Long-term exposure to black carbon and mortality: A 28-year follow-up of the GAZEL cohort.


Journal

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

Informations de publication

Date de publication:
12 2021
Historique:
received: 01 04 2021
revised: 21 06 2021
accepted: 27 07 2021
pubmed: 11 8 2021
medline: 21 10 2021
entrez: 10 8 2021
Statut: ppublish

Résumé

The current evidence on health effects of long-term exposure to outdoor airborne black carbon (BC) exposure remains scarce. To examine the association between long-term exposure to BC and mortality in a large population-based French cohort, with 28 years of follow-up. Data from the GAZEL cohort were collected between 1989 and 2017. Land use regression model with temporal extrapolation wa used to estimate yearly BC and PM The median of 20-year moving average of BC exposure was 2.02 10 There was a positive association between long-term exposure to BC and increased mortality risk, reinforcing the emerging evidence that BC is a harmful component of PM

Sections du résumé

BACKGROUND
The current evidence on health effects of long-term exposure to outdoor airborne black carbon (BC) exposure remains scarce.
OBJECTIVES
To examine the association between long-term exposure to BC and mortality in a large population-based French cohort, with 28 years of follow-up.
METHODS
Data from the GAZEL cohort were collected between 1989 and 2017. Land use regression model with temporal extrapolation wa used to estimate yearly BC and PM
RESULTS
The median of 20-year moving average of BC exposure was 2.02 10
CONCLUSIONS
There was a positive association between long-term exposure to BC and increased mortality risk, reinforcing the emerging evidence that BC is a harmful component of PM

Identifiants

pubmed: 34375941
pii: S0160-4120(21)00430-X
doi: 10.1016/j.envint.2021.106805
pii:
doi:

Substances chimiques

Air Pollutants 0
Particulate Matter 0
Carbon 7440-44-0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

106805

Informations de copyright

Copyright © 2021 The Authors. Published by Elsevier Ltd.. All rights reserved.

Auteurs

Jun Yang (J)

Univ. Rennes, Inserm, EHESP, Irset (Institut de recherche en santé, environnement et travail) - UMR_S 1085, F-35000 Rennes, France; Institute for Environmental and Climate Research, Jinan University, Guangzhou 511443, China.

Mohammad Javad Zare Sakhvidi (MJZ)

Univ. Rennes, Inserm, EHESP, Irset (Institut de recherche en santé, environnement et travail) - UMR_S 1085, F-35000 Rennes, France.

Kees de Hoogh (K)

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

Danielle Vienneau (D)

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

Jack Siemiatyck (J)

CRCHUM (Centre de recherche du CHUM), Montréal, Québec, Canada.

Marie Zins (M)

Université de Paris, Unité "Cohortes en Population" INSERM, Université Paris Saclay, UVSQ, UMS 011 Paris, France.

Marcel Goldberg (M)

Université de Paris, Unité "Cohortes en Population" INSERM, Université Paris Saclay, UVSQ, UMS 011 Paris, France.

Jie Chen (J)

Institute for Risk Assessment Sciences, Utrecht University, the Netherlands.

Emeline Lequy (E)

CRCHUM (Centre de recherche du CHUM), Montréal, Québec, Canada; Université de Paris, Unité "Cohortes en Population" INSERM, Université Paris Saclay, UVSQ, UMS 011 Paris, France.

Bénédicte Jacquemin (B)

Univ. Rennes, Inserm, EHESP, Irset (Institut de recherche en santé, environnement et travail) - UMR_S 1085, F-35000 Rennes, France. Electronic address: benedicte.jacquemin@inserm.fr.

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Classifications MeSH