLFn) of each body exercise and lifestyle factor.
  • step 16 the weight of each body exercise and lifestyle factor (HIW FLF1 , ..., HIW FLFn ) is calculated by the personal information provided in step 1. (Note, the specific calculation details are shown in Table 1, Table 2 and Corresponding description).
  • step 17 through the results of steps 15 and 16, the score points (FLF1 Point, ..., FLFn Point) of each exercise and lifestyle factor are calculated.
  • step 18 by calculating the results obtained in step 17, the total physical exercise and lifestyle factor score point (FLP) is calculated.
  • the flowchart of FIG. 4 shows the steps of calculating the point of achievement (RP) of the total body risk factor in module 106 in accordance with a particular embodiment of the present invention.
  • step 1 with Figure 1, enter personal information, including gender, age, height, weight, waist circumference, hip circumference, and diabetes.
  • Physical risk factors include, but are not limited to, the following factors:
  • Total blood cholesterol (RF9), including low density lipoprotein cholesterol (LDL) (RF 9.1),
  • the actual value (Actual) of the body risk factors (RF1, ..., RFn) is calculated from the information provided in step 19.
  • the standard value (Standard) of the body risk factors (RF1, ..., RFn) is calculated from the information provided by step 1.
  • the grade point determination logic is checked to derive the initial grade point (RF1, ..., RFn) for each body risk factor.
  • step 24 the personal information provided by the step 1, the effect of each factor is calculated risk of body weight (HIW RF1, ..., HIW RFn ) - ( Note, the specific details of the calculation, as shown in Table 1, Table 2 and corresponding description) .
  • step 25 the score points (RF1 Point, ..., RFn Point) of each body risk factor are calculated by the results of steps 23 and 24.
  • step 26 by calculating the results obtained in step 25, the performance of the total body risk factor is calculated.
  • Point (RP) Point (RP).
  • the flowchart of FIG. 5 shows the specific steps of calculating the health index (HI) in the health index function analysis module 100 in accordance with a particular embodiment of the present invention.
  • step 10 the point of achievement (NP) of the total nutrient intake factor has been derived.
  • step 18 the point of achievement (FLP) of the total physical exercise and lifestyle factor has been derived.
  • step 26 the point of achievement (RP) of the total body risk factor has been derived.
  • step 27 the calculation results of steps 10, 18, and 26 are input, and the result of the health index (HI) is calculated by the arithmetic function.
  • the system for assessing health risk by calculating a body mass index as shown in FIG. 6 the system comprising a main control module 202 , an input module 201 , an output module 203 , a body mass index function analysis module 200 , wherein the input module 201 , the The output module 203 and the body weight index function analysis module 200 are connected to the main control module 202, and the input module 201 is used for inputting personal information, wherein the body mass index function analysis module 200 includes a body mass index evaluation for calculating
  • the module 204 is configured to calculate a waist-to-hip ratio evaluation module 205, and a body fat percentage evaluation module 206 for calculating a body point of the body mass index BMI, a waist point ratio WHR, and a body point
  • the body mass index is calculated based on the grade point of the fat percentage BFP, which is output by the output module 203.
  • the input module 201 is an input of a smart terminal; the output module 203 is a display output or a voice output.
  • the weight loss or weight control comprises an internet-based handheld computer, a notebook computer, a desktop computer or a smart phone; or comprises a separate handheld computer, a laptop computer, a desktop computer that is not connected to the network. Or a smartphone.
  • the flowchart of Figure 7 shows the specific steps in calculating the body mass index (WI) in the body mass index function analysis module 200 in accordance with a particular embodiment of the present invention.
  • step 1 enter personal information, including gender, age, height, weight, waist circumference, hip circumference, and diabetes.
  • a body mass index grade point (BMIpoint) is calculated in module 204:
  • a body mass index (BMI) is calculated
  • Calculating the body mass index is calculated by the following, but not limited to, the formula,
  • BMI is the body mass index
  • Mass is the weight (unit: kilogram or pound)
  • Height is height (in meters or inches)
  • the body mass index grade point (BMIpoint) is obtained by examining the following, but not limited to, the grade point determination logic (evaluation table):
  • the waist-to-hip ratio (WHRpoint) is calculated in block 205:
  • step 31 the waist-to-hip ratio (WHR) is calculated
  • Calculating the waist-to-hip ratio is determined by the following, but not limited to, calculated by the formula
  • WHR is the waist-to-hip ratio
  • Waist Circumference is the waist circumference (unit: meters or inches)
  • Hip Circumference is hip circumference (in meters or inches)
  • step 32 and step 33 by checking the following, but not limited to, the grade point determination logic (evaluation table) to obtain the waist-to-hip ratio point (WHRpoint):
  • body fat percentage point (BFPpoint) is calculated in module 206:
  • the body fat percentage (BFP) is calculated
  • the grade point for calculating the percentage of body fat is calculated by the following, but not limited to, the formula,
  • BFP is the percentage of body fat
  • BMI is the body mass index
  • Age is age
  • Sex (gender) is 1 for boys and 0 for girls.
  • the body fat percentage point (BFPpoint) is obtained by examining the following, but not limited to, the grade point determination logic (evaluation table):
  • step 37 the calculation results of step 30, step 33 and step 36 are input, and the result of the weight (WI) is calculated by the arithmetic function, and the health status of the body weight is evaluated by the following, but not limited to, the body mass index evaluation logic.
  • Each nutrient intake factor (NF1,...,NFn), each physical exercise and lifestyle factor (FLF1,...,FLFn), each body risk factor (RF1,...,RFn),total nutrient intake factor (NP) ), total physical exercise and lifestyle factors (FLP), total body risk factor (RP), health index (HI), body mass index (BMI), waist-to-hip ratio (WHR), body fat percentage (BFP) can be used "20-180" or "20-140" GPA evaluation method, 100 points is the normal value, 20 points is the worst value, and 180 points or 140 points is the theoretical optimal value. 20–100 points are below the normal average and need to be improved. Above 100 points is above the normal average and needs to be maintained.
  • Table 1 below further explains a system and method for evaluating weights in a health index function analysis module 100 in accordance with a particular embodiment of the present invention, and its use in health index (HI) calculations,
  • each of the nutritional intake NFN weight factor corresponding to the product of its weight HIW NFn each nutrient intake is derived factor GPA NFn Point.
  • the NP of the total nutrient uptake factor is derived from the mathematical function of NF1 point, NF2 point, ..., NFn point.
  • the product of each physical exercise and lifestyle factor FLFn and its corresponding weight HIW FLFn is the score point FLFn Point of each physical exercise and lifestyle factor. From the mathematical functions of FLF1 point, FLF2 point, ..., FLFn point, the GLP of the total physical exercise and lifestyle factor is obtained.
  • the GPA of the total body risk factor is derived from the mathematical function of RF1 point, RF2 point, ..., RFn point.
  • the mathematical functions described above include functions such as addition, subtraction, averaging, product, power, and logarithm.
  • weights database 2 include, but are not limited to, each nutrient intake factor NFn corresponding weight HIW NFn, each exercise and lifestyle factors FLFn corresponding weight HIW FLFn, each physical risk factors RFn corresponding weight HIW RFn,
  • the system and method for comprehensive health assessment according to the present invention are described in detail above by explaining FIGS. 1, 2, 3, 4, 5, 6, 7, and 1, and 2.
  • it relates to a system and method for assessing health risks by calculating a health index and a system and method for assessing health risks by calculating a body mass index.
  • the present invention will be described in detail below by way of a more specific example.
  • the body weight index system and method were used to evaluate the health status of Li Si's weight.
  • step 1 enter your personal information - male, 45 years old, height 1.66m, weight 77Kg, waist circumference 92cm, hip circumference 93cm, non-diabetic patients.
  • the body mass index (BMI) is calculated and the BMI is 27.9.
  • step 29 and step 30 the BMI point is obtained by checking the grade point judgment logic (evaluation table) to be 80. It indicates that the evaluation result of the body weight according to the BMI is overweight.
  • step 31 the waist-to-hip ratio (WHR) is calculated from the data of waist circumference and hip circumference, and the WHR is 0.99.
  • step 32 and step 33 by checking the grade point judgment logic (evaluation table), the waist-to-hip ratio point (WHRpoint) is obtained as 80. It indicates that the evaluation result of the body weight according to the WHR is overweight.
  • WHRpoint waist-to-hip ratio point
  • the body fat percentage (BFP) is calculated according to the formula
  • step 35 and step 36 the BFR point is obtained by checking the grade point judgment logic (evaluation table) to indicate that the body fat percentage point (BFPpoint) is 80.
  • step 37 the calculation results 80, 80, and 80 of step 30, step 33, and step 36 are input, and the result of the weight (WI) calculated by the mathematical function is still 80.
  • step 1 enter personal information - male, 45 years old, height 1.66m, weight 77Kg, waist circumference 92cm, hip circumference 93cm, non-diabetic patients and so on.
  • step 2 enter personal activity information, including the type of activity per day (metabolic equivalent MET) and the corresponding activity time.
  • Step 3 enter the nutrient intake information – enter the nutrient intake information from Monday to Sunday (in this case, skip the intake information for Tuesday, Thursday, and Saturday).
  • step 4 calculate the actual intake value (Actual) of each nutrient intake factor (NF1, ..., NFn) (nutrient intake information input by step 3, according to the China Food Ingredients Table Database 107 and the US Department of Agriculture National Nutrition Database 108, calculated),
  • step 5 the standard values (Standard) of the nutrient intake factors (NF1, ..., NFn) are obtained from the data of steps 1 and 2.
  • step 6 the deviation value % (Input) between the actual intake value and the standard value is calculated
  • step 7 input the deviation value % (Input), check the grade point judgment logic, and obtain the initial grade point of each nutrient intake factor (NF1, ..., NFn).
  • step 8 the personal information provided by the step 1, calculated for each weight factor on nutritional intake (HIW NF1, ..., HIW NFn ),
  • step 9 the score points (NF1 Point, ..., NFn Point) of each nutrient intake factor are calculated by the results of steps 7 and 8.
  • step 10 the score point (NP) of the total nutrient intake factor is calculated by calculating the result obtained in step 9.
  • step 7 for the initial grade point of NF1, the decision logic can also be replaced with the judgment logic containing the body mass index (WI) on page 14.
  • WI body mass index
  • Li Si's body mass index (BMI) is 27.9 greater than 18.5.
  • Li Si's body mass index (WI) is 80.
  • the initial grade point of NF1 in the above table has changed according to the new judgment logic, and the final total nutrient intake.
  • the factor's grade point (NP) is changed to 77.3.
  • the score point (FLP) of the total physical exercise and lifestyle factor is calculated according to the steps described in FIG.
  • step 1 personal information has been entered.
  • step 11 input body exercise and lifestyle factors (FLF1, ..., FLFn) information
  • step 12 the standard value (Standard) of the body exercise and lifestyle factors (FLF1, ..., FLFn) is calculated by the information provided by step 1,
  • step 13 the actual value (Actual) of the physical exercise and lifestyle factors (FLF1, ..., FLFn) is calculated by the information provided in step 11,
  • the other FLF2 to FLFn are the same as step 11.
  • step 15 input the deviation value % (Input), check the grade point judgment logic, and obtain the initial grade point (FLF1, ..., FLFn) of each body exercise and lifestyle factor,
  • step 16 by using the personal information provided in step 1, the weight of each physical exercise and lifestyle factor (HIW FLF1 , ..., HIW FLFn ) is calculated .
  • step 17 by using the results of steps 15 and 16, the score points (FLF1 Point, ..., FLFn Point) of each body exercise and lifestyle factor are calculated.
  • step 18 the score point (FLP) of the total physical exercise and lifestyle factor is calculated by calculating the results obtained in step 17.
  • step 1 personal information has been entered.
  • step 19 input information about the body risk factors (RF1, ..., RFn),
  • step 20 the actual value (Actual) of the body risk factors (RF1, ..., RFn) is calculated from the information provided in step 19.
  • the information of step 20 is equivalent to the information of step 19.
  • the standard value (Standard) of the body risk factors (RF1, ..., RFn) is calculated from the information provided by step 1.
  • the grade point determination logic is checked to derive the initial grade point (RF1, ..., RFn) for each body risk factor.
  • step 24 the personal information provided by the step 1, the effect of each factor is calculated risk of body weight (HIW RF1, ..., HIW RFn ) - ( Note, the specific details of the calculation, as shown in Table 1, Table 2 and corresponding description) .
  • step 25 the score points (RF1 Point, ..., RFn Point) of each body risk factor are calculated by the results of steps 23 and 24.
  • step 26 the point of achievement (RP) of the total body risk factor is calculated by calculating the results obtained in step 25. From step 23 to step 26, the grade point (RP) of the total body risk factor obtained after the regular physical examination results is finally obtained.
  • the health index (HI) is calculated to be 90.1.
  • NF1 is calculated according to an algorithm including the body mass index (WI)
  • the grade point (NP) of the total nutrient intake factor is changed to 77.3.
  • the final health index (HI) became 87.3.
  • Li Si's comprehensive health assessment is overweight, need to pay attention to nutrient intake, reduce calorie intake, increase exercise time, continue to maintain good habits, and regular physical examination to improve health.

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  • Medical Informatics (AREA)
  • Engineering & Computer Science (AREA)
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  • Health & Medical Sciences (AREA)
  • Pathology (AREA)
  • Databases & Information Systems (AREA)
  • Data Mining & Analysis (AREA)
  • Biomedical Technology (AREA)
  • Epidemiology (AREA)
  • General Health & Medical Sciences (AREA)
  • Primary Health Care (AREA)
  • Medical Treatment And Welfare Office Work (AREA)
  • Measuring And Recording Apparatus For Diagnosis (AREA)

Abstract

L'invention concerne un système et un procédé permettant d'évaluer de façon détaillée, sur une base journalière ou hebdomadaire, l'ingestion de nutriments, les exercices physiques, les habitudes et styles de vie, l'état de santé individuel et les risques de santé, et qui sont caractérisés en ce qu'ils comprennent : a. un système et un procédé d'évaluation ponctuelle de performances de santé ; b. un système et un procédé d'évaluation des risques de santé, lesdits système et procédé comprenant une formule permettant de calculer un indice de santé, une logique systémique et des graphiques. Les évaluations détaillées en continu permettent de révéler des problèmes, d'améliorer et d'optimiser l'ingestion de nutriments, d'ajuster les exercices physiques ainsi que les habitudes et styles de vie en vue d'atteindre un niveau de santé plus idéal. Sur la base de la description susmentionnée, l'invention concerne également un système et un procédé permettant d'évaluer des risques de santé par le calcul d'un indice de masse corporelle. Le système et le procédé de masse corporelle peuvent être utilisés indépendamment dans le cadre d'un régime ou d'une surveillance du poids, et peuvent également être appliqués au calcul d'un indice de santé pour permettre une gestion scientifique du poids dans le cadre d'un régime ou d'une surveillance du poids.
PCT/CN2014/089613 2013-10-27 2014-10-28 Systeme et procede d'evaluation detaillee de la sante WO2015058729A1 (fr)

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