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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 | Authors: | Bauwelinck, Mariska Chen, Jie de Hoogh, Kees Katsouyanni, Klea Rodopoulou, Sophia Samoli, Evangelia Andersen, Zorana J. Atkinson, Richard CASAS RUIZ, Lidia Deboosere, Patrick Demoury, Claire Janssen, Nicole Klompmaker, Jochem O. Lefebvre, Wouter Mehta, Amar Jayant NAWROT, Tim Oftedal, Bente Renzi, Matteo Stafoggia, Massimo Strak, Maciek Vandenheede, Hadewijch Vanpoucke, Charlotte Van Nieuwenhuyse, An Vienneau, Danielle Brunekreef, Bert Hoek, Gerard |
Issue Date: | 2022 | Publisher: | ELSEVIER | Source: | SCIENCE OF THE TOTAL ENVIRONMENT, 804 , (Art N° 150091) | Abstract: | Background: Ambient air pollution exposure has been associated with higher mortality risk in numerous studies. We assessed potential variability in the magnitude of this association for non-accidental, cardiovascular disease, respiratory disease, and lung cancer mortality in a country-wide administrative cohort by exposure assessment method and by adjustment for geographic subdivisions. Methods: 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 (O-3) 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). Results: We found no consistent differences between both exposure methods. We observed most robust associations with lung cancer mortality. Hazard Ratios (HRs) per 10 mu g/m(3) increase for NO2 were 1.060 (95%CI 1.0421.078) [hybrid LUR] and 1.040 (95%CI 1.022-1.058) [RIO-IFDM]. Associations with non-accidental, respiratory disease and cardiovascular disease mortality were generally null in main models but were enhanced after further adjustment for NUTS-1 or NUTS-3. HRs for non-accidental mortality per 5 mu g/m(3) increase for PM2.5 for the main model using hybrid LUR exposure were 1.023 (95%CI 1.011-1.035). After including random effects HRs were 1.044 (95%CI 1.033-1.057) [NUTS-1] and 1.076 (95%CI 1.060-1.092) [NUTS-3]. Conclusion: Long-term air pollution exposure was associated with higher lung cancer mortality risk but not consistently with the other studied causes. Magnitude of associations varied by adjustment for geographic subdivisions, area-level socio-economic covariates and less by exposure assessment method. (C) 2021 Published by Elsevier B.V. | Notes: | Bauwelinck, M (corresponding author), Vrije Univ Brussel, Interface Demog, Pl Laan 5, B-1050 Brussels, Belgium. mariska.bauwelinck@vub.be; j.chen1@uu.nl; c.dehoogh@swisstph.ch; kkatsouy@med.uoa.gr; srodopoyl@med.uoa.gr; esamoli@med.uoa.gr; vlq961@sund.ku.dk; atkinson@sgul.ac.uk; Lidia.CasasRuiz@uantwerpen.be; patrick.deboosere@vub.be; Claire.Demoury@sciensano.be; nicole.janssen@rivm.nl; jklompmaker@hsph.harvard.edu; wouter.lefebvre@vito.be; amar.mehta@sund.ku.dk; tim.nawrot@uhasselt.be; BenteMargaret.Oftedal@fhi.no; m.renzi@deplazio.it; m.stafoggia@deplazio.it; maciek.strak@rivm.nl; hadewijch.vandenheede@vub.be; vanpoucke@irceline.be; An.vanNieuwenhuyse@lns.etat.lu; danielle.vienneau@swisstph.ch; B.Brunekreef@uu.nl; g.hoek@uu.nl |
Keywords: | Population-based; Environmental hazard; Exposure assessment; Survival;analysis; Health effects; Cause-specific mortality | Document URI: | http://hdl.handle.net/1942/35936 | ISSN: | 0048-9697 | e-ISSN: | 1879-1026 | DOI: | 10.1016/j.scitotenv.2021.150091 | ISI #: | WOS:000704366300015 | Category: | A1 | Type: | Journal Contribution | Validations: | ecoom 2023 |
Appears in Collections: | Research publications |
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09062021_revision_paper_ELAPSE_adminBE.pdf | Peer-reviewed author version | 246.05 kB | Adobe PDF | View/Open |
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