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Land use regression models for the oxidative potential of fine particles (PM2.5) in five European areas

Gulliver, John and Morley, David and Dunster, Chrissi and McCrea, Adrienne and van Nunen, Erik and Tsai, Ming-Yi and Probst-Hensch, Nicoltae and Eeftens, Marloes and Imboden, Medea and Ducret-Stich, Regina and Naccarati, Alessio and Galassi, Claudia and Ranzi, Andrea and Nieuwenhuijsen, Mark and Curto, Ariadna and Donaire-Gonzalez, David and Cirach, Marta and Vermeulen, Roel and Vineis, Paolo and Hoek, Gerard and Kelly, Frank J.. (2018) Land use regression models for the oxidative potential of fine particles (PM2.5) in five European areas. Environmental research, 160. pp. 247-255.

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Official URL: https://edoc.unibas.ch/63151/

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Abstract

Oxidative potential (OP) of particulate matter (PM) is proposed as a biologically-relevant exposure metric for studies of air pollution and health. We aimed to evaluate the spatial variability of the OP of measured PM2.5 using ascorbate (AA) and (reduced) glutathione (GSH), and develop land use regression (LUR) models to explain this spatial variability. We estimated annual average values (m-3) of OPAA and OPGSH for five areas (Basel, CH; Catalonia, ES; London-Oxford, UK (no OPGSH); the Netherlands; and Turin, IT) using PM2.5 filters. OPAA and OPGSH LUR models were developed using all monitoring sites, separately for each area and combined-areas. The same variables were then used in repeated sub-sampling of monitoring sites to test sensitivity of variable selection; new variables were offered where variables were excluded (p > .1). On average, measurements of OPAA and OPGSH were moderately correlated (maximum Pearson's maximum Pearson's R = = .7) with PM2.5 and other metrics (PM2.5absorbance, NO2, Cu, Fe). HOV (hold-out validation) R2 for OPAA models was .21, .58, .45, .53, and .13 for Basel, Catalonia, London-Oxford, the Netherlands and Turin respectively. For OPGSH, the only model achieving at least moderate performance was for the Netherlands (R2 = .31). Combined models for OPAA and OPGSH were largely explained by study area with weak local predictors of intra-area contrasts; we therefore do not endorse them for use in epidemiologic studies. Given the moderate correlation of OPAA with other pollutants, the three reasonably performing LUR models for OPAA could be used independently of other pollutant metrics in epidemiological studies.
Faculties and Departments:09 Associated Institutions > Swiss Tropical and Public Health Institute (Swiss TPH) > Department of Epidemiology and Public Health (EPH) > Chronic Disease Epidemiology > Genetic Epidemiology of Non-Communicable Diseases (Probst-Hensch)
03 Faculty of Medicine > Departement Public Health > Sozial- und Präventivmedizin > Genetic Epidemiology of Non-Communicable Diseases (Probst-Hensch)
09 Associated Institutions > Swiss Tropical and Public Health Institute (Swiss TPH)
09 Associated Institutions > Swiss Tropical and Public Health Institute (Swiss TPH) > Department of Epidemiology and Public Health (EPH) > Environmental Exposures and Health > Physical Hazards and Health (Röösli)
UniBasel Contributors:Tsai, Ming-Yi and Probst-Hensch, Nicole and Eeftens, Marloes and Imboden, Medea and Ducret-Stich, Regina
Item Type:Article, refereed
Article Subtype:Research Article
Publisher:Elsevier
ISSN:0013-9351
Note:Publication type according to Uni Basel Research Database: Journal article
Identification Number:
Last Modified:02 Jul 2018 13:28
Deposited On:02 Jul 2018 13:28

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