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Land use regression models for the oxidative potential of fine particles (PM2.5) in five European areas
Gulliver, John Morley, David Dunster, Chrissi McCrea, Adrienne van Nunen, Erik Tsai, Ming-Yi Probst-Hensch, Nicole Eeftens, Marloes Imboden, Medea Ducret-Stich, Regina
Gulliver, John
Morley, David
Dunster, Chrissi
McCrea, Adrienne
van Nunen, Erik
Tsai, Ming-Yi
Probst-Hensch, Nicole
Eeftens, Marloes
Imboden, Medea
Ducret-Stich, Regina
Author
Gulliver, John
Morley, David
Dunster, Chrissi
McCrea, Adrienne
van Nunen, Erik
Tsai, Ming-Yi
Probst-Hensch, Nicole
Eeftens, Marloes
Imboden, Medea
Ducret-Stich, Regina
Naccarati, Alessio
Galassi, Claudia
Ranzi, Andrea
Nieuwenhuijsen, Mark
Curto, A.
Donaire-Gonzalez, D.
Cirach, Marta
Vermeulen, Roel
Vineis, Paolo
Hoek, Gerard
Kelly, Frank J.
Morley, David
Dunster, Chrissi
McCrea, Adrienne
van Nunen, Erik
Tsai, Ming-Yi
Probst-Hensch, Nicole
Eeftens, Marloes
Imboden, Medea
Ducret-Stich, Regina
Naccarati, Alessio
Galassi, Claudia
Ranzi, Andrea
Nieuwenhuijsen, Mark
Curto, A.
Donaire-Gonzalez, D.
Cirach, Marta
Vermeulen, Roel
Vineis, Paolo
Hoek, Gerard
Kelly, Frank J.
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.
Keywords
Oxidative potential, Land use regression, LUR, Spatial variability, Exposure assessment, Air pollution
Date
2018
Type
Journal article
Journal
Environmental Research
Book
Volume
160
Issue
Page Range
247-255
Article Number
ACU Department
Mary MacKillop Institute for Health Research
Faculty of Health Sciences
Faculty of Health Sciences
Collections
Relation URI
Source URL
Event URL
Open Access Status
License
File Access
Controlled