摘要
目的探讨北京市成人代谢综合征的影响因素。方法 2005年8月至9月,采用多阶段等比例抽样方法 ,在北京市18个郊区县抽取18岁以上16711名常住居民,进行问卷调查、体格测量、血压测量和血生化检查,采用两水平logistic回归模型探讨代谢综合征的影响因素。结果影响代谢综合征的主要因素有:年龄、文化程度、职业、吸烟、体育锻炼、零食、食用油摄入、食盐摄入。结论采用两水平logistic回归模型比传统的logistic回归模型能够更好地分析具有层次性结构的现场调查资料。
Objective To investigate risk factors for metabolic syndrome.Methods 16711 permanent residents over 18 years from a multistage group randomized sampling in 2005 in Beijing were selected to perform two-level logistic model analysis to explorer risk factors for metabolic syndrome.Results The risk factors for metabolic syndrome induded age,educational level,occupation,smoking,exercise,snack foods,oil and salt intakes.Conclusion Two-level logistic model has higher accuracy than traditional multiple regression model when dealing with data with hierarchical structure.
出处
《中国卫生统计》
CSCD
北大核心
2010年第2期139-141,共3页
Chinese Journal of Health Statistics
