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CN104850725A - System and method used for health comprehensive assessment - Google Patents

System and method used for health comprehensive assessment Download PDF

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Publication number
CN104850725A
CN104850725A CN201310513621.5A CN201310513621A CN104850725A CN 104850725 A CN104850725 A CN 104850725A CN 201310513621 A CN201310513621 A CN 201310513621A CN 104850725 A CN104850725 A CN 104850725A
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intake
point
factor
day
physical
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Inventor
闫波
聂庭文
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Individual
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Priority to CN201310513621.5A priority Critical patent/CN104850725A/en
Priority to CN201480049135.5A priority patent/CN105981015A/en
Priority to PCT/CN2014/089613 priority patent/WO2015058729A1/en
Publication of CN104850725A publication Critical patent/CN104850725A/en
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    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/30ICT 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
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H20/00ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
    • G16H20/30ICT 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
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H20/00ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
    • G16H20/60ICT 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

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  • Medical Informatics (AREA)
  • Engineering & Computer Science (AREA)
  • Public Health (AREA)
  • 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

The present invention provides a system and a method which can comprehensively assess daily or weekly nutritional intake, the amount of exercises, living habits and life styles, and health risks of individual physical conditions. The system and method are characterized by comprising a system and a method for assuming health performance and a system and a method for assessing the health risks, the later system and method comprising formulas for calculating health indexes, system logics and flow charts. Through the above continuous comprehensive assessment, problems can be found out, nutritional intake can be improved and constantly optimized, the amount of exercises can be adjusted, the living habits and life styles can be improved, and thus an ideal health level can be achieved.

Description

For the system and method for healthy comprehensive assessment
Technical field:
The present invention relates to a kind of system for comprehensive health assessment and method thereof, particularly relating to a kind of system and the method thereof of assessing health risk by calculating health index.
Background technology
Human body all needs to obtain various nutriment from meals every day, maintains its existence, healthy and social life.If certain nutrient of taken long-term is not enough or the too much harm that corresponding nutritional deficiency or surplus just may occur.Various nutrient is reasonably taken in order to help people, from 20th century early nutrition scholar just the Dietary reference intakes of suggestion nutrient, from the forties to the eighties, many countries have all formulated the meals Middle nutrition element quantity delivered every day (RDA) of respective recommendation as design and the quality standard evaluating meals.
2000, the World Health Organization (WHO) proposed the new standard of human health, comprised human body health and mental health two parts.People have fully realized various diseases till now, and be exactly that life style is unhealthy causes after all!
For health examination that is healthy or sub-health population, to understand health status, early detection disease clue and healthy hidden danger, check body weight, blood pressure, blood fat, blood sugar, blood T-CHOL etc. index, fundamental purpose is to find whether there is potential disease, to take prevention and therapy measure in time by checking.
But, how synthetically can assess the health risk of the nutrition intake of every day, amount of exercise, habits and customs and life style, individual health, the but good solution of neither one and evaluating system.
Summary of the invention
In view of the problems referred to above that prior art exists, task of the present invention is to provide a kind of system and method for health risk synthetically can assessing every day or nutrition intake weekly, amount of exercise, habits and customs and life style, individual health.By this lasting comprehensive assessment, can pinpoint the problems, improve and continue to optimize nutrition intake, adjustment amount of exercise, adjustment habits and customs and life style, and then reach the ideal general level of the health.
According to the present invention, propose a kind of system of carrying out health evaluating by calculating health index, described system comprises main control module (102), load module (101), output module (103), health index functional analysis module (100), wherein said load module (101), described output module (103) is connected with described main control module (102) with described health index functional analysis module (100), described load module is for inputting personal information, individual activity information, nutrition intake factor information, physical exercise and habits and customs factor information and physical risk factor information, wherein, described health index functional analysis module (100) comprises the nutrition intake factor evaluation module (104) of the point for calculating nutrition intake factor NFn, for calculating physical exercise and the habits and customs factor evaluation module (105) of the point of physical exercise and habits and customs factor FLFn, with the physical risk factor evaluation module (106) of the point for calculating physical risk factor R Fn, described main control module (102) is at the point of described nutrition intake factor NFn, the basis of the point of physical exercise and habits and customs factor FLFn and the point of physical risk factor R Fn calculates health index, described health index is exported by output module.
Preferably, described system also comprises right assessment device, and health index can add assessment weight and calculate, and right assessment device comprises the weighing factor (HIW for each nutrition intake factor nF1..., HIW nFn), the weighing factor (HIW of each physical exercise and the habits and customs factor fLF1..., HIW fLFn), the weighing factor (HIW of each physical risk factor rF1..., HIW rFn), nutrition intake factor evaluation module (104), physical exercise and habits and customs factor evaluation module (105), physical risk factor evaluation module (106) are based on the weighing factor (HIW of above-mentioned each nutrition intake factor nF1..., HIW nFn), the weighing factor (HIW of above-mentioned each physical exercise and the habits and customs factor fLF1..., HIW fLFn) and the weighing factor (HIW of above-mentioned each physical risk factor rF1..., HIW rFn) calculate nutrition intake point respectively, physical exercise and habits and customs point, and physical risk point.
Preferably, described load module is the input of intelligent terminal; Described output module is display translation or voice output; The described system for healthy comprehensive assessment comprise based on internet palm PC, notebook computer, desktop computer or smart mobile phone; Or comprise independent palm PC, notebook computer, desktop computer or smart mobile phone not connected to the network.
Preferably, described system also comprises Chinese food component list database (107) and United States Department of Agriculture's National Nutrient Database, and described nutrition intake factor evaluation module is connected with described Chinese food component list database and United States Department of Agriculture's National Nutrient Database.
Preferably, described health index by main control module by comprising nutrition intake point, physical exercise and habits and customs point, the arithmetic function of physical risk point calculates.
Preferably, described health index is by health index functional analysis module (100), is calculated by the arithmetic function of nutrition intake point, physical exercise and habits and customs point, physical risk point.
Preferably, described in nutrition intake factor evaluation module (104), nutrition intake point is by following, but is not limited to, and nutrition intake factor quantification parameter calculates and assessment gained,
1) every day caloric intake or caloric intake per week (NF1),
2) every day fat intake or fat intake per week, comprise the intake (NF2) of saturated fat and trans fats,
3) every day cholesterol intake or the intake (NF3) of cholesterol per week,
4) every day sodium intake or the intake (NF4) of sodium per week,
5) every day carbohydrates intake or the intake (NF5) of carbohydrates per week,
6) every day dietary fiber intake or the intake (NF6) of dietary fiber per week,
7) every day protein intake or the intake (NF7) of protein per week.
Preferably, nutrition intake point described in nutrition intake factor evaluation module (104) is that the arithmetic function be made up of described quantization parameter calculates.
Preferably, described in physical exercise and habits and customs factor evaluation module (105), physical exercise and habits and customs point are by following, but are not limited to, and physical exercise and habits and customs factor quantification parameter calculate and assessment gained,
1) every day exercise event and time or exercise event per week and time (FLF1).
2) every day alcohol intake or the intake (FLF2) of alcohol per week,
3) every day cigarette intake or the intake (FLF3) of cigarette per week,
4) every day sleep quality or sleep quality per week, comprise sleep every day hourage or average hourage every day (FLF4) per week,
5) pressure index assessment, comprises Huo Musi and La He Stress appraisal (Holmes and Rahe Stress Scale) (FLF5),
6) pressure eliminates custom (FLF6).
Preferably, physical exercise described in physical exercise and habits and customs factor evaluation module (105) and habits and customs point are that the arithmetic function be made up of described quantization parameter calculates.
Preferably, described in physical risk factor evaluation module (106), physical risk point is by following, but is not limited to, and physical risk factor quantification parameter calculates and assessment gained,
1) systolic pressure (RF1),
2) diastolic pressure (RF2),
3) resting heart rate (RF3),
4) body fat composition or waist-to-hipratio (RF4),
5) urine ph values (RF5),
6) vital capacity (RF6),
7) blood sugar (RF7),
8) total blood triglyceride (TG) (RF8),
9) blood T-CHOL (TC) (RF9), comprises LDL-C (LDL) (RF9.1).
Preferably, physical risk point described in physical risk factor evaluation module (106) is that the arithmetic function be made up of described physical risk factor quantification parameter calculates.
Preferably, every day described in physical exercise and habits and customs factor evaluation module (105) exercise event and time or exercise event per week and time FLF1 be with movable equivalent (MET-MIN) for unit, the summation of the time product continued by every day or each exercise event per week and this exercise event draws.
Preferably, the standard value computing formula of nutrition intake factor evaluation module (104) caloric intake middle every day or caloric intake per week (NF1) is as follows,
the male sex
EER=(662-(9.53*Age))+PA*((15.91*wt)+(539.6*ht)+NCB
Wherein
EER is the estimated value (Estimated Energy Requirement) of energy requirement every day,
Age is the age,
PA=1,
Wt is body weight (unit, kilogram),
Age is the age,
Ht is height (unit, rice),
NCB Shi Net energy consumption (Net Calories Burned),
NCB=((MET1-1)*3.5*wt/200)*TPA1+…+((METn-1)*3.5*wt/200)*TPAn
Wherein
METn is metabolic equivalent (Metabolic Equivalent),
Wt is body weight (unit, kilogram),
TPAn is each movable time (total time of physical activity).
women
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 implication of each english abbreviation is the same.
Preferably, for " 20 – 180 " point assessment that each point described and described health index are made, 100 is normal value, 20 is worst-case value, 180 is theoretical optimal value, and 20 – 100 are lower than normal average value, needs to improve, 100 – 180, for exceeding normal average value, need to continue to keep.
According to a further aspect in the invention, also proposed a kind of method assessing health risk by calculating health index, the method comprises the following steps:
A) personal information, individual activity information, nutrition intake factor information, physical exercise and habits and customs factor information and physical risk factor information is inputted,
B) nutrition intake point is calculated, physical exercise and habits and customs point, and physical risk point,
C) health index is calculated.
Preferably, described health index be by comprising nutrition intake point, physical exercise and habits and customs point, the arithmetic function of physical risk point calculates.
Preferably, described health index is calculated by the method adding right assessment, and right assessment device comprises for each nutrition intake Effects of Factors weight (HIW nF1..., HIW nFn), each physical exercise and habits and customs Effects of Factors weight (HIW fLF1..., HIW fLFn), each physical risk Effects of Factors weight (HIW rF1..., HIW rFn).
Preferably, described nutrition intake point is by following, but is not limited to, and nutrition intake factor quantification parameter calculates and assessment gained,
1) every day caloric intake or caloric intake per week (NF1),
2) every day fat intake or fat intake per week, comprise the intake (NF2) of saturated fat and trans fats,
3) every day cholesterol intake or the intake (NF3) of cholesterol per week,
4) every day sodium intake or the intake (NF4) of sodium per week,
5) every day carbohydrates intake or the intake (NF5) of carbohydrates per week,
6) every day dietary fiber intake or the intake (NF6) of dietary fiber per week,
7) every day protein intake or the intake (NF7) of protein per week.
Preferably, described nutrition intake point is that the arithmetic function be made up of described quantization parameter calculates.
Preferably, described physical exercise and habits and customs point are by following, but are not limited to, and physical exercise and habits and customs factor quantification parameter calculate and assessment gained,
1) every day exercise event and time or exercise event per week and time (FLF1).
2) every day alcohol intake or the intake (FLF2) of alcohol per week,
3) every day cigarette intake or the intake (FLF3) of cigarette per week,
4) every day sleep quality or sleep quality per week, comprise sleep every day hourage or average hourage every day (FLF4) per week,
5) pressure index assessment, comprises Huo Musi and La He Stress appraisal (Holmes and Rahe Stress Scale) (FLF5),
6) pressure eliminates custom (FLF6).
Preferably, described physical exercise and habits and customs point are that the arithmetic function be made up of described quantization parameter calculates.
Preferably, described physical risk point is by following, but is not limited to, and physical risk factor quantification parameter calculates and assessment gained,
1) systolic pressure (RF1),
2) diastolic pressure (RF2),
3) resting heart rate (RF3),
4) body fat composition or waist-to-hipratio (RF4),
5) urine ph values (RF5),
6) vital capacity (RF6),
7) blood sugar (RF7),
8) total blood triglyceride (TG) (RF8),
9) blood T-CHOL (TC) (RF9), comprises LDL-C (LDL) (RF9.1).
Preferably, described physical risk point is that the arithmetic function be made up of described physical risk factor quantification parameter calculates.
Preferably, described every day exercise event and time or exercise event per week and time FLF1 be with movable equivalent (MET-MIN) for unit, the summation of the time product continued by every day or each exercise event per week and this exercise event draws.
Preferably, every day caloric intake or the standard value computing formula of caloric intake per week (NF1) as follows,
the male sex
EER=(662-(9.53*Age))+PA*((15.91*wt)+(539.6*ht)+NCB
Wherein
EER is the estimated value (Estimated Energy Requirement) of energy requirement every day,
Age is the age,
PA=1,
Wt is body weight (unit, kilogram),
Age is the age,
Ht is height (unit, rice),
NCB Shi Net energy consumption (Net Calories Burned),
NCB=((MET1-1)*3.5*wt/200)*TPA1+…+((METn-1)*3.5*wt/200)*TPAn
Wherein
METn is metabolic equivalent (Metabolic Equivalent),
Wt is body weight (unit, kilogram),
TPAn is each movable time (total time of physical activity).
women
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 implication of each english abbreviation is the same.
Preferably, for " 20 – 180 " point assessment that each point described and described health index item are made, wherein 100 is normal value, 20 is worst-case value, 180 is theoretical optimal value, and 20 – 100 are lower than normal average value, needs to improve, 100 – 180, for exceeding normal average value, need to continue to keep.
Accompanying drawing explanation
Fig. 1 is the modular structure schematic diagram for healthy integrated estimation system according to an embodiment of the invention.
Fig. 2 is the process flow diagram of calculating health index (HI) according to an embodiment of the invention.
Fig. 3 is the process flow diagram of calculating according to an embodiment of the invention total nutrition intake factor point (NP).
Fig. 4 is the process flow diagram of the total physical exercise of calculating according to an embodiment of the invention and habits and customs factor point (FLP).
Fig. 5 is the process flow diagram of calculating according to an embodiment of the invention total physical risk factor point (RP).
Embodiment
Below in conjunction with embodiment and accompanying drawing, the present invention is described in further detail, but embodiments of the present invention are not limited thereto.
Refer to Fig. 1, show the modular structure schematic diagram for healthy comprehensive assessment according to an embodiment of the invention.
The described system for healthy comprehensive assessment as shown in Figure 1 comprises main control module 102, load module 101, output module 103, health index functional analysis module 100, Chinese food component list database 107 and United States Department of Agriculture's National Nutrient Database 108, and described health index functional analysis module 100 comprises each nutrition intake factor NFn and the weight HIW corresponding with it nFnevaluation module 104, each physical exercise and habits and customs factor FLFn and the weight HIW corresponding with it fLFnevaluation module 105, each physical risk factor R Fn and the weight HIW corresponding with it rFnevaluation module 106.Load module 101 described in it is connected with described main control module 102 with described output module 103, each nutrition intake factor NFn in described health index functional analysis the module 100 and weight HIW corresponding with it nFnevaluation module 104, each physical exercise and habits and customs factor FLFn and the weight HIW corresponding with it fLFnevaluation module 105, each physical risk factor R Fn and the weight HIW corresponding with it rFnevaluation module 106 is connected with described main control module 102 respectively, and described total nutrition intake factor point (NP) evaluation module 104 is connected with described Chinese food component list database 107 and United States Department of Agriculture's National Nutrient Database 108.
According to one embodiment of present invention, described load module 101 is intelligent input terminal; Described output module 103 is display translation or voice output.According to one embodiment of present invention, the described system for healthy comprehensive assessment is the intelligent system based on internet, palm PC such as connected to the network, notebook computer, desktop computer, smart mobile phone.According to another embodiment of the invention, the system for healthy comprehensive assessment also comprises independent intelligent system not connected to the network, such as palm PC, notebook computer, desktop computer, smart mobile phone.
The process flow diagram of Fig. 2 shows the step calculating total nutrition intake factor point (NP) in module 104 according to a particular embodiment of the invention.
In step 1, input personal information, comprises the information such as sex, age, height, body weight, waistline, hip circumference, whether diabetes;
In step 2, input individual activity information, comprises the Activity Type (metabolic equivalent MET) of every day and the activity time of correspondence;
In step 3, input nutrition intake information;
In step 4, calculate each nutrition intake factor (NF1 ..., NFn) actual absorption value (Actual).The nutrition intake factor (NF1 ..., NFn) and include, but not limited to the following factor:
1) every day caloric intake or caloric intake per week (NF1),
2) every day fat intake or fat intake per week (NF2), comprise the intake (NF2.2) of saturated fat (NF2.1) and trans fats,
3) every day cholesterol intake or the intake (NF3) of cholesterol per week,
4) every day sodium intake or the intake (NF4) of sodium per week,
5) every day carbohydrates intake or the intake (NF5) of carbohydrates per week,
6) every day dietary fiber intake or the intake (NF6) of dietary fiber per week,
7) every day protein intake or the intake (NF7) of protein per week,
In step 5, by the data of step 1 and step 2 draw the nutrition intake factor (NF1 ..., NFn) standard value (Standard).
Wherein, the standard value computing formula of caloric intake every day (NF1) is as follows,
the male sex
EER=(662-(9.53*Age))+PA*((15.91*wt)+(539.6*ht)+NCB
Wherein
EER is the estimated value (Estimated Energy Requirement) of energy requirement every day,
Age is the age,
PA=1,
Wt is body weight (unit, kilogram),
Age is the age,
Ht is height (unit, rice),
NCB Shi Net energy consumption (Net Calories Burned),
NCB=((MET1-1)*3.5*wt/200)*TPA1+…+((METn-1)*3.5*wt/200)*TPAn
Wherein
METn is each movable metabolic equivalent (Metabolic Equivalent),
Wt is body weight (unit, kilogram),
TPAn is each movable time (total time of physical activity).
women
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, calculate the deviate %(Input between actual absorption value and standard value) ,=((Actual – Standard)/Standard x100).
In step 7, input deviation value %(Input), check point decision logic, thus draw each nutrition intake factor (NF1 ..., NFn) initial point.
Such as by following decision logic, draw caloric intake or the initial point (be normal value, and be worst-case value, and be theoretical optimal value) of caloric intake per week (NF1) every day at 100 at 20 at 180,
In step 8, the personal information provided by step 1, calculates each nutrition intake Effects of Factors weight (HIW nF1..., HIW nFn)-(notes, and the concrete computational details, refers to table 1, table 2 and corresponding description thereof).
In step 9, by the result of step 7 and step 8, calculate each nutrition intake factor point (NF1Point ..., NFn Point).
In step 10, the result drawn by calculation procedure 9, calculates the point (NP) of total nutrition intake factor.
The process flow diagram of Fig. 3 shows the step of the point (FLP) calculating total physical exercise and the habits and customs factor in module 105 according to a particular embodiment of the invention.
In step 1, same to Fig. 1, input personal information, comprises the information such as sex, age, height, body weight, waistline, hip circumference, whether diabetes;
In step 11, input physical exercise and the habits and customs factor (FLF1 ..., FLFn) and information.Physical exercise and the habits and customs factor (FLF1 ..., FLFn) and include, but not limited to the following factor:
1) every day exercise event and time or exercise event per week and time (FLF1),
2) every day alcohol intake or the intake (FLF2) of alcohol per week,
3) every day cigarette intake or the intake (FLF3) of cigarette per week,
4) every day sleep quality or sleep quality per week (FLF4), comprise sleep every day hourage or average hourage every day (FLF4.1) per week,
5) pressure index assessment (FLF5), comprises Huo Musi and La He Stress appraisal (Holmes and Rahe Stress Scale) (FLF5.1),
6) pressure eliminates custom (FLF6),
Wherein, FLF1 is with movable equivalent (MET-MIN) for unit, by following formulae discovery gained,
FLF1=MET1-MIN1+MET2-MIN2+…+METn-MINn
Wherein, the pressure index assessment described in FLF5 is according to Washington medical college mental specialist Andy Holmes doctor (Thomas Holmes & Richard Rahe) the following gained of pressure index table:
Wherein, the pressure described in FLF6 is eliminated custom and is included but not limited to following custom,
Pressure eliminates custom
In step 12, by the information that provided by step 1 calculate physical exercise and the habits and customs factor (FLF1 ..., FLFn) standard value (Standard).
In step 13, the information provided by step 11, calculate physical exercise and the habits and customs factor (FLF1 ..., FLFn) actual value (Actual).
In step 14, calculate the deviate %(Input between actual value and standard value) ,=((Actual – Standard)/Standard x100).
In step 15, input deviation value %(Input), check point decision logic, thus draw every individual exercises and the habits and customs factor initial point (FLF1 ..., FLFn).
In step 16, the personal information provided by step 1, calculates the weight (HIW of each physical exercise and habits and customs Effects of Factors fLF1..., HIW fLFn)-(notes, and the concrete computational details, refers to table 1, table 2 and corresponding description thereof).
In step 17, by the result of step 15 and step 16, calculate every individual exercises and the habits and customs factor point (FLF1Point ..., FLFn Point).
In step 18, the result drawn by calculation procedure 17, calculates the point (FLP) of total physical exercise and the habits and customs factor.
The process flow diagram of Fig. 4 shows the step calculating the point (RP) of total physical risk factor in the module 106 according to a particular embodiment of the invention.
In step 1, same to Fig. 1, input personal information, comprises the information such as sex, age, height, body weight, waistline, hip circumference, whether diabetes;
In step 19, the input physical risk factor (RF1 ..., RFn) relevant information.The physical risk factor (RF1 ..., RFn) and include, but not limited to the following factor:
1) systolic pressure (RF1),
2) diastolic pressure (RF2),
3) resting heart rate (RF3),
4) body fat composition (RF4) or waist-to-hipratio (RF4.1),
5) urine ph values (RF5),
6) vital capacity (RF6),
7) blood sugar (RF7),
8) total blood triglyceride (TG) (RF8),
9) blood T-CHOL (TC) (RF9), comprises LDL-C (LDL) (RF9.1),
In step 20, the information provided by step 19, the calculating physical risk factor (RF1 ..., RFn) actual value (Actual).
In step 21, by the information that provided by step 1 calculate the physical risk factor (RF1 ..., RFn) standard value (Standard).
In step 22, calculation deviation value %(Input) ,=((Actual – Standard)/Standard x100).
In step 23, check point decision logic, thus draw each physical risk factor initial point (RF1 ..., RFn).
In step 24, the personal information provided by step 1, calculates the weight (HIW of each physical risk Effects of Factors rF1..., HIW rFn)-(notes, and the concrete computational details, refers to table 1, table 2 and corresponding description thereof).
In step 25, by the result of step 23 and step 24, calculate each physical risk factor point (RF1Point ..., RFn Point).
In step 26, the result drawn by calculation procedure 25, calculates the point (RP) of total physical risk factor.
The process flow diagram of Fig. 5 shows the concrete steps calculating health index (HI) in health index functional analysis module 100 according to a particular embodiment of the invention.
By step 10, draw the point (NP) of total nutrition intake factor.
By step 18, draw the point (FLP) of total physical exercise and the habits and customs factor.
By step 26, draw the point (RP) of total physical risk factor.
In step 27, the result of calculation of input step 10, step 18 and step 26, is calculated the result of health index (HI) by arithmetic function.
The system and method for " 20 – 180 " point assessment,
The each nutrition intake factor (NF1, NFn), each physical exercise and the habits and customs factor (FLF1,, FLFn), each physical risk factor (RF1 ... RFn), total nutrition intake factor (NP), total physical exercise and the habits and customs factor (FLP), total physical risk factor (RP), health index (HI) all use the point appraisal procedure of " 20 – 180 ", 100 is normal value, and 20 is worst-case value, and 180 is theoretical optimal value.20 – 100 are lower than normal average value, need to improve.100 – 180, for exceeding normal average value, need to continue to keep.
The system and method for assessment weight in health index functional analysis module 100 is according to a particular embodiment of the invention further illustrated with following table 1, and the application in health index (HI) calculates,
table 1
In the computing method schematic block diagram of table 1, the weight HIW that each nutrition intake factor NFn is corresponding with it nFnproduct draw the point NFn Point of each nutrition intake factor.By NF1point, NF2point ..., the arithmetic function of NFn point draws the point NP of total nutrition intake factor.
Each physical exercise and the habits and customs factor FLFn weight HIW corresponding with it fLFnproduct draw the point FLFn Point of each physical exercise and the habits and customs factor.By FLF1point, FLF2point ..., the arithmetic function of FLFn point draws the point FLP of total physical exercise and the habits and customs factor.
The weight HIW that each physical risk factor R Fn is corresponding with it rFnproduct draw the point RFn Point of each physical risk factor.By RF1point, RF2point ..., the arithmetic function of RFn point draws the point RP of total physical risk factor.
The point FLP of the point NP of total nutrition intake factor, total physical exercise and the habits and customs factor, the point RP of total physical risk factor, the arithmetic function of this three draws health index (HI).
The function that above-described arithmetic function comprises has on average, product, power, logarithm etc.
Include with the weight database of following table 2, but be not limited to, the weight HIW that each nutrition intake factor NFn is corresponding nFn, each physical exercise and weight HIW corresponding to habits and customs factor FLFn fLFn, weight HIW that each physical risk factor R Fn is corresponding rFn,
Weight database
table 2
More than by the explanation to Fig. 1, Fig. 2, Fig. 3, Fig. 4, Fig. 5 and table 1, table 2, describing a kind of system for comprehensive health assessment and method thereof that the present invention relates in detail, particularly relating to a kind of system and the method thereof of assessing health risk by calculating health index.Below by way of a more specifically example in detail, the present invention is described in detail,
Zhang San, man, 45 years old, height 1.72m, body weight 72Kg, BMI24.5, ND.Wish to adopt system and method for the present invention, carry out a comprehensive health evaluating.
First, according to the step described in Fig. 2, calculate total nutrition intake factor point (NP).
In step 1, input personal information-man, 45 years old, height 1.72m, body weight 72Kg, BMI24.5, ND etc.
In step 2, input individual activity information, comprises the Activity Type (metabolic equivalent MET) of every day and the activity time of correspondence,
In step 3, input nutrition intake Xin Xi – inputs the nutrition intake information (omitting the absorption information on Tu., Thursday and Saturday in this example) on Monday to Sunday,
In step 4, calculate each nutrition intake factor (NF1 ... NFn) actual absorption value (Actual) (the nutrition intake information inputted by step 3, according to Chinese food component list database 107 and United States Department of Agriculture's National Nutrient Database 108, calculate)
1) caloric intake every day (NF1),
2) fat intake every day (NF2),
3) every day cholesterol intake (NF3),
4) every day sodium intake (NF4),
5) every day carbohydrates intake (NF5),
6) every day dietary fiber intake (NF6),
7) every day protein intake (NF7),
In step 5, by the data of step 1 and step 2 draw the nutrition intake factor (NF1 ..., NFn) standard value (Standard),
The nutrition intake factor (NF1 ..., NFn) standard value (Standard)
In step 6, calculate the deviate %(Input between actual absorption value and standard value),
Calculate the deviate %(Input between actual absorption value and standard value)
=(Actual––Standard)/Standard x100
In step 7, input deviation value %(Input), check point decision logic, thus draw each nutrition intake factor (NF1 ..., NFn) initial point,
In step 8, the personal information provided by step 1, calculates each nutrition intake Effects of Factors weight (HIW nF1..., HIW nFn),
In step 9, by the result of step 7 and step 8, calculate the point of each nutrition intake factor
(NF1Point,…,NFn Point)。
In step 10, the result drawn by calculation procedure 9, calculates the point (NP) of total nutrition intake factor.
Following form is the instance interpretation of step 7 to step 10, finally show that the point (NP) of total nutrition intake factor is 103,
Secondly, according to the step described in Fig. 3, the point (FLP) of total physical exercise and the habits and customs factor is calculated.
In step 1, have input personal information.
In step 11, input physical exercise and the habits and customs factor (FLF1 ..., FLFn) and information,
1) every day exercise event and time or exercise event per week and time (FLF1),
2) every day alcohol intake (FLF2),
3) every day cigarette intake (FLF3),
4) to sleep every day hourage (FLF4.1),
5) pressure index assessment (FLF5),
6) pressure eliminates custom (FLF6),
Input other physical exercise and the habits and customs factor (FLF2 ..., FLFn),
In step 12, by the information that provided by step 1 calculate physical exercise and the habits and customs factor (FLF1 ..., FLFn) standard value (Standard),
Physical exercise and the habits and customs factor (FLF1 ..., FLFn) standard value (Standard)
In step 13, the information provided by step 11, calculate physical exercise and the habits and customs factor (FLF1 ..., FLFn) actual value (Actual),
Other FLF2 to FLFn is with step 11.
In step 14, calculate the deviate %(Input between actual value and standard value) ,=((Actual – Standard)/Standard x100),
Calculate the deviate %(Input between actual absorption value and standard value)
=(Actual–Standard)/Standard x100
In step 15, input deviation value %(Input), check point decision logic, thus draw every individual exercises and the habits and customs factor initial point (FLF1 ..., FLFn),
In step 16, the personal information provided by step 1, calculates the weight (HIW of each physical exercise and habits and customs Effects of Factors fLF1..., HIW fLFn),
In step 17, by the result of step 15 and step 16, calculate every individual exercises and the habits and customs factor point (FLF1Point ..., FLFn Point),
In step 18, the result drawn by calculation procedure 17, calculates the point (FLP) of total physical exercise and the habits and customs factor.
Following form is the instance interpretation of step 15 to step 18, finally show that the point (FLP) of total nutrition intake factor is 107,
Then, according to the step described in Fig. 4, calculate the point (RP) of total physical risk factor.
In step 1, have input personal information.
In step 19, the input physical risk factor (RF1 ..., RFn) relevant information,
In step 20, the information provided by step 19, the calculating physical risk factor (RF1 ..., RFn) actual value (Actual).In this step, the information of step 20 is equal to the information of step 19.
In step 21, by the information that provided by step 1 calculate the physical risk factor (RF1 ..., RFn) standard value (Standard).
In step 22, calculation deviation value %(Input) ,=((Actual – Standard)/Standard x100).
The physical risk factor (RF1 ..., RFn) relevant information
In step 23, check point decision logic, thus draw each physical risk factor initial point (RF1 ..., RFn).
In step 24, the personal information provided by step 1, calculates the weight (HIW of each physical risk Effects of Factors rF1..., HIW rFn)-(notes, and the concrete computational details, refers to table 1, table 2 and corresponding description thereof).
In step 25, by the result of step 23 and step 24, calculate each physical risk factor point (RF1Point ..., RFn Point).
In step 26, the result drawn by calculation procedure 25, calculates the point (RP) of total physical risk factor.
By step 23 to step 26, the point (RP) of the total physical risk factor drawn after finally drawing the result that has regular physical checkups,
Finally, according to the step described in Fig. 5, calculating health index (HI) is 102,
NP 103
FLP 107
RP 96
HI=f(NP,FLP,RP) 102
Because the health index HI final score of Zhang San is 102, so his comprehensive health assessment is good.

Claims (27)

1. one kind is carried out the system of health evaluating by calculating health index, described system comprises main control module (102), load module (101), output module (103), health index functional analysis module (100), wherein said load module (101), described output module (103) is connected with described main control module (102) with described health index functional analysis module (100), described load module is for inputting personal information, individual activity information, nutrition intake factor information, physical exercise and habits and customs factor information and physical risk factor information, wherein, described health index functional analysis module (100) comprises the nutrition intake factor evaluation module (104) of the point for calculating nutrition intake factor NFn, for calculating physical exercise and the habits and customs factor evaluation module (105) of the point of physical exercise and habits and customs factor FLFn, with the physical risk factor evaluation module (106) of the point for calculating physical risk factor R Fn, described main control module (102) is at the point of described nutrition intake factor NFn, the basis of the point of physical exercise and habits and customs factor FLFn and the point of physical risk factor R Fn calculates health index, described health index is exported by output module.
2. system according to claim 1, is characterized in that: described system also comprises right assessment device, and health index can add assessment weight and calculate, and right assessment device comprises the weighing factor (HIW for each nutrition intake factor nF1..., HIW nFn), the weighing factor (HIW of each physical exercise and the habits and customs factor fLF1..., HIW fLFn), the weighing factor (HIW of each physical risk factor rF1..., HIW rFn), nutrition intake factor evaluation module (104), physical exercise and habits and customs factor evaluation module (105), physical risk factor evaluation module (106) are based on the weighing factor (HIW of above-mentioned each nutrition intake factor nF1..., HIW nFn), the weighing factor (HIW of above-mentioned each physical exercise and the habits and customs factor fLF1..., HIW fLFn) and the weighing factor (HIW of above-mentioned each physical risk factor rF1..., HIW rFn) calculate nutrition intake point respectively, physical exercise and habits and customs point, and physical risk point.
3. system according to claim 1, is characterized in that: described load module is the input of intelligent terminal; Described output module is display translation or voice output; The described system for healthy comprehensive assessment comprise based on internet palm PC, notebook computer, desktop computer or smart mobile phone; Or comprise independent palm PC, notebook computer, desktop computer or smart mobile phone not connected to the network.
4. follow according to system according to claim 1, it is characterized in that: described system also comprises Chinese food component list database (107) and United States Department of Agriculture's National Nutrient Database (108), described nutrition intake factor evaluation module (104) is connected with described Chinese food component list database (107) and United States Department of Agriculture's National Nutrient Database (108).
5. follow according to system according to claim 1, it is characterized in that: described health index by main control module by comprising nutrition intake point, physical exercise and habits and customs point, the arithmetic function of physical risk point calculates.
6. system according to claim 1, it is characterized in that, described health index is by health index functional analysis module (100), is calculated by the arithmetic function of nutrition intake point, physical exercise and habits and customs point, physical risk point.
7. system according to claim 1, is characterized in that, described in module (104), nutrition intake point is by following, but is not limited to, and nutrition intake factor quantification parameter calculates and assessment gained,
1) every day caloric intake or caloric intake per week (NF1),
2) every day fat intake or fat intake per week, comprise the intake (NF2) of saturated fat and trans fats,
3) every day cholesterol intake or the intake (NF3) of cholesterol per week,
4) every day sodium intake or the intake (NF4) of sodium per week,
5) every day carbohydrates intake or the intake (NF5) of carbohydrates per week,
6) every day dietary fiber intake or the intake (NF6) of dietary fiber per week,
7) every day protein intake or the intake (NF7) of protein per week.
8. system according to claim 7, nutrition intake point described in module (104) is that the arithmetic function be made up of described quantization parameter calculates.
9. system according to claim 1, is characterized in that, described in module (105), physical exercise and habits and customs point are by following, but are not limited to, and physical exercise and habits and customs factor quantification parameter calculate and assessment gained,
1) every day exercise event and time or exercise event per week and time (FLF1).
2) every day alcohol intake or the intake (FLF2) of alcohol per week,
3) every day cigarette intake or the intake (FLF3) of cigarette per week,
4) every day sleep quality or sleep quality per week, comprise sleep every day hourage or average hourage every day (FLF4) per week,
5) pressure index assessment, comprises Huo Musi and La He Stress appraisal (Holmes and RaheStress Scale) (FLF5),
6) pressure eliminates custom (FLF6).
10. system according to claim 9, is characterized in that, physical exercise and habits and customs point described in module (105) are that the arithmetic function be made up of described quantization parameter calculates.
11. systems according to claim 1, is characterized in that, described in module (106), physical risk point is by following, but is not limited to, and physical risk factor quantification parameter calculates and assessment gained,
1) systolic pressure (RF1),
2) diastolic pressure (RF2),
3) resting heart rate (RF3),
4) body fat composition or waist-to-hipratio (RF4),
5) urine ph values (RF5),
6) vital capacity (RF6),
7) blood sugar (RF7),
8) total blood triglyceride (TG) (RF8),
9) blood T-CHOL (TC) (RF9), comprises LDL-C (LDL) (RF9.1).
12. systems according to claim 11, is characterized in that, physical risk point described in module (106) is that the arithmetic function be made up of described physical risk factor quantification parameter calculates.
13. systems according to claim 9, it is characterized in that, every day described in module (105) exercise event and time or exercise event per week and time FLF1 be with movable equivalent (MET-MIN) for unit, the summation of the time product continued by every day or each exercise event per week and this exercise event draws.
14. systems according to claim 7, is characterized in that, the standard value computing formula of module (104) caloric intake middle every day or caloric intake per week (NF1) is as follows,
the male sex
EER=(662-(9.53*Age))+PA*((15.91*wt)+(539.6*ht)+NCB
Wherein
EER is the estimated value (Estimated Energy Requirement) of energy requirement every day,
Age is the age,
PA=1,
Wt is body weight (unit, kilogram),
Age is the age,
Ht is height (unit, rice),
NCB Shi Net energy consumption (Net Calories Burned),
NCB=((MET1-1)*3.5*wt/200)*TPA1+…+((METn-1)*3.5*wt/200)*TPAn
Wherein
METn is metabolic equivalent (Metabolic Equivalent),
Wt is body weight (unit, kilogram),
TPAn is each movable time (total time of physical activity).
women
EER=(354-(6.91*Age))+PA*((9.36*wt)+(726*ht)+NCB
NCB=((MET1-1) * 3.5*wt/200) * TPA1+ ... the implication of+((METn-1) * 3.5*wt/200) each english abbreviation of * TPAn is the same.
15. systems according to claim 6,7,9 or 11, it is characterized in that, for " 20 – 180 " point assessment that each point described and described health index are made, 100 is normal value, and 20 is worst-case value, and 180 is theoretical optimal value, 20 – 100 are lower than normal average value, need to improve, 100 – 180, for exceeding normal average value, need to continue to keep.
Assess the method for health risk by calculating health index for 16. 1 kinds, the method comprises the following steps:
A) personal information, individual activity information, nutrition intake factor information, physical exercise and habits and customs factor information and physical risk factor information is inputted,
B) nutrition intake point is calculated, physical exercise and habits and customs point, and physical risk point,
C) health index is calculated.
17. methods according to claim 16, is characterized in that, described health index be by comprising nutrition intake point, physical exercise and habits and customs point, the arithmetic function of physical risk point calculates.
18. methods according to claim 16, are further characterized in that, described health index is calculated by the method adding right assessment, and right assessment device comprises for each nutrition intake Effects of Factors weight (HIW nF1..., HIW nFn), each physical exercise and habits and customs Effects of Factors weight (HIW fLF1..., HIW fLFn), each physical risk Effects of Factors weight (HIW rF1..., HIW rFn).
19. methods according to claim 16, is characterized in that, described nutrition intake point is by following, but is not limited to, and nutrition intake factor quantification parameter calculates and assessment gained,
1) every day caloric intake or caloric intake per week (NF1),
2) every day fat intake or fat intake per week, comprise the intake (NF2) of saturated fat and trans fats,
3) every day cholesterol intake or the intake (NF3) of cholesterol per week,
4) every day sodium intake or the intake (NF4) of sodium per week,
5) every day carbohydrates intake or the intake (NF5) of carbohydrates per week,
6) every day dietary fiber intake or the intake (NF6) of dietary fiber per week,
7) every day protein intake or the intake (NF7) of protein per week.
20. methods according to claim 19, described nutrition intake point is that the arithmetic function be made up of described quantization parameter calculates.
21. methods according to claim 16, is characterized in that, described physical exercise and habits and customs point are by following, but are not limited to, and physical exercise and habits and customs factor quantification parameter calculate and assessment gained,
1) every day exercise event and time or exercise event per week and time (FLF1).
2) every day alcohol intake or the intake (FLF2) of alcohol per week,
3) every day cigarette intake or the intake (FLF3) of cigarette per week,
4) every day sleep quality or sleep quality per week, comprise sleep every day hourage or average hourage every day (FLF4) per week,
5) pressure index assessment, comprises Huo Musi and La He Stress appraisal (Holmes and RaheStress Scale) (FLF5),
6) pressure eliminates custom (FLF6).
22. methods according to claim 21, is characterized in that, described physical exercise and habits and customs point are that the arithmetic function be made up of described quantization parameter calculates.
23. methods according to claim 16, is characterized in that, described physical risk point is by following, but is not limited to, and physical risk factor quantification parameter calculates and assessment gained,
1) systolic pressure (RF1),
2) diastolic pressure (RF2),
3) resting heart rate (RF3),
4) body fat composition or waist-to-hipratio (RF4),
5) urine ph values (RF5),
6) vital capacity (RF6),
7) blood sugar (RF7),
8) total blood triglyceride (TG) (RF8),
9) blood T-CHOL (TC) (RF9), comprises LDL-C (LDL) (RF9.1).
24. methods according to claim 23, is characterized in that, described physical risk point is that the arithmetic function be made up of described physical risk factor quantification parameter calculates.
25. methods according to claim 21, it is characterized in that, described every day exercise event and time or exercise event per week and time FLF1 be with movable equivalent (MET-MIN) for unit, the summation of the time product continued by every day or each exercise event per week and this exercise event draws.
26. methods according to claim 19, is characterized in that, every day caloric intake or the standard value computing formula of caloric intake per week (NF1) as follows,
the male sex
EER=(662-(9.53*Age))+PA*((15.91*wt)+(539.6*ht)+NCB
Wherein
EER is the estimated value (Estimated Energy Requirement) of energy requirement every day,
Age is the age,
PA=1,
Wt is body weight (unit, kilogram),
Age is the age,
Ht is height (unit, rice),
NCB Shi Net energy consumption (Net Calories Burned),
NCB=((MET1-1)*3.5*wt/200)*TPA1+…+((METn-1)*3.5*wt/200)*TPAn
Wherein
METn is metabolic equivalent (Metabolic Equivalent),
Wt is body weight (unit, kilogram),
TPAn is each movable time (total time of physical activity).
women
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 implication of each english abbreviation is the same.
27. methods according to claim 17,19,21 or 23, it is characterized in that, for " 20 – 180 " point assessment that each point described and described health index item are made, wherein 100 is normal value, and 20 is worst-case value, and 180 is theoretical optimal value, 20 – 100 are lower than normal average value, need to improve, 100 – 180, for exceeding normal average value, need to continue to keep.
CN201310513621.5A 2013-10-27 2013-10-27 System and method used for health comprehensive assessment Pending CN104850725A (en)

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