Factors associated with quitting intention among male daily smokers in rural areas

Abstract

Objective: To study the intention on quitting smoking and related factors, so as to provide evidence on related important determinants. Methods: A cross-sectional study was conducted in 14 villages in Shandong, China. A total of 1 287 male daily smokers were interviewed, face-to-face. Multiple logistic regression method was used to assess the factors associated with quitting intention among male daily smokers. Dominance analysis was used to assess the relative contribution of determinants on quitting intention which were identified in the multiple logistic regression model. Results: Among 1 287 male daily smokers, 24.7% expressed quitting intention within the next 6 months. Four determinants for quitting intention were identified in the multiple logistic regression model, including previous experience of quitting attempt (OR=1.691, 95% CI:1.458-1.962), lower level of smoking intensity (OR=0.751, 95%CI: 0.639-0.884), extensive knowledge on specific health effects of smoking (OR=1.038, 95% CI: 1.001-1.077) and presence of chronic disease (OR=1.765, 95% CI: 1.013-3.075). Results from the dominance analysis showed that 'previous quitting attempt experience' was the most important determinant regarding quitting intention, followed by low smoking intensity, knowledge of the specific health effects of smoking, and the presence of chronic disease. Conclusion: The rate of quitting intention on cigarette smoking among rural male smokers remained low. Quitting intention was associated with previous quit attempt experience.