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Predictors of Lung Cancer Risk: An Ecological Study Using Mortality and Environmental Data by Municipalities in Italy

Lung cancer (LC) mortality remains a consistent part of the total deaths occurring worldwide. Its etiology is complex as it involves multifactorial components. This work aims in providing an epidemiological assessment on occupational and environmental factors associated to LC risk by means of an eco...

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Autores principales: Gariazzo, Claudio, Binazzi, Alessandra, Alfò, Marco, Massari, Stefania, Stafoggia, Massimo, Marinaccio, Alessandro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7922734/
https://www.ncbi.nlm.nih.gov/pubmed/33669318
http://dx.doi.org/10.3390/ijerph18041896
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author Gariazzo, Claudio
Binazzi, Alessandra
Alfò, Marco
Massari, Stefania
Stafoggia, Massimo
Marinaccio, Alessandro
author_facet Gariazzo, Claudio
Binazzi, Alessandra
Alfò, Marco
Massari, Stefania
Stafoggia, Massimo
Marinaccio, Alessandro
author_sort Gariazzo, Claudio
collection PubMed
description Lung cancer (LC) mortality remains a consistent part of the total deaths occurring worldwide. Its etiology is complex as it involves multifactorial components. This work aims in providing an epidemiological assessment on occupational and environmental factors associated to LC risk by means of an ecological study involving the 8092 Italian municipalities for the period 2006–2015. We consider mortality data from mesothelioma as proxy of asbestos exposure, as well as PM(2.5) and radon levels as a proxy of environmental origin. The compensated cases for occupational respiratory diseases, urbanization and deprivation were included as predictors. We used a negative binomial distribution for the response, with analysis stratified by gender. We estimated that asbestos is responsible for about 1.1% (95% CI: 0.8, 1.4) and 0.5% (95% CI: 0.2, 0.8) of LC mortality in males and females, respectively. The corresponding figures are 14.0% (95% CI: 12.5, 15.7) and 16.3% (95% CI: 16.2, 16.3) for PM(2.5) exposure, and 3.9% (95% CI: 3.5, 4.2) and 1.6% (95% CI: 1.4, 1.7) for radon exposure. The assessment of determinants contribution to observed LC deaths is crucial for improving awareness of its origin, leading to increase the equity of the welfare system.
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spelling pubmed-79227342021-03-03 Predictors of Lung Cancer Risk: An Ecological Study Using Mortality and Environmental Data by Municipalities in Italy Gariazzo, Claudio Binazzi, Alessandra Alfò, Marco Massari, Stefania Stafoggia, Massimo Marinaccio, Alessandro Int J Environ Res Public Health Article Lung cancer (LC) mortality remains a consistent part of the total deaths occurring worldwide. Its etiology is complex as it involves multifactorial components. This work aims in providing an epidemiological assessment on occupational and environmental factors associated to LC risk by means of an ecological study involving the 8092 Italian municipalities for the period 2006–2015. We consider mortality data from mesothelioma as proxy of asbestos exposure, as well as PM(2.5) and radon levels as a proxy of environmental origin. The compensated cases for occupational respiratory diseases, urbanization and deprivation were included as predictors. We used a negative binomial distribution for the response, with analysis stratified by gender. We estimated that asbestos is responsible for about 1.1% (95% CI: 0.8, 1.4) and 0.5% (95% CI: 0.2, 0.8) of LC mortality in males and females, respectively. The corresponding figures are 14.0% (95% CI: 12.5, 15.7) and 16.3% (95% CI: 16.2, 16.3) for PM(2.5) exposure, and 3.9% (95% CI: 3.5, 4.2) and 1.6% (95% CI: 1.4, 1.7) for radon exposure. The assessment of determinants contribution to observed LC deaths is crucial for improving awareness of its origin, leading to increase the equity of the welfare system. MDPI 2021-02-16 2021-02 /pmc/articles/PMC7922734/ /pubmed/33669318 http://dx.doi.org/10.3390/ijerph18041896 Text en © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Gariazzo, Claudio
Binazzi, Alessandra
Alfò, Marco
Massari, Stefania
Stafoggia, Massimo
Marinaccio, Alessandro
Predictors of Lung Cancer Risk: An Ecological Study Using Mortality and Environmental Data by Municipalities in Italy
title Predictors of Lung Cancer Risk: An Ecological Study Using Mortality and Environmental Data by Municipalities in Italy
title_full Predictors of Lung Cancer Risk: An Ecological Study Using Mortality and Environmental Data by Municipalities in Italy
title_fullStr Predictors of Lung Cancer Risk: An Ecological Study Using Mortality and Environmental Data by Municipalities in Italy
title_full_unstemmed Predictors of Lung Cancer Risk: An Ecological Study Using Mortality and Environmental Data by Municipalities in Italy
title_short Predictors of Lung Cancer Risk: An Ecological Study Using Mortality and Environmental Data by Municipalities in Italy
title_sort predictors of lung cancer risk: an ecological study using mortality and environmental data by municipalities in italy
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7922734/
https://www.ncbi.nlm.nih.gov/pubmed/33669318
http://dx.doi.org/10.3390/ijerph18041896
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