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探讨代谢综合征中血压组分异常的影响因素
引用本文:宋青,刘韫宁,郭秀花,王玮,闫宇翔,杨兴华,张普洪. 探讨代谢综合征中血压组分异常的影响因素[J]. 首都医科大学学报, 2009, 30(4): 530-533. DOI: 10.3785/j.issn.1006-7795.2009.04.026
作者姓名:宋青  刘韫宁  郭秀花  王玮  闫宇翔  杨兴华  张普洪
作者单位:宋青(北京市宣武区妇幼保健院职能科);刘韫宁,郭秀花,王玮,闫宇翔,杨兴华(首都医科大学公共卫生与家庭医学学院流行病与卫生统计学系);张普洪(中国疾病预防控制中心慢性病防治与社区卫生处) 
摘    要:目的探讨代谢综合征中血压组分异常的影响因素。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两水平Logistic模型,从而对代谢综合征中血压组分异常的影响因素进行探讨。结果影响血压组分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、零食、食用油摄入量、食盐摄入量。结论采用两水平Logistic模型分析比传统的多元回归模型分析更准确。

关 键 词:代谢综合征  高血压  两水平Logistic模型  影响因素
收稿时间:2009-04-22

Major Risk Factors for Hypertension as a Component of Metabolic Syndrome
SONG Qing,LIU Yun-ning,GUO Xiu-hua,WANG Wei,YAN Yu-xiang,YANG Xing-hua,ZHANG Pu-hong. Major Risk Factors for Hypertension as a Component of Metabolic Syndrome[J]. Journal of Capital Medical University, 2009, 30(4): 530-533. DOI: 10.3785/j.issn.1006-7795.2009.04.026
Authors:SONG Qing  LIU Yun-ning  GUO Xiu-hua  WANG Wei  YAN Yu-xiang  YANG Xing-hua  ZHANG Pu-hong
Affiliation:1. Department of Function, Xuanwu Maternal and Child Health Care Hospital;2. Department of Epidemiology and Medical Statistics, School of Public Health and Family Medicine, Capital Medical University;3. Chronic Disease Prevention and Community Health Department, Chinese Center for Disease Control and Prevention
Abstract:Objective To investigate the major risk factors for hypertension as a component of metabolic syndrome in permanent residents in Beijing. Methods Randomized sampling was performed on permanent residents over 18 years of age who are from a multistage group in 2005 in Beijing. In this study there were 16 711 valid participants selected for the multilevel binomial logistic model. Results The major risk factors for hypertension of metabolic syndrome included gender, age, educational level, occupation, smoking, alcohol, central obesity, snacks, oil and salt intakes. People who were cigarette smokers, alcohol drinkers, male, at advanced age, and who have lower educational level, high pressure occupation, and central obesity, less snack food intake, more edible oil intake and more salt intake were more likely to have metabolic syndrome. When the other factors stayed still, the prevalence in men was higher than in women. Conclusion Multilevel binomial logistic models have higher accuracy than traditional multiple regression models in determining major risk factors for hypertension as a component of metabolic syndrome.
Keywords:metabolic syndrome  hypertension  multilevel binomial logistic model  risk factors
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