Multilevel model of risk factors on two week prevalence of Chongqing city residents over 15
- VernacularTitle: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
- Author:
Guoyu LIAO
- Publication Type:Journal Article
- Keywords:
City resident;
Two weeks prevalence;
Risk factor;
Bi-level logistic regression model
- From:
Journal of Chongqing Medical University
2007;0(08):-
- CountryChina
- Language:Chinese
-
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.
