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The impact of PM(2.5) on mortality in older adults: evidence from retirement of coal-fired power plants in the United States
BACKGROUND: Evidence of causal relationship between mortality of older adults and low- concentration PM(2.5) remains limited. OBJECTIVES: This study investigates the effects of low-concentration PM(2.5) on the mortality of adults older than 65 using the closure of coal-fired power plants in the East...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7055118/ https://www.ncbi.nlm.nih.gov/pubmed/32126999 http://dx.doi.org/10.1186/s12940-020-00573-2 |
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author | Fan, Maoyong Wang, Yi |
author_facet | Fan, Maoyong Wang, Yi |
author_sort | Fan, Maoyong |
collection | PubMed |
description | BACKGROUND: Evidence of causal relationship between mortality of older adults and low- concentration PM(2.5) remains limited. OBJECTIVES: This study investigates the effects of low-concentration PM(2.5) on the mortality of adults older than 65 using the closure of coal-fired power plants in the Eastern United States as a natural experiment. METHODS: We investigated power plants in the Eastern United States (US) that had production changes through unit shutdown or plant retirement between 1999 and 2013. We included only non-clustered power plants without scrubbers and with capacities greater than 50 MW. We used instrumental variable (IV) and difference-in-differences (DID) approaches to estimate the causal impact of PM(2.5) concentrations on mortality among Medicare beneficiaries. We compared changes in monthly age-adjusted mortality before and after the retirement of coal-fired plants between the treated and control counties; we accounted for annual wind direction in our selection of treated and control counties. In the models, we initially included only county and monthly fixed effects, and then adjusted for covariates including: 1) only weather variables (temperature, dew point, pressure); and 2) weather variables and socio-economic variables (median household income and poverty rate). RESULTS: The monthly age-adjusted mortality rate averaged across all plants was approximately 423 per 100,000 (SD = 69) and was higher for males than females. Mean PM(2.5) concentrations across all counties were 12 μg/m(3) (SD = 3.78). Using the IV method, we found that reductions in PM(2.5) concentrations significantly decreased monthly mortality among older adults. IV results show that a 1-μg/m(3) reduction in PM(2.5) concentrations leads to 7.17 fewer deaths per 100,000 per month, or a 1.7% lower monthly mortality rate among people older than 65 years. Using the DID approach, we found that power plant retirement significantly decreased: 1) monthly PM(2.5) levels by 2.1 μg/m(3), and 2) monthly age-adjusted mortality by approximately 15 people per 100,000 (or 3.6%) in treated counties relative to control counties. The mortality effects were higher among males than females and its impact was the greatest among people older than 75 years. CONCLUSION: These findings provide evidence of the effectiveness of local, plant-level control measures in reducing near-plant PM(2.5) and mortality among U.S. Medicare beneficiaries. |
format | Online Article Text |
id | pubmed-7055118 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-70551182020-03-10 The impact of PM(2.5) on mortality in older adults: evidence from retirement of coal-fired power plants in the United States Fan, Maoyong Wang, Yi Environ Health Research BACKGROUND: Evidence of causal relationship between mortality of older adults and low- concentration PM(2.5) remains limited. OBJECTIVES: This study investigates the effects of low-concentration PM(2.5) on the mortality of adults older than 65 using the closure of coal-fired power plants in the Eastern United States as a natural experiment. METHODS: We investigated power plants in the Eastern United States (US) that had production changes through unit shutdown or plant retirement between 1999 and 2013. We included only non-clustered power plants without scrubbers and with capacities greater than 50 MW. We used instrumental variable (IV) and difference-in-differences (DID) approaches to estimate the causal impact of PM(2.5) concentrations on mortality among Medicare beneficiaries. We compared changes in monthly age-adjusted mortality before and after the retirement of coal-fired plants between the treated and control counties; we accounted for annual wind direction in our selection of treated and control counties. In the models, we initially included only county and monthly fixed effects, and then adjusted for covariates including: 1) only weather variables (temperature, dew point, pressure); and 2) weather variables and socio-economic variables (median household income and poverty rate). RESULTS: The monthly age-adjusted mortality rate averaged across all plants was approximately 423 per 100,000 (SD = 69) and was higher for males than females. Mean PM(2.5) concentrations across all counties were 12 μg/m(3) (SD = 3.78). Using the IV method, we found that reductions in PM(2.5) concentrations significantly decreased monthly mortality among older adults. IV results show that a 1-μg/m(3) reduction in PM(2.5) concentrations leads to 7.17 fewer deaths per 100,000 per month, or a 1.7% lower monthly mortality rate among people older than 65 years. Using the DID approach, we found that power plant retirement significantly decreased: 1) monthly PM(2.5) levels by 2.1 μg/m(3), and 2) monthly age-adjusted mortality by approximately 15 people per 100,000 (or 3.6%) in treated counties relative to control counties. The mortality effects were higher among males than females and its impact was the greatest among people older than 75 years. CONCLUSION: These findings provide evidence of the effectiveness of local, plant-level control measures in reducing near-plant PM(2.5) and mortality among U.S. Medicare beneficiaries. BioMed Central 2020-03-03 /pmc/articles/PMC7055118/ /pubmed/32126999 http://dx.doi.org/10.1186/s12940-020-00573-2 Text en © The Author(s) 2020 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Fan, Maoyong Wang, Yi The impact of PM(2.5) on mortality in older adults: evidence from retirement of coal-fired power plants in the United States |
title | The impact of PM(2.5) on mortality in older adults: evidence from retirement of coal-fired power plants in the United States |
title_full | The impact of PM(2.5) on mortality in older adults: evidence from retirement of coal-fired power plants in the United States |
title_fullStr | The impact of PM(2.5) on mortality in older adults: evidence from retirement of coal-fired power plants in the United States |
title_full_unstemmed | The impact of PM(2.5) on mortality in older adults: evidence from retirement of coal-fired power plants in the United States |
title_short | The impact of PM(2.5) on mortality in older adults: evidence from retirement of coal-fired power plants in the United States |
title_sort | impact of pm(2.5) on mortality in older adults: evidence from retirement of coal-fired power plants in the united states |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7055118/ https://www.ncbi.nlm.nih.gov/pubmed/32126999 http://dx.doi.org/10.1186/s12940-020-00573-2 |
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