Rural-urban disparities in smoking patterns among Chinese adults: a social-ecological approach

Abstract

China has a long history of smoking behavior. Currently, nearly 26% of Chinese citizens smoke daily. This research used a nationally representative database to study the urban and rural disparities on smoking patterns applying the social-ecological model. Using the 2011 China Health and Nutrition Survey, the study sample included adult participants who were at least 18 years of age (n = 12,688). A subanalysis was carried out to investigate smoking cessation duration among smoking quitters (n = 519). Multinomial logistic regression was used to examine participants' smoking status. Zero-inflated negative binomial regression was applied to investigate participants' number of cigarettes smoked per day, and multivariable logistic regression was used to examine nondaily smoking behavior. Negative binomial regression was carried out to assess the duration of smoking cessation for individuals who quit smoking. Urban residents had lower odds of reporting current smoking status (AOR [adjusted odds ratio] = 0.83, 95% CI [0.74, 0.95]) as compared to rural residents. Urban residents also had higher odds of reporting nondaily smoking status (AOR = 1.17, 95% CI  [1.04, 1.32]) and smoked fewer cigarettes per day (IRR [incidence rate ratio] = 0.93, 95% CI  [0.89, 0.98]) as compared to rural participants. The disparity between urban and rural areas was not observed for smoking cessation duration. Further efforts should target the disparity between urban and rural regions regarding smoking prevention.

Keywords:

• Smoking
• smoking cessation
• China
• social-ecological approach
• China health and nutrition survey

Acknowledgments

This research uses data from China Health and Nutrition Survey (CHNS). We thank the National Institute for Nutrition and Health, China Center for Disease Control and Prevention, Carolina Population Center (P2C HD050924, T32 HD007168), the University of North Carolina at Chapel Hill, the NIH (R01-HD30880, DK056350, R24 HD050924, and R01-HD38700), and the NIH Fogarty International Center (D43 TW009077, D43 TW007709) for financial support for the CHNS data collection and analysis files from 1989 to 2015 and future surveys, and the China-Japan Friendship Hospital, Ministry of Health for support for CHNS 2009, Chinese National Human Genome Center at Shanghai since 2009, and Beijing Municipal Center for Disease Prevention and Control since 2011.

Disclosure statement

The authors declare no competing interests for this research.

Additional information

Funding

The authors did not receive any funding in terms of authorship and publication of this research.