Components of particulate matter air-pollution and brain tumors.


Journal

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

Informations de publication

Date de publication:
11 2020
Historique:
received: 11 11 2019
revised: 05 08 2020
accepted: 06 08 2020
pubmed: 29 8 2020
medline: 12 1 2021
entrez: 29 8 2020
Statut: ppublish

Résumé

Air pollution is an established carcinogen. Evidence for an association with brain tumors is, however, inconclusive. We investigated if individual particulate matter constituents were associated with brain tumor risk. From comprehensive national registers, we identified all (n = 12 928) brain tumor cases, diagnosed in Denmark in the period 1989-2014, and selected 22 961 controls, matched on age, sex and year of birth. We established address histories and estimated 10-year mean residential outdoor concentrations of particulate matter < 2.5 µm, primarily emitted black carbon (BC) and organic carbon (OC), and combined carbon (OC/BC), as well as secondary inorganic and organic PM air pollutants from a detailed dispersion model. We used conditional logistic regression to calculate odds ratios (OR) per inter quartile range (IQR) exposure. We adjusted for income, marital and employment status as well as area-level socio-demographic characteristics. Total tumors of the brain were associated with OC/BC (OR: 1.053, 95%CI: 1.005-1.103, per IQR). The data suggested strongest associations for malignant tumors with ORs per IQR for OC/BC, BC and OC of 1.063 (95% CI: 1.007-1.123), 1.036 (95% CI: 1.006-1.067) and 1.030 (95%CI: 0.979-1.085), respectively. The results did not indicate adverse effects of other PM components. This large, population based study showed associations between primary emitted carbonaceous particles and risk for malignant brain tumors. As the first of its kind, this study needs replication.

Sections du résumé

BACKGROUND
Air pollution is an established carcinogen. Evidence for an association with brain tumors is, however, inconclusive. We investigated if individual particulate matter constituents were associated with brain tumor risk.
METHODS
From comprehensive national registers, we identified all (n = 12 928) brain tumor cases, diagnosed in Denmark in the period 1989-2014, and selected 22 961 controls, matched on age, sex and year of birth. We established address histories and estimated 10-year mean residential outdoor concentrations of particulate matter < 2.5 µm, primarily emitted black carbon (BC) and organic carbon (OC), and combined carbon (OC/BC), as well as secondary inorganic and organic PM air pollutants from a detailed dispersion model. We used conditional logistic regression to calculate odds ratios (OR) per inter quartile range (IQR) exposure. We adjusted for income, marital and employment status as well as area-level socio-demographic characteristics.
RESULTS
Total tumors of the brain were associated with OC/BC (OR: 1.053, 95%CI: 1.005-1.103, per IQR). The data suggested strongest associations for malignant tumors with ORs per IQR for OC/BC, BC and OC of 1.063 (95% CI: 1.007-1.123), 1.036 (95% CI: 1.006-1.067) and 1.030 (95%CI: 0.979-1.085), respectively. The results did not indicate adverse effects of other PM components.
CONCLUSIONS
This large, population based study showed associations between primary emitted carbonaceous particles and risk for malignant brain tumors. As the first of its kind, this study needs replication.

Identifiants

pubmed: 32858469
pii: S0160-4120(20)32001-8
doi: 10.1016/j.envint.2020.106046
pii:
doi:

Substances chimiques

Air Pollutants 0
Particulate Matter 0

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

106046

Informations de copyright

Copyright © 2020. Published by Elsevier Ltd.

Auteurs

Aslak Harbo Poulsen (A)

Danish Cancer Society Research Center, Copenhagen, Denmark. Electronic address: Aslak@Cancer.DK.

Ulla Arthur Hvidtfeldt (U)

Danish Cancer Society Research Center, Copenhagen, Denmark.

Mette Sørensen (M)

Danish Cancer Society Research Center, Copenhagen, Denmark; Department of Natural Science and Environment, Roskilde University, Roskilde, Denmark.

Robin Puett (R)

Danish Cancer Society Research Center, Copenhagen, Denmark; Maryland Institute for Applied Environmental Health, University of Maryland School of Public Health, MD, USA.

Matthias Ketzel (M)

Department of Environmental Science, Aarhus University, Roskilde, Denmark; Global Centre for Clean Air Research (GCARE) Department of Civil and Environmental Engineering University of Surrey, Guildford, United Kingdom.

Jørgen Brandt (J)

Department of Environmental Science, Aarhus University, Roskilde, Denmark.

Jesper H Christensen (JH)

Department of Environmental Science, Aarhus University, Roskilde, Denmark.

Camilla Geels (C)

Department of Environmental Science, Aarhus University, Roskilde, Denmark.

Ole Raaschou-Nielsen (O)

Danish Cancer Society Research Center, Copenhagen, Denmark; Department of Environmental Science, Aarhus University, Roskilde, Denmark.

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Classifications MeSH