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Environmental asbestos exposure and clustering of malignant mesothelioma in community: a spatial analysis in a population-based case–control study
BACKGROUND: Neighborhood exposure to asbestos increases the risk of developing malignant mesothelioma (MM) in residents who live near asbestos mines and asbestos product plants. The area of Casale Monferrato (Northwest Italy) was impacted by several sources of asbestos environmental pollution, due t...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8444609/ https://www.ncbi.nlm.nih.gov/pubmed/34526026 http://dx.doi.org/10.1186/s12940-021-00790-3 |
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author | Airoldi, C. Magnani, C. Lazzarato, F. Mirabelli, D. Tunesi, S. Ferrante, D. |
author_facet | Airoldi, C. Magnani, C. Lazzarato, F. Mirabelli, D. Tunesi, S. Ferrante, D. |
author_sort | Airoldi, C. |
collection | PubMed |
description | BACKGROUND: Neighborhood exposure to asbestos increases the risk of developing malignant mesothelioma (MM) in residents who live near asbestos mines and asbestos product plants. The area of Casale Monferrato (Northwest Italy) was impacted by several sources of asbestos environmental pollution, due to the presence of the largest Italian asbestos cement (AC) plant. In the present study, we examined the spatial variation of MM risk in an area with high levels of asbestos pollution and secondly, and we explored the pattern of clustering. METHODS: A population-based case–control study conducted between 2001 and 2006 included 200 cases and 348 controls. Demographic and occupational data along with residential information were recorded. Bivariate Kernel density estimation was used to map spatial variation in disease risk while an adjusted logistic model was applied to estimate the impact of residential distance from the AC plant. Kulldorf test and Cuzick Edward test were then performed. RESULTS: One hundred ninety-six cases and 322 controls were included in the analyses. The contour plot of the cases to controls ratio showed a well-defined peak of MM incidence near the AC factory, and the risk decreased monotonically in all directions when large bandwidths were used. However, considering narrower smoothing parameters, several peaks of increased risk were reported. A constant trend of decreasing OR with increasing distance was observed, with estimates of 10.9 (95% CI 5.32–22.38) and 10.48 (95%CI 4.54–24.2) for 0–5 km and 5–10 km, respectively (reference > 15 km). Finally, a significant (p < 0.0001) excess of cases near the pollution source was identified and cases are spatially clustered relative to the controls until 13 nearest neighbors. CONCLUSIONS: In this study, we found an increasing pattern of mesothelioma risk in the area around a big AC factory and we detected secondary clusters of cases due to local exposure points, possibly associated to the use of asbestos materials. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12940-021-00790-3. |
format | Online Article Text |
id | pubmed-8444609 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-84446092021-09-17 Environmental asbestos exposure and clustering of malignant mesothelioma in community: a spatial analysis in a population-based case–control study Airoldi, C. Magnani, C. Lazzarato, F. Mirabelli, D. Tunesi, S. Ferrante, D. Environ Health Research BACKGROUND: Neighborhood exposure to asbestos increases the risk of developing malignant mesothelioma (MM) in residents who live near asbestos mines and asbestos product plants. The area of Casale Monferrato (Northwest Italy) was impacted by several sources of asbestos environmental pollution, due to the presence of the largest Italian asbestos cement (AC) plant. In the present study, we examined the spatial variation of MM risk in an area with high levels of asbestos pollution and secondly, and we explored the pattern of clustering. METHODS: A population-based case–control study conducted between 2001 and 2006 included 200 cases and 348 controls. Demographic and occupational data along with residential information were recorded. Bivariate Kernel density estimation was used to map spatial variation in disease risk while an adjusted logistic model was applied to estimate the impact of residential distance from the AC plant. Kulldorf test and Cuzick Edward test were then performed. RESULTS: One hundred ninety-six cases and 322 controls were included in the analyses. The contour plot of the cases to controls ratio showed a well-defined peak of MM incidence near the AC factory, and the risk decreased monotonically in all directions when large bandwidths were used. However, considering narrower smoothing parameters, several peaks of increased risk were reported. A constant trend of decreasing OR with increasing distance was observed, with estimates of 10.9 (95% CI 5.32–22.38) and 10.48 (95%CI 4.54–24.2) for 0–5 km and 5–10 km, respectively (reference > 15 km). Finally, a significant (p < 0.0001) excess of cases near the pollution source was identified and cases are spatially clustered relative to the controls until 13 nearest neighbors. CONCLUSIONS: In this study, we found an increasing pattern of mesothelioma risk in the area around a big AC factory and we detected secondary clusters of cases due to local exposure points, possibly associated to the use of asbestos materials. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12940-021-00790-3. BioMed Central 2021-09-15 /pmc/articles/PMC8444609/ /pubmed/34526026 http://dx.doi.org/10.1186/s12940-021-00790-3 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Airoldi, C. Magnani, C. Lazzarato, F. Mirabelli, D. Tunesi, S. Ferrante, D. Environmental asbestos exposure and clustering of malignant mesothelioma in community: a spatial analysis in a population-based case–control study |
title | Environmental asbestos exposure and clustering of malignant mesothelioma in community: a spatial analysis in a population-based case–control study |
title_full | Environmental asbestos exposure and clustering of malignant mesothelioma in community: a spatial analysis in a population-based case–control study |
title_fullStr | Environmental asbestos exposure and clustering of malignant mesothelioma in community: a spatial analysis in a population-based case–control study |
title_full_unstemmed | Environmental asbestos exposure and clustering of malignant mesothelioma in community: a spatial analysis in a population-based case–control study |
title_short | Environmental asbestos exposure and clustering of malignant mesothelioma in community: a spatial analysis in a population-based case–control study |
title_sort | environmental asbestos exposure and clustering of malignant mesothelioma in community: a spatial analysis in a population-based case–control study |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8444609/ https://www.ncbi.nlm.nih.gov/pubmed/34526026 http://dx.doi.org/10.1186/s12940-021-00790-3 |
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