Fine particulate matter components associated with exacerbated depressive symptoms among middle-aged and older adults in China

Sci Total Environ. 2024 Oct 10:946:174228. doi: 10.1016/j.scitotenv.2024.174228. Epub 2024 Jun 22.

Abstract

Growing awareness acknowledges ambient fine particulate matter (PM2.5) as an environmental risk factor for mental disorders, especially among older people. However, there remains limited evidence regarding which specific chemical components of PM2.5 may be more detrimental. This nationwide prospective cohort study included 22,126 middle-aged and older adult participants of the China Health and Retirement Longitudinal Study (CHARLS, 2011-2016), to explore the individual and joint associations between long-term exposure to various PM2.5 components (sulfate, nitrate, ammonium, organic matter, and black carbon) and depressive symptoms. The depressive symptoms were assessed using the 10-item Center for Epidemiological Studies-Depression Scale (CES-D-10). Using the novel quantile-based g-computation for multi-pollutant mixture analysis, we found that exposure to the mixture of major PM2.5 components was significantly associated with aggravating depressive symptoms, with the exposure-response curve exhibiting consistent linear or supra-linear shape without a lower threshold. The estimated weight index indicated that, among major PM2.5 components, only nitrate, sulfate, and black carbon significantly contributed to the exacerbation of depressive symptoms. Given the expanding aging population, stricter regulation on the emissions of particularly toxic PM2.5 components may mitigate the escalating disease burden of depression.

Keywords: Cohort study; Depressive symptoms; Fine particulate matter (PM(2.5)); Long-term exposure; PM(2.5) components.

MeSH terms

  • Aged
  • Air Pollutants* / analysis
  • Air Pollution / adverse effects
  • Air Pollution / statistics & numerical data
  • China / epidemiology
  • Depression* / epidemiology
  • Environmental Exposure / statistics & numerical data
  • Female
  • Humans
  • Longitudinal Studies
  • Male
  • Middle Aged
  • Particulate Matter* / analysis
  • Prospective Studies

Substances

  • Particulate Matter
  • Air Pollutants