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dc.contributor.authorTorres-Roman, J.S.
dc.contributor.authorGomez-Rubio, V.
dc.contributor.authorSanchez-Trujillo, L.
dc.contributor.authorDelgado-Rosas, E.
dc.contributor.authorPuche-Vergara, F.
dc.contributor.authorSanz-Anquela, J.M.
dc.contributor.authorOrtega, M.A.
dc.date.accessioned2025-10-31T18:33:39Z
dc.date.available2025-10-31T18:33:39Z
dc.date.issued2020
dc.identifier.urihttps://hdl.handle.net/20.500.12805/4985
dc.description.abstractBackground: Peru has a public health problem because of asbestos imports. We analyzed the mortality trends for mesothelioma in Peru and its provinces from 2005 to 2014 and estimated their relationship with the amount of asbestos imported previously. Methods: We computed age-standardized mortality rates (ASMRs) per 100,000 population (direct method and SEGI world standard population reference), and the standardized mortality ratio (SMR). The relationship between the amount of asbestos imported annually along the period 1965–2010 and the number of mesothelioma deaths per year from 2005 to 2014 was estimated by log-linear Poisson regression models and Pearson correlation calculations. Results: After correcting the number of deaths, Peru registered 428 cases (or 430 when corrected cases are rounded by sex) between 2005 and 2014. The highest ASMRs were in Arequipa and Callao (range: 0.40−0.41/100,000 population), followed by Huancavelica (0.36/100,000 population). This translates into approximately one death per each 68–111 of asbestos tons imported. The latency period for the higher level of positive correlation found was 8 years (r = 0.8). Male female sex ratio was lower in provinces such as Junin and Hunacavelica with geological asbestos risk. Conclusions: Two patterns of mesothelioma risk have been detected, occupational and environmental. During the 2002–2006 years, Peru increased the asbestos use. If crocidolite imports were also increased, this could be behind the 8 years latency period detected. Peru should boost strategies towards the total ban of all forms of asbestos.en_US
dc.description.sponsorshipTo the MINSA and the Peruvian “Asociación Frente al Asbesto” AFA-PEART / Association Against Asbestos for providing data. Thanks to Dr. Gonzalo Lopez-Abente, Carlos III Institute of Health -Spain National Center for Epidemiology (retired), for helping us with the statistical analysis and for the provide us the routine in R with which he carried out the calculations of the period of latency in his paper [28]. The authors want to dedicate this manuscript “in memoriam” to Javier Díez-Canseco Cisneros (1948 - 2013), a tireless legislative fighter for the prohibition of all types of asbestos in Peru.
dc.formatapplication/pdf
dc.language.isoeng
dc.publisherElsevier
dc.relation.ispartofurn:issn:1877-7821
dc.rightshttps://purl.org/coar/access_right/c_abf2
dc.rights.urihttps://creativecommons.org/licenses/by-nc-sa/4.0/
dc.subjectAsbestos Exposure and Malignant Mesothelioma Insightsen_US
dc.subjectAsbestos Exposure and Its Health Consequencesen_US
dc.titleGeographic study of mortality due to mesothelioma in Peru and its evolutionen_US
dc.typehttps://purl.org/coar/resource_type/c_2df8fbb1
dc.identifier.doihttps://doi.org/10.1016/j.canep.2020.101791
dc.subject.ocdehttps://purl.org/pe-repo/ocde/ford#3.03.08
dc.type.otherResearch article
dc.identifier.journalCancer Epidemiology
dc.type.versionhttps://purl.org/coar/version/c_970fb48d4fbd8a85


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