Abstract
杨蕾,刘言训,王健,贾崇奇.农村男性吸烟者戒烟意愿影响因素分析[J].Chinese journal of Epidemiology,2016,37(12):1565-1568
农村男性吸烟者戒烟意愿影响因素分析
Factors associated with quitting intention among male daily smokers in rural areas
Received:June 16, 2016  
DOI:10.3760/cma.j.issn.0254-6450.2016.12.002
KeyWord: 吸烟  戒烟意愿  影响因素  优势分析
English Key Word: Smoking  Quitting intention  Influencing factor  Dominance analysis
FundProject:美国比尔及梅琳达盖茨基金会(51437)
Author NameAffiliationE-mail
Yang Lei Department of Epidemiology, School of Public Health, Shandong University, Jinan 250012, China  
Liu Yanxun Department of Epidemiology, School of Public Health, Shandong University, Jinan 250012, China  
Wang Jian Department of Biostatistics, School of Public Health, Shandong University, Jinan 250012, China  
Jia Chongqi Center for Health Management and Policy, Shandong University, Jinan 250012, China jiachongqi@sdu.edu.cn 
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Abstract:
      目的 了解农村男性现在每天吸烟者戒烟意愿影响因素及其相对重要性。方法 采用横断面研究方法,以山东省临沂市莒南县14个行政村的男性现在每天吸烟者为研究对象,逐一入户,进行面对面问卷调查,共得有效问卷1 287份。应用logistic回归分析、优势logistic回归分析探讨戒烟意愿影响因素及其相对重要性。结果 1 287名每天吸烟者中有318人(24.7%)打算在未来6个月内戒烟。logistic回归分析显示,有既往戒烟经历(OR=1.691,95%CI:1.458~1.962)、吸烟量少(OR=0.751,95%CI:0.639~0.884)、烟草危害认知程度高(OR=1.038,95%CI:1.001~1.077)、患慢性病(OR=1.765,95%CI:1.013~3.075)的男性吸烟者更倾向有戒烟意愿。优势logistic回归分析显示,既往戒烟经历是戒烟意愿首位影响因素,其他依次是吸烟量、烟草危害认知以及慢性病患病情况。结论 农村男性吸烟者戒烟意愿比例较低。戒烟意愿主要与吸烟者自身因素有关,其中有既往戒烟经历是增加戒烟动机的首位影响因素。
English 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.
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