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March 29, 2026PLoS ONE0 citationsOpen Access

Association of long-term exposure to air pollution with sleep among middle-aged and older adults in China: A nationwide study from 2015 to 2018

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JCJing CaoZLZirong LiYWYufei Wu

Key Points

  • The study evaluates the effects of long-term exposure to air pollution on sleep duration and quality in middle-aged and older adults in China.
  • Analyzed data from 14,856 adults aged 45 and older in China Health and Retirement Longitudinal Study.
  • Examined changes in nocturnal sleep duration and quality from 2015 to 2018.
  • Used STET model for estimating air pollution exposure and its concentration differences.
  • Applied generalized linear mixed and ordinal logistic regression models for data analysis.
  • Conducted interaction analyses to determine potential effect modifiers.
  • 1-year exposure differences to air pollution correlated with significant reductions in sleep duration, particularly ≥1.5 h and ≥2 h.
  • CO exposure was linked to the highest risk of sleep duration reduction (OR = 1.451 for ≥1.5 h).
  • Elevated levels of PM 2.5, PM 10, NO 2, and SO 2 increased the risk of deteriorating sleep quality.
  • NO 2 exposure posed the highest risk for sleep quality deterioration, with a 22.3% increase per 10 μg/m 3 increment.
  • The adverse effects on sleep quality were most pronounced for individuals in urban areas.

Abstract

Background This study aims to evaluate the associations of long-term exposure to five major air pollutants (PM 2.5 , PM 10 , NO 2 , SO 2 , and CO) with sleep duration and quality among middle-aged and older Chinese adults. Methods This study used data from 14856 adults aged 45 and above participating in the China Health and Retirement Longitudinal Study (CHARLS). Changes in nocturnal sleep duration between baseline (2015) and follow-up (2018) were categorized into three groups: reductions ≥1 h, 1.5 h, or 2 h. The increase in the number of days with restless sleep at follow-up was defined as a deterioration in sleep quality. We used the STET model to estimate air pollution exposure and calculate the concentration differences over 1- or 2-year periods preceding each interview. We investigated the associations of exposure differences to five pollutants with sleep duration and quality through generalized linear mixed and ordinal logistic regression models. Interaction analyses were employed to identify potential effect modifiers. Results All 1-year exposure differences to air pollution positively correlated with reductions in sleep duration of both ≥1.5 h and ≥2 h. CO exposure demonstrated the highest risk for a ≥ 1.5 h reduction (OR = 1.451; 95% CI: 1.065–1.975) and a ≥ 2 h reduction (OR = 1.557; 95% CI: 1.135–2.135) per 1 μg/m 3 increment. Higher exposure levels to PM 2.5 , PM 10, NO 2 and SO 2 correlated with elevated risks of sleep quality deterioration. NO 2 exposure demonstrated the highest risk, with a 22.3% higher risk per 10 μg/m 3 increment (95% CI: 1.039–1.439). Pollutants affected sleep duration and quality in varying temporal patterns. Overall, 1-year exposure difference considerably impacted the sleep duration, while 2-year exposure difference significantly impacted the sleep quality. We also found that the air pollution’s adverse impacts on sleep quality were especially significant for those living in urban areas. Conclusion Long-term exposure to air pollution is associated with adverse sleep outcomes in middle-aged and older populations.

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Cite This Study

Cao et al. (2026) studied this question.

synapsesocial.com/papers/69c8c3a8de0f0f753b39ea52https://doi.org/10.1371/journal.pone.0336665
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