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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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Detalles Bibliográficos
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
Descripción
Sumario: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