Gudrun Weinmayr1,2, Frauke Hennig3, Kateryna Fuks3, Michael Nonnemacher4, Hermann Jakobs5, Stefan Möhlenkamp6, Raimund Erbel6, Karl-Heinz Jöckel4, Barbara Hoffmann3,7, Susanne Moebus4. 1. IUF - Leibniz Research Institute for Environmental Medicine, Düsseldorf, Germany. gudrun.weinmayr@uni-duesseldorf.de. 2. Medical School, Heinrich Heine University of Düsseldorf, Düsseldorf, Germany. gudrun.weinmayr@uni-duesseldorf.de. 3. IUF - Leibniz Research Institute for Environmental Medicine, Düsseldorf, Germany. 4. Institute for Medical Informatics, Biometry and Epidemiology, University Hospital of Essen, University of Duisburg-Essen, Essen, Germany. 5. Rhenish Institute for Environmental Research at the University of Cologne, Cologne, Germany. 6. Department of Cardiology, West German Heart Centre of Essen, University of Duisburg-Essen, Essen, Germany. 7. Medical School, Heinrich Heine University of Düsseldorf, Düsseldorf, Germany.
Unfortunately, the original version of this article [1] contained an error. The paragraph of the results starting with “The relative risks…” contained errors in the reported effect estimates and confidence intervals.The paragraph read:The relative risks from the unadjusted crude model and for the main model are shown in Table 2. When expressing RRs per IQR, exposure to total PM10 was related to an increase in type 2 diabetes incidence of 20 % (RR of 1.20, 95 %-CI: 1.01;1.31) in the main model. The corresponding RR for PM2.5 was 1.11 (95 %-CI: 0.99;1.23). For traffic-specific PM, the estimates for this measure of population distribution of exposures were similar with a RR of 1.11 (95 %-CI: 0.99;1.17) for PM10TRA and a RR of 1.10 (0.99;1.23) for PM2.5TRA.But it should have read:The relative risks from the unadjusted crude model and for the main model are shown in Table 2. When expressing RRs per IQR, exposure to total PM10 was related to an increase in type 2 diabetes incidence of 20 % (RR of 1.20, 95 %-CI: 1.01;1.42) in the main model. The corresponding RR for PM2.5 was 1.08 (95 %-CI: 0.89;1.29). For traffic- specific PM, the estimates for this measure of population distribution of exposures were similar with a RR of 1.11 (95 %-CI: 0.99;1.23) for PM10TRA and a RR of 1.10 (0.99;1.23) for PM2.5TRA.
Authors: Gudrun Weinmayr; Frauke Hennig; Kateryna Fuks; Michael Nonnemacher; Hermann Jakobs; Stefan Möhlenkamp; Raimund Erbel; Karl-Heinz Jöckel; Barbara Hoffmann; Susanne Moebus Journal: Environ Health Date: 2015-06-19 Impact factor: 5.984