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Variability in the association between long-term exposure to ambient air pollution and mortality by exposure assessment method and covariate adjustment: A census-based country-wide cohort study.
Bauwelinck, Mariska Chen, Jie de Hoogh, Kees Katsouyanni, Klea Rodopoulou, Sophia Samoli, Evangelia Andersen, Zorana J Atkinson, Richard Casas, Lidia Deboosere, Patrick
Bauwelinck, Mariska
Chen, Jie
de Hoogh, Kees
Katsouyanni, Klea
Rodopoulou, Sophia
Samoli, Evangelia
Andersen, Zorana J
Atkinson, Richard
Casas, Lidia
Deboosere, Patrick
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Series / Report no.
Open Access
Type
Article
Language
en
Date of publication
2021-09-04
Year of publication
Research Projects
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Journal Issue
Title
Variability in the association between long-term exposure to ambient air pollution and mortality by exposure assessment method and covariate adjustment: A census-based country-wide cohort study.
Translated Title
Published in
Sci Total Environ 2021; 804:150091 advance online publication (ahead of print)
Abstract
We used the Belgian 2001 census linked to population and mortality register including nearly 5.5 million adults aged ≥30 (mean follow-up: 9.97 years). Annual mean concentrations for fine particulate matter (PM2.5), nitrogen dioxide (NO2), black carbon (BC) and ozone (O3) were assessed at baseline residential address using two exposure methods; Europe-wide hybrid land use regression (LUR) models [100x100m], and Belgium-wide interpolation-dispersion (RIO-IFDM) models [25x25m]. We used Cox proportional hazards models with age as the underlying time scale and adjusted for various individual and area-level covariates. We further adjusted main models for two different area-levels following the European Nomenclature of Territorial Units for Statistics (NUTS); NUTS-1 (n = 3), or NUTS-3 (n = 43).