Multilevel model of risk factors on two week prevalence of Chongqing city residents over 15

LIAO Guo-yu; et al

doi:10.13406/j.cnki.cyxb.2010.08.001

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Multilevel model of risk factors on two week prevalence of Chongqing city residents over 15

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- Multilevel model of risk factors on two week prevalence of Chongqing city residents over 15
- Journal of Chongqing Medical University Vol. 35, Issue 8, Pages: 1238-1241(2010)
- 作者机构：
  
  重庆医科大学公共卫生学院卫生统计教研室
- 作者简介：
- 基金信息：
- DOI：10.13406/j.cnki.cyxb.2010.08.001
  CLC： R195
- Published：2010，
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[1]廖国宇,周燕荣,钟晓妮.重庆15岁及以上城市居民2周患病影响因素的多水平模型[J].重庆医科大学学报,2010,35(08):1238-1241.

LIAO Guo-yu, et al. Multilevel model of risk factors on two week prevalence of Chongqing city residents over 15. [J]. Journal of Chongqing Medical University 35(8):1238-1241(2010)
[1]廖国宇,周燕荣,钟晓妮.重庆15岁及以上城市居民2周患病影响因素的多水平模型[J].重庆医科大学学报,2010,35(08):1238-1241. DOI： 10.13406/j.cnki.cyxb.2010.08.001.

LIAO Guo-yu, et al. Multilevel model of risk factors on two week prevalence of Chongqing city residents over 15. [J]. Journal of Chongqing Medical University 35(8):1238-1241(2010) DOI： 10.13406/j.cnki.cyxb.2010.08.001.

摘要

目的:探讨城市15岁及以上居民2周患病的影响因素

为政府决策提供理论依据

并为同类研究提供方法参考。方法:利用重庆市第4次国家卫生服务调查西部扩点数据资料

通过描述性分析和两水平Logistic回归模型探讨城市居民两周患病的影响因素。结果:重庆城市居民2周患病情况具有层次结构

在不同的街道间存在差异;年龄、婚姻、文化程度、医疗保险和经济状况均为研究对象两周患病的影响因素。结论:不应忽视街道环境对居民2周患病情况的影响

用多水平模型分析整群抽样的居民卫生服务调查资料可得到更多的信息。

Abstract

Objective:To explore risk factors on two weeks prevalence of chongqing city residents over 15

then to provide evidence for government decision-making and methodologic reference for similar research.Methods:Basing on western expending data of the fourth national health service survey in chongqing

risk factors of city residents’two weeks prevalence were sreened by desciptive analysis and bi-level logistic regression model.Results:Hierarchical structure was found in two weeks prevalence of chongqing city residents

and difference exist among different street.Age

marriage

education

medical insurance and ecomonic condition were risk factors of the study subjects.Conclusion:Street enviorment’s effect to resident’s two weeks prevalence should not be ignored.Analysizing resident’s health service survey data by cluster sampling with multilevel model

more information can be gained.

关键词

城市居民两周患病影响因素两水平Logistic回归模型

Keywords

City residentTwo weeks prevalencerisk factorBi-level logistic regression model

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