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May 16, 2026Toxics1 citationsOpen Access

Intermediate- and Long-Term Exposure to PM2.5 and Its Chemical Components in Relation to Nocturnal Sleep Duration and Daytime Napping Duration

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LHLidan HuXYXiuhua YanXQXinhui Qiu

Key Points

  • This study aims to investigate how intermediate- and long-term exposure to PM2.5 and its components impacts sleep duration and daytime napping.
  • Included 19,505 participants aged ≥ 45 from CHARLS (2011–2018)
  • Estimated PM2.5 concentrations using the Tracking Air Pollution in China dataset
  • Applied linear mixed-effects models and quantile-based g-computation to analyze effects.
  • Intermediate exposure linked to shorter nocturnal sleep and longer daytime napping (p<0.05).
  • Long-term exposure showed similar associations with greater susceptibility among rural residents and those using solid fuels.
  • Results indicate the need for targeted public health interventions to address sleep health inequalities.

Abstract

While the association between criteria air pollutants and sleep duration is well-documented, evidence on the impact of fine particulate matter (PM2.5) chemical components on sleep remains limited. This study investigated the effects of intermediate- (6-month) and long-term (2-year) exposure to PM2.5 and its five major components—black carbon (BC), organic matter (OM), sulfate (SO42−), nitrate (NO3−), and ammonium (NH4+)—on nocturnal sleep and daytime napping duration. We included 19,505 participants aged ≥ 45 years from the China Health and Retirement Longitudinal Study (CHARLS, 2011–2018). Residential PM2.5 and component concentrations were estimated via the Tracking Air Pollution in China dataset, and sleep data were collected through self-reported questionnaires. Linear mixed-effects models and quantile-based g-computation (qgcomp) were used to assess single- and multi-pollutant effects. Results showed that both intermediate- and long-term exposure to PM2.5 components was associated with shorter nocturnal sleep and longer daytime napping. Subgroup analyses revealed greater susceptibility among rural residents, solid fuel users, and individuals without pensions. These findings emphasize the need for component-specific PM2.5 control strategies and targeted public health interventions to reduce sleep-related health inequalities, especially in socioeconomically disadvantaged populations.

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Cite This Study

Hu et al. (2026) studied this question.

synapsesocial.com/papers/6a080b38a487c87a6a40d59ahttps://doi.org/10.3390/toxics14050437
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