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Long-term low-level ambient air pollution exposure and risk of lung cancer - A pooled analysis of 7 European cohorts.
Hvidtfeldt, Ulla Arthur; Severi, Gianluca; Andersen, Zorana Jovanovic; Atkinson, Richard; Bauwelinck, Mariska; Bellander, Tom; Boutron-Ruault, Marie-Christine; Brandt, Jørgen; Brunekreef, Bert; Cesaroni, Giulia; Chen, Jie; Concin, Hans; Forastiere, Francesco; van Gils, Carla H; Gulliver, John; Hertel, Ole; Hoek, Gerard; Hoffmann, Barbara; de Hoogh, Kees; Janssen, Nicole; Jöckel, Karl-Heinz; Jørgensen, Jeanette Therming; Katsouyanni, Klea; Ketzel, Matthias; Klompmaker, Jochem O; Krog, Norun Hjertager; Lang, Alois; Leander, Karin; Liu, Shuo; Ljungman, Petter L S; Magnusson, Patrik K E; Mehta, Amar Jayant; Nagel, Gabriele; Oftedal, Bente; Pershagen, Göran; Peter, Raphael Simon; Peters, Annette; Renzi, Matteo; Rizzuto, Debora; Rodopoulou, Sophia; Samoli, Evangelia; Schwarze, Per Everhard; Sigsgaard, Torben; Simonsen, Mette Kildevæld; Stafoggia, Massimo; Strak, Maciek; Vienneau, Danielle; Weinmayr, Gudrun; Wolf, Kathrin; Raaschou-Nielsen, Ole; Fecht, Daniela
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Open Access
Type
Article
Language
en
Date
2020-11-13
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Title
Long-term low-level ambient air pollution exposure and risk of lung cancer - A pooled analysis of 7 European cohorts.
Translated Title
Published in
Environ Int 2021; 146:106249
Abstract
The "Effects of Low-level Air Pollution: a Study in Europe" (ELAPSE) collaboration pools seven cohorts from across Europe. We developed hybrid models combining air pollution monitoring, land use data, satellite observations, and dispersion model estimates for nitrogen dioxide (NO2), fine particulate matter (PM2.5), black carbon (BC), and ozone (O3) to assign exposure to cohort participants' residential addresses in 100 m by 100 m grids. We applied stratified Cox proportional hazards models, adjusting for potential confounders (age, sex, calendar year, marital status, smoking, body mass index, employment status, and neighborhood-level socio-economic status). We fitted linear models, linear models in subsets, Shape-Constrained Health Impact Functions (SCHIF), and natural cubic spline models to assess the shape of the association between air pollution and lung cancer at concentrations below existing standards and guidelines.