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, 2010,35(8):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, 2010,35(8):1238-1241. DOI: 10.13406/j.cnki.cyxb.2010.08.001.
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