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Sökning: onr:"swepub:oai:DiVA.org:su-190078" > Long-term low-level...

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FältnamnIndikatorerMetadata
00006323naa a2200985 4500
001oai:DiVA.org:su-190078
003SwePub
008210216s2021 | |||||||||||000 ||eng|
009oai:prod.swepub.kib.ki.se:145532316
0247 a https://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-1900782 URI
0247 a https://doi.org/10.1016/j.envint.2020.1062492 DOI
0247 a http://kipublications.ki.se/Default.aspx?queryparsed=id:1455323162 URI
040 a (SwePub)sud (SwePub)ki
041 a engb eng
042 9 SwePub
072 7a ref2 swepub-contenttype
072 7a art2 swepub-publicationtype
1001 a Hvidtfeldt, Ulla Arthur4 aut
2451 0a Long-term low-level ambient air pollution exposure and risk of lung cancer - A pooled analysis of 7 European cohorts
264 1b Elsevier BV,c 2021
338 a print2 rdacarrier
520 a Background/aim: Ambient air pollution has been associated with lung cancer, but the shape of the exposure-response function - especially at low exposure levels - is not well described. The aim of this study was to address the relationship between long-term low-level air pollution exposure and lung cancer incidence.Methods: 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 (O-3) 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 socioeconomic 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.Results: The analyses included 307,550 cohort participants. During a mean follow-up of 18.1 years, 3956 incident lung cancer cases occurred. Median (Q1, Q3) annual (2010) exposure levels of NO2, PM2.5, BC and O-3 (warm season) were 24.2 mu g/m(3) (19.5, 29.7), 15.4 mu g/m(3) (12.8, 17.3), 1.6 10(-5)m(-1) (1.3, 1.8), and 86.6 mu g/m(3) (78.5, 92.9), respectively. We observed a higher risk for lung cancer with higher exposure to PM2.5 (HR: 1.13, 95% CI: 1.05, 1.23 per 5 mu g/m(3)). This association was robust to adjustment for other pollutants. The SCHIF, spline and subset analyses suggested a linear or supra-linear association with no evidence of a threshold. In subset analyses, risk estimates were clearly elevated for the subset of subjects with exposure below the EU limit value of 25 mu g/m(3). We did not observe associations between NO2, BC or O-3 and lung cancer incidence.Conclusions: Long-term ambient PM2.5 exposure is associated with lung cancer incidence even at concentrations below current EU limit values and possibly WHO Air Quality Guidelines.
650 7a MEDICIN OCH HÄLSOVETENSKAPx Hälsovetenskapx Arbetsmedicin och miljömedicin0 (SwePub)303032 hsv//swe
650 7a MEDICAL AND HEALTH SCIENCESx Health Sciencesx Occupational Health and Environmental Health0 (SwePub)303032 hsv//eng
653 a Air pollution
653 a Lung cancer incidence
653 a Particulate matter
653 a Dose response relationship
7001 a Severi, Gianluca4 aut
7001 a Jovanovic Andersen, Zorana4 aut
7001 a Atkinson, Richard4 aut
7001 a Bauwelinck, Mariska4 aut
7001 a Bellander, Tomu Karolinska Institutet4 aut
7001 a Boutron-Ruault, Marie-Christine4 aut
7001 a Brandt, Jørgen4 aut
7001 a Brunekreef, Bert4 aut
7001 a Cesaroni, Giulia4 aut
7001 a Chen, Jie4 aut
7001 a Concin, Hans4 aut
7001 a Forastiere, Francesco4 aut
7001 a van Gils, Carla H.4 aut
7001 a Gulliver, John4 aut
7001 a Hertel, Ole4 aut
7001 a Hoek, Gerard4 aut
7001 a Hoffmann, Barbara4 aut
7001 a de Hoogh, Kees4 aut
7001 a Janssen, Nicole4 aut
7001 a Jöckel, Karl-Heinz4 aut
7001 a Jørgensen, Jeanette Therming4 aut
7001 a Katsouyanni, Kleau Karolinska Institutet4 aut
7001 a Ketzel, Matthias4 aut
7001 a Klompmaker, Jochem O.4 aut
7001 a Krog, Norun Hjertager4 aut
7001 a Lang, Alois4 aut
7001 a Leander, Karin4 aut
7001 a Liu, Shuou Karolinska Institutet4 aut
7001 a Ljungman, Petter L. S.4 aut
7001 a Magnusson, Patrik K. E.4 aut
7001 a Mehta, Amar Jayant4 aut
7001 a Nagel, Gabriele4 aut
7001 a Oftedal, Bente4 aut
7001 a Pershagen, Göranu Karolinska Institutet4 aut
7001 a Peter, Raphael Simon4 aut
7001 a Peters, Annette4 aut
7001 a Renzi, Matteo4 aut
7001 a Rizzuto, Deborau Karolinska Institutet,Stockholms universitet,Centrum för forskning om äldre och åldrande (ARC), (tills m KI),Stockholm Gerontology Research Center, Sweden4 aut
7001 a Rodopoulou, Sophia4 aut
7001 a Samoli, Evangelia4 aut
7001 a Schwarze, Per Everhard4 aut
7001 a Sigsgaard, Torben4 aut
7001 a Simonsen, Mette Kildevæld4 aut
7001 a Stafoggia, Massimo4 aut
7001 a Strak, Maciek4 aut
7001 a Vienneau, Danielle4 aut
7001 a Weinmayr, Gudrun4 aut
7001 a Wolf, Kathrin4 aut
7001 a Raaschou-Nielsen, Ole4 aut
7001 a Fecht, Daniela4 aut
7102 a Karolinska Institutetb Centrum för forskning om äldre och åldrande (ARC), (tills m KI)4 org
7730 t Environment Internationald : Elsevier BVg 146q 146x 0160-4120x 1873-6750
8564 u https://doi.org/10.1016/j.envint.2020.106249y Fulltext
8564 u https://doi.org/10.1016/j.envint.2020.106249
8564 8u https://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-190078
8564 8u https://doi.org/10.1016/j.envint.2020.106249
8564 8u http://kipublications.ki.se/Default.aspx?queryparsed=id:145532316

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