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Distributed Lag Analyses of Daily Hospital Admissions and Source-Apportioned Fine Particle Air Pollution

BACKGROUND: Past time-series studies of the health effects of fine particulate matter [aerodynamic diameter ≤ 2.5 μm (PM(2.5))] have used chemically nonspecific PM(2.5) mass. However, PM(2.5) is known to vary in chemical composition with source, and health impacts may vary accordingly. OBJECTIVE: We...

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Autores principales: Lall, Ramona, Ito, Kazuhiko, Thurston, George D.
Formato: Texto
Lenguaje:English
Publicado: National Institute of Environmental Health Sciences 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3080925/
https://www.ncbi.nlm.nih.gov/pubmed/21172759
http://dx.doi.org/10.1289/ehp.1002638
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author Lall, Ramona
Ito, Kazuhiko
Thurston, George D.
author_facet Lall, Ramona
Ito, Kazuhiko
Thurston, George D.
author_sort Lall, Ramona
collection PubMed
description BACKGROUND: Past time-series studies of the health effects of fine particulate matter [aerodynamic diameter ≤ 2.5 μm (PM(2.5))] have used chemically nonspecific PM(2.5) mass. However, PM(2.5) is known to vary in chemical composition with source, and health impacts may vary accordingly. OBJECTIVE: We tested the association between source-specific daily PM(2.5) mass and hospital admissions in a time-series investigation that considered both single-lag and distributed-lag models. METHODS: Daily PM(2.5) speciation measurements collected in midtown Manhattan were analyzed via positive matrix factorization source apportionment. Daily and distributed-lag generalized linear models of Medicare respiratory and cardiovascular hospital admissions during 2001–2002 considered PM(2.5) mass and PM(2.5) from five sources: transported sulfate, residual oil, traffic, steel metal works, and soil. RESULTS: Source-related PM(2.5) (specifically steel and traffic) was significantly associated with hospital admissions but not with total PM(2.5) mass. Steel metal works–related PM(2.5) was associated with respiratory admissions for multiple-lag days, especially during the cleanup efforts at the World Trade Center. Traffic-related PM(2.5) was consistently associated with same-day cardiovascular admissions across disease-specific subcategories. PM(2.5) constituents associated with each source (e.g., elemental carbon with traffic) were likewise associated with admissions in a consistent manner. Mean effects of distributed-lag models were significantly greater than were maximum single-day effect models for both steel- and traffic-related PM(2.5). CONCLUSIONS: Past analyses that have considered only PM(2.5) mass or only maximum single-day lag effects have likely underestimated PM(2.5) health effects by not considering source-specific and distributed-lag effects. Differing lag structures and disease specificity observed for steel-related versus traffic-related PM(2.5) raise the possibility of distinct mechanistic pathways of health effects for particles of differing chemical composition.
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spelling pubmed-30809252011-05-03 Distributed Lag Analyses of Daily Hospital Admissions and Source-Apportioned Fine Particle Air Pollution Lall, Ramona Ito, Kazuhiko Thurston, George D. Environ Health Perspect Research BACKGROUND: Past time-series studies of the health effects of fine particulate matter [aerodynamic diameter ≤ 2.5 μm (PM(2.5))] have used chemically nonspecific PM(2.5) mass. However, PM(2.5) is known to vary in chemical composition with source, and health impacts may vary accordingly. OBJECTIVE: We tested the association between source-specific daily PM(2.5) mass and hospital admissions in a time-series investigation that considered both single-lag and distributed-lag models. METHODS: Daily PM(2.5) speciation measurements collected in midtown Manhattan were analyzed via positive matrix factorization source apportionment. Daily and distributed-lag generalized linear models of Medicare respiratory and cardiovascular hospital admissions during 2001–2002 considered PM(2.5) mass and PM(2.5) from five sources: transported sulfate, residual oil, traffic, steel metal works, and soil. RESULTS: Source-related PM(2.5) (specifically steel and traffic) was significantly associated with hospital admissions but not with total PM(2.5) mass. Steel metal works–related PM(2.5) was associated with respiratory admissions for multiple-lag days, especially during the cleanup efforts at the World Trade Center. Traffic-related PM(2.5) was consistently associated with same-day cardiovascular admissions across disease-specific subcategories. PM(2.5) constituents associated with each source (e.g., elemental carbon with traffic) were likewise associated with admissions in a consistent manner. Mean effects of distributed-lag models were significantly greater than were maximum single-day effect models for both steel- and traffic-related PM(2.5). CONCLUSIONS: Past analyses that have considered only PM(2.5) mass or only maximum single-day lag effects have likely underestimated PM(2.5) health effects by not considering source-specific and distributed-lag effects. Differing lag structures and disease specificity observed for steel-related versus traffic-related PM(2.5) raise the possibility of distinct mechanistic pathways of health effects for particles of differing chemical composition. National Institute of Environmental Health Sciences 2011-04 2010-12-20 /pmc/articles/PMC3080925/ /pubmed/21172759 http://dx.doi.org/10.1289/ehp.1002638 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
Lall, Ramona
Ito, Kazuhiko
Thurston, George D.
Distributed Lag Analyses of Daily Hospital Admissions and Source-Apportioned Fine Particle Air Pollution
title Distributed Lag Analyses of Daily Hospital Admissions and Source-Apportioned Fine Particle Air Pollution
title_full Distributed Lag Analyses of Daily Hospital Admissions and Source-Apportioned Fine Particle Air Pollution
title_fullStr Distributed Lag Analyses of Daily Hospital Admissions and Source-Apportioned Fine Particle Air Pollution
title_full_unstemmed Distributed Lag Analyses of Daily Hospital Admissions and Source-Apportioned Fine Particle Air Pollution
title_short Distributed Lag Analyses of Daily Hospital Admissions and Source-Apportioned Fine Particle Air Pollution
title_sort distributed lag analyses of daily hospital admissions and source-apportioned fine particle air pollution
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3080925/
https://www.ncbi.nlm.nih.gov/pubmed/21172759
http://dx.doi.org/10.1289/ehp.1002638
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