title: Hierarchical linear modelling of smoking prevalence and frequency in China between 1991 and 2004.
abstract: This study uses the hierarchical linear modelling (HLM) growth curve technique to explore predictors of the change in the prevalence and frequency of cigarette smoking in China between 1991 and 2004. Using nationally representative data, the study introduces a number of previously unanalysed variables at both the individual and the community level. The findings show that a number of factors are associated with the change in both the prevalence and frequency of smoking in China. In addition, there is a trend of decreasing prevalence of smoking in China after the effects of other covariates are adjusted. Finally, the free market cigarette price has an inconsistent relationship with the change in the prevalence and frequency of smoking, which further reveals the daunting task of tobacco control for public health scholars and policymakers in China.
authors.affiliation: Pacific Institute for Research and Evaluation, 1300 South 4 Street, Suite 300, Louisville, KY 40208, USA. E-mail: tpan@pire.org.
authors.forename: Zhenfeng
authors.initials: Z
authors.lastname: Pan
authors.forename: Dongsheng
authors.initials: D
authors.lastname: Hu
mesh_terms: D000328:Adult; D002681:China / Q000453:epidemiology; D005260:Female; D006306:Health Surveys; D006801:Humans; D016014:Linear Models; D008297:Male; D012907:Smoking / Q000453:epidemiology*