Inverse probability weighted distributed lag effects of short-term exposure to PM


Journal

Environmental research
ISSN: 1096-0953
Titre abrégé: Environ Res
Pays: Netherlands
ID NLM: 0147621

Informations de publication

Date de publication:
03 2020
Historique:
received: 20 08 2019
revised: 27 11 2019
accepted: 26 12 2019
pubmed: 14 1 2020
medline: 10 9 2020
entrez: 14 1 2020
Statut: ppublish

Résumé

Although many studies have established significant associations between short-term air pollution and the risk of getting cardiovascular diseases, there is a lack of evidence based on causal distributed lag modeling. Inverse probability weighting (ipw) propensity score models along with conditional logistic outcome regression models based on a case-crossover study design were applied to get the causal unconstrained distributed (lag0-lag5) as well as cumulative lag effect of short-term exposure to PM Each 10 μg/m Based on our causal distributed lag modeling, we found that short-term exposure to an increased ambient PM

Sections du résumé

BACKGROUND
Although many studies have established significant associations between short-term air pollution and the risk of getting cardiovascular diseases, there is a lack of evidence based on causal distributed lag modeling.
METHODS
Inverse probability weighting (ipw) propensity score models along with conditional logistic outcome regression models based on a case-crossover study design were applied to get the causal unconstrained distributed (lag0-lag5) as well as cumulative lag effect of short-term exposure to PM
RESULTS
Each 10 μg/m
CONCLUSIONS
Based on our causal distributed lag modeling, we found that short-term exposure to an increased ambient PM

Identifiants

pubmed: 31927244
pii: S0013-9351(19)30891-6
doi: 10.1016/j.envres.2019.109095
pmc: PMC7024653
mid: NIHMS1548800
pii:
doi:

Substances chimiques

Air Pollutants 0
Particulate Matter 0
Ozone 66H7ZZK23N

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

109095

Subventions

Organisme : NIEHS NIH HHS
ID : P30 ES000002
Pays : United States
Organisme : NIEHS NIH HHS
ID : R01 ES024332
Pays : United States
Organisme : EPA
ID : R835872
Pays : United States

Informations de copyright

Copyright © 2020 Elsevier Inc. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest None declared.

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Auteurs

Xinye Qiu (X)

Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA. Electronic address: xqiu@g.harvard.edu.

Yaguang Wei (Y)

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

Yan Wang (Y)

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

Qian Di (Q)

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

Tamar Sofer (T)

Division of Sleep and Circadian Disorder, Brigham & Women's Hospital, 221 Longwood Avenue, Boston, MA, USA; Harvard Medical School, Boston, MA, USA.

Yara Abu Awad (YA)

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

Joel Schwartz (J)

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

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Classifications MeSH