Long-term exposure to traffic-related air pollution and non-accidental mortality: A systematic review and meta-analysis.


Journal

Environment international
ISSN: 1873-6750
Titre abrégé: Environ Int
Pays: Netherlands
ID NLM: 7807270

Informations de publication

Date de publication:
06 2023
Historique:
received: 23 08 2022
revised: 01 04 2023
accepted: 02 04 2023
medline: 6 6 2023
pubmed: 22 5 2023
entrez: 21 5 2023
Statut: ppublish

Résumé

The health effects of traffic-related air pollution (TRAP) continue to be of important public health interest across the globe. Following its 2010 review, the Health Effects Institute appointed a new expert Panel to systematically evaluate the epidemiological evidence regarding the associations between long-term exposure to TRAP and selected health outcomes. This paper describes the main findings of the systematic review on non-accidental mortality. The Panel used a systematic approach to conduct the review. An extensive search was conducted of literature published between 1980 and 2019. A new exposure framework was developed to determine whether a study was sufficiently specific to TRAP, which included studies beyond the near-roadway environment. We performed random-effects meta-analysis when at least three estimates were available of an association between a specific exposure and outcome. We evaluated confidence in the evidence using a modified Office of Health Assessment and Translation (OHAT) approach, supplemented with a broader narrative synthesis. Thirty-six cohort studies were included. Virtually all studies adjusted for a large number of individual and area-level covariates-including smoking, body mass index, and individual and area-level socioeconomic status-and were judged at a low or moderate risk for bias. Most studies were conducted in North America and Europe, and a few were based in Asia and Australia. The meta-analytic summary estimates for nitrogen dioxide, elemental carbon and fine particulate matter-pollutants with more than 10 studies-were 1.04 (95% CI 1.01, 1.06), 1.02 (1.00, 1.04) and 1.03 (1.01, 1.05) per 10, 1 and 5 µg/m The overall confidence in the evidence for a positive association between long-term exposure to TRAP and non-accidental mortality was high.

Sections du résumé

BACKGROUND
The health effects of traffic-related air pollution (TRAP) continue to be of important public health interest across the globe. Following its 2010 review, the Health Effects Institute appointed a new expert Panel to systematically evaluate the epidemiological evidence regarding the associations between long-term exposure to TRAP and selected health outcomes. This paper describes the main findings of the systematic review on non-accidental mortality.
METHODS
The Panel used a systematic approach to conduct the review. An extensive search was conducted of literature published between 1980 and 2019. A new exposure framework was developed to determine whether a study was sufficiently specific to TRAP, which included studies beyond the near-roadway environment. We performed random-effects meta-analysis when at least three estimates were available of an association between a specific exposure and outcome. We evaluated confidence in the evidence using a modified Office of Health Assessment and Translation (OHAT) approach, supplemented with a broader narrative synthesis.
RESULTS
Thirty-six cohort studies were included. Virtually all studies adjusted for a large number of individual and area-level covariates-including smoking, body mass index, and individual and area-level socioeconomic status-and were judged at a low or moderate risk for bias. Most studies were conducted in North America and Europe, and a few were based in Asia and Australia. The meta-analytic summary estimates for nitrogen dioxide, elemental carbon and fine particulate matter-pollutants with more than 10 studies-were 1.04 (95% CI 1.01, 1.06), 1.02 (1.00, 1.04) and 1.03 (1.01, 1.05) per 10, 1 and 5 µg/m
CONCLUSIONS
The overall confidence in the evidence for a positive association between long-term exposure to TRAP and non-accidental mortality was high.

Identifiants

pubmed: 37210806
pii: S0160-4120(23)00189-7
doi: 10.1016/j.envint.2023.107916
pii:
doi:

Substances chimiques

Air Pollutants 0
Particulate Matter 0
Environmental Pollutants 0

Types de publication

Meta-Analysis Systematic Review Journal Article Research Support, U.S. Gov't, P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Pagination

107916

Informations de copyright

Copyright © 2023 The Author(s). Published by Elsevier Ltd.. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

H Boogaard (H)

Health Effects Institute, Boston, MA, United States. Electronic address: jboogaard@healtheffects.org.

E Samoli (E)

Department of Hygiene, Epidemiology and Medical Statistics, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece.

A P Patton (AP)

Health Effects Institute, Boston, MA, United States.

R W Atkinson (RW)

Population Health Research Institute, St. George's University of London, United Kingdom.

J R Brook (JR)

Occupational and Environmental Health Division, Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada.

H H Chang (HH)

Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, GA, United States.

B Hoffmann (B)

Institute for Occupational, Social and Environmental Medicine, Centre for Health and Society, Medical Faculty, University of Düsseldorf, Düsseldorf, Germany.

M Kutlar Joss (M)

Institute for Occupational, Social and Environmental Medicine, Centre for Health and Society, Medical Faculty, University of Düsseldorf, Düsseldorf, Germany; Swiss Tropical and Public Health Institute, Allschwill, Switzerland; University of Basel, Switzerland.

S K Sagiv (SK)

Center for Environmental Research and Children's Health, Division of Epidemiology, University of California Berkeley School of Public Health, Berkeley, CA, United States.

A Smargiassi (A)

Department of Environmental and Occupational Health, School of Public Health, University of Montreal, QC, Canada.

A A Szpiro (AA)

Department of Biostatistics, University of Washington, Seattle, WA, United States.

D Vienneau (D)

Swiss Tropical and Public Health Institute, Allschwill, Switzerland; University of Basel, Switzerland.

J Weuve (J)

Department of Epidemiology, Boston University School of Public Health, Boston, MA, United States.

F W Lurmann (FW)

Sonoma Technology, Inc., Petaluma, CA, United States.

F Forastiere (F)

Environmental Research Group, School of Public Health, Imperial College, London, United Kingdom.

G Hoek (G)

Institute for Risk Assessment Sciences, Environmental Epidemiology, Utrecht University, Netherlands.

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Classifications MeSH