Long-term effect of exposure to lower concentrations of air pollution on mortality among US Medicare participants and vulnerable subgroups: a doubly-robust approach.


Journal

The Lancet. Planetary health
ISSN: 2542-5196
Titre abrégé: Lancet Planet Health
Pays: Netherlands
ID NLM: 101704339

Informations de publication

Date de publication:
10 2021
Historique:
received: 13 02 2021
revised: 08 07 2021
accepted: 15 07 2021
entrez: 10 10 2021
pubmed: 11 10 2021
medline: 22 3 2022
Statut: ppublish

Résumé

Long-term exposure to air pollution has been linked with an increase in risk of mortality. Whether existing US Environmental Protection Agency standards are sufficient to protect health is unclear. Our study aimed to examine the relationship between exposure to lower concentrations of air pollution and the risk of mortality. Our nationwide cohort study investigated the effect of annual average exposure to air pollutants on all-cause mortality among Medicare enrolees from the beginning of 2000 to the end of 2016. Patients entered the cohort in the month of January following enrolment and were followed up until the end of the study period in 2016 or death. We restricted our analyses to participants who had only been exposed to lower concentrations of pollutants over the study period, specifically particulate matter less than 2·5 μg/m We found an increased risk of mortality with all three pollutants. Each 1 μg/m The US Environmental Protection Agency, National Institute of Environmental Health Services, and Health Effects Institute.

Sections du résumé

BACKGROUND
Long-term exposure to air pollution has been linked with an increase in risk of mortality. Whether existing US Environmental Protection Agency standards are sufficient to protect health is unclear. Our study aimed to examine the relationship between exposure to lower concentrations of air pollution and the risk of mortality.
METHODS
Our nationwide cohort study investigated the effect of annual average exposure to air pollutants on all-cause mortality among Medicare enrolees from the beginning of 2000 to the end of 2016. Patients entered the cohort in the month of January following enrolment and were followed up until the end of the study period in 2016 or death. We restricted our analyses to participants who had only been exposed to lower concentrations of pollutants over the study period, specifically particulate matter less than 2·5 μg/m
FINDINGS
We found an increased risk of mortality with all three pollutants. Each 1 μg/m
FUNDING
The US Environmental Protection Agency, National Institute of Environmental Health Services, and Health Effects Institute.

Identifiants

pubmed: 34627473
pii: S2542-5196(21)00204-7
doi: 10.1016/S2542-5196(21)00204-7
pmc: PMC8525655
mid: NIHMS1746889
pii:
doi:

Substances chimiques

Particulate Matter 0

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

e689-e697

Subventions

Organisme : NIEHS NIH HHS
ID : P30 ES000002
Pays : United States
Organisme : NIEHS NIH HHS
ID : P30 ES019776
Pays : United States
Organisme : NIA NIH HHS
ID : R01 AG074357
Pays : United States
Organisme : EPA
ID : R835872
Pays : United States

Informations de copyright

Copyright © 2021 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY-NC-ND 4.0 license. Published by Elsevier Ltd.. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of interests JDS has appeared as an expert witness on behalf of the US Department of Justice in cases involving violations of the Clean Air Act. FD has received consulting and speaking fees from Johnson and Johnson, Colgate, Sanofi, and Visa, but for research topics that are not related to the one of this Article. All other authors declare no competing interests.

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Auteurs

Mahdieh Danesh Yazdi (MD)

Department of Environmental Health, Harvard TH Chan School of Public Health, Boston, MA, USA.

Yan Wang (Y)

Department of Environmental Health, Harvard TH Chan School of Public Health, Boston, MA, USA; Department of Biostatistics, Harvard TH Chan School of Public Health, Boston, MA, USA.

Qian Di (Q)

Department of Environmental Health, Harvard TH Chan School of Public Health, Boston, MA, USA; Department of Epidemiology, Harvard TH Chan School of Public Health, Boston, MA, USA; Vanke School of Public Health, Tsinghua University, Beijing, China.

Weeberb J Requia (WJ)

Department of Environmental Health, Harvard TH Chan School of Public Health, Boston, MA, USA; School of Public Policy and Government, Fundação Getúlio Vargas, Brasília, Brazil.

Yaguang Wei (Y)

Department of Environmental Health, Harvard TH Chan School of Public Health, Boston, MA, USA.

Liuhua Shi (L)

Department of Environmental Health, Harvard TH Chan School of Public Health, Boston, MA, USA; Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA.

Matthew Benjamin Sabath (MB)

Department of Biostatistics, Harvard TH Chan School of Public Health, Boston, MA, USA.

Francesca Dominici (F)

Department of Biostatistics, Harvard TH Chan School of Public Health, Boston, MA, USA.

Brent Coull (B)

Department of Biostatistics, Harvard TH Chan School of Public Health, Boston, MA, USA.

John S Evans (JS)

Department of Environmental Health, Harvard TH Chan School of Public Health, Boston, MA, USA.

Petros Koutrakis (P)

Department of Environmental Health, Harvard TH Chan School of Public Health, Boston, MA, USA.

Joel D Schwartz (JD)

Department of Environmental Health, Harvard TH Chan School of Public Health, Boston, MA, USA; Department of Epidemiology, Harvard TH Chan School of Public Health, Boston, MA, USA. Electronic address: jschwrtz@hsph.harvard.edu.

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Classifications MeSH