Ntarladima, Anna-MariaKarssenberg, DerekVaartjes, IloncaGrobbee, Diederick ESchmitz, OliverLu, MengBoer, JolandaKoppelman, GerardVonk, JudithVermeulen, RoelHoek, GerardGehring, Ulrike2021-08-022021-08-022021-07-163428042010.1016/j.envres.2021.111710http://hdl.handle.net/10029/625181We compared four annual average air pollution exposure assessment methodologies; two rely on residential exposures only, the other two incorporate estimated time activity patterns. The time-activity patterns were based on assumptions about the activity space and make use of available external data sources for the duration of each activity. Mapping of multiple air pollutants (NO2, NOX, PM2.5, PM2.5absorbance, PM10) at a fine resolution as input to exposure assessment was based on land use regression modelling. First, we assessed the correlations between the exposures from the four exposure methods. Second, we compared estimates of the cross-sectional associations between air pollution exposures and lung function at age 8 within the PIAMA birth cohort study for the four exposure assessment methodologies.enCopyright © 2021 The Authors. Published by Elsevier Inc. All rights reserved.Activity patternsAir pollutionExposure assessmentLung functionA comparison of associations with childhood lung function between air pollution exposure assessment methods with and without accounting for time-activity patterns.Article1096-0953Environ Res 2021; 202:111710