RESEARCH PAPER
Chinese smokers’ behavioral response toward cigarette price: individual and regional correlates
| 1 | Center for Tobacco Control Research, Zhejiang University School of Medicine, Hangzhou, China |
| 2 | Health Services Administration Program, University of Evansville, Evansville, USA |
| 3 | Public Health Studies Program, School of Health and Applied Human Sciences, University of North Carolina, Wilmington, USA |
| 4 | Department of Epidemiology, School of Public Health, and Injury Control Research Center, West Virginia University, Morgantown, USA |
CORRESPONDING AUTHOR
Tingzhong Yang
Center for Tobacco Control Research, Zhejiang University School of Medicine, Yuhangtang Road, Hangzhou 310058, China
Center for Tobacco Control Research, Zhejiang University School of Medicine, Yuhangtang Road, Hangzhou 310058, China
Publish date: 2016-04-05
Tobacco Induced Diseases 2016;14(April):13
KEYWORDS
ABSTRACT
Background:
Many studies have explored smokers’ behavioral response to cigarette prices at the individual level, but none have factored in regional variation and determinants. This study addresses these research gaps in the Chinese context.
Methods:
A cross-sectional multistage sampling process was used to recruit participants in 21 cities in China. Individual-level information was collected using standardized questionnaires. City-level variables were retrieved from a nationall database. Multilevel logistic regression analysis was used to assess price sensitivity variation at both individual and city levels.
Results:
A cross-sectional multistage sampling process was used to recruit participants in 21 cities in China. Individual-level information was collected using standardized questionnaires. City-level variables were retrieved from a nationall database. Multilevel logistic regression analysis was used to assess price sensitivity variation at both individual and city levels.
Conclusions:
A cross-sectional multistage sampling process was used to recruit participants in 21 cities in China. Individual-level information was collected using standardized questionnaires. City-level variables were retrieved from a nationall database. Multilevel logistic regression analysis was used to assess price sensitivity variation at both individual and city levels.
Many studies have explored smokers’ behavioral response to cigarette prices at the individual level, but none have factored in regional variation and determinants. This study addresses these research gaps in the Chinese context.
Methods:
A cross-sectional multistage sampling process was used to recruit participants in 21 cities in China. Individual-level information was collected using standardized questionnaires. City-level variables were retrieved from a nationall database. Multilevel logistic regression analysis was used to assess price sensitivity variation at both individual and city levels.
Results:
A cross-sectional multistage sampling process was used to recruit participants in 21 cities in China. Individual-level information was collected using standardized questionnaires. City-level variables were retrieved from a nationall database. Multilevel logistic regression analysis was used to assess price sensitivity variation at both individual and city levels.
Conclusions:
A cross-sectional multistage sampling process was used to recruit participants in 21 cities in China. Individual-level information was collected using standardized questionnaires. City-level variables were retrieved from a nationall database. Multilevel logistic regression analysis was used to assess price sensitivity variation at both individual and city levels.
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CITATIONS (2):
| 1. |
Erratum to: Chinese smokers’ behavioral response toward cigarette price: individual and regional correlates Tingzhong Yang, Sihui Peng, Lingwei Yu, Shuhan Jiang, William B. Stroube, Randall R. Cottrell, Ian R. H. Rockett Tobacco Induced Diseases |
| 2. |
Chinese immigrant men smokers’ sources of cigarettes in Canada: A qualitative study Aimei Mao, Joan L. Bottorff, John L. Oliffe, Gayl Sarbit, Mary T. Kelly Tobacco Induced Diseases |
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