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Lung Cancer Risk and Past Exposure to Emissions from a Large Steel Plant

We studied the spatial distribution of cancer incidence rates around a large steel plant and its association with historical exposure. The study population was close to 600,000. The incidence data was collected for 1995–2006. From historical emission data the air pollution concentrations for polycyc...

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Autores principales: Breugelmans, Oscar, Ameling, Caroline, Marra, Marten, Fischer, Paul, van de Kassteele, Jan, Lijzen, Johannes, Oosterlee, Arie, Keuken, Rinske, Visser, Otto, Houthuijs, Danny, van Wiechen, Carla
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3845394/
https://www.ncbi.nlm.nih.gov/pubmed/24324501
http://dx.doi.org/10.1155/2013/684035
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author Breugelmans, Oscar
Ameling, Caroline
Marra, Marten
Fischer, Paul
van de Kassteele, Jan
Lijzen, Johannes
Oosterlee, Arie
Keuken, Rinske
Visser, Otto
Houthuijs, Danny
van Wiechen, Carla
author_facet Breugelmans, Oscar
Ameling, Caroline
Marra, Marten
Fischer, Paul
van de Kassteele, Jan
Lijzen, Johannes
Oosterlee, Arie
Keuken, Rinske
Visser, Otto
Houthuijs, Danny
van Wiechen, Carla
author_sort Breugelmans, Oscar
collection PubMed
description We studied the spatial distribution of cancer incidence rates around a large steel plant and its association with historical exposure. The study population was close to 600,000. The incidence data was collected for 1995–2006. From historical emission data the air pollution concentrations for polycyclic aromatic hydrocarbons (PAH) and metals were modelled. Data were analyzed using Bayesian hierarchical Poisson regression models. The standardized incidence ratio (SIR) for lung cancer was up to 40% higher than average in postcodes located in two municipalities adjacent to the industrial area. Increased incidence rates could partly be explained by differences in socioeconomic status (SES). In the highest exposure category (approximately 45,000 inhabitants) a statistically significant increased relative risk (RR) of 1.21 (1.01–1.43) was found after adjustment for SES. The elevated RRs were similar for men and women. Additional analyses in a subsample of the population with personal smoking data from a recent survey suggested that the observed association between lung cancer and plant emission, after adjustment for SES, could still be caused by residual confounding. Therefore, we cannot indisputably conclude that past emissions from the steel plant have contributed to the increased risk of lung cancer.
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spelling pubmed-38453942013-12-09 Lung Cancer Risk and Past Exposure to Emissions from a Large Steel Plant Breugelmans, Oscar Ameling, Caroline Marra, Marten Fischer, Paul van de Kassteele, Jan Lijzen, Johannes Oosterlee, Arie Keuken, Rinske Visser, Otto Houthuijs, Danny van Wiechen, Carla J Environ Public Health Research Article We studied the spatial distribution of cancer incidence rates around a large steel plant and its association with historical exposure. The study population was close to 600,000. The incidence data was collected for 1995–2006. From historical emission data the air pollution concentrations for polycyclic aromatic hydrocarbons (PAH) and metals were modelled. Data were analyzed using Bayesian hierarchical Poisson regression models. The standardized incidence ratio (SIR) for lung cancer was up to 40% higher than average in postcodes located in two municipalities adjacent to the industrial area. Increased incidence rates could partly be explained by differences in socioeconomic status (SES). In the highest exposure category (approximately 45,000 inhabitants) a statistically significant increased relative risk (RR) of 1.21 (1.01–1.43) was found after adjustment for SES. The elevated RRs were similar for men and women. Additional analyses in a subsample of the population with personal smoking data from a recent survey suggested that the observed association between lung cancer and plant emission, after adjustment for SES, could still be caused by residual confounding. Therefore, we cannot indisputably conclude that past emissions from the steel plant have contributed to the increased risk of lung cancer. Hindawi Publishing Corporation 2013 2013-11-13 /pmc/articles/PMC3845394/ /pubmed/24324501 http://dx.doi.org/10.1155/2013/684035 Text en Copyright © 2013 Oscar Breugelmans et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Breugelmans, Oscar
Ameling, Caroline
Marra, Marten
Fischer, Paul
van de Kassteele, Jan
Lijzen, Johannes
Oosterlee, Arie
Keuken, Rinske
Visser, Otto
Houthuijs, Danny
van Wiechen, Carla
Lung Cancer Risk and Past Exposure to Emissions from a Large Steel Plant
title Lung Cancer Risk and Past Exposure to Emissions from a Large Steel Plant
title_full Lung Cancer Risk and Past Exposure to Emissions from a Large Steel Plant
title_fullStr Lung Cancer Risk and Past Exposure to Emissions from a Large Steel Plant
title_full_unstemmed Lung Cancer Risk and Past Exposure to Emissions from a Large Steel Plant
title_short Lung Cancer Risk and Past Exposure to Emissions from a Large Steel Plant
title_sort lung cancer risk and past exposure to emissions from a large steel plant
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3845394/
https://www.ncbi.nlm.nih.gov/pubmed/24324501
http://dx.doi.org/10.1155/2013/684035
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