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dc.contributor.authorArroyave Zuluaga, Iván Darío-
dc.contributor.authorDe Vries, Esther-
dc.contributor.authorPardo Ramos, Constanza-
dc.contributor.authorWiesner Ceballos, Carolina-
dc.contributor.authorMurillo Moreno, Raúl Hernando-
dc.contributor.authorForman, David-
dc.contributor.authorBurdorf, Alex-
dc.contributor.authorAvedaño Pabón, Mauricio-
dc.date.accessioned2024-07-22T13:08:41Z-
dc.date.available2024-07-22T13:08:41Z-
dc.date.issued2015-
dc.identifier.citationDe Vries E, Arroyave Zuluaga ID, Pardo Ramos C, Wiesner Ceballos C, Murillo Moreno RH, Forman D, EtaL. Trends in inequalities in premature cancer mortality by educational level in Colombia, 1998-2007. España. J Epidemiol Community Health. [Internet] 2015 [Consultado año mes día]; 69(5): 408 – 415. Disponible en: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4393795/pdf/nihms667550.pdfspa
dc.identifier.issn0143-005X-
dc.identifier.urihttps://hdl.handle.net/10495/40700-
dc.description.abstractABSTRACT: Background: There is a paucity of studies on socioeconomic inequalities in cancer mortality in developing countries. We examined trends in inequalities in cancer mortality by educational attainment in Colombia during a period of epidemiological transition and rapid expansion of health insurance coverage. Methods: Population mortality data (1998-2007) were linked to census data to obtain age-standardised cancer mortality rates by educational attainment at ages 25-64 years for stomach, cervical, prostate, lung, colorectal, breast and other cancers. We used Poisson regression to model mortality by educational attainment and estimated the contribution of specific cancers to the slope index of inequality in cancer mortality. Results: We observed large educational inequalities in cancer mortality, particularly for cancer of the cervix (rate ratio (RR) primary vs tertiary groups=5.75, contributing 51% of cancer inequalities), stomach (RR=2.56 for males, contributing 49% of total cancer inequalities and RR=1.98 for females, contributing 14% to total cancer inequalities) and lung (RR=1.64 for males contributing 17% of total cancer inequalities and 1.32 for females contributing 5% to total cancer inequalities). Total cancer mortality rates declined faster among those with higher education, with the exception of mortality from cervical cancer, which declined more rapidly in the lower educational groups. Conclusions: There are large socioeconomic inequalities in preventable cancer mortality in Colombia, which underscore the need for intensifying prevention efforts. Reduction of cervical cancer can be achieved through reducing human papilloma virus infection, early detection and improved access to treatment of preneoplastic lesions. Reinforcing antitobacco measures may be particularly important to curb inequalities in cancer mortality.spa
dc.format.extent17 páginasspa
dc.format.mimetypeapplication/pdfspa
dc.language.isoengspa
dc.publisherBMJ Publishing Groupspa
dc.type.hasversioninfo:eu-repo/semantics/acceptedVersionspa
dc.rightsinfo:eu-repo/semantics/openAccessspa
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/2.5/co/*
dc.titleTrends in inequalities in premature cancer mortality by educational level in Colombia, 1998–2007spa
dc.typeinfo:eu-repo/semantics/articlespa
dc.publisher.groupGestión y Políticas de Saludspa
dc.identifier.doi10.1136/jech-2014-204650-
oaire.versionhttp://purl.org/coar/version/c_ab4af688f83e57aaspa
dc.rights.accessrightshttp://purl.org/coar/access_right/c_abf2spa
dc.identifier.eissn1470-2738-
oaire.citationtitleJournal of Epidemiology and Community Healthspa
oaire.citationstartpage408spa
oaire.citationendpage415spa
oaire.citationvolume69spa
oaire.citationissue5spa
dc.rights.creativecommonshttps://creativecommons.org/licenses/by/4.0/spa
dc.publisher.placeLondres, Inglaterraspa
dc.type.coarhttp://purl.org/coar/resource_type/c_2df8fbb1spa
dc.type.redcolhttps://purl.org/redcol/resource_type/ARTspa
dc.type.localArtículo de investigaciónspa
dc.subject.decsNeoplasias-
dc.subject.decsNeoplasms-
dc.subject.decsMortalidad-
dc.subject.decsMortality-
dc.subject.decsEscolaridad-
dc.subject.decsEducational Status-
dc.subject.decsPaíses en Desarrollo-
dc.subject.decsDeveloping Countries-
dc.subject.decsDisparidades en el Estado de Salud-
dc.subject.decsHealth Status Disparities-
dc.subject.decsDistribución de Poisson-
dc.subject.decsCausas de Muerte-
dc.subject.decsCause of Death-
dc.subject.decsPoisson Distribution-
dc.subject.decsColombia-
dc.description.researchgroupidCOL0007014spa
dc.subject.meshurihttps://id.nlm.nih.gov/mesh/D003906-
dc.subject.meshurihttps://id.nlm.nih.gov/mesh/D009369-
dc.subject.meshurihttps://id.nlm.nih.gov/mesh/D009026-
dc.subject.meshurihttps://id.nlm.nih.gov/mesh/D054624-
dc.subject.meshurihttps://id.nlm.nih.gov/mesh/D002423-
dc.subject.meshurihttps://id.nlm.nih.gov/mesh/D004522-
dc.subject.meshurihttps://id.nlm.nih.gov/mesh/D016012-
dc.subject.meshurihttps://id.nlm.nih.gov/mesh/D003105-
dc.relation.ispartofjournalabbrevJ. Epidemiol. Community. Health.spa
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