CN105981015A - Comprehensive health evaluation system and method - Google Patents

Comprehensive health evaluation system and method Download PDF

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Publication number
CN105981015A
CN105981015A CN201480049135.5A CN201480049135A CN105981015A CN 105981015 A CN105981015 A CN 105981015A CN 201480049135 A CN201480049135 A CN 201480049135A CN 105981015 A CN105981015 A CN 105981015A
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intake
performance
daily
module
calculated
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闫波
聂庭文
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Individual
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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

Abstract

The invention discloses a comprehensive health evaluation system and method. Provided are a system and method for comprehensively evaluating daily or weekly nutrient intake, exercises, living habits, life styles, individual health, and health risks, characterized in comprising: a. a health performance point evaluation system and method; b. a health risk evaluation system and method, a part thereof comprising a formula for calculating health index, systemic logic, and flow charts. Through continuous comprehensive evaluations, problems can be discovered, nutrient intake can be improved and optimized, exercises can be adjusted, living habits and life styles can be adjusted, thereby reaching a more ideal health level. On the basis of the description above, also invented are a system and method for evaluating health risks by calculating body weight index. The body weight system and method can be independently used in diet or weight control, and can also be applied to the health index calculation, thereby enabling scientific weight management during diet or weight control.

Description

System and method for comprehensive health assessment The technical field is as follows:
The present invention relates to a system for integrated health assessment and a method thereof, and more particularly, to a system for assessing health risk by calculating a health index and a method thereof.
On the basis of the system and the method, the invention also discloses a system and a method for comprehensively evaluating the health of people in the process of losing weight or controlling the weight, in particular to a system and a method for evaluating health risk by calculating a body weight index.
The system and method for body mass index can be used in the process of weight loss or weight control alone, and can also be applied to the process of calculating the health index, thereby carrying out scientific body mass management on the process of weight loss or weight control of people, not only reducing weight or controlling weight, but also ensuring the health in the process.
background
The human body needs to obtain various nutrients from the diet every day to maintain its survival, health and social life. If a long-term intake of a certain nutrient is insufficient or excessive, a corresponding nutritional deficiency or excess may occur. In order to help people reasonably take various nutrients, nutriologists suggested reference intake of nutrients from the early 20 th century, and from the 40 th to 80 th years, many countries have formulated their recommended daily dietary nutrient supply (RDA) as a quality standard for designing and evaluating diets.
In 2000, the World Health Organization (WHO) proposed new standards of human health, including both physical and mental health components. People have fully realized that various diseases are caused by unhealthy life style!
The health physical examination aiming at healthy or sub-healthy people aims to understand health conditions, discover disease clues and health hidden dangers at early stage, check indexes such as weight, blood pressure, blood fat, blood sugar, total cholesterol in blood and the like, and mainly aims to find whether potential diseases exist or not through checking so as to take preventive and therapeutic measures in time.
However, how to comprehensively evaluate daily nutrition intake, exercise amount, living habits and lifestyle and health risks of individual physical conditions does not have a good solution and evaluation system.
In addition, with the increase of economic pace, the waist circumference expansion speed of Chinese people is also increasing. A report of a study published in the journal of the American health affairs states that China currently has an obese population of 3.25 million people, which is an increase over the US, the United kingdom and Australia. This number may also double in the next 20 years. The waist circumference of Chinese people is the most important in the world!
Weight management is carried out as soon as possible. Weight management is a new concept proposed in the late 20 th century with the rapid obesity of the us citizen. Different from the traditional weight-losing mode: medicine, exercise, diet, gastrectomy and the like, personalized solution and effect monitoring are advocated for weight management, and even the third strong weight-losing revolution of European and American countries is initiated. Weight management takes place in accordance with the great tendency of weight loss, but the health significance is far greater than that of weight loss, and the weight loss mode is the most optimal.
Disclosure of Invention
In view of the above problems of the prior art, it is an object of the present invention to provide a system and method for comprehensively evaluating the health risks of daily or weekly nutrient intake, exercise amount, lifestyle and life style, and physical condition of an individual. Through the continuous comprehensive evaluation, problems can be found, nutrition intake can be improved and continuously optimized, the amount of exercise can be adjusted, and living habits and living styles can be adjusted, so that a more ideal health level can be achieved.
According to the invention, a system for health assessment by calculating a health index is proposed, the system comprising a main control module (102), an input module (101), an output module (103), a health index function analysis module (100), wherein the input module (101), the output module (103) and the health index function analysis module (100) are connected to the main control module (102), the input module is used for inputting personal information, personal activity information, nutrient intake factor information, physical exercise and lifestyle factor information and physical risk factor information, wherein the health index function analysis module (100) comprises a nutrient intake factor evaluation module (104) for calculating a performance point of a nutrient intake factor NFn, a physical exercise and lifestyle factor evaluation module (105) for calculating a performance point of a physical exercise and lifestyle factor FLFn, a health index function analysis module (100) for calculating a health index, a health index function analysis module for, And a physical risk factor evaluation module (106) for calculating a performance of a physical risk factor RFn, the master control module (102) calculating a health index on the basis of the performance of the nutrient intake factor NFn, the performance of the physical exercise and lifestyle factors FLFn and the performance of the physical risk factor RFn, the health index being output by the output module.
Preferably, the system for health assessment by calculating a health index further comprises a weight assessment means, the health index being calculated by adding an assessment weight, the weight assessment means comprising an influence weight (HIW) for each nutrient intake factorNF1,…,HIWNFn) Weight of influence (HIW) of each physical exercise and lifestyle factorsFLF1,…,HIWFLFn) Weight of influence per physical risk factor (HIW)RF1,…,HIWRFn) A nutrition intake factor evaluation module (104), a physical exercise and lifestyle factors evaluation module (105), and a physical risk factor evaluation module (106) based on the weight of influence (HIW) of each of the nutrition intake factorsNF1,…,HIWNFn) Weight of influence (HIW) of each of the physical exercise and lifestyle factorsFLF1,…,HIWFLFn) And weight of influence (HIW) of each of the above-mentioned physical risk factorsRF1,…,HIWRFn) Calculating a nutritional intake performance point, a physical exercise and lifestyle habit performance point, and a physical risk performance point, respectively.
Preferably, the input module is an input of the intelligent terminal; the output module is used for displaying output or voice output; the system for comprehensive health assessment comprises an Internet-based palm computer, a notebook computer, a desktop computer or a smart phone; or a separate palmtop, laptop, desktop or smartphone not connected to the network.
Preferably, the system for health assessment by calculating a health index further comprises a Chinese food component table database (107) and a national nutrition database of the United states department of agriculture, and the nutrient intake factor assessment module is connected with the Chinese food component table database and the national nutrition database of the United states department of agriculture.
Preferably, the health index is calculated by a main control module through mathematical functions including a nutrient intake performance point, a physical exercise and life habit performance point and a physical risk performance point.
Preferably, the health index is calculated by a health index functional analysis module (100) from mathematical functions of nutrient intake performance, physical exercise and lifestyle performance, and physical risk performance.
Preferably, the nutrient intake performance in the nutrient intake factor assessment module (104) is calculated and assessed from, but not limited to, nutrient intake factor quantification parameters,
1) daily intake of calories or weekly intake of calories (NF1),
2) daily fat intake or weekly fat intake, including saturated fat and trans fat intake (NF2),
3) daily cholesterol intake or weekly cholesterol intake (NF3),
4) daily sodium intake or weekly sodium intake (NF4),
5) daily carbohydrate intake or weekly carbohydrate intake (NF5),
6) daily dietary fiber intake or weekly dietary fiber intake (NF6),
7) daily protein intake or weekly protein intake (NF 7).
Preferably, the nutrient intake performance in the nutrient intake factor assessment module (104) is calculated from a mathematical function consisting of the quantified parameters.
Preferably, the physical exercise and lifestyle factor evaluation module (105) calculates and evaluates the physical exercise and lifestyle performance from, but not limited to, quantitative parameters of physical exercise and lifestyle factors,
1) daily workout and time or weekly workout and time (FLF 1).
2) Daily alcohol intake or weekly alcohol intake (FLF2),
3) daily cigarette intake or weekly cigarette intake (FLF3),
4) daily sleep quality, or weekly sleep quality, including hours of daily sleep or average hours of daily per week (FLF4),
5) stress index assessments, including the Holmes and Rahe Stress Scale (FLF5),
6) stress relief habits (FLF 6).
Preferably, the physical exercise and lifestyle habit performance assessment module (105) calculates the physical exercise and lifestyle habit performance from a mathematical function of the quantified parameters.
Preferably, the physical risk performance in the physical risk factor evaluation module (106) is calculated and evaluated by, but not limited to, a physical risk factor quantitative parameter,
1) the systolic pressure (RF1) is,
2) the diastolic pressure (RF2) of the patient,
3) at rest heart rate (RF3),
4) body fat composition or waist-to-hip ratio (RF4),
5) the pH of the urine (RF5),
6) the amount of vital capacity (RF6),
7) the blood glucose (RF7) level,
8) total blood Triglycerides (TG) (RF8),
9) total blood cholesterol (TC) (RF9), including low density lipoprotein cholesterol (LDL) (RF 9.1).
Preferably, the body risk performance in the body risk factor evaluation module (106) is calculated by a mathematical function consisting of the quantitative parameters of the body risk factor.
Preferably, the daily exercise session and time or weekly exercise session and time FLF1 in physical exercise and lifestyle factor evaluation module (105) is in units of activity equivalent (MET-MIN) and is derived from the sum of the product of the daily or weekly exercise session and the duration of the exercise session.
Preferably, the standard value of the calorie intake per day or the calorie intake per week (NF1) in the nutrient intake factor evaluation module (104) is calculated as follows,
male sex
EER＝(662-(9.53*Age))+PA*((15.91*wt)+(539.6*ht)+NCB
Wherein
EER is an estimate of daily Energy demand (Estimated Energy Requirement),
age is the Age of the person to whom,
PA＝1，
wt is body weight (in kg),
age is the Age of the person to whom,
ht is height (in units, meters),
NCB is energy consumption (Net calls Burned),
NCB＝((MET1-1)*3.5*wt/200)*TPA1+…+((METn-1)*3.5*wt/200)*TPAn
wherein
METn is the Metabolic Equivalent (Metabolic Equisent),
wt is body weight (in kg),
TPAn is the time of each activity (total time of physical activity).
Female with a view to preventing the formation of wrinkles
EER＝(354-(6.91*Age))+PA*((9.36*wt)+(726*ht)+NCB
NCB＝((MET1-1)*3.5*wt/200)*TPA1+…+((METn-1)*3.5*wt/200)*TPAn
The meanings of the English abbreviations are as above.
Preferably, a "20-180" performance assessment is made for the nutrient intake performance, physical exercise and lifestyle performance, physical risk performance, and the wellness index for 100 points to normal, 20 points to worst, 180 points to theoretical optimum, 20-100 points to below normal average, need to be improved, and 100-180 points to above normal average, need to be maintained.
On the basis of the above, one option is that the weight index can also be calculated first, and then the health index can be calculated to make a health assessment of the weight loss process of obese people.
According to the invention, a further system for assessing health risks by calculating a body mass index is proposed, the system comprising a main control module (202), an input module (201), an output module (203), a body mass index functional analysis module (200), wherein the input module (201), the output module (103) and the body mass index functional analysis module (200) are connected to the main control module (202), the input module is used for inputting personal information, wherein the body mass index functional analysis module (200) comprises a BMI evaluation module (204) for calculating a body mass index, a WHR evaluation module (205) for calculating a waist-hip ratio, and a BFP evaluation module (206) for calculating a body fat percentage, the main control module (202) calculates the body mass index on the basis of the performance points of the body mass index BMI, the waist-hip ratio WHR and the body fat percentage BFP, the body mass index is output by an output module.
Preferably, the body mass index is calculated by a main control module through mathematical functions including a body mass index performance point, a waist-hip ratio performance point and a body fat percentage performance point.
Preferably, the body mass index is calculated by a body mass index function analysis module (200) through an arithmetic function of a body mass index performance point, a waist-hip ratio performance point and a body fat percentage performance point.
Preferably, the body quality index performance in the body quality index assessment module (204) is calculated and assessed by, but not limited to, body quality index factor quantification parameters,
1) the weight of the patient is measured by the weight meter,
2) height.
Preferably, the waist-hip ratio performance point in the waist-hip ratio evaluation module (205) is obtained by calculating and evaluating, but not limited to, a waist-hip ratio factor quantification parameter,
1) the waist circumference of the patient,
2) the hip circumference.
Preferably, the body fat percentage performance point in the body fat percentage evaluation module (206) is calculated and evaluated by, but not limited to, a body fat percentage factor quantification parameter,
1) the index of the body mass is,
2) the age of the patient in question,
3) sex.
Preferably, for the "20-140" performance assessment made for the body mass index performance, waist-hip ratio performance, body fat percentage performance and the body mass index, 100 is the normal value, 20 is the worst value, 140 is the theoretical optimal value, 20-100 is below the normal average value, improvement is required, 100-140 is above the normal average value and maintenance is required.
According to another aspect of the present invention, there is also provided a method of assessing health risk by calculating a health index, the method comprising the steps of:
a) inputting personal information, personal activity information, nutrition intake factor information, physical exercise and life habit factor information and physical risk factor information,
b) calculating nutrient intake performance, physical exercise and lifestyle performance, and physical risk performance,
c) and calculating the health index.
Preferably, the health index is calculated from mathematical functions including nutrient intake performance, physical exercise and lifestyle performance, and physical risk performance.
Preferably, the health index is calculated by adding a weight estimation means comprising for each nutrient intake factor influence weight (HIW)NF1,…,HIWNFn) Weight per physical exercise and lifestyle factors (HIW)FLF1,…,HIWFLFn) Each body risk factor influence weight (HIW)RF1,…,HIWRFn)。
Preferably, the nutrient intake performance is calculated and evaluated from, but not limited to, quantitative parameters of nutrient intake factors,
1) daily intake of calories or weekly intake of calories (NF1),
2) daily fat intake or weekly fat intake, including saturated fat and trans fat intake (NF2),
3) daily cholesterol intake or weekly cholesterol intake (NF3),
4) daily sodium intake or weekly sodium intake (NF4),
5) daily carbohydrate intake or weekly carbohydrate intake (NF5),
6) daily dietary fiber intake or weekly dietary fiber intake (NF6),
7) daily protein intake or weekly protein intake (NF 7).
Preferably, the nutrient intake performance is calculated from a mathematical function consisting of the quantified parameters.
Preferably, the physical exercise and lifestyle performance points are calculated and evaluated by, but not limited to, quantitative parameters of physical exercise and lifestyle factors,
1) daily workout and time or weekly workout and time (FLF 1).
2) Daily alcohol intake or weekly alcohol intake (FLF2),
3) daily cigarette intake or weekly cigarette intake (FLF3),
4) daily sleep quality, or weekly sleep quality, including hours of daily sleep or average hours of daily per week (FLF4),
5) stress index assessments, including the Holmes and Rahe Stress Scale (FLF5),
6) stress relief habits (FLF 6).
Preferably, the physical exercise and lifestyle performance points are calculated from a mathematical function consisting of the quantified parameters.
Preferably, the physical risk performance is calculated and evaluated by, but not limited to, a physical risk factor quantitative parameter,
1) the systolic pressure (RF1) is,
2) the diastolic pressure (RF2) of the patient,
3) at rest heart rate (RF3),
4) body fat composition or waist-to-hip ratio (RF4),
5) the pH of the urine (RF5),
6) the amount of vital capacity (RF6),
7) the blood glucose (RF7) level,
8) total blood Triglycerides (TG) (RF8),
9) total blood cholesterol (TC) (RF9), including low density lipoprotein cholesterol (LDL) (RF 9.1).
Preferably, the body risk performance is calculated from a mathematical function consisting of the body risk factor quantification parameter.
Preferably, the daily exercise session and the time or weekly exercise session and time FLF1 are in units of activity equivalent (MET-MIN) and are derived from the sum of the product of the time of each exercise session and the duration of the exercise session on a daily or weekly basis.
Preferably, the standard value of the calorie intake per day or the calorie intake per week (NF1) is calculated as follows,
male sex
EER＝(662-(9.53*Age))+PA*((15.91*wt)+(539.6*ht)+NCB
Wherein
EER is an estimate of daily Energy demand (Estimated Energy Requirement),
age is the Age of the person to whom,
PA＝1，
wt is body weight (in kg),
age is the Age of the person to whom,
ht is height (in units, meters),
NCB is energy consumption (Net calls Burned),
NCB＝((MET1-1)*3.5*wt/200)*TPA1+…+((METn-1)*3.5*wt/200)*TPAn
wherein
METn is the Metabolic Equivalent (Metabolic Equisent),
wt is body weight (in kg),
TPAn is the time of each activity (total time of physical activity).
Female with a view to preventing the formation of wrinkles
EER＝(354-(6.91*Age))+PA*((9.36*wt)+(726*ht)+NCB
The respective english abbreviations of NCB ((MET1-1) × 3.5 × wt/200) × TPA1+ … + ((MET-1) × 3.5 × wt/200) × TPAn have the same meanings as above.
Preferably, a "20-180" performance assessment is made for the nutrient intake performance, physical exercise and lifestyle performance, physical risk performance, and the health index terms, wherein 100 is normal, 20 is worst, 180 is theoretical optimum, 20-100 is below normal average, improvement is desired, and 100-180 is above normal average and needs to be maintained.
According to another aspect of the present invention, there is also provided a method of assessing health risk by calculating a body mass index, the method comprising the steps of:
a) the personal information is input and the personal information is input,
b) calculating body quality index performance, waist-hip ratio performance, and body fat percentage performance,
c) and calculating the body mass index.
Preferably, the body mass index is calculated from a mathematical function including a body mass index performance, a waist-to-hip ratio performance, and a body fat percentage performance.
Preferably, the body mass index performance is calculated and evaluated from, but not limited to, body mass index factor quantification parameters,
1) the weight of the patient is measured by the weight meter,
2) height.
Preferably, the waist-hip ratio performance point is obtained by calculating and evaluating, but not limited to, a waist-hip ratio factor quantification parameter,
1) the waist circumference of the patient,
2) the hip circumference.
Preferably, the body fat percentage performance is calculated and evaluated from, but not limited to, body fat percentage factor quantification parameters,
1) the index of the body mass is,
2) the age of the patient in question,
3) sex.
Preferably, for the "20-140" performance assessment made for the body mass index performance, waist-hip ratio performance, body fat percentage performance and the body mass index, 100 is the normal value, 20 is the worst value, 140 is the theoretical optimal value, 20-100 is below the normal average value, improvement is required, 100-140 is above the normal average value and maintenance is required.
Drawings
Fig. 1 is a schematic block diagram of a health comprehensive evaluation system according to an embodiment of the present invention.
Fig. 2 is a flow diagram of calculating a Health Index (HI) according to one embodiment of the invention.
Fig. 3 is a flow chart of calculating total nutrient intake factor performance (NP) according to one embodiment of the present invention.
Fig. 4 is a flow chart of calculating total physical exercise and lifestyle factor performance (FLP) according to one embodiment of the present invention.
Fig. 5 is a flow diagram of calculating an overall body risk factor performance (RP) according to one embodiment of the present invention.
Fig. 6 is a block diagram of a system for assessing health risk by calculating a body mass index according to an embodiment of the present invention.
Fig. 7 is a flow chart of calculating a body mass index (WI) according to one embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to examples and drawings, but the present invention is not limited thereto.
Referring to fig. 1, a schematic block diagram for comprehensive health assessment according to an embodiment of the present invention is shown.
The system for comprehensive health assessment shown in fig. 1 comprises a main control module 102, an input module 101, an output module 103, a health index function analysis module 100, a health index function analysis module,A Chinese food ingredient table database 107 and a national nutrition database 108 of the United states department of agriculture, the health index function analysis module 100 comprises each nutrition intake factor NFn and a weight HIW corresponding to the nutrition intake factor NFnNFnEvaluation module 104, each physical exercise and lifestyle factor FLFn and weight HIW corresponding theretoFLFnEvaluation module 105, each physical risk factor RFn and weight HIW corresponding theretoRFnAn evaluation module 106. The input module 101 and the output module 103 are connected to the main control module 102, and each nutrient intake factor NFn and its corresponding weight HIW in the health index function analysis module 100NFnEvaluation module 104, each physical exercise and lifestyle factor FLFn and weight HIW corresponding theretoFLFnEvaluation module 105, each physical risk factor RFn and weight HIW corresponding theretoRFnAn evaluation module 106 is connected to the main control module 102, and the total nutrient intake factor performance (NP) evaluation module 104 is connected to the chinese food ingredient list database 107 and the national nutrition database 108 of the u.s.department of agriculture.
According to an embodiment of the present invention, the input module 101 is an intelligent input terminal; the output module 103 is a display output or a voice output. According to one embodiment of the invention, the system for comprehensive health assessment is an internet-based intelligent system, such as a handheld computer, a notebook computer, a desktop computer, a smart phone connected with a network. According to further embodiments of the present invention, the system for health care assessment also comprises a separate intelligent system not connected to the network, such as a palm top computer, a laptop computer, a desktop computer, a smart phone.
Figure 2 is a flow chart illustrating the steps in module 104 for calculating total nutrient intake factor performance (NP) according to a specific embodiment of the present invention.
In step 1, inputting personal information including information such as sex, age, height, weight, waist circumference, hip circumference, whether diabetes mellitus exists and the like;
in step 2, personal activity information is input, including activity type (metabolic equivalent MET) of each day and corresponding activity time;
inputting nutrition intake information in step 3;
at step 4, the Actual intake value (Actual) of each nutrient intake factor (NF1, …, NFn) is calculated. Nutrient uptake factors (NF1, …, NFn) include, but are not limited to, the following:
1) daily intake of calories or weekly intake of calories (NF1),
2) daily fat intake or weekly fat intake (NF2), including saturated fat (NF2.1) and trans fat intake (NF2.2),
3) daily cholesterol intake or weekly cholesterol intake (NF3),
4) daily sodium intake or weekly sodium intake (NF4),
5) daily carbohydrate intake or weekly carbohydrate intake (NF5),
6) daily dietary fiber intake or weekly dietary fiber intake (NF6),
7) daily protein intake or weekly protein intake (NF7),
in step 5, Standard values (Standard) for the nutrient intake factors (NF1, …, NFn) are derived from the data of step 1 and step 2.
Wherein the standard value of the daily calorie intake (NF1) is calculated by the following formula,
male sex
EER＝(662-(9.53*Age))+PA*((15.91*wt)+(539.6*ht)+NCB
Wherein
EER is an estimate of daily Energy demand (Estimated Energy Requirement),
age is the Age of the person to whom,
PA＝1，
wt is body weight (in kg),
age is the Age of the person to whom,
ht is height (in units, meters),
NCB is energy consumption (Net calls Burned),
NCB＝((MET1-1)*3.5*wt/200)*TPA1+…+((METn-1)*3.5*wt/200)*TPAn
wherein
METn is the Metabolic Equivalent of each activity (Metabolic Equivalent),
wt is body weight (in kg),
TPAn is the time of each activity (total time of physical activity).
Female with a view to preventing the formation of wrinkles
EER＝(354-(6.91*Age))+PA*((9.36*wt)+(726*ht)+NCB
NCB＝((MET1-1)*3.5*wt/200)*TPA1+…+((METn-1)*3.5*wt/200)*TPAn
In step 6, the deviation value% (Input) between the Actual intake value and the Standard value is calculated ((Actual-Standard)/Standard 100).
At step 7, a deviation value% (Input) is entered and the performance decision logic is checked to derive an initial performance for each nutrient intake factor (NF1, …, NFn).
For example, by the following judgment logic, the initial performance point (100 points are normal values, 20 points are worst values, 180 points are theoretical optimal values) of the daily calorie intake or weekly calorie intake (NF1),
for the initial performance of NF1, the above decision logic may be replaced by the following decision logic including body mass index (WI),
wherein
BMI is body mass index
WI is body mass index
In step 8, an influence weight (HIW) of each nutrient intake factor is calculated from the personal information provided in step 1NF1,…,HIWNFn) - (note, details of the calculations, see tables 1, 2 and their corresponding description).
In step 9, the performance Point (NF1 Point, …, NFn Point) of each nutrient intake factor is calculated from the results of step 7 and step 8.
In step 10, the performance point (NP) of the total nutrient intake factor is calculated by calculating the result obtained in step 9.
The flow chart of fig. 3 shows the steps of calculating a performance point (FLP) for the total physical exercise and lifestyle factors in module 105 according to an embodiment of the present invention.
In step 1, as shown in fig. 1, personal information including sex, age, height, weight, waist circumference, hip circumference, diabetes and the like is input;
at step 11, physical exercise and lifestyle factor (FLF1, …, FLFn) information is input. Physical exercise and lifestyle factors (FLF1, …, FLFn) include, but are not limited to, the following:
1) daily workout and time or weekly workout and time (FLF1),
2) daily alcohol intake or weekly alcohol intake (FLF2),
3) daily cigarette intake or weekly cigarette intake (FLF3),
4) daily or weekly quality of sleep (FLF4), including daily hours of sleep or weekly average daily hours (FLF4.1),
5) stress index assessments (FLF5), including the Holmes and Rahe Stress Scale (FLF5.1),
6) the pressure relieving habit (FLF6),
wherein, FLF1 is calculated by the following formula with activity equivalent (MET MIN) as unit,
FLF1＝MET1*MIN1+MET2*MIN2+…+METn*MINn
the pressure index assessment of FLF5 is obtained according to the pressure index table of the holms physician of the psychiatric institute of washington (Thomas Holmes & Richard Rahe) as follows:
among them, the stress relieving habits of FLF6 include, but are not limited to,
stress relieving habits
In step 12, Standard values (Standard) of physical exercise and lifestyle factors (FLF1, …, FLFn) are calculated from the information provided in step 1.
At step 13, the Actual values (Actual) of the physical exercise and lifestyle factors (FLF1, …, FLFn) are calculated from the information provided at step 11.
In step 14, the deviation value% (Input) between the Actual value and the Standard value is calculated ((Actual-Standard)/Standard 100).
In step 15, the deviation value% (Input) is Input and the performance assessment logic is examined to derive an initial performance point for each physical exercise and lifestyle factor (FLF1, …, FLFn).
In step 16, the weight (HIW) of each physical exercise and lifestyle factor influence is calculated from the personal information provided in step 1FLF1,…,HIWFLFn) - (note, details of the calculations, see tables 1, 2 and their corresponding description).
In step 17, the performance Point (FLF1 Point, …, FLFn Point) of each physical exercise and lifestyle factor is calculated from the results of step 15 and step 16.
In step 18, the performance point (FLP) of the total physical exercise and lifestyle factors is calculated by calculating the result obtained in step 17.
The flow chart of fig. 4 shows the steps of calculating a performance point (RP) for the overall physical risk factor in module 106 in a specific embodiment according to the present invention.
In step 1, as shown in fig. 1, personal information including sex, age, height, weight, waist circumference, hip circumference, diabetes and the like is input;
at step 19, relevant information of the physical risk factors (RF1, …, RFn) is input. Body risk factors (RF1, …, RFn) include, but are not limited to, the following:
1) the systolic pressure (RF1) is,
2) the diastolic pressure (RF2) of the patient,
3) at rest heart rate (RF3),
4) body fat composition (RF4) or waist-to-hip ratio (RF4.1),
5) the pH of the urine (RF5),
6) the amount of vital capacity (RF6),
7) the blood glucose (RF7) level,
8) total blood Triglycerides (TG) (RF8),
9) total blood cholesterol (TC) (RF9), including low density lipoprotein cholesterol (LDL) (RF9.1),
at step 20, the Actual value (Actual) of the physical risk factor (RF1, …, RFn) is calculated from the information provided at step 19.
In step 21, a Standard value (Standard) for the body risk factor (RF1, …, RFn) is calculated from the information provided in step 1.
In step 22, a deviation value% (Input) ((Actual-Standard)/Standard 100) is calculated.
At step 23, the performance determination logic is examined to derive an initial performance point (RF1, …, RFn) for each physical risk factor.
In step 24, a weight (HIW) for each physical risk factor influence is calculated from the personal information provided in step 1RF1,…,HIWRFn) - (note, details of the calculations, see tables 1, 2 and their corresponding description).
In step 25, the performance Point (RF1 Point, …, RFn Point) of each body risk factor is calculated from the results of step 23 and step 24.
At step 26, a performance point (RP) for the overall physical risk factor is calculated by calculating the result from step 25.
Fig. 5 is a flowchart illustrating specific steps for calculating a Health Index (HI) in the health index function analysis module 100 according to an embodiment of the present invention.
A performance point (NP) for the total nutrient intake factor has been derived, via step 10.
The performance point for the overall physical exercise and lifestyle Factors (FLP) has been derived, via step 18.
A performance point (RP) for the overall body risk factor has been derived, via step 26.
In step 27, the calculation results of step 10, step 18 and step 26 are inputted, and the Health Index (HI) result is calculated by an arithmetic function.
The system for evaluating health risk by calculating body mass index shown in fig. 6 comprises 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 output module 203 and the body mass index function analysis module 200 are connected with the main control module 202, the input module 201 is used for inputting personal information, wherein the body mass index function analysis module 200 comprises a body mass index evaluation module 204 for calculating body mass index, a waist-hip ratio evaluation module 205 for calculating waist-hip ratio, and a body fat percentage evaluation module 206 for calculating body fat percentage, the main control module 202 calculates body mass index based on the performance points of the body mass index BMI, waist-hip ratio and body fat percentage BFP, and the body mass index is output by the output module 203.
According to an embodiment of the present invention, the input module 201 is an input of an intelligent terminal; the output module 203 is a display output or a voice output. According to one embodiment of the invention, the means for weight loss or weight control comprises an internet-based palm-top computer, laptop computer, desktop computer or smart phone; or a separate palmtop, laptop, desktop or smartphone not connected to the network.
Fig. 7 is a flowchart showing specific steps for calculating the body mass index (WI) in the body mass index function analysis module 200 according to an embodiment of the present invention.
In step 1, as shown in fig. 7, personal information including sex, age, height, weight, waist circumference, hip circumference, diabetes and the like is input;
in steps 28-30, a body mass index performance (BMIpoint) is calculated in block 204:
at step 28, a Body Mass Index (BMI) is calculated,
the body mass index is calculated by, but not limited to, the following formula,
wherein
BMI is body mass index
Mass is body weight (unit: kilogram or pound)
Height is Height (unit: meter or inch)
In steps 29 and 30, a body mass index performance point (BMIpoint) is derived by examining the following, but not limited to, performance point determination logic (evaluation table):
in steps 31-33, a waist-hip ratio performance point (WHRpoint) is calculated in block 205:
in step 31, the waist-hip ratio (WHR) is calculated,
the waist-hip ratio is calculated by, but not limited to, the following formula,
WHR＝Waist Circumference/Hip Circumference
wherein
WHR is waist-hip ratio
The Waist Circuit is Waist Circumference (unit: meter or inch)
The Hip Circumference is Hip Circumference (unit: meter or inch)
In steps 32 and 33, a waist-to-hip ratio performance point (WHRpoint) is derived by examining the following, but not limited to, performance point determination logic (evaluation table):
at steps 34-36, a body fat percentage performance point (BFPpoint) is calculated in block 206:
at step 34, the percent Body Fat (BFP) is calculated,
the performance of calculating the body fat percentage is calculated by, but not limited to, the following formula,
more than 16 years old:
BFP＝(1.20×BMI)+(0.23×Age)-(10.8×sex)-5.4
wherein
BFP is body fat percentage
BMI is body mass index
Age is Age
The Sex is 1 for male and 0 for female.
In steps 35 and 36, the body fat percentage performance (BFPpoint) is derived by examining the following, but not limited to, performance determination logic (evaluation table):
in step 37, the calculation results of step 30, step 33 and step 36 are inputted, the Weight (WI) result is calculated by an arithmetic function, the health condition of the weight is evaluated by the following, but not limited to, weight index evaluation logic,
a system and method for "20-180" performance assessment,
each of the nutrient intake factors (NF1, …, NFn), each of the physical exercise and lifestyle factors (FLF1, …, FLFn), each of the physical risk factors (RF1, …, RFn), the total nutrient intake factor (NP), the total physical exercise and lifestyle Factor (FLP), the total physical risk factor (RP), the Health Index (HI), the Body Mass Index (BMI), the waist-hip ratio (WHR), and the Body Fat Percentage (BFP) may be evaluated by the performance evaluation method of "20-180" or "20-140", with 100 points being normal values, 20 points being worst values, and 180 points or 140 points being theoretical optimal values. Points 20-100 are below normal averages and need improvement. Above 100 points is an out of normal average value and needs to be maintained.
Table 1 below further illustrates a system and method for evaluating weights in a health index function analysis module 100 according to an embodiment of the present invention, and its application in Health Index (HI) calculation,
TABLE 1
In the schematic block diagram of the calculation method of Table 1, each nutrient intake factor NFn corresponds to a weight HIWNFnThe product of (a) yields the performance Point NFn Point for each nutrient intake factor. The performance point NP of the total nutrient intake factor is derived from the mathematical function of NF1 point, NF2 point, …, NFn point.
Each physical exercise and lifestyle factor FLFn and its corresponding weight HIWFLFnThe product of the two results yields the performance Point FLFn Point for each physical exercise and lifestyle factor. The performance point FLP of the overall physical exercise and lifestyle factors is derived from the mathematical functions of FLF1 point, FLF2 point, …, FLFn point.
Each body risk factor RFn and its corresponding weight HIWRFnThe product of (a) and (b) yields a performance Point RFn Point for each physical risk factor. The performance point RP of the overall body risk factor is derived from the mathematical function of RF1 point, RF2 point, …, RFn point.
The Health Index (HI) is derived from the mathematical functions of the performance point NP for the total nutrient intake factor, the performance point FLP for the total physical exercise and lifestyle factors, and the performance point RP for the total physical risk factor.
The mathematical functions include addition, subtraction, average, product, power, and logarithm.
The weight database of Table 2 below includes, but is not limited to, the weight corresponding to each nutrient intake factor NFnHeavy HIWNFnWeight HIW corresponding to each physical exercise and lifestyle factor FLFnFLFnWeight HIW for each body risk factor RFnRFn，
Weight database
TABLE 2
The above describes in detail the system and method for comprehensive health assessment according to the present invention, and more particularly, to a system and method for assessing health risk by calculating a health index and a system and method for assessing health risk by calculating a body mass index, by explaining fig. 1, fig. 2, fig. 3, fig. 4, fig. 5, fig. 6, fig. 7, and tables 1 and 2. The invention is described in more detail below by means of a more specific example,
LISIFO, male, 45 years old, 1.66m in height, 77Kg in weight, and non-diabetic patients. It is desirable to employ the system and method of the present invention to perform a comprehensive health assessment.
Firstly, a system and a method adopting body weight index are adopted to evaluate the health condition of the body weight of the plum four.
In step 1, personal information-male, 45 years old, height 1.66m, weight 77Kg, waist circumference 92cm, hip circumference 93cm, non-diabetic patient is entered.
At step 28, the Body Mass Index (BMI) is calculated to give a BMI of 27.9.
At steps 29 and 30, a body mass index performance point (BMIpoint) of 80 is obtained by examining the performance point determination logic (evaluation table) indicating a weight assessment based on BMI that is fat.
At step 31, a waist-to-hip ratio (WHR) is calculated from the waist and hip circumference data to yield a WHR of 0.99.
In steps 32 and 33, the waist-hip ratio performance point (WHRpoint) is found to be 80 by examining the performance point determination logic (evaluation table), indicating that the weight is being evaluated by WHR as being fat.
At step 34, the Body Fat Percentage (BFP) is calculated according to the formula,
BFP＝(1.20×BMI)+(0.23×Age)-(10.8×sex)-5.4
＝(1.20×24.5)+(0.23×45)-(10.8×1)-5.4
＝27.7
in steps 35 and 36, the body fat percentage performance point (BFPpoint) is found to be 80 by examining the performance point decision logic (evaluation table) indicating that the weight assessment results are fat based on BFP.
In step 37, the calculation results 80, 80 and 80 of step 30, step 33 and step 36 are inputted, and the result of calculating the body Weight (WI) from the mathematical function is still 80.
Therefore, it is "obesity" that the health of the body weight is evaluated based on the body mass index (WI).
We then used a system and method of health indices to assess the health risk of lie four.
First, the total nutrient intake factor performance (NP) is calculated according to the steps described in fig. 2.
In step 1, personal information-male, 45 years old, height 1.66m, weight 77Kg, waist circumference 92cm, hip circumference 93cm, non-diabetic, etc. is input.
In step 2, personal activity information is input, including activity type (metabolic equivalent MET) and corresponding activity time each day,
in step 3, inputting nutrition intake information-inputting Monday through Sunday nutrition intake information (omitting Tuesday, Thursday and Saturday intake information in this example),
in step 4, the Actual intake value (Actual) of each nutrient intake factor (NF1, …, NFn) (calculated from the Chinese food ingredient List database 107 and the national nutrient database 108 of the United states department of agriculture) is calculated from the nutrient intake information input in step 3,
1) daily caloric intake (NF1),
2) daily fat intake (NF2),
3) daily cholesterol intake (NF3),
4) daily sodium intake (NF4),
5) daily carbohydrate intake (NF5),
6) daily dietary fiber intake (NF6),
7) daily protein intake (NF7),
in step 5, the Standard value (Standard) of the nutrient intake factor (NF1, …, NFn) is obtained from the data of step 1 and step 2,
standard values (Standard) for nutrient intake factors (NF1, …, NFn)
In step 6, the deviation value% (Input) between the actual intake value and the standard value is calculated,
calculating the deviation value between the Actual intake value and the Standard value (Input) ═ Actual-Standard)/Standard-dx 100
In step 7, a deviation value% (Input) is entered, the performance decision logic is checked to derive an initial performance point for each nutrient intake factor (NF1, …, NFn),
in step 8, an influence weight (HIW) of each nutrient intake factor is calculated from the personal information provided in step 1NF1,…,HIWNFn),
In step 9, the performance Point (NF1 Point, …, NFn Point) of each nutrient intake factor is calculated from the results of step 7 and step 8.
In step 10, the performance point (NP) of the total nutrient intake factor is calculated by calculating the result obtained in step 9.
The following table, which is an example explanation of steps 7 to 10, finally yields a performance point (NP) for the total nutrient intake factor of 84.8,
at step 7, the decision logic may also be replaced with a decision logic containing body mass index (WI) on page 14 for the initial performance of NF 1.
The Body Mass Index (BMI) of prune four was 27.9 greater than 18.5 and the body mass index (WI) of prune four was 80 the initial performance point of NF1 in the above table was changed according to the new judgment logic, while the final performance point of total nutrient intake factor (NP) was changed to 77.3,
next, the performance point (FLP) of the total physical exercise and lifestyle factors is calculated according to the steps described in fig. 3.
In step 1, personal information has been entered.
In step 11, physical exercise and lifestyle factor (FLF1, …, FLFn) information is inputted,
1) daily workout and time or weekly workout and time (FLF1),
2) daily alcohol intake (FLF2),
3) cigarette intake per day (FLF3),
4) hours of daily sleep (FLF4.1),
5) pressure index assessment (FLF5),
6) the pressure relieving habit (FLF6),
inputting other physical exercise and lifestyle factors (FLF2, …, FLFn),
in step 12, Standard values (Standard) of physical exercise and lifestyle factors (FLF1, …, FLFn) are calculated from the information provided in step 1,
standard values (Standard) for physical exercise and lifestyle factors (FLF1, …, FLFn)
In step 13, the Actual values (Actual) of the physical exercise and lifestyle factors (FLF1, …, FLFn) are calculated from the information provided in step 11,
the other FLFs 2 to FLFn are the same as step 11.
In step 14, the deviation value% (Input) between the Actual value and the Standard value is calculated ((Actual-Standard)/Standard 100),
calculating the deviation value between the Actual intake value and the Standard value (Input) ═ Actual-Standard)/Standard-dx 100
In step 15, the deviation value% (Input) is Input, the performance assessment logic is examined to derive initial performance points (FLF1, …, FLFn) for each physical exercise and lifestyle factor,
in step 16, the weight (HIW) of each physical exercise and lifestyle factor influence is calculated from the personal information provided in step 1FLF1,…,HIWFLFn)，
In step 17, the performance Point (FLF1 Point, …, FLFn Point) of each physical exercise and lifestyle factor is calculated from the results of step 15 and step 16,
in step 18, the performance point (FLP) of the total physical exercise and lifestyle factors is calculated by calculating the result obtained in step 17.
The following table is an example explanation of steps 15 to 18, eventually yielding a performance point (FLP) of the total physical exercise and lifestyle factors of 107,
the performance point (RP) of the overall body risk factor is then calculated according to the steps described in figure 4.
In step 1, personal information has been entered.
In step 19, information about the physical risk factors (RF1, …, RFn) is entered,
at step 20, the Actual value (Actual) of the physical risk factor (RF1, …, RFn) is calculated from the information provided at step 19. In this step, the information of step 20 is identical to the information of step 19.
In step 21, a Standard value (Standard) for the body risk factor (RF1, …, RFn) is calculated from the information provided in step 1.
In step 22, a deviation value% (Input) ((Actual-Standard)/Standard 100) is calculated.
Information relating to body risk factors (RF1, …, RFn)
At step 23, the performance determination logic is examined to derive an initial performance point (RF1, …, RFn) for each physical risk factor.
In step 24, a weight (HIW) for each physical risk factor influence is calculated from the personal information provided in step 1RF1,…,HIWRFn) - (note, details of the calculations, see tables 1, 2 and their corresponding description).
In step 25, the performance Point (RF1 Point, …, RFn Point) of each body risk factor is calculated from the results of step 23 and step 24.
At step 26, a performance point (RP) for the overall physical risk factor is calculated by calculating the result from step 25. From step 23 to step 26, the performance point (RP) of the total body risk factor obtained after the result of the regular physical examination is finally obtained,
finally, following the steps described in FIG. 5, a Health Index (HI) of 90.1 was calculated,
NP 84.8
FLP 89.7
RP 96
HI＝f(NP,FLP,RP) 90.1
if the value of NF1 was calculated according to an algorithm including body mass index (WI), the performance point (NP) of the total nutrient intake factor changed to 77.3. The final Health Index (HI) became 87.3.
NP 77.3
FLP 89.7
RP 96
HI＝f(NP,FLP,RP) 87.3
Based on the results of the above various index analyses, the comprehensive health assessment of prune four is fat, and needs to pay attention to the nutrient intake, reduce the intake of calories, increase the exercise time, continue to maintain good habits, and perform regular physical examination to improve health.

Claims (43)

  1. A system for health assessment by calculating a health index, the system comprising a main control module (102), an input module (101), an output module (103), a health index function analysis module (100), wherein the input module (101), the output module (103) and the health index function analysis module (100) are connected to the main control module (102), the input module for inputting personal information, personal activity information, nutrient intake factor information, physical exercise and lifestyle factor information and physical risk factor information, wherein the health index function analysis module (100) comprises a nutrient intake factor evaluation module (104) for calculating a performance point of a nutrient intake factor NFn, a physical exercise and lifestyle factor evaluation module (105) for calculating a performance point of a physical exercise and lifestyle factor FLFn, And a physical risk factor evaluation module (106) for calculating a performance of a physical risk factor RFn, the master control module (102) calculating a health index on the basis of the performance of the nutrient intake factor NFn, the performance of the physical exercise and lifestyle factors FLFn and the performance of the physical risk factor RFn, the health index being output by the output module.
  2. The system of claim 1, wherein: the system further comprises a weight evaluation means, the health index being calculated by adding an evaluation weight, the weight evaluation means comprising an influence weight (HIW) for each nutrient intake factorNF1,…,HIWNFn) Weight of influence (HIW) of each physical exercise and lifestyle factorsFLF1,…,HIWFLFn) Weight of influence per physical risk factor (HIW)RF1,…,HIWRFn) A nutrition intake factor evaluation module (104), a physical exercise and lifestyle factors evaluation module (105), and a physical risk factor evaluation module (106) based on the weight of influence (HIW) of each of the nutrition intake factorsNF1,…,HIWNFn) Weight of influence (HIW) of each of the physical exercise and lifestyle factorsFLF1,…,HIWFLFn) And weight of influence (HIW) of each of the above-mentioned physical risk factorsRF1,…,HIWRFn) Calculating a nutritional intake performance point, a physical exercise and lifestyle habit performance point, and a physical risk performance point, respectively.
  3. The system of claim 1, wherein: the input module is used for inputting the intelligent terminal; the output module is used for displaying output or voice output; the system for comprehensive health assessment comprises an Internet-based palm computer, a notebook computer, a desktop computer or a smart phone; or a separate palmtop, laptop, desktop or smartphone not connected to the network.
  4. The system of claim 1, wherein: the system also comprises a Chinese food component table database (107) and a national nutrition database (108) of the United states department of agriculture, and the nutrition intake factor evaluation module (104) is connected with the Chinese food component table database (107) and the national nutrition database (108) of the United states department of agriculture.
  5. The system of claim 1, wherein: the health index is calculated by a mathematical function comprising a nutrition intake performance point, a physical exercise and life habit performance point and a physical risk performance point through a main control module.
  6. The system of claim 1, wherein the health index is calculated by a health index functional analysis module (100) from mathematical functions of nutritional intake performance, physical exercise and lifestyle performance, and physical risk performance.
  7. The system of claim 1, wherein said nutrient intake performance in module (104) is calculated and evaluated from, but not limited to, nutrient intake factor quantification parameters,
    1) daily intake of calories or weekly intake of calories (NF1),
    2) daily fat intake or weekly fat intake, including saturated fat and trans fat intake (NF2),
    3) daily cholesterol intake or weekly cholesterol intake (NF3),
    4) daily sodium intake or weekly sodium intake (NF4),
    5) daily carbohydrate intake or weekly carbohydrate intake (NF5),
    6) daily dietary fiber intake or weekly dietary fiber intake (NF6),
    7) daily protein intake or weekly protein intake (NF 7).
  8. The system of claim 7, wherein said nutrient intake performance in module (104) is calculated from a mathematical function comprised of said quantified parameters.
  9. The system of claim 1, wherein said physical exercise and lifestyle performance points in module (105) are calculated and evaluated from, but not limited to, physical exercise and lifestyle factor quantitative parameters,
    1) daily workout and time or weekly workout and time (FLF 1).
    2) Daily alcohol intake or weekly alcohol intake (FLF2),
    3) daily cigarette intake or weekly cigarette intake (FLF3),
    4) daily sleep quality, or weekly sleep quality, including hours of daily sleep or average hours of daily per week (FLF4),
    5) stress index assessments, including the Holmes and Rahe Stress Scale (FLF5),
    6) stress relief habits (FLF 6).
  10. The system of claim 9, wherein said physical exercise and lifestyle performance points in module (105) are calculated from a mathematical function comprised of said quantified parameters.
  11. The system of claim 1, wherein said body risk performance in module (106) is calculated and evaluated from, but not limited to, body risk factor quantitative parameters,
    1) the systolic pressure (RF1) is,
    2) the diastolic pressure (RF2) of the patient,
    3) at rest heart rate (RF3),
    4) body fat composition or waist-to-hip ratio (RF4),
    5) the pH of the urine (RF5),
    6) the amount of vital capacity (RF6),
    7) the blood glucose (RF7) level,
    8) total blood Triglycerides (TG) (RF8),
    9) total blood cholesterol (TC) (RF9), including low density lipoprotein cholesterol (LDL) (RF 9.1).
  12. The system as recited in claim 11, characterized in that the body risk performance in module (106) is computed as a mathematical function of the body risk factor quantification parameter.
  13. The system of claim 9, wherein said daily exercise session or weekly exercise session and time FLF1 in module (105) is in units of activity equivalents (MET-MIN) and is derived from the sum of the product of the time that each exercise session or weekly takes and the duration of that exercise session.
  14. The system of claim 7, wherein the standard value of calorie intake per day or calorie intake per week (NF1) in the module (104) is calculated as follows,
    male sex
    EER＝(662-(9.53*Age))+PA*((15.91*wt)+(539.6*ht)+NCB
    Wherein
    EER is an estimate of daily Energy demand (Estimated Energy Requirement),
    age is the Age of the person to whom,
    PA＝1，
    wt is body weight (in kg),
    age is the Age of the person to whom,
    ht is height (in units, meters),
    NCB is energy consumption (Net calls Burned),
    NCB＝((MET1-1)*3.5*wt/200)*TPA1+…+((METn-1)*3.5*wt/200)*TPAn
    wherein
    METn is the Metabolic Equivalent (Metabolic Equisent),
    wt is body weight (in kg),
    TPAn is the time of each activity (total time of physical activity).
    Female with a view to preventing the formation of wrinkles
    EER＝(354-(6.91*Age))+PA*((9.36*wt)+(726*ht)+NCB
    The respective english abbreviations of NCB ((MET1-1) × 3.5 × wt/200) × TPA1+ … + ((MET-1) × 3.5 × wt/200) × TPAn have the same meanings as above.
  15. The system as claimed in claims 6, 7, 9 or 11 wherein a "20-180" performance assessment is made for each of the performance points and the health index, 100 being normal, 20 being worst, 180 being theoretically optimal, 20-100 being below normal, requiring improvement, 100-180 being above normal, requiring continued maintenance.
  16. A method of assessing health risk by calculating a health index, the method comprising the steps of:
    a) inputting personal information, personal activity information, nutrition intake factor information, physical exercise and life habit factor information and physical risk factor information,
    b) calculating nutrient intake performance, physical exercise and lifestyle performance, and physical risk performance,
    c) and calculating the health index.
  17. The method of claim 16, wherein the wellness index is calculated from mathematical functions including nutritional intake performance, physical exercise and lifestyle performance, and physical risk performance.
  18. The method of claim 16, further characterized bySaid health index is calculated by adding a weight estimation device comprising for each nutrient intake factor an influence weight (HIW)NF1,…,HIWNFn) Weight per physical exercise and lifestyle factors (HIW)FLF1,…,HIWFLFn) Each body risk factor influence weight (HIW)RF1,…,HIWRFn)。
  19. The method of claim 16, wherein the nutrient intake performance is calculated and evaluated from, but not limited to, nutrient intake factor quantification parameters,
    1) daily intake of calories or weekly intake of calories (NF1),
    2) daily fat intake or weekly fat intake, including saturated fat and trans fat intake (NF2),
    3) daily cholesterol intake or weekly cholesterol intake (NF3),
    4) daily sodium intake or weekly sodium intake (NF4),
    5) daily carbohydrate intake or weekly carbohydrate intake (NF5),
    6) daily dietary fiber intake or weekly dietary fiber intake (NF6),
    7) daily protein intake or weekly protein intake (NF 7).
  20. The method of claim 19, said nutrient intake performance being calculated from a mathematical function consisting of said quantified parameters.
  21. The method of claim 16, wherein said physical exercise and lifestyle performance points are calculated and evaluated from, but not limited to, physical exercise and lifestyle factor quantitative parameters,
    1) daily workout and time or weekly workout and time (FLF 1).
    2) Daily alcohol intake or weekly alcohol intake (FLF2),
    3) daily cigarette intake or weekly cigarette intake (FLF3),
    4) daily sleep quality, or weekly sleep quality, including hours of daily sleep or average hours of daily per week (FLF4),
    5) stress index assessments, including the Holmes and Rahe Stress Scale (FLF5),
    6) stress relief habits (FLF 6).
  22. The method of claim 21 wherein said physical exercise and lifestyle performance points are calculated from a mathematical function comprised of said quantified parameters.
  23. The method of claim 16 wherein the body risk performance is calculated and evaluated from, but not limited to, body risk factor quantification parameters,
    1) the systolic pressure (RF1) is,
    2) the diastolic pressure (RF2) of the patient,
    3) at rest heart rate (RF3),
    4) body fat composition or waist-to-hip ratio (RF4),
    5) the pH of the urine (RF5),
    6) the amount of vital capacity (RF6),
    7) the blood glucose (RF7) level,
    8) total blood Triglycerides (TG) (RF8),
    9) total blood cholesterol (TC) (RF9), including low density lipoprotein cholesterol (LDL) (RF 9.1).
  24. The method of claim 23, wherein the body risk performance is calculated from a mathematical function consisting of the body risk factor quantification parameter.
  25. The method of claim 21, wherein said daily exercise session and time or weekly exercise session and time FLF1 are in units of activity equivalents (MET-MIN) and are derived from the sum of the products of the time each exercise session is daily or weekly multiplied by the duration of that exercise session.
  26. The method according to claim 19, wherein the standard value of the calorie intake per day or the calorie intake per week (NF1) is calculated as follows,
    male sex
    EER＝(662-(9.53*Age))+PA*((15.91*wt)+(539.6*ht)+NCB
    Wherein
    EER is an estimate of daily Energy demand (Estimated Energy Requirement),
    age is the Age of the person to whom,
    PA＝1，
    wt is body weight (in kg),
    age is the Age of the person to whom,
    ht is height (in units, meters),
    NCB is energy consumption (Net calls Burned),
    NCB＝((MET1-1)*3.5*wt/200)*TPA1+…+((METn-1)*3.5*wt/200)*TPAn
    wherein
    METn is the Metabolic Equivalent (Metabolic Equisent),
    wt is body weight (in kg),
    TPAn is the time of each activity (total time of physical activity).
    Female with a view to preventing the formation of wrinkles
    EER＝(354-(6.91*Age))+PA*((9.36*wt)+(726*ht)+NCB
    The respective english abbreviations of NCB ((MET1-1) × 3.5 × wt/200) × TPA1+ … + ((MET-1) × 3.5 × wt/200) × TPAn have the same meanings as above.
  27. The method as recited in claims 17, 19, 21 or 23 wherein a "20-180" performance assessment is made for each of the performance points and the health index term where 100 is normal, 20 is worst, 180 is theoretical optimal, 20-100 is below normal and needs improvement and 100-180 is beyond normal and needs to be maintained.
  28. A system for weight assessment by calculating a body mass index, 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 output module (103) and the body mass index function analysis module (200) are connected to the main control module (202), the input module being for inputting personal information wherein the body mass index function analysis module (200) comprises a module for calculating a body mass index assessment (204), a module for calculating a waist-hip ratio assessment (205) and a module for calculating a body fat percentage assessment (206), the main control module (202) calculating a body mass index on the basis of a performance point of the body mass index BMI, a performance point of the waist-hip ratio WHR and a performance point of the body fat percentage BFP, the body mass index is output by an output module.
  29. The system of claim 28, wherein: the input module is used for inputting the intelligent terminal; the output module is used for displaying output or voice output; the system for comprehensive health assessment comprises an Internet-based palm computer, a notebook computer, a desktop computer or a smart phone; or a separate palmtop, laptop, desktop or smartphone not connected to the network.
  30. The system of claim 28, wherein: the body weight index is calculated by a mathematical function comprising a body quality index performance point, a waist-hip ratio performance point and a body fat percentage performance point through a main control module.
  31. The system of claim 28, wherein the body mass index is calculated by a body mass index function analysis module (200) from a mathematical function of a body mass index performance, a waist-to-hip ratio performance, and a body fat percentage performance.
  32. The system according to claim 28, wherein said body mass index performance in a body mass index assessment module (204) is calculated and assessed from, but not limited to, body mass index factor quantification parameters,
    1) the weight of the patient is measured by the weight meter,
    2) height.
  33. The method as recited in claim 28, wherein the waist-to-hip ratio performance points in a waist-to-hip ratio evaluation module (205) are calculated and evaluated from, but not limited to, waist-to-hip ratio factor quantification parameters,
    1) the waist circumference of the patient,
    2) the hip circumference.
  34. The system according to claim 28, wherein said body fat percentage performance in a body fat percentage evaluation module (206) is calculated and evaluated from, but not limited to, body fat percentage factor quantification parameters,
    1) the index of the body mass is,
    2) the age of the patient in question,
    3) sex.
  35. The system as in claims 28, 32, 33 or 34 wherein a "20-140" performance assessment is made for each of the performance points and the body mass index, 100 being normal, 20 being worst, 140 being theoretically optimal, 20-100 being below normal, requiring improvement, 100-140 being above normal, requiring continued maintenance.
  36. A method of assessing health risk by calculating a body mass index, the method comprising the steps of:
    a) the personal information is input and the personal information is input,
    b) calculating body quality index performance, waist-hip ratio performance, and body fat percentage performance,
    c) and calculating the body mass index.
  37. The method of claim 36 wherein the body mass index is calculated from mathematical functions including body mass index performance, waist to hip ratio performance, body fat percentage performance.
  38. The method of claim 36 wherein the body mass index performance is calculated and evaluated from, but not limited to, body mass index factor quantitative parameters,
    1) the weight of the patient is measured by the weight meter,
    2) height.
  39. The method of claim 36 wherein said waist-to-hip ratio performance points are calculated and evaluated from, but not limited to, waist-to-hip ratio factor quantification parameters,
    1) the weight of the patient is measured by the weight meter,
    2) height.
  40. The method of claim 36 wherein said body fat percentage performance is calculated and evaluated from, but not limited to, body fat percentage factor quantification parameters,
    1) the index of the body mass is,
    2) the age of the patient in question,
    3) sex.
  41. The method as in claims 36, 38, 39 or 40 wherein a "20-140" performance assessment is made for each of the performance points and the body mass index term where 100 is normal, 20 is worst, 140 is theoretical optimal, 20-100 is below normal, improvement is required and 100-140 is above normal and needs to be maintained.
  42. The system of claim 7, further characterized in that the initial performance of daily calorie intake or weekly calorie intake (NF1) applies a system of body mass indices to the assessment process.
  43. The method of claim 19, further characterized by applying a body mass index method to the evaluation process for the initial performance of daily calorie intake or weekly calorie intake (NF 1).
CN201480049135.5A 2013-10-27 2014-10-28 Comprehensive health evaluation system and method Pending CN105981015A (en)

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