CN106066939A - Health behavior evaluation methodology and system - Google Patents
Health behavior evaluation methodology and system Download PDFInfo
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- CN106066939A CN106066939A CN201610391218.3A CN201610391218A CN106066939A CN 106066939 A CN106066939 A CN 106066939A CN 201610391218 A CN201610391218 A CN 201610391218A CN 106066939 A CN106066939 A CN 106066939A
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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
Abstract
The invention discloses a kind of health behavior evaluation methodology and system, the method includes: obtaining health behavior index assessment data, health behavior index assessment data include: the frequency data relevant to health behavior frequency；According to the health behavior index assessment data obtained, calculate health behavior index, and obtain corresponding health behavior guiding according to health behavior index；Display health behavior index also provides the user with corresponding health behavior guiding.The present invention is by carrying out comprehensive evaluation to different user health behavior, and available more targeted health behavior guides, thus promotes that user sets up the Behavior and life style of health.
Description
Technical field
The present invention relates to electronic product and health field, it particularly relates to a kind of health behavior evaluation methodology and system.
Background technology
Health education and health promotion is classified as the first-selected strategy improving population health situation by World Health Organization (WHO) (WHO).
Way of act and life style occur with disease, development close relation, and health is important as you know, and tentatively understands
" health behavior " is to healthy importance, but still has a lot of people to cannot be carried out the management of effective ego behavior, form health
Dietary habit, ensure sufficient physical exertion etc..Health intervention low cost and effect are obvious targetedly, therefore take to amass
The health promotion measure of pole, the Health correlated behavior of improvement crowd, increasingly paid close attention to by people.
The study general by inquiry questionnaire the most relevant to population health carries out the collection of user profile, research conclusion master
If drawing for a certain specific target group, and study that more focus on is the analysis to result, rather than for health
The change of behavior.
More existing mobile terminal health control application is concentrated mainly in health education or health service, it is provided that such as
Health information, healthy encyclopaedia etc. are for improving the information of health literacy, or provide such as health self-test, health consultation, reservation
The Medical service such as register.Existing mobile terminal health control application i.e. allows to guide user to participate in health promotion class activity,
Such as participate in more physical sport, but the health behavior of user is guided often by these mobile terminal health controls application
The most targetedly, it is one-sidedness and stage.
Mobile terminal application in the market, not for overall merit and the scoring of individual consumer's health behavior, does not has
There is the health behavior being collected user by multiple channel or approach, and do not have to carry out for the feature of individual consumer's health behavior
Behavioral guidance and health promotion.
Can not be evaluated for different user health behavior in correlation technique targetedly and provide respective behavior
The problem guided, the most not yet proposes effective solution.
Summary of the invention
Can not be evaluated for different user health behavior in correlation technique targetedly and provide respective behavior
The problem guided, the present invention proposes a kind of health behavior evaluation methodology and system, it is possible to be user health behavior targetedly
Carry out overall merit and provide corresponding behavioral guidance, thus promoting that user sets up the Behavior and life style of health.
The technical scheme is that and be achieved in that: according to an aspect of the invention, it is provided a kind of health behavior
Evaluation methodology.
This health behavior evaluation methodology includes: obtain health behavior index assessment data, health behavior index assessment data
Including: the frequency data relevant to health behavior frequency；According to the health behavior index assessment data obtained, calculate health
Activity Index, and obtain corresponding health behavior guiding according to health behavior index；Display health behavior index also carries to user
Guide for corresponding health behavior.
Preferably, carry out dividing to include by health behavior index assessment data: physical exertion, nutrition, health responsibility, the heart
Reason health.
Preferably, calculate health behavior index to include: physical exertion, nutrition, health responsibility, mental health are respectively first
Weighted term, the second weighted term, the 3rd weighted term and the 4th weighted term, the first weighted term, the second weighted term, the 3rd weighted term and
The algebraical sum of the weight of the 4th weighted term is 100%；By the first weighted term, the second weighted term, the 3rd weighted term and the 4th weighting
Item is weighted and obtains health behavior index.
Preferably, frequency data include: the frequency data of physical exertion, the frequency data of nutrition, the frequency of health responsibility
The frequency data of data and mental health.
Preferably, health behavior index assessment data also include: numeric data, and numeric data includes the numerical value of physical exertion
Data, the numeric data of nutrition, the numeric data of health responsibility and the numeric data of mental health.
Preferably, it is weighted by the numeric data of physical exertion and the frequency data of physical exertion and obtains
The score of one weighted term；It is weighted obtains the second weighted term by the numeric data of nutrition and the frequency data of nutrition
Score；It is weighted obtains the 3rd weighted term by the numeric data of health responsibility and the frequency data of health responsibility
Score；It is weighted obtains the 4th weighted term by the numeric data of mental health and the frequency data of mental health
Score.
Preferably, calculate health behavior index and also include: the numeric data of acquisition was compared with its normal range, with
Obtain the score of health indicator；Frequency data according to obtaining obtain corresponding health behavior score.
Preferably, also include: judge whether each health behavior index assessment data obtained are valid data, if effectively
Data then carry out the calculating of health behavior index.
Preferably, also include: according to the feature of different user, to the first weighted term, the second weighted term, the 3rd weighted term,
It is adjusted with the weight of the 4th weighted term.
Preferably, the frequency data of physical exertion include: to the relevant number of the frequency browsing physical exertion information, consulting
According to；The frequency data of nutrition include: to the relevant data of the frequency browsing nutrition information, consulting；The frequency data of health responsibility
Including: to the relevant data of the frequency browsing health responsibility information, consulting；The frequency data of mental health include: with browse the heart
The data that reason health information, the frequency of consulting are correlated with.
Preferably, numeric data includes: BMI, blood pressure, blood glucose, body weight, heart rate, Relationship of Walking every day and duration of sleeping every day
Data.
According to another aspect of the present invention, it is provided that system is evaluated in a kind of health behavior.
This health behavior is evaluated system and is included: data acquisition module, is used for obtaining health behavior index assessment data, healthy
Activity Index evaluating data includes: the frequency data relevant to health behavior frequency；Data analysis module, for according to obtaining
The health behavior index assessment data taken, calculate health behavior index, and obtain corresponding healthy row according to health behavior index
For guiding；Display module, is used for showing that health behavior index and corresponding health behavior guide.
Preferably, this data acquisition module is the mobile terminal including smart mobile phone, notebook computer and panel computer.
Preferably, also include: the multiple hardware being connected with described mobile terminal, described strong for obtaining and automatically uploading
Health Activity Index evaluating data.
Preferably, also include: warning module, for any one when health behavior index assessment data beyond normal range
Time, provide healthy early warning prompting.
Preferably, data analysis module farther includes: judge module, is used for judging that health behavior index assessment data are
No for valid data；Computing module, for being calculated health behavior index according to effective health behavior index assessment data；
Output module, guides for providing corresponding health behavior according to health behavior index.
The present invention is by obtaining health behavior index assessment data, and these health behavior index assessment data include and healthy row
For the frequency data that frequency is relevant；Calculate health behavior index, and obtain corresponding healthy row according to health behavior index
For guiding；Display health behavior index also provides corresponding health behavior to guide to different user.By the technical side of the present invention
Case, available more targeted health behavior guides, thus promotes that user sets up the Behavior and life style of health.
Accompanying drawing explanation
In order to be illustrated more clearly that the embodiment of the present invention or technical scheme of the prior art, below will be to institute in embodiment
The accompanying drawing used is needed to be briefly described, it should be apparent that, the accompanying drawing in describing below is only some enforcements of the present invention
Example, for those of ordinary skill in the art, on the premise of not paying creative work, it is also possible to obtains according to these accompanying drawings
Obtain other accompanying drawing.
Fig. 1 is the flow chart of the health behavior evaluation methodology of metadata according to embodiments of the present invention；
Fig. 2 is the block diagram that system is evaluated in health behavior according to embodiments of the present invention.
Detailed description of the invention
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clear, complete
Describe, it is clear that described embodiment is only a part of embodiment of the present invention rather than whole embodiments wholely.Based on
Embodiment in the present invention, the every other embodiment that those of ordinary skill in the art are obtained, broadly fall into present invention protection
Scope.
According to embodiments of the invention, it is provided that a kind of health behavior evaluation methodology.
As it is shown in figure 1, health behavior evaluation methodology according to embodiments of the present invention includes:
Step S101, obtains health behavior index assessment data, and health behavior index assessment data include: with health behavior
The frequency data that frequency is relevant；
Step S103, according to the health behavior index assessment data obtained, calculates health behavior index, and according to healthy row
Obtain corresponding health behavior for index to guide；
Step S105, display health behavior index also provides the user with corresponding health behavior guiding.
Below in conjunction with a specific embodiment, the technique scheme of the present invention is described in detail.
Obtain the health behavior index assessment data including numeric data and frequency data.By health behavior index assessment
Data carry out dividing to include: physical exertion, nutrition, health responsibility and mental health.Wherein it should be noted that health is blamed
Appoint and refer to note oneself and the body abnormality situation of relatives, actively accept health education, seek expert opinion and go to pursue health.
Preferably, numeric data includes: the numeric data of physical exertion, the numeric data of nutrition, the numerical value of health responsibility
Data and the numeric data of mental health；Frequency data include: the frequency data of physical exertion, the frequency data of nutrition, health
The frequency data of responsibility and the frequency data of mental health.
Preferably, the numeric data of physical exertion includes the assessment data of the health data of physical exertion, physical exertion；Battalion
The numeric data supported includes the assessment data of the health data of nutrition, nutrition；The numeric data of health responsibility includes health responsibility
Health data, the assessment data of health responsibility；The numeric data of mental health includes that the health data of mental health, psychology are strong
The assessment data of health.Need it is further noted that the assessment data of physical exertion, the assessment data of nutrition, health responsibility
Assessment data, the assessment data of mental health refer to respectively corresponding physical exertion relevant, nutritionally relevant, health responsibility relevant
, the behavior analysis result that mental health is relevant and relative numeric data.
Preferably, the health data of physical exertion, the health data of nutrition, the health data of health responsibility, mental health
Health data be that duration etc. of sleeping such as blood pressure, blood glucose, body weight, heart rate, Relationship of Walking every day, every day can pass through the direct table of numerical value
The health data levied, the acquisition of these health datas can be obtained or by being manually entered acquisition by the monitoring of expanding external hardware.
Preferably, the frequency data of physical exertion include that the health of physical exertion uploads frequency data, the commenting of physical exertion
Estimate the application behavior frequency data of frequency data, physical exertion；The frequency data of nutrition include that the health of nutrition uploads frequency number
According to, the assessment frequency data of nutrition, the application behavior frequency data of nutrition；The frequency data of health responsibility include health responsibility
Health uploads the application behavior frequency data of frequency data, the assessment frequency data of health responsibility, health responsibility；Mental health
Frequency data include that the health of mental health uploads frequency data, the assessment frequency data of mental health, the application of mental health
Behavior frequency data.Need it is further noted that physical exertion application behavior frequency data, the application behavior frequency of nutrition
Data, the application behavior frequency data of health responsibility, the application behavior frequency data of mental health refer to corresponding muscular labor respectively
The frequency data of corelation behaviour in the application of dynamic relevant, nutritionally relevant, that health responsibility is relevant, mental health.
The explanation of value, the health of physical exertion uploads frequency data, the health of nutrition uploads frequency data, healthy duty
The health appointed uploads frequency data, the health of mental health is uploaded frequency data and corresponded to the healthy number of physical exertion respectively
According to, the data uploading the frequency of the health data of the health data of the health data of nutrition, health responsibility, mental health；Muscle power
Movable application behavior frequency data, the application behavior frequency data of health responsibility, the psychology of applying behavior frequency data, nutrition
Healthy applies behavior frequency data according to user respectively in physical exertion, nutrition, health responsibility, mental health application
Behavior, path, the data obtained after being analyzed, such as the contents such as health information, health consultation, emotional affection concern are browsed frequency
Secondary.
Judge whether each health behavior index assessment data obtained are valid data, if valid data then carry out health
The calculating of Activity Index.
Health behavior exponentiation algorithm is described as follows:
1) the effective health behavior index assessment data obtained are evaluated, obtain corresponding score；
Table 1
Concrete, as shown in table 1, for the health data of physical exertion, the health data of nutrition, the health of health responsibility
Data, the health data of mental health, respectively according to determining corresponding score A the normal range of its relevant parameter1、A6、A11、
A16。
Data, the assessment data of nutrition, the assessment data of health responsibility, Mental health evaluation are assessed for physical exertion
Data, determine corresponding score A according to its corresponding health evaluating result respectively2、A7、A12、A17。
Upload frequency data for the health of physical exertion, the health of nutrition uploads the health of frequency data, health responsibility
Upload frequency data, the health of mental health uploads frequency data, uploads the frequency respectively according to it accordingly and determines corresponding
Score A3、A8、A13、A18。
For physical exertion assess frequency data, the assessment frequency data of nutrition, the assessment frequency data of health responsibility,
The assessment frequency data of mental health, assess the frequency respectively accordingly and determine corresponding score A according to it4、A9、A14、A19。
For physical exertion application behavior frequency data, application behavior frequency data, the application of health responsibility of nutrition
Behavior frequency data, the application behavior frequency data of mental health, browse healthy related content according to user in application
The analysis in the behavior such as the frequency and time path, determines its corresponding score A respectively5、A10、A15、A20。
2) physical exertion, nutrition, health responsibility, mental health are respectively the first weighted term, the second weighted term, the 3rd weighting
Item and the 4th weighted term, according to user's feature, to the first weighted term, the second weighted term, the 3rd weighted term and the 4th weighted term
Corresponding weight W%, X%, Y%, Z% are adjusted.
Score and the weight of effective health behavior index assessment data are as shown in table 1:
The weight of the first weighted term, the second weighted term, the 3rd weighted term and the 4th weighted term be respectively W%, X%, Y%,
Z%, and W%+X%+Y%+Z%=100%.
It is weighted obtains the first weighting by the numeric data of physical exertion and the frequency data of physical exertion
The score of item；It is weighted by the numeric data of nutrition and the frequency data of nutrition and obtains obtaining of the second weighted term
Point；It is weighted by the numeric data of health responsibility and the frequency data of health responsibility and obtains obtaining of the 3rd weighted term
Point；It is weighted by the numeric data of mental health and the frequency data of mental health and obtains obtaining of the 4th weighted term
Point.
It is weighted is good for by the first weighted term, the second weighted term, the 3rd weighted term and the 4th weighted term
Health Activity Index.The computing formula of health behavior index C is:
Obtain corresponding health behavior according to health behavior index to guide.Finally show health behavior index and carry to user
Guide for corresponding health behavior.
Preferably, numeric data includes: BMI, blood pressure, blood glucose, body weight, heart rate, Relationship of Walking every day and duration of sleeping every day
Data.
According to embodiments of the invention, additionally provide a kind of health behavior and evaluate system.
Include as in figure 2 it is shown, system is evaluated in health behavior according to embodiments of the present invention:
Data acquisition module 21, is used for obtaining health behavior index assessment data, and health behavior index assessment data include:
The frequency data relevant to health behavior frequency；
Data analysis module 22, for according to the health behavior index assessment data obtained, calculates health behavior index, and
Obtain corresponding health behavior according to health behavior index to guide；
Display module 23, is used for showing that health behavior index and corresponding health behavior guide.
Preferably, data acquisition module 21 is mobile terminal, and this mobile terminal includes: smart mobile phone, notebook computer and
Panel computer.
Preferably, farther include: warning module, for any one when health behavior index assessment data beyond normal
During scope, provide healthy early warning prompting.
Preferably, data analysis module 22 farther includes: judge module, is used for judging health behavior index assessment data
Whether it is valid data；Computing module, refers to for being calculated health behavior according to effective health behavior index assessment data
Number；Output module, guides for providing corresponding health behavior according to health behavior index.
Data analysis module 22 can be realized by should be used on mobile terminal.Application on mobile terminal can be additionally used in storage
The health behavior index that user is conventional so that health control process realizes visualized.
Preferably, farther include: multiple hardware that mobile terminal is connected, for obtaining and automatically uploading described health
Activity Index evaluating data.Mobile terminal by external multiple hardware, to the motion of user, sleep, body temperature, heart rate, blood pressure,
The data such as blood glucose carry out obtaining and Macro or mass analysis, and application data being uploaded on mobile terminal, it is possible to reduce and be manually entered
Data produce the probability of mistake.
By mobile terminal from health indicator and upload the frequency, health and fitness information assess and upload the frequency, application in use
The aspects such as family behavior path analysis obtain health behavior index assessment data, can realize the health data to user's every day, behavior
Carry out comprehensive, comprehensive analytic statistics, it is possible to finding the data variation of user and behavior change and be follow-up much sooner
Healthy guiding and health control provide data supporting.By to client provide health behavior index and targetedly health draw
Lead so that user understands whether self behavior is good for one's health clearly, strengthen people and set up the initiative of healthy Lifestyle.
In sum, by means of the technique scheme of the present invention, by obtaining the health behavior index assessment number of user
According to, these health behavior index assessment data include the frequency data relevant to health behavior frequency, thus achieve to
Family health behavior carries out comprehensive evaluation.In the inventive solutions, weighting method is utilized to calculate health behavior index can
Behavioral characteristic according to different user adjusts the weight of each weighted term, thus can get more targeted health behavior and guides,
Thus promote that user sets up the Behavior and life style of health.
The foregoing is only presently preferred embodiments of the present invention, not in order to limit the present invention, all essences in the present invention
Within god and principle, any modification, equivalent substitution and improvement etc. made, should be included within the scope of the present invention.
Claims (16)
1. a health behavior evaluation methodology, it is characterised in that including:
Obtaining health behavior index assessment data, described health behavior index assessment data include: with health behavior frequency
Relevant frequency data；
Health behavior index assessment data according to described acquisition, calculate health behavior index, and refer to according to described health behavior
Number obtains corresponding health behavior and guides；
Show described health behavior index and provide the user with corresponding health behavior guiding.
Health behavior evaluation methodology the most according to claim 1, it is characterised in that by described health behavior index assessment number
Divide to include according to carrying out:
Physical exertion, nutrition, health responsibility, mental health.
3. the health behavior evaluation methodology stated according to claim 2, it is characterised in that calculate health behavior index and include:
Described physical exertion, described nutrition, described health responsibility, described mental health are respectively the first weighted term, the second weighting
Item, the 3rd weighted term and the 4th weighted term, described first weighted term, described second weighted term, described 3rd weighted term and institute
The algebraical sum of the weight stating the 4th weighted term is 100%；
It is weighted by the first weighted term, the second weighted term, the 3rd weighted term and the 4th weighted term and obtains described healthy row
For index.
Health behavior evaluation methodology the most according to claim 3, it is characterised in that described frequency data include: muscular labor
Dynamic frequency data, the frequency data of nutrition, the frequency data of health responsibility and the frequency data of mental health.
Health behavior evaluation methodology the most according to claim 4, it is characterised in that described health behavior index assessment data
Also include:
Numeric data, described numeric data includes the numeric data of physical exertion, the numeric data of nutrition, the numerical value of health responsibility
Data and the numeric data of mental health.
Health behavior evaluation methodology the most according to claim 5, it is characterised in that
It is weighted by the numeric data of described physical exertion and the frequency data of described physical exertion described in obtaining
The score of the first weighted term；
It is weighted by the numeric data of described nutrition and the frequency data of described nutrition and obtains described second weighting
The score of item；
It is weighted by the numeric data of described health responsibility and the frequency data of described health responsibility described in obtaining
The score of the 3rd weighted term；
It is weighted by the numeric data of described mental health and the frequency data of described mental health described in obtaining
The score of the 4th weighted term.
Health behavior evaluation methodology the most according to claim 5, it is characterised in that calculate health behavior index and also include:
The numeric data of acquisition was compared with its normal range, to obtain the score of health indicator；
Frequency data according to obtaining obtain corresponding health behavior score.
8. the health behavior evaluation methodology stated according to claim 1, it is characterised in that including:
Judge whether each health behavior index assessment data obtained are valid data, if valid data then carry out health behavior
The calculating of index.
9. the health behavior evaluation methodology stated according to claim 3, it is characterised in that according to the feature of different user, to described
The weight of the first weighted term, described second weighted term, described 3rd weighted term and described 4th weighted term is adjusted.
Health behavior evaluation methodology the most according to claim 4, it is characterised in that
The frequency data of described physical exertion include: to the relevant data of the frequency browsing physical exertion information, consulting；
The frequency data of described nutrition include: to the relevant data of the frequency browsing nutrition information, consulting；
The frequency data of described health responsibility include: to the relevant data of the frequency browsing health responsibility information, consulting；
The frequency data of described mental health include: to the relevant data of the frequency browsing mental health information, consulting.
11. health behavior evaluation methodologys according to claim 5, it is characterised in that described numeric data includes:
BMI, blood pressure, blood glucose, body weight, heart rate, Relationship of Walking every day and the data of duration of sleeping every day.
System is evaluated in 12. 1 kinds of health behaviors, it is characterised in that including:
Data acquisition module, is used for obtaining health behavior index assessment data, and described health behavior index assessment data include: with
The frequency data that health behavior frequency is relevant；
Data analysis module, for the health behavior index assessment data according to described acquisition, calculates health behavior index, and root
Obtain corresponding health behavior according to described health behavior index to guide；
Display module, is used for showing that described health behavior index and corresponding health behavior guide.
System is evaluated in 13. health behaviors according to claim 12, it is characterised in that described data acquisition module is for including
The mobile terminal of smart mobile phone, notebook computer and panel computer.
System is evaluated in 14. health behaviors according to claim 13, it is characterised in that also include: with described mobile terminal
The multiple hardware being connected, for obtaining and automatically uploading described health behavior index assessment data.
System is evaluated in 15. health behaviors according to claim 12, it is characterised in that also include:
Warning module, for when any one of health behavior index assessment data is beyond normal range, providing healthy early warning and carry
Show.
System is evaluated in 16. health behaviors according to claim 12, it is characterised in that described data analysis module includes:
Judge module, is used for judging whether described health behavior index assessment data are valid data；
Computing module, for being calculated described health behavior index according to described effective health behavior index assessment data；
Output module, guides for providing corresponding health behavior according to described health behavior index.
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Cited By (1)
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