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National Cohort Study of Long-Term Exposure to PM 2.5 Components and Mortality in Medicare American Older Adults.
- Source :
-
Environmental science & technology [Environ Sci Technol] 2023 May 02; Vol. 57 (17), pp. 6835-6843. Date of Electronic Publication: 2023 Apr 19. - Publication Year :
- 2023
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Abstract
- There is increasing evidence linking long-term fine particulate matter (PM <subscript>2.5</subscript> ) exposure to negative health effects. However, the relative influence of each component of PM <subscript>2.5</subscript> on health risk is poorly understood. In a cohort study in the contiguous United States between 2000 and 2017, we examined the effect of long-term exposure to PM <subscript>2.5</subscript> main components and all-cause mortality in older adults who had to be at least 65 years old and enrolled in Medicare. We estimated the yearly mean concentrations of six key PM <subscript>2.5</subscript> compounds, including black carbon (BC), organic matter (OM), soil dust (DUST), nitrate (NO <subscript>3</subscript> <superscript>-</superscript> ), sulfate (SO <subscript>4</subscript> <superscript>2-</superscript> ), and ammonium (NH <subscript>4</subscript> <superscript>+</superscript> ), using two independently sourced well-validated prediction models. We applied Cox proportional hazard models to evaluate the hazard ratios for mortality and penalized splines for assessing potential nonlinear concentration-response associations. Results suggested that increased exposure to PM <subscript>2.5</subscript> mass and its six main constituents were significantly linked to elevated all-cause mortality. All components showed linear concentration-response relationships in the low exposure concentration ranges. Our research indicates that long-term exposure to PM <subscript>2.5</subscript> mass and its essential compounds are strongly connected to increased mortality risk. Reductions of fossil fuel burning may yield significant air quality and public health benefit.
Details
- Language :
- English
- ISSN :
- 1520-5851
- Volume :
- 57
- Issue :
- 17
- Database :
- MEDLINE
- Journal :
- Environmental science & technology
- Publication Type :
- Academic Journal
- Accession number :
- 37074132
- Full Text :
- https://doi.org/10.1021/acs.est.2c07064