目的 了解天津市某区公务员健康状况的影响因素,为提高该人群的健康水平提供依据.方法 于2008年9 ～12月,采用整群抽样的方法对天津市某区公务员进行健康状况及影响因素的问卷调查.应用SAS 8.2 Enterprise Miner模块建立决策树模型和回归模型,对该区公务员人群的健康状况影响因素进行分析和预测.结果 该区公务员总体患病率为47.0％,模型筛检出影响健康状况的因素有:年龄、体质指数、吸烟、被动吸烟、饮酒、睡眠时间、按时吃饭情况、体育锻炼花费时间、文化程度、婚姻状况,亚健康分值、心理健康分值.将logistic回归模型与决策树模型进行预测性能的比较,ROC面积比较结果发现,两者差别无统计学意义(x2=1.6073,P=0.2049).结论 公务员人群健康状况不容乐观,各种慢性病患病率较高,是今后开展健康管理的重点群体.%Objective To comprehend the health status of government employee in a district of Tianjin, and to provide relative guidelines of health management for government employee. Methods A questionnaire survey was conducted within September to December,2008. All participants were included by cluster sampling. Decision tree model and logistic regression model was conducted using SAS8.2 Enterprise Miner to analyze and predict the influential factors of the health status. Results The total prevalence rate was 47. 0% .Multi-variable analysis disclosed that age, BMI, smoking, passive smoking, drinking, sleep time, regular diet, intensity of physical exercise,education,marital status,sub-health scores, and mental health scores were associated with the health status. Use roc curve to comparise prediction effect between logistic regression model and the decision tree model, The results declosed that their was no statistical signifi-rncance (χ2 = 1.6073, P = 0.2049). Conclusion The health status of government employee was far from ideal for some chronic diseases, the health management should be emphasized in those personals in the future.
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