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CN 34-1304/RISSN 1674-3679

Volume 23 Issue 12
Dec.  2019
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NING Chen-xi, CHEN Xiao-xiao, LIN Hai-jiang, QIAO Xiao-tong, HE Na, DING Ying-ying. Comparison of prevalence and correlates of smoking between males with and without HIV-infection in Taizhou City[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2019, 23(12): 1448-1454. doi: 10.16462/j.cnki.zhjbkz.2019.12.004
Citation: NING Chen-xi, CHEN Xiao-xiao, LIN Hai-jiang, QIAO Xiao-tong, HE Na, DING Ying-ying. Comparison of prevalence and correlates of smoking between males with and without HIV-infection in Taizhou City[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2019, 23(12): 1448-1454. doi: 10.16462/j.cnki.zhjbkz.2019.12.004

Comparison of prevalence and correlates of smoking between males with and without HIV-infection in Taizhou City

doi: 10.16462/j.cnki.zhjbkz.2019.12.004
Funds:

China National Science and Technology Major Projects on Infectious Diseases 2018ZX10721102-004

National Natural Science Foundation of China 81872671

More Information
  • Corresponding author: DING Ying-ying, E-mail: dingyy@fudan.edu.cn
  • Received Date: 2019-03-01
  • Rev Recd Date: 2019-06-17
  • Publish Date: 2019-12-10
  •   Objective  To analyze and compare the prevalence and correlates of smoking among HIV-infected and HIV-uninfected men in Taizhou City, and to provide this for the development and implementation of tobacco control measures for HIV-infected population.  Methods  We used baseline data from the ongoing prospective cohort study of Comparative HIV and Aging Research in Taizhou(CHART), China. 3 785 men were included in analysis. We collected basic characteristics, smoking behaviors, and so on. All analysis were performed using SAS 9.3.  Results  Compared to HIV-uninfected men, the prevalence of current smoking was lower(33.9%, 95% CI: 31.4%-36.5% versus 44.6%, 95%CI: 44.3%-48.3%) but prevalence of previous smoking was higher(14.1%, 95% CI: 12.3%-16.1% versus 12.5%, 95% CI: 11.2%-13.9%; χ2=56.81, P < 0.001). Among male HIV-positive people, the rate of smoking cessation after infection was 23.7%. Multivariate multinomial Logistic regression analysis showed that compared to HIV-uninfected men, in addition to occupation, body mass index and regular exercise that were associated with current smoking, older age(40-50years, OR=1.87, 95%CI: 1.28-2.74, P=0.001; ≥ 50 years, OR=2.30, 95% CI: 1.56-3.39, P < 0.001) and homosexual transmission(OR=0.45, 95% CI: 0.35-0.59, P < 0.001) were also associated with current smoking among HIV-infected men.  Conclusions  Cigarette smoking remains highly prevalent among HIV-infected men in Taizhou City, but with low self-reported smoking cessation rate even after knowing their HIV-positive status. Targeted measures can be taken to control tobacco by strengthening the awareness of HIV-positive persons to quit smoking and combining the factors affecting current smoking among HIV-infected population.
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