A Study Of The Government Employee Health Status And Their Influential Factors In A District Of Tianjin

Objective:In order to promote the developement of Tianjin medical insurance in a scientifical and orderly way, with support the proposal of the Tianjin Labor and Social Security Bureau, we carried out an investigation on the status of government employee health in a district of Tianjin. Based on the survey we have evaluated the health status of government employee, this study provided useful information on the guidelines of health mangment of government employee.Methods:Using questionnaire we carried out the inventory survey which include the government employee's common and high morbidity disease, the mental health status, the sub-health status, the meals, and the life style. We use health conditions as the result variable(the survey population is devided into health and non-healthy people by history of illness), the mental health status, the sub-health status and other related factors as reason variables, to analyze the factors of the health status we have carried out. Univariate analyse use rank sum test and chi-square test, Logistic regression model, and decision tree establish by SPSS13.0 and SAS8.2 to analyze and predict the influential factors that related to the health status.Results:The investigation shows that the top ten diseases among government employee are:hypertension (17.87%), high blood lipid (17.73%), fatty liver (15.89%), cervical and Lumbar disease (12.77%), high blood sugar(4.40%), cholecystitis (4.26%), coronary Heart Disease (3.69%), gastric ulcer(3.55%), bronchitis(2.13%), and gallstones(1.70%), respectively. The median score of sub-health status is 36.00, 45% of the individual had sub-health scores that lower than the average value. The median score of mental health is12.00,33% of the individual had mental health scores that higher than the average value. Multi-variable analysis disclosed that age(OR=1.077,95%CI:1.050-1.105), BMI(OR=2.146,95%C:1.531-3.009), smoking(OR=2.346,95%CI:1.485-3.707), passive smoking(OR=2.829,95%CI: 1.688-4.742), drinking(OR=2.298,95%CI:1.308-4.039), sleep time (OR=0.022, 95%CI:0.005-0.101), the situation on time for meal (OR=2.000,95%CI: 1.582-2.530), sport time(OR=0.675,95%CI:0.585-0.778), education (OR=1.386, 95%CI:1.123-1.709), marital status(OR=2.318,95%CI:1.118-4.808), squared sub-health scores(OR=0.998,95%CI:0.998-0.999), and squared mental health scores(OR=1.007,95%CI:1.002-1.198) were influential factors of the health status. The forecast accuracy of Logistic regression model was 78.8%, the area under the ROC curve was 0.8706(95%CI:0.8431-0.8982); decision tree analyze the influential factors related to the health status as follows:age, smoking, the situation on time for meal, mental health scores, BMI, sleep time, passive smoking, occupation, sport time, gender, education, sub-health scores, and drinking, The forecast accuracy of Decision tree was 80%, the area under the ROC curve was 0.8881(95%CI:0.8643-0.9119). Utilizing one hundred times ten stratified cross-validation, the area under the ROC curve of Logistic regression model was 0.8556(95%CI:0.8260-0.8851); the Decision tree was 0.8403(95%CI:0.8114-0.8691). In general, based on this data, the Logistic regression model had a better prediction effect than the decision tree model.Conclusion:The health conditions of government employee were far from ideal for some chronic diseases, the health management should be emphasized in those personnels in the future.