Lung Cancer Incidence and Long-Term Exposure to Air Pollution from Traffic
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Lung Cancer Incidence and Long-Term Exposure to Air Pollution from Traffic. / Raaschou-Nielsen, Ole Lundsgaard; Andersen, Zorana Jovanovic; Hvidberg, Martin; Jensen, Steen Solvang; Ketzel, Matthias; S�rensen, Mette; Loft, Steffen; Overvad, Kim; Tj�nneland, Anne.
I: Environmental Health Perspectives, Bind 119, Nr. 6, 2011, s. 860-865.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
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TY - JOUR
T1 - Lung Cancer Incidence and Long-Term Exposure to Air Pollution from Traffic
AU - Raaschou-Nielsen, Ole Lundsgaard
AU - Andersen, Zorana Jovanovic
AU - Hvidberg, Martin
AU - Jensen, Steen Solvang
AU - Ketzel, Matthias
AU - S�rensen, Mette
AU - Loft, Steffen
AU - Overvad, Kim
AU - Tj�nneland, Anne
PY - 2011
Y1 - 2011
N2 - BACKGROUND. Previous studies have shown associations between air pollution and risk for lung cancer. OBJECTIVE. To investigate whether traffic and the concentration of nitrogen oxides (NOx) at the residence are associated with risk for lung cancer. METHODS. We identified 592 lung cancer cases in the Danish Cancer Registry among 52 970 members of the Diet Cancer and Health cohort and traced residential addresses from 1 January 1971 in the Central Population Registry. We calculated the NOx concentration at each address by dispersion models, and calculated the time-weighted average concentration for all addresses for each person. We used Cox models to estimate incidence rate ratios (IRRs) after adjustment for smoking (status, duration and intensity), environmental tobacco smoke, length of school attendance, occupation and dietary intake of fruit. RESULTS. For the highest compared with the lowest quartile of NOx concentration at the residence we found an IRR for lung cancer of 1.30 (95% confidence interval (CI): 1.05-1.61) and the IRR for lung cancer in association with living within 50 m of a major road (> 10 000 vehicles per day) was 1.21 (95% CI: 0.95-1.55). The results showed tendencies of stronger associations among non-smokers, among those with a relatively low fruit intake and among those with a longer school attendance; only length of school attendance modified the effect significantly. CONCLUSIONS. This study supports that risk for lung cancer is associated with different markers of air pollution from traffic near the residence.
AB - BACKGROUND. Previous studies have shown associations between air pollution and risk for lung cancer. OBJECTIVE. To investigate whether traffic and the concentration of nitrogen oxides (NOx) at the residence are associated with risk for lung cancer. METHODS. We identified 592 lung cancer cases in the Danish Cancer Registry among 52 970 members of the Diet Cancer and Health cohort and traced residential addresses from 1 January 1971 in the Central Population Registry. We calculated the NOx concentration at each address by dispersion models, and calculated the time-weighted average concentration for all addresses for each person. We used Cox models to estimate incidence rate ratios (IRRs) after adjustment for smoking (status, duration and intensity), environmental tobacco smoke, length of school attendance, occupation and dietary intake of fruit. RESULTS. For the highest compared with the lowest quartile of NOx concentration at the residence we found an IRR for lung cancer of 1.30 (95% confidence interval (CI): 1.05-1.61) and the IRR for lung cancer in association with living within 50 m of a major road (> 10 000 vehicles per day) was 1.21 (95% CI: 0.95-1.55). The results showed tendencies of stronger associations among non-smokers, among those with a relatively low fruit intake and among those with a longer school attendance; only length of school attendance modified the effect significantly. CONCLUSIONS. This study supports that risk for lung cancer is associated with different markers of air pollution from traffic near the residence.
M3 - Tidsskriftartikel
VL - 119
SP - 860
EP - 865
JO - Environmental Health Perspectives
JF - Environmental Health Perspectives
SN - 0091-6765
IS - 6
ER -
ID: 148050630