ZHAO Jie-wen, YAO Peng-tao, LIU Li-xiang. The epidemiological investigation on risk factors of nicotine dependence among the smokers in Beijing[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2018, 22(4): 358-362. doi: 10.16462/j.cnki.zhjbkz.2018.04.009
Citation:
ZHAO Jie-wen, YAO Peng-tao, LIU Li-xiang. The epidemiological investigation on risk factors of nicotine dependence among the smokers in Beijing[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2018, 22(4): 358-362. doi: 10.16462/j.cnki.zhjbkz.2018.04.009
ZHAO Jie-wen, YAO Peng-tao, LIU Li-xiang. The epidemiological investigation on risk factors of nicotine dependence among the smokers in Beijing[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2018, 22(4): 358-362. doi: 10.16462/j.cnki.zhjbkz.2018.04.009
Citation:
ZHAO Jie-wen, YAO Peng-tao, LIU Li-xiang. The epidemiological investigation on risk factors of nicotine dependence among the smokers in Beijing[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2018, 22(4): 358-362. doi: 10.16462/j.cnki.zhjbkz.2018.04.009
1. Department of Cardiology, Beijing Hospital of Traditional Chinese Medicine Affiliated to Capital Medical University, Beijing 100010, China;
2. Department of Medicine, Infectious Disease Prevention and Control Hospital of Heilongjiang Province, Harbin 150500, China;
3. Department of Management of Social Medicine and Health, School of Health Administration and Education, Capital Medical University, Beijing 100069, China;
4. Tobacco Control Office, Chinese Center for Disease Control and Prevention, Beijing 100050, China
Objective To identify the risk factors of nicotine dependence by conducting an epidemiological investigation in smokers beyond 15 years in Beijing. Methods A household questionnaire survey was carried out on whom were selected by multi-stage stratified and proportional random sampling method. Kruskal-Wallis test and multivariable unconditional Logistic regression analysis were performed to identify the influencing factors of moderate and severe nicotine dependence, compared with mild dependence. Results A total of 1 280 smokers were recruited, in which 1 176 smokers were males (91.9%).The smokers with mild, moderate and severe nicotine dependence accounted for 53.5%, 33.3% and 13.2% respectively. Multivariable unconditional logistic regression analysis showed that compared with the mild nicotine dependence, older(OR=3.643,95% CI:1.467-9.045),often smoking in indoor workplaces(OR=2.539,95% CI:1.553-4.149),in indoor public places(OR=2.621,95% CI:1.581-4.346)and at home smokers(OR=3.304,95% CI:1.782-6.126)had higher risk to become severe nicotine dependence. While higher education level (OR=0.172,95% CI:0.062-0.480),occupation(OR=0.314,95% CI:0.138-0.714), fewere alcohol consumption (OR=0.567,95% CI:0.434-0.742)and fewer everyday smoking number(OR=0.056,95% CI:0.034-0.093)were protective factors. Conclusions From the perspective of demographic information and factors affecting nicotine dependence, strengthen public care and tobacco control policy supervision on public place and that family members' discourage against smoking within the family at the same time. Encourage people start with less smoking and alcohol.