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dc.contributor.authorRamis, Rebeca 
dc.contributor.authorDiggle, Peter
dc.contributor.authorCambra, Koldo
dc.contributor.authorLopez-Abente, Gonzalo 
dc.date.accessioned2019-03-26T15:40:48Z
dc.date.available2019-03-26T15:40:48Z
dc.date.issued2011-04
dc.identifier.citationEnviron Int. 2011 Apr;37(3):577-85.es_ES
dc.identifier.issn01604120es_ES
dc.identifier.urihttp://hdl.handle.net/20.500.12105/7401
dc.description.abstractBACKGROUND: Prostate cancer is the second most common type of cancer among men but its aetiology is still largely unknown. Different studies have proposed several risk factors such as ethnic origin, age, genetic factors, hormonal factors, diet and insulin-like growth factor, but the spatial distribution of the disease suggests that other environmental factors are involved. This paper studies the spatial distribution of prostate cancer mortality in an industrialized area using distances from each of a number of industrial facilities as indirect measures of exposure to industrial pollution. MATERIALS AND METHODS: We studied the Gran Bilbao area (Spain) with a population of 791,519 inhabitants distributed in 657 census tracts. There were 20 industrial facilities within the area, 8 of them in the central axis of the region. We analysed prostate cancer mortality during the period 1996-2003. There were 883 deaths giving a crude rate of 14 per 100,000 inhabitants. We extended the standard Poisson regression model by the inclusion of a multiplicative non-linear function to model the effect of distance from an industrial facility. The function's shape combined an elevated risk close to the source with a neutral effect at large distance. We also included socio-demographic covariates in the model to control potential confounding. RESULTS: We aggregated the industrial facilities by sector: metal, mineral, chemical and other activities. Results relating to metal industries showed a significantly elevated risk by a factor of approximately 1.4 in the immediate vicinity, decaying with distance to a value of 1.08 at 12km. The remaining sectors did not show a statistically significant excess of risk at the source. DISCUSSION: Notwithstanding the limitations of this kind of study, we found evidence of association between the spatial distribution of prostate cancer mortality aggregated by census tracts and proximity to metal industrial facilities located within the area, after adjusting for socio-demographic characteristics at municipality level.es_ES
dc.description.sponsorshipWe thank the Basque Government for providing census tract mortality and geographical data needed to carry out this study. This study was funded by Grant No. FIS: PI040041 from the Carlos III Institute of Health.es_ES
dc.language.isoenges_ES
dc.publisherElsevieres_ES
dc.relation.isversionofPostprintes_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/*
dc.subject.meshEnvironmental Exposure es_ES
dc.subject.meshEnvironmental Pollution es_ES
dc.subject.meshHumans es_ES
dc.subject.meshIndustrial Waste es_ES
dc.subject.meshIndustry es_ES
dc.subject.meshMale es_ES
dc.subject.meshModels, Biologicales_ES
dc.subject.meshProstatic Neoplasms es_ES
dc.subject.meshRisk Factors es_ES
dc.subject.meshSpain es_ES
dc.titleProstate cancer and industrial pollution Risk around putative focus in a multi-source scenarioes_ES
dc.typeArtículoes_ES
dc.rights.licenseAtribución-NoComercial-CompartirIgual 4.0 Internacional*
dc.identifier.pubmedID21216467es_ES
dc.format.volume37es_ES
dc.format.number3es_ES
dc.format.page577-85es_ES
dc.identifier.doi10.1016/j.envint.2010.12.001es_ES
dc.contributor.funderInstituto de Salud Carlos III - ISCIII
dc.identifier.e-issn1873-6750es_ES
dc.relation.publisherversionhttps://doi.org/10.1016/j.envint.2010.12.001es_ES
dc.identifier.journalEnvironment internationales_ES
dc.repisalud.centroISCIII::Centro Nacional de Epidemologíaes_ES
dc.repisalud.institucionISCIIIes_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES


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Atribución-NoComercial-CompartirIgual 4.0 Internacional
This item is licensed under a: Atribución-NoComercial-CompartirIgual 4.0 Internacional