4.5 Article

The Association of Ambient Air Pollution with Sleep Apnea: The Multi-Ethnic Study of Atherosclerosis

Journal

ANNALS OF THE AMERICAN THORACIC SOCIETY
Volume 16, Issue 3, Pages 363-370

Publisher

AMER THORACIC SOC
DOI: 10.1513/AnnalsATS.201804-248OC

Keywords

environmental pollutants; health status disparities; obstructive sleep apnea

Funding

  1. National Heart, Lung, and Blood Institute (NHLBI) [HHSN268201500003I, N01-HC-95159, N01-HC-95160, N01-HC-95161, N01-HC-95162, N01-HC-95163, N01-HC-95164, N01-HC-95165, N01-HC-95166, N01-HC-95167, N01-HC-95168, N01-HC-95169]
  2. National Center for Advancing Translational Sciences [UL1-TR-000040, UL1-TR-001079, UL1-TR-001420]
  3. NHLBI [R01 R098433]
  4. U.S. Environmental Protection Agency (EPA) [RD831697]

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Rationale: Air pollution may influence sleep through airway inflammation or autonomic nervous system pathway alterations. Epidemiological studies may provide evidence of relationships between chronic air pollution exposure and sleep apnea. Objectives: To determine whether ambient-derived pollution exposure is associated with obstructive sleep apnea and objective sleep disruption. Methods: We analyzed data from a sample of participants in MESA (Multi-Ethnic Study of Atherosclerosis) who participated in both the Sleep and Air studies. Mean annual and 5-year exposure levels to nitrogen dioxide (NO2) and particulate matter <= 2.5 mu m in aerodynamic diameter (PM2.5) were estimated at participants' homes using spatiotemporal models based on cohort-specific monitoring. Participants completed in-home full polysomnography and 7 days of wrist actigraphy. We used multivariate models, adjusted for demographics, comorbidities, socioeconomic factors, and site, to assess whether air pollution was associated with sleep apnea (apnea-hypopnea index 15) and actigraphy-measured sleep efficiency. Results: The participants (n = 1,974) were an average age of 68 (+/- 9) years, 46% male, 36% white, 24% Hispanic, 28% black, and 12% Asian; 48% had sleep apnea and 25% had a sleep efficiency of <= 88%. A 10 ppb annual increase in NO2 exposure was associated with 39% greater adjusted odds of sleep apnea (95% confidence interval [CI], 1.03-1.87). A 5 mu g/m(3) greater annual PM2.5 exposure was also associated with 60% greater odds of sleep apnea (95% CI, 0.98 2.62). Sleep efficiency was not associated with air pollution levels in fully adjusted models. Conclusions: Individuals with higher annual NO2 and PM(2.5 )exposure levels had a greater odds of sleep apnea. These data suggest that in addition to individual risk factors, environmental factors also contribute to the variation of sleep disorders across groups, possibly contributing to health disparities.

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