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Low-Concentration PM(2.5) and Mortality: Estimating Acute and Chronic Effects in a Population-Based Study
BACKGROUND: Both short- and long-term exposures to fine particulate matter (≤ 2.5 μm; PM(2.5)) are associated with mortality. However, whether the associations exist at levels below the new U.S. Environmental Protection Agency (EPA) standards (12 μg/m(3) of annual average PM(2.5), 35 μg/m(3) daily)...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
National Institute of Environmental Health Sciences
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4710600/ https://www.ncbi.nlm.nih.gov/pubmed/26038801 http://dx.doi.org/10.1289/ehp.1409111 |
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author | Shi, Liuhua Zanobetti, Antonella Kloog, Itai Coull, Brent A. Koutrakis, Petros Melly, Steven J. Schwartz, Joel D. |
author_facet | Shi, Liuhua Zanobetti, Antonella Kloog, Itai Coull, Brent A. Koutrakis, Petros Melly, Steven J. Schwartz, Joel D. |
author_sort | Shi, Liuhua |
collection | PubMed |
description | BACKGROUND: Both short- and long-term exposures to fine particulate matter (≤ 2.5 μm; PM(2.5)) are associated with mortality. However, whether the associations exist at levels below the new U.S. Environmental Protection Agency (EPA) standards (12 μg/m(3) of annual average PM(2.5), 35 μg/m(3) daily) is unclear. In addition, it is not clear whether results from previous time series studies (fit in larger cities) and cohort studies (fit in convenience samples) are generalizable. OBJECTIVES: We estimated the effects of low-concentration PM(2.5) on mortality. METHODS: High resolution (1 km × 1 km) daily PM(2.5) predictions, derived from satellite aerosol optical depth retrievals, were used. Poisson regressions were applied to a Medicare population (≥ 65 years of age) in New England to simultaneously estimate the acute and chronic effects of exposure to PM(2.5), with mutual adjustment for short- and long-term exposure, as well as for area-based confounders. Models were also restricted to annual concentrations < 10 μg/m(3) or daily concentrations < 30 μg/m(3). RESULTS: PM(2.5) was associated with increased mortality. In the study cohort, 2.14% (95% CI: 1.38, 2.89%) and 7.52% (95% CI: 1.95, 13.40%) increases were estimated for each 10-μg/m(3) increase in short- (2 day) and long-term (1 year) exposure, respectively. The associations held for analyses restricted to low-concentration PM(2.5) exposure, and the corresponding estimates were 2.14% (95% CI: 1.34, 2.95%) and 9.28% (95% CI: 0.76, 18.52%). Penalized spline models of long-term exposure indicated a larger effect for mortality in association with exposures ≥ 6 μg/m(3) versus those < 6 μg/m(3). In contrast, the association between short-term exposure and mortality appeared to be linear across the entire exposure distribution. CONCLUSIONS: Using a mutually adjusted model, we estimated significant acute and chronic effects of PM(2.5) exposure below the current U.S. EPA standards. These findings suggest that improving air quality with even lower PM(2.5) than currently allowed by U.S. EPA standards may benefit public health. CITATION: Shi L, Zanobetti A, Kloog I, Coull BA, Koutrakis P, Melly SJ, Schwartz JD. 2016. Low-concentration PM(2.5) and mortality: estimating acute and chronic effects in a population-based study. Environ Health Perspect 124:46–52; http://dx.doi.org/10.1289/ehp.1409111 |
format | Online Article Text |
id | pubmed-4710600 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | National Institute of Environmental Health Sciences |
record_format | MEDLINE/PubMed |
spelling | pubmed-47106002016-01-20 Low-Concentration PM(2.5) and Mortality: Estimating Acute and Chronic Effects in a Population-Based Study Shi, Liuhua Zanobetti, Antonella Kloog, Itai Coull, Brent A. Koutrakis, Petros Melly, Steven J. Schwartz, Joel D. Environ Health Perspect Research BACKGROUND: Both short- and long-term exposures to fine particulate matter (≤ 2.5 μm; PM(2.5)) are associated with mortality. However, whether the associations exist at levels below the new U.S. Environmental Protection Agency (EPA) standards (12 μg/m(3) of annual average PM(2.5), 35 μg/m(3) daily) is unclear. In addition, it is not clear whether results from previous time series studies (fit in larger cities) and cohort studies (fit in convenience samples) are generalizable. OBJECTIVES: We estimated the effects of low-concentration PM(2.5) on mortality. METHODS: High resolution (1 km × 1 km) daily PM(2.5) predictions, derived from satellite aerosol optical depth retrievals, were used. Poisson regressions were applied to a Medicare population (≥ 65 years of age) in New England to simultaneously estimate the acute and chronic effects of exposure to PM(2.5), with mutual adjustment for short- and long-term exposure, as well as for area-based confounders. Models were also restricted to annual concentrations < 10 μg/m(3) or daily concentrations < 30 μg/m(3). RESULTS: PM(2.5) was associated with increased mortality. In the study cohort, 2.14% (95% CI: 1.38, 2.89%) and 7.52% (95% CI: 1.95, 13.40%) increases were estimated for each 10-μg/m(3) increase in short- (2 day) and long-term (1 year) exposure, respectively. The associations held for analyses restricted to low-concentration PM(2.5) exposure, and the corresponding estimates were 2.14% (95% CI: 1.34, 2.95%) and 9.28% (95% CI: 0.76, 18.52%). Penalized spline models of long-term exposure indicated a larger effect for mortality in association with exposures ≥ 6 μg/m(3) versus those < 6 μg/m(3). In contrast, the association between short-term exposure and mortality appeared to be linear across the entire exposure distribution. CONCLUSIONS: Using a mutually adjusted model, we estimated significant acute and chronic effects of PM(2.5) exposure below the current U.S. EPA standards. These findings suggest that improving air quality with even lower PM(2.5) than currently allowed by U.S. EPA standards may benefit public health. CITATION: Shi L, Zanobetti A, Kloog I, Coull BA, Koutrakis P, Melly SJ, Schwartz JD. 2016. Low-concentration PM(2.5) and mortality: estimating acute and chronic effects in a population-based study. Environ Health Perspect 124:46–52; http://dx.doi.org/10.1289/ehp.1409111 National Institute of Environmental Health Sciences 2015-06-03 2016-01 /pmc/articles/PMC4710600/ /pubmed/26038801 http://dx.doi.org/10.1289/ehp.1409111 Text en http://creativecommons.org/publicdomain/mark/1.0/ Publication of EHP lies in the public domain and is therefore without copyright. All text from EHP may be reprinted freely. Use of materials published in EHP should be acknowledged (for example, “Reproduced with permission from Environmental Health Perspectives”); pertinent reference information should be provided for the article from which the material was reproduced. Articles from EHP, especially the News section, may contain photographs or illustrations copyrighted by other commercial organizations or individuals that may not be used without obtaining prior approval from the holder of the copyright. |
spellingShingle | Research Shi, Liuhua Zanobetti, Antonella Kloog, Itai Coull, Brent A. Koutrakis, Petros Melly, Steven J. Schwartz, Joel D. Low-Concentration PM(2.5) and Mortality: Estimating Acute and Chronic Effects in a Population-Based Study |
title | Low-Concentration PM(2.5) and Mortality: Estimating Acute and Chronic Effects in a Population-Based Study |
title_full | Low-Concentration PM(2.5) and Mortality: Estimating Acute and Chronic Effects in a Population-Based Study |
title_fullStr | Low-Concentration PM(2.5) and Mortality: Estimating Acute and Chronic Effects in a Population-Based Study |
title_full_unstemmed | Low-Concentration PM(2.5) and Mortality: Estimating Acute and Chronic Effects in a Population-Based Study |
title_short | Low-Concentration PM(2.5) and Mortality: Estimating Acute and Chronic Effects in a Population-Based Study |
title_sort | low-concentration pm(2.5) and mortality: estimating acute and chronic effects in a population-based study |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4710600/ https://www.ncbi.nlm.nih.gov/pubmed/26038801 http://dx.doi.org/10.1289/ehp.1409111 |
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