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Particulate matter air pollution components and risk for lung cancer.

Raaschou-Nielsen, O, Beelen, R, Wang, M, Hoek, G, Andersen, ZJ, Hoffmann, B, Stafoggia, M, Samoli, E, Weinmayr, G, Dimakopoulou, K , Nieuwenhuijsen, M, Xun, WW, Fischer, P, Eriksen, KT, Sørensen, M, Tjønneland, A, Ricceri, F, de Hoogh, K, Key, T, Eeftens, M, Peeters, PH, Bueno-de-Mesquita, HB, Meliefste, K, Oftedal, B, Schwarze, PE, Nafstad, P, Galassi, C, Migliore, E, Ranzi, A, Cesaroni, G, Badaloni, C, Forastiere, F, Penell, J, De Faire, U, Korek, M, Pedersen, N, Östenson, CG, Pershagen, G, Fratiglioni, L, Concin, H, Nagel, G, Jaensch, A, Ineichen, A, Naccarati, A, Katsoulis, M, Trichpoulou, A, Keuken, M, Jedynska, A, Kooter, IM, Kukkonen, J, Brunekreef, B, Sokhi, RS, Katsouyanni, K and Vineis, P (2016) Particulate matter air pollution components and risk for lung cancer. Environ Int, 87. pp. 66-73.

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Abstract

BACKGROUND: Particulate matter (PM) air pollution is a human lung carcinogen; however, the components responsible have not been identified. We assessed the associations between PM components and lung cancer incidence. METHODS: We used data from 14 cohort studies in eight European countries. We geocoded baseline addresses and assessed air pollution with land-use regression models for eight elements (Cu, Fe, K, Ni, S, Si, V and Zn) in size fractions of PM2.5 and PM10. We used Cox regression models with adjustment for potential confounders for cohort-specific analyses and random effect models for meta-analysis. RESULTS: The 245,782 cohort members contributed 3,229,220 person-years at risk. During follow-up (mean, 13.1 years), 1878 incident cases of lung cancer were diagnosed. In the meta-analyses, elevated hazard ratios (HRs) for lung cancer were associated with all elements except V; none was statistically significant. In analyses restricted to participants who did not change residence during follow-up, statistically significant associations were found for PM2.5 Cu (HR, 1.25; 95% CI, 1.01-1.53 per 5 ng/m(3)), PM10 Zn (1.28; 1.02-1.59 per 20 ng/m(3)), PM10 S (1.58; 1.03-2.44 per 200 ng/m(3)), PM10 Ni (1.59; 1.12-2.26 per 2 ng/m(3)) and PM10 K (1.17; 1.02-1.33 per 100 ng/m(3)). In two-pollutant models, associations between PM10 and PM2.5 and lung cancer were largely explained by PM2.5 S. CONCLUSIONS: This study indicates that the association between PM in air pollution and lung cancer can be attributed to various PM components and sources. PM containing S and Ni might be particularly important.

Item Type: Article
Authors :
NameEmailORCID
Raaschou-Nielsen, O
Beelen, R
Wang, M
Hoek, G
Andersen, ZJ
Hoffmann, B
Stafoggia, M
Samoli, E
Weinmayr, G
Dimakopoulou, K
Nieuwenhuijsen, M
Xun, WW
Fischer, P
Eriksen, KT
Sørensen, M
Tjønneland, A
Ricceri, F
de Hoogh, K
Key, T
Eeftens, M
Peeters, PH
Bueno-de-Mesquita, HB
Meliefste, K
Oftedal, B
Schwarze, PE
Nafstad, P
Galassi, C
Migliore, E
Ranzi, A
Cesaroni, G
Badaloni, C
Forastiere, F
Penell, Jj.penell@surrey.ac.uk
De Faire, U
Korek, M
Pedersen, N
Östenson, CG
Pershagen, G
Fratiglioni, L
Concin, H
Nagel, G
Jaensch, A
Ineichen, A
Naccarati, A
Katsoulis, M
Trichpoulou, A
Keuken, M
Jedynska, A
Kooter, IM
Kukkonen, J
Brunekreef, B
Sokhi, RS
Katsouyanni, K
Vineis, P
Date : February 2016
Identification Number : 10.1016/j.envint.2015.11.007
Uncontrolled Keywords : Air pollution, Cohort study, Lung cancer, Nickel, Particulate matter, Sulfur
Related URLs :
Depositing User : Symplectic Elements
Date Deposited : 17 May 2017 10:40
Last Modified : 17 May 2017 10:40
URI: http://epubs.surrey.ac.uk/id/eprint/828731

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