Research And Application Of Civil Service Physical Fitness Evaluation System Under Health Management Philosophy

ObjectivesA large number of studies have shown that the health condition of the civilservice is worrying and their physique is on a declining trend and in a typicalsub-health state, with the characteristics of “three-high and one-low” and overweight.As the civil service involves prosperity, thriving and stability of the state, study ontheir health condition admits of no delay. China’s national conditions such as the“4-2-1” problem caused by the family planning, heavy free medical care burden of thecivil service as well as the cure to prevention policy proposed in the “NationalOutlines for Medium and Long-term Planning for Scientific and TechnologicalDevelopment (2006-2020)” agree with the current trend of health managementphilosophy. Therefore, to build a physical health evaluation system applicable toChina’s civil service under the health management philosophy has important guidingand practical significance.If fuzzy mathematics membership is used to describe human health,“1”,“0” and“0~1” indicate health, disease and sub-health separately. As to the crowd with disease,conventional health promotion means can not solve their problems and they mainlyrelay on medical treatment; the sub-healthy crowd, accounting for75%of the total, isin a dynamic equilibrium state between health and disease, who is the main healthpromotion object, that is, the connotation of health promotion to human physicalhealth is to make the healthy crowd in “1” state and the sub-healthy crowd in the“0~1” state to maintain at or close to “1”. However, the current reality is that theconcept and diagnosis of “sub-health” is controversial and there is no recognizedconclusion. In view of this, the first objective of this study is to re-recognize theconnotation and denotation of sub-health based on function-specific homeostasistheory and health risk classification concept.There are two problems emerged in wide promotion and use of current nationalphysique evaluation standard:(1) difference in the top and bottom values of thecritical points of part indexes is not significant but difference in grade is significant,which do not tally with the fact, for example,139mmHg means normal blood pressure(top value) but141mmHg means high blood pressure;(2) the efficiency of the currentphysical health evaluation method in practice is not high, that is, most people onlycare for the test results rather than “reduction” of some indexes. For this reason, thesecond objective of this study is to explore a physical health evaluation methodsuitable to China’s civil service.As the physical health comprehensive evaluation results only indicate good or bad state, the objective of physique study shall not be limited to description of currentsituation and it is how to use the evaluation results to provide decision support tohealth promotion. The third objective of this study is how to use the physical healthevaluation results to provide decision support to health promotion for individuals andcrowds.At present, there are many web version physical evaluation systems on market,but most of them relay on input of data by users; as the data is not reliable and thesystem is of low level of intelligence, the evaluation results is questioned; theevaluation indexes use the equal weight basically; there are more software applicablefor children and few for special crowd such as the civil service; whether the foreignevaluation standard is suitable to China is debatable. In regard to this, this forthobjective of this study is to build a set of physical health evaluation system suitable tothe Chinese civil service according to expert system structure.Research MethodsLiterature data: Re-recognize the connotation and denotation of sub-health anddecide the risk grade classification critical points.Questionnaire survey: Built comparison and judgment matrix to decide theweight coefficients by asking10experts to fill out the questionnaire of1~9scales.Analytic hierarchy process: Decide the index weight coefficients.Mean shift algorithms: Layering the index weight to decide the index with highrisk to be listed separately in comprehensive evaluation and take it as the judgmentbasis for risk classification; realize ranking of physical health of individual in thecrowd.Fuzzy mathematical method: One of the core tools to build the comprehensiveevaluation model, decide individual and crowd physical health comprehensiveevaluation model.Software engineering method: Build the physical health evaluation system forChinese civil service by taking the expert system structure as the subject.Experimental method: Physical health test data of43male subjects with the ageof42.3±1.7and from A and B units is used to verify scientificity and validity of themodel and system built.Research resultsIt determines the connotation of physical health evaluation for civil service, thatis, evaluation of the sub-healthy crowd of the vast majority and provision of corresponding decision support based on the evaluation results in order to achieve thepurpose of health promotion; it makes the healthy crowd in “1” state and thesub-healthy crowd in the “0~1” state to maintain at or close to “1”.It defines the connotation and denotation of sub-health from a new angle andbased on the function-specific homeostasis theory and health risk classificationconcept through analysis of the past and current information on the sub-health.The analytic hierarchy process is used to determine various index weights, themean shift algorithms is used to layering the indexes and the indexes with “positive”shift are selected as judgment basis for comprehensive evaluation.Trapezoid model is used to build the membership function according to thephysical health characteristics. In individual evaluation, main factor deterministicmodel M (∧,∨) is chosen as the weight coefficient is introduced and the mainfactors are emphatically considered; in crowd evaluation, weight average model M(,+) is chosen as all factors shall be taken into account according to their weights.The maximum membership principle is the basis to judge the evaluation results. Thecivil service physical health comprehensive evaluation model is built and theexperimental test data is substituted in the model for verification. The results showthat the model agrees with the facts and is scientific and valid to some degree.China’s civil service physical health evaluation system is established by usingsoftware engineering method to build the knowledge base, the fact base, the rule baseand the inference engine according to the expert system structure.Research Conclusions(1) Individual and crowd physical health comprehensive evaluation models ofthe Chinese civil service were built and the physical health evaluation system wasconstructed and realized according to expert system structure. The evaluation systemevaluated body shape, function, quality and metabolism modules comprehensivelyaccording to the principle of taking the lowest value of the evaluation resultsaccording to fuzzy mathematics and from the indexes listed separately, whichimprove the evaluation efficiency.(2) Introduction of fuzzy mathematics is an effective way for comprehensiveevaluation of physical health, as there is no specific measurement to decide whetherthe physique of the human body is good or bad and the concepts such as “excellent”and “good” is ambiguous obviously; meanwhile, it solved the problem emerged inwide promotion and use of the past evaluation standard, that is, difference in the topand bottom values of the critical points of part indexes is not significant but difference in grade is significant, which do not tally with the fact.(3) It redefines the connotation and denotation of sub-health based on thefunction-specific homeostasis theory and health risk classification concept for the firsttime.(4) The mean shift algorithm is introduced in individual physical healthcomprehensive evaluation for the first time; mean shift is used to layering the weights,which provides scientific base for judgment of the final evaluation grade of individualphysical health; the value of the mean shift effectively ranks the individual in thecrowd.