Time-series studies on the association between daily mortality and air poll
ution levels have been criticized because they use background air pollution
measurement sites to estimate exposure of the whole population, including
those living along busy roads. To evaluate whether the exposure of people l
iving along busy roads is estimated with error, we calculated separate effe
ct estimates with separate exposure estimates using background and traffic-
influenced measurement stations. We used Poisson regression analysis with g
eneralized additive models to correct for long-term trends, influenza, ambi
ent temperature and relative humidity, and day of the week. Black smoke and
nitrogen dioxide were associated with mortality (relative risk of 1.38 and
1.10, respectively, for an increase of 100 mug/m(3) on the previous day).
Effect estimates were larger in the summer and in the population living alo
ng busy roads. Effect estimates were also larger using background stations
rather than traffic stations. Overall, we found differences in the associat
ion between mortality and air pollution using different methods of exposure
assessment; these differences are attributable to exposure misclassificati
on for populations living along busy roads.