Association of long-term exposure to ambient air pollution with the incidence of sleep disorders: A cohort study in China

• Published in: Ecotoxicology and environmental safety 2021-03, Vol.211, p.111956, Article 111956
• Main Authors: Yu, Zhebin, Wei, Fang, Wu, Mengyin, Lin, Hongbo, Shui, Liming, Jin, Mingjuan, Wang, Jianbing, Tang, Mengling, Chen, Kun
• Format: Article
• Language: English
• Subjects: Adult; Air Pollutants - analysis; Air pollution; Air Pollution - analysis; Air Pollution - statistics & numerical data; China - epidemiology; Cohort Studies; Cohort study; Environmental Exposure - analysis; Environmental Exposure - statistics & numerical data; Female; Humans; Incidence; Logistic Models; Male; Middle Aged; Nitrogen dioxide; Nitrogen Dioxide - analysis; Odds Ratio; Particulate matter; Particulate Matter - analysis; Prevalence; Prospective Studies; Regression Analysis; Sleep disorders; Sleep Wake Disorders - epidemiology
• ISSN: 0147-6513; 1090-2414
• DOI: 10.1016/j.ecoenv.2021.111956

Sleep disorders have been verified to be associated with adverse health outcomes. Recent studies have linked ambient air pollution to sleep disorders. However, evidence with large sample size and especially prospective studies is very limited. We used data from a prospective cohort study established from 2015 to 2018 in Ningbo, China. Participants were followed-up after baseline survey through linkage to the regional Health Information System (HIS). Sleep disorders were defined based on International Classification of Disease 10 (ICD-10). Spatial-temporal land-use regression (LUR) models were used to estimate the annual exposure to particulate matter with diameter ≤ 2.5 µm (PM2.5), ≤ 10 µm (PM10) and nitrogen dioxides (NO2). The associations between long-term exposure to air pollutants and prevalence of sleep disorders were examined using logistic regression models, and Cox regression models for the effects of air pollution on the incidence of sleep disorders. A generalized weighted quantile sum (gWQS) regression was used in the multipollutant analysis. A total of 38,775 participants were included in the final analysis. Based on baseline data, we observed significant positive associations between air pollution exposure and increased odds of prevalent sleep disorders (Odds Ratio (OR)= 1.48, 95% confidence interval (CI): 1.41–1.55 for PM2.5; OR= 1.47,95%CI:1.38–1.57 for PM10; OR= 1.38, 95%CI:1.31–1.46 for NO2). In the longitudinal analysis, hazard ratios for incident sleep disorders associated with per interquartile range (IQR) increase in PM2.5, PM10 and NO2 were 1.14 (1.03, 1.25), 1.13 (1.01, 1.27) and 1.13 (1.04, 1.23), respectively. A gWQS regression analysis showed significant association between air pollution mixture and incident sleep disorders (OR=1.11, 95%CI: 1.03–1.20). Long-term exposure to PM2.5, PM10 and NO2 were associated with increased risk of sleep disorders in a Chinese population. Our findings could provide evidence for a more general role in the adverse health impact of air pollution. [Display omitted] •Positive associations between air pollution and incident sleep disorder were found.•PM2.5, PM10 and NO2 contributed similarly to sleep disorders in multipollutant analysis.•Reducing the ambient air pollution level would benefit sleep health.