Evaluation Of The Intervention Effect Of Health Risk Factors Of Civil Servants In Beijing City

Objective To understand the results of the self-rating of government officials regardinghealth condition. Develop and evaluate the effect of an intervention plan to the healthconditon.Methods We enrolled government officials with age from18~60years, in Dongcheng,Xicheng, Chaoyang&Haidian District in Beijing, using stratified sampling method. Inorder to understand the health risk factors among this population, and performintervention study, questionnaire survey was conducted according to "Urban residents’health status self-rating scale in China" and "Occupational risk factors for populationhealth assessment questionnaire". A combination of group and individual-guidanceintervention was performed once per month during the12months lasting time length.Describe the self-rating health scale and its affecting factors pre-intervention. Comparethe results of pre-intervention self-rating health scale, health knowledge&behaviors,BMI&sub-health indexes to post-intervention. Find out the factors affect theintervention results, the mean measurement data, T-testing&variance analysis betweengroup comparison, count data rate calculation&unconditioned logistic regressionanalysis for multiple factors analysis.Results1Pre-intervention self-rating scale: the score of female is higher than male forevery dimensions, and the physical dimension difference is statistically significant; thehighest score appears to be the group of20~years old, the difference is statisticallysignificant between age groups for the social dimension; education is proportional to thescore, the difference between various education level is statistically significant; the scoreof divorced government officials is the lowest, un-married officials scores the highest;income difference among the physical dimension is statistically significant, the highincome scores the higher self-rating scale.2Post-intervention, the Self-rating HealthCondition Scores: female scores higher than male, but gender difference is notstatistically significant; the health scores of different ages are higher than pre-intervention,the difference between physiology factors is statistically significant; the score differenceof different education level is statistically significant; the scores of un-married officialsare still highest; the scores of physical and physiological sub-scale changes significantlyafter intervention among the low income group, the scores of social adaptabilitydifference are statistically significant.3The changes in the awareness of healthknowledge and health related behaviors: the awareness of health knowledge and related behaviors, regarding drinking hazard, oil intake amount, whether fruits be alternatives forvegetables, increases for the government officials (P>0.05). Smoking behavior, eatingfruits and vegetables more than twice weekly, unhealthy oil and salty diet, exercises overthree times per week, significantly changed after the intervention (P<0.05). The incidencerate of behaviors, such as being sedentary for more than6hours daily and drinking,shows no significant change after the intervention (P>0.05).4. The improvement in sub-health condition and weight issue is statistically significant (P>0.05).5. Calculate the totalscore of physical, psychological, and social adaptability before and after interventionbased on "Urban residents’ health status self-rating scale in China", the differencebetween pre-intervention and post-intervention is set to be dependant variable. Byfitting age, gender, education level, marriage status and income variable into MultivariateLogistic Regression Model, it reveals that gender and income are two influencing factorshave positive effect on the invention plan, self-rating health scores improved significantlyfor female and high income officials group.Conclusion1Pre-intervention health condition scores: The score of female officials ishigher than male, the highest score is the group with the age of20~years old; the highereducation level the better scores; un-married officials scored the higher than married ones;officials with higher incomes scored higher.2Post-intervention, age factor has positiveeffect on the scores of physical health condition; income level affects the health conditionduring the intervention. The awareness of health knowledge and behaviors improves; thesub-health and weight issue improved during intervention.3Gender and Income are twoinfluencing factors for improving the intervention results. Self-rating health conditionscores improve significantly for male and officials with relative higher income afterintervention.