Luhua Zhao1, Yang Song2, Lin Xiao3, Krishna Palipudi4, Samira Asma2. 1. Office on Smoking and Health, US Centers for Disease Control and Prevention, Atlanta, GA, USA. Electronic address: itz8@cdc.gov. 2. Center for Global Health, US Centers for Disease Control and Prevention, Atlanta, GA, USA. 3. Office of Tobacco Control, Chinese Center for Disease Control and Prevention, Beijing, PR China. 4. Office on Smoking and Health, US Centers for Disease Control and Prevention, Atlanta, GA, USA.
Abstract
BACKGROUND: China has the largest population of smokers in the world, yet the quit rate is low. We used data from the 2010 Global Adult Tobacco Survey China to identify factors influencing quit attempts among male Chinese daily smokers. METHODS: The study sample included 3303 male daily smokers. To determine the factors that were significantly associated with making a quit attempt, we conducted logistic regression analyses. In addition, mediation analyses were carried out to investigate how the intermediate association among demographics (age, education, urbanicity) and smoking-related variables affected making a quit attempt. RESULTS: An estimated 11.0% of male daily smokers tried to quit smoking in the 12 months prior to the survey. Logistic regression analysis indicated that younger age (15-24 years), being advised to quit by a health care provider (HCP) in the past 12 months, lower cigarette cost per pack, monthly or less frequent exposure to smoking at home, and awareness of the harms of tobacco use were significantly associated with making a quit attempt. Additional mediation analyses showed that having knowledge of the harm of tobacco, exposure to smoking at home, and having been advised to quit by an HCP were mediators of making a quit attempt for other independent variables. CONCLUSION: Evidence-based tobacco control measures such as conducting educational campaigns on the harms of tobacco use, establishing smoke-free policies at home, and integrating tobacco cessation advice into primary health care services can increase quit attempts and reduce smoking among male Chinese daily smokers.
BACKGROUND: China has the largest population of smokers in the world, yet the quit rate is low. We used data from the 2010 Global Adult Tobacco Survey China to identify factors influencing quit attempts among male Chinese daily smokers. METHODS: The study sample included 3303 male daily smokers. To determine the factors that were significantly associated with making a quit attempt, we conducted logistic regression analyses. In addition, mediation analyses were carried out to investigate how the intermediate association among demographics (age, education, urbanicity) and smoking-related variables affected making a quit attempt. RESULTS: An estimated 11.0% of male daily smokers tried to quit smoking in the 12 months prior to the survey. Logistic regression analysis indicated that younger age (15-24 years), being advised to quit by a health care provider (HCP) in the past 12 months, lower cigarette cost per pack, monthly or less frequent exposure to smoking at home, and awareness of the harms of tobacco use were significantly associated with making a quit attempt. Additional mediation analyses showed that having knowledge of the harm of tobacco, exposure to smoking at home, and having been advised to quit by an HCP were mediators of making a quit attempt for other independent variables. CONCLUSION: Evidence-based tobacco control measures such as conducting educational campaigns on the harms of tobacco use, establishing smoke-free policies at home, and integrating tobacco cessation advice into primary health care services can increase quit attempts and reduce smoking among male Chinese daily smokers.
Authors: Jilan Yang; David Hammond; Pete Driezen; Richard J O'Connor; Qiang Li; Hua-Hie Yong; Geoffrey T Fong; Yuan Jiang Journal: BMC Public Health Date: 2011-02-02 Impact factor: 3.295
Authors: Gary A Giovino; Sara A Mirza; Jonathan M Samet; Prakash C Gupta; Martin J Jarvis; Neeraj Bhala; Richard Peto; Witold Zatonski; Jason Hsia; Jeremy Morton; Krishna M Palipudi; Samira Asma Journal: Lancet Date: 2012-08-18 Impact factor: 79.321