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dc.contributor.authorAyuso-Álvarez, Ana
dc.contributor.authorGarcía-Pérez, Javier
dc.contributor.authorTriviño-Juárez, José-Matías
dc.contributor.authorLarrinaga-Torrontegui, Unai
dc.contributor.authorGonzález-Sánchez, Mario
dc.contributor.authorRamis, Rebeca
dc.contributor.authorBoldo, Elena
dc.contributor.authorLópez-Abente, Gonzalo
dc.contributor.authorGalán Labaca, Ignacio 
dc.contributor.authorFernández-Navarro, Pablo
dc.contributor.authorInstituto de Investigación Sanitaria Hospital Universitario de La Paz (IdiPAZ)es_ES
dc.contributor.otherUAM. Departamento de Medicina Preventiva y Salud Pública y Microbiologíaes_ES
dc.date.accessioned2020-11-25T14:06:21Z
dc.date.available2020-11-25T14:06:21Z
dc.date.issued2020-01-03
dc.identifier.citationEnvironmental Pollution 260. May (2020): 113869en_US
dc.identifier.issn0269-7491 (print)es_ES
dc.identifier.issn1873-6424 (online)es_ES
dc.identifier.urihttp://hdl.handle.net/10486/692542
dc.description.abstractIt is likely that pollution from chemical facilities will affect the health of any exposed population; however, the majority of scientific evidence available has focused on occupational exposure rather than environmental. Consequently, this study assessed whether there could have been an excess of cancerrelated mortality associated with environmental exposure to pollution from chemical installations e for populations residing in municipalities in the vicinity of chemical industries. To this end, we designed an ecological study which assessed municipal mortality due to 32 types of cancer in the period from 1999 to 2008. The exposure to pollution was estimated using distance from the facilities to the centroid of the municipality as a proxy for exposure. In order to assess any increased cancer mortality risk in municipalities potentially exposed to chemical facilities pollution (situated at a distance of 5 km from a chemical installation), we employed Bayesian Hierarchical Poisson Regression Models. This included two Bayesian inference methods: Integrated Nested Laplace Approximations (INLA) and Markov Chain Monte Carlo (MCMC, for validation). The reference category consisted of municipalities beyond the 5 km limit. We found higher mortality risk (relative risk, RR; estimated by INLA, 95% credible interval, 95%CrI) for both sexes for colorectal (RR, 1.09; 95%CrI, 1.05e1.15), gallbladder (1.14; 1.03e1.27), and ovarian cancers (1.10; 1.02e1.20) associated with organic chemical installations. Notably, pleural cancer (2.27; 1.49e3.41) in both sexes was related to fertilizer facilities. Associations were found for women, specifically for ovarian (1.11; 1.01e1.22) and breast cancers (1.06; 1.00e1.13) in the proximity of explosives/pyrotechnics installations; increased breast cancer mortality risk (1.10; 1.03e1.18) was associated with proximity to inorganic chemical installations. The results suggest that environmental exposure to pollutants from some types of chemical facilities may be associated with increased mortality from several different types of canceren_US
dc.description.sponsorshipThe study was partially supported by research grants from the Spanish Health Research Fund, Carlos III Institute of Health (ISCIII), Spain (FIS CP11/00112, FIS PI14CIII/00065, FIS PI17CIII/00040) and by Scientific Foundation of the Spanish Association Against Cancer (AECC), Spain (Fundación Científica de la Asociación Española Contra el Cáncer (AECC) e EVP-1178/14)en_US
dc.format.extent11 pag.es_ES
dc.format.mimetypeapplication/pdfen
dc.language.isoengen_US
dc.publisherElsevier Ltden_US
dc.relation.ispartofEnvironmental Pollutionen_US
dc.rights© 2020 The Authorsen_US
dc.subject.otherPolutionen_US
dc.subject.otherChemical indistryen_US
dc.subject.otherHealthen_US
dc.subject.otherEnvironmentalen_US
dc.subject.otherCanceren_US
dc.titleAssociation between proximity to industrial chemical installations and cancer mortality in Spainen_US
dc.typearticleen
dc.subject.ecienciaMedicinaes_ES
dc.relation.publisherversionhttps://doi.org/10.1016/j.envpol.2019.113869es_ES
dc.identifier.doi10.1016/j.envpol.2019.113869es_ES
dc.identifier.publicationfirstpage113869-1es_ES
dc.identifier.publicationissueMayen_US
dc.identifier.publicationlastpage113869-11es_ES
dc.identifier.publicationvolume260es_ES
dc.relation.projectIDGobierno de España. FIS CP11/00112es_ES
dc.relation.projectIDGobierno de España. FIS PI14CIII/00065es_ES
dc.relation.projectIDGobierno de España. FIS PI17CIII/00040)es_ES
dc.type.versioninfo:eu-repo/semantics/publishedVersionen
dc.rights.ccReconocimiento – NoComercial – SinObraDerivadaes_ES
dc.rights.accessRightsopenAccessen
dc.authorUAMAyuso Álvarez, Ana (262194)
dc.authorUAMGalán Labaca, Ignacio (262111)
dc.facultadUAMFacultad de Medicina
dc.institutoUAMInstituto de Investigación Sanitaria Hospital Universitario de La Paz (IdiPAZ)


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