Exposure to PM 2.5 was determined at all residential baseline addresses
for cohort participants living in Greater Copenhagen, using a
land-use regression model, as part of the ESCAPE study (Eeftens et al.,
2012). Briefly, a three-step procedure was used. First, PM2.5 was measured
during different seasons at different locations in the study area.
Second, a land-use regression model was developed for PM2.5, with
the yearlymean concentration as the dependent variable and an extensive
list of geographical attributes as possible predictors, such as road
network and population density. Finally, the model was used to assess
exposure at the baseline address of each cohort member.