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A National Multicity Analysis of the Causal Effect of Local Pollution, [Formula: see text] , and [Formula: see text] on Mortality
BACKGROUND: Studies have long associated [Formula: see text] with daily mortality, but few applied causal-modeling methods, or at low exposures. Short-term exposure to [Formula: see text] , a marker of local traffic, has also been associated with mortality but is less studied. We previously found a...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Environmental Health Perspectives
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6375387/ https://www.ncbi.nlm.nih.gov/pubmed/30235421 http://dx.doi.org/10.1289/EHP2732 |
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author | Schwartz, Joel Fong, Kelvin Zanobetti, Antonella |
author_facet | Schwartz, Joel Fong, Kelvin Zanobetti, Antonella |
author_sort | Schwartz, Joel |
collection | PubMed |
description | BACKGROUND: Studies have long associated [Formula: see text] with daily mortality, but few applied causal-modeling methods, or at low exposures. Short-term exposure to [Formula: see text] , a marker of local traffic, has also been associated with mortality but is less studied. We previously found a causal effect between local air pollution and mortality in Boston. OBJECTIVES: We aimed to estimate the causal effects of local pollution, [Formula: see text] , and [Formula: see text] on mortality in 135 U.S. cities. METHODS: We used three methods which, under different assumptions, provide causal marginal estimates of effect: a marginal structural model, an instrumental variable analysis, and a negative exposure control. The instrumental approach used planetary boundary layer, wind speed, and air pressure as instruments for concentrations of local pollutants; the marginal structural model separated the effects of [Formula: see text] from the effects of [Formula: see text] , and the negative exposure control provided protection against unmeasured confounders. RESULTS: In 7.3 million deaths, the instrumental approach estimated that mortality increased 1.5% [95% confidence interval (CI): 1.1%, 2.0%] per [Formula: see text] increase in local pollution indexed as [Formula: see text]. The negative control exposure was not associated with mortality. Restricting our analysis to days with [Formula: see text] below [Formula: see text] , we found a 1.70% (95% CI 1.11%, 2.29%) increase. With marginal structural models, we found positive significant increases in deaths with both [Formula: see text] and [Formula: see text]. On days with [Formula: see text] below [Formula: see text] , we found a 0.83% (95% CI 0.39%, 1.27%) increase. Including negative exposure controls changed estimates minimally. CONCLUSIONS: Causal-modeling techniques, each subject to different assumptions, demonstrated causal effects of locally generated pollutants on daily deaths with effects at concentrations below the current EPA daily [Formula: see text] standard. https://doi.org/10.1289/EHP2732 |
format | Online Article Text |
id | pubmed-6375387 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Environmental Health Perspectives |
record_format | MEDLINE/PubMed |
spelling | pubmed-63753872019-04-15 A National Multicity Analysis of the Causal Effect of Local Pollution, [Formula: see text] , and [Formula: see text] on Mortality Schwartz, Joel Fong, Kelvin Zanobetti, Antonella Environ Health Perspect Research BACKGROUND: Studies have long associated [Formula: see text] with daily mortality, but few applied causal-modeling methods, or at low exposures. Short-term exposure to [Formula: see text] , a marker of local traffic, has also been associated with mortality but is less studied. We previously found a causal effect between local air pollution and mortality in Boston. OBJECTIVES: We aimed to estimate the causal effects of local pollution, [Formula: see text] , and [Formula: see text] on mortality in 135 U.S. cities. METHODS: We used three methods which, under different assumptions, provide causal marginal estimates of effect: a marginal structural model, an instrumental variable analysis, and a negative exposure control. The instrumental approach used planetary boundary layer, wind speed, and air pressure as instruments for concentrations of local pollutants; the marginal structural model separated the effects of [Formula: see text] from the effects of [Formula: see text] , and the negative exposure control provided protection against unmeasured confounders. RESULTS: In 7.3 million deaths, the instrumental approach estimated that mortality increased 1.5% [95% confidence interval (CI): 1.1%, 2.0%] per [Formula: see text] increase in local pollution indexed as [Formula: see text]. The negative control exposure was not associated with mortality. Restricting our analysis to days with [Formula: see text] below [Formula: see text] , we found a 1.70% (95% CI 1.11%, 2.29%) increase. With marginal structural models, we found positive significant increases in deaths with both [Formula: see text] and [Formula: see text]. On days with [Formula: see text] below [Formula: see text] , we found a 0.83% (95% CI 0.39%, 1.27%) increase. Including negative exposure controls changed estimates minimally. CONCLUSIONS: Causal-modeling techniques, each subject to different assumptions, demonstrated causal effects of locally generated pollutants on daily deaths with effects at concentrations below the current EPA daily [Formula: see text] standard. https://doi.org/10.1289/EHP2732 Environmental Health Perspectives 2018-08-31 /pmc/articles/PMC6375387/ /pubmed/30235421 http://dx.doi.org/10.1289/EHP2732 Text en EHP is an open-access journal published with support from the National Institute of Environmental Health Sciences, National Institutes of Health. All content is public domain unless otherwise noted. |
spellingShingle | Research Schwartz, Joel Fong, Kelvin Zanobetti, Antonella A National Multicity Analysis of the Causal Effect of Local Pollution, [Formula: see text] , and [Formula: see text] on Mortality |
title | A National Multicity Analysis of the Causal Effect of Local Pollution, [Formula: see text] , and [Formula: see text] on Mortality |
title_full | A National Multicity Analysis of the Causal Effect of Local Pollution, [Formula: see text] , and [Formula: see text] on Mortality |
title_fullStr | A National Multicity Analysis of the Causal Effect of Local Pollution, [Formula: see text] , and [Formula: see text] on Mortality |
title_full_unstemmed | A National Multicity Analysis of the Causal Effect of Local Pollution, [Formula: see text] , and [Formula: see text] on Mortality |
title_short | A National Multicity Analysis of the Causal Effect of Local Pollution, [Formula: see text] , and [Formula: see text] on Mortality |
title_sort | national multicity analysis of the causal effect of local pollution, [formula: see text] , and [formula: see text] on mortality |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6375387/ https://www.ncbi.nlm.nih.gov/pubmed/30235421 http://dx.doi.org/10.1289/EHP2732 |
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