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CN 34-1304/RISSN 1674-3679

Volume 26 Issue 7
Jul.  2022
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HE Rui-feng, LIANG Yi-zhi, CHEN Lin, GUO Bing. Association between passive smoking exposure and insomnia in a Tibetan non-smoking population based on the propensity score[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2022, 26(7): 815-819. doi: 10.16462/j.cnki.zhjbkz.2022.07.012
Citation: HE Rui-feng, LIANG Yi-zhi, CHEN Lin, GUO Bing. Association between passive smoking exposure and insomnia in a Tibetan non-smoking population based on the propensity score[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2022, 26(7): 815-819. doi: 10.16462/j.cnki.zhjbkz.2022.07.012

Association between passive smoking exposure and insomnia in a Tibetan non-smoking population based on the propensity score

doi: 10.16462/j.cnki.zhjbkz.2022.07.012
Funds:

National Key Research and Development Program of China 2017YFC0907302

More Information
  • Corresponding author: GUO Bing, E-mail: guobing0111@foxmail.com
  • Received Date: 2021-10-07
  • Rev Recd Date: 2022-01-16
  • Available Online: 2022-07-19
  • Publish Date: 2022-07-10
  •   Objective  To describe the distribution characteristics of passive smoking exposure and insomnia symptoms in the Tibetan non-smoking population in China. It aims to investigate the extent of association between passive smoking exposure and insomnia symptoms.  Methods  Based on the data of 7 737 Tibetan residents recruited in Lhasa from 2018 to 2019 in the Southwest Regional General Population Cohort Project, the study analyzed the association between passive smoking exposure and insomnia symptoms using the propensity score inverse probability weighting method and marginal structure model. Besides, the association between passive smoking and insomnia was compared across age, gender, BMI, adverse life events, and social support groups.  Results  The passive smoking exposure rate was 22.50%, and the insomnia detection rate was 33.67% in the survey population. After adjusting for potential confounders, the risk of insomnia symptoms in the passive smoking group was nearly 1.24 times higher than in the non-passive smoking exposed group (OR=1.24, 95% CI: 1.14-1.34). People who age ≥50 years (OR=1.25, 95% CI: 1.01-1.54), was males (OR=1.60, 95% CI: 1.17-2.18), overweight (OR=1.24, 95% CI: 1.05-1.47), have had an adverse life event (OR=1.46, 95% CI: 1.01-2.10) and moderate social support (OR=1.46, 95% CI: 1.12-1.92) were suffered more strongly effect of passive smoking exposure on insomnia.  Conclusions  This study suggests that passive smoking exposure is a risk factor for insomnia in the Tibetan non-smoking population. Interventions regarding reducing passive smoking exposure should be performed to promote sleep health in Tibetans.
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