首都医科大学学报 ›› 2009, Vol. 30 ›› Issue (4): 530-533.doi: 10.3785/j.issn.1006-7795.2009.04.026

• 临床研究 • 上一篇    下一篇

探讨代谢综合征中血压组分异常的影响因素

宋青1, 刘韫宁2, 郭秀花2, 王玮2, 闫宇翔2, 杨兴华2, 张普洪3   

  1. 1. 北京市宣武区妇幼保健院职能科;2. 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;3. 中国疾病预防控制中心慢性病防治与社区卫生处
  • 收稿日期:2009-04-22 修回日期:1900-01-01 出版日期:2009-08-21 发布日期:2009-08-21
  • 通讯作者: 张普洪

Major Risk Factors for Hypertension as a Component of Metabolic Syndrome

SONG Qing1, LIU Yun-ning2, GUO Xiu-hua2, WANG Wei2, YAN Yu-xiang2, YANG Xing-hua2, ZHANG Pu-hong3   

  1. 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
  • Received:2009-04-22 Revised:1900-01-01 Online:2009-08-21 Published:2009-08-21

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

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.

Key words: metabolic syndrome, hypertension, multilevel binomial logistic model, risk factors

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