离散二水平模型探讨代谢综合征血脂高密度脂蛋白胆固醇异常的影响因素  

Investigation of major risk factors for low concentration of HDL-C with binomial logistic model

作　　者：刘韫宁[1] 郭秀花[1] 张普洪[2] 王虹[1] 王玮[1] 刘颖颖[1] 刘娟[1] 

机构地区：[1]首都医科大学公共卫生与家庭医学学院,北京100069 [2]中国疾病预防控制中心慢病社区处

出　　处：《中国预防医学杂志》2010年第2期175-177,共3页Chinese Preventive Medicine

摘　　要：目的探讨代谢综合征中血脂高密度脂蛋白胆固醇(HDL-C)异常组分的影响因素。方法针对2005年北京市18岁以上的常住居民,采用等比例多阶段整群随机抽样的方法确定监测样本,选用居民和社区两个水平拟合离散二水平模型,从而对代谢综合征中血脂HDL-C异常组分的影响因素进行探讨。结果影响血脂HDL-C异常的主要因素包括:性别、年龄、文化程度、职业、吸烟、饮酒、中心型肥胖、蛋白摄入和食用油摄入。结论本研究结果表明,采用离散二水平模型可以更深入地探究代谢综合征血脂HDL-C异常组分的影响因素。Objective To investigate the major risk factors for low concentration of HDL-C in patients with metabolic syndrome.Methods A total of 16 000 local residents were randomly sampled by a multistage clustering method in 2005.All participants had been living in Beijing for more than 18 years.A multilevel binomial logistic regression model was used to explore the risk factors for low concentration of HDL-C in patients with metabolic syndrome.Results The model suggested that the associated factors for low concentration of HDL-C should include gender,age,educational levels,occupation,drinking,central obesity,protein and oil intakes.Conclusion The multilevel binomial logistic regression model was helpful in exploring the major risk factors for low concentration of HLD-C in patients with metabolic syndrome.

关 键 词：代谢综合征 血脂异常 离散二水平模型 影响因素 

分 类 号：R589[医药卫生—内分泌]