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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...

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Autores principales: Schwartz, Joel, Fong, Kelvin, Zanobetti, Antonella
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Environmental Health Perspectives 2018
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
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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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