Trends in socioeconomic inequalities in mortality in small areas of 33 Spanish cities

dc.contributor.affiliationUniversidade de Santiago de Compostela. Departamento de Psiquiatría, Radioloxía, Saúde Pública, Enfermaría e Medicinagl
dc.contributor.authorMarí Dell'Olmo, Marc
dc.contributor.authorGotsens, Mercè
dc.contributor.authorPalència, Laia
dc.contributor.authorRodríguez Sanz, Maica
dc.contributor.authorMartínez Beneito, Miguel Ángel
dc.contributor.authorBallesta, Mónica
dc.contributor.authorCalvo, Montse
dc.contributor.authorCirera, Lluís
dc.contributor.authorDaponte, Antonio
dc.contributor.authorDomíguez Berjón, Felicitas
dc.contributor.authorGandarillas, Ana
dc.contributor.authorIzco Goñi, Natividad
dc.contributor.authorMartos, Carmen
dc.contributor.authorMoreno Iribas, Conchi
dc.contributor.authorNolasco, Andreu
dc.contributor.authorSalmerón, Diego
dc.contributor.authorTaracido Trunk, Margarita
dc.contributor.authorBorrell, Carme
dc.date.accessioned2020-06-12T09:48:37Z
dc.date.available2020-06-12T09:48:37Z
dc.date.issued2016
dc.description.abstractBackground: In Spain, several ecological studies have analyzed trends in socioeconomic inequalities in mortality from all causes in urban areas over time. However, the results of these studies are quite heterogeneous finding, in general, that inequalities decreased, or remained stable. Therefore, the objectives of this study are: (1) to identify trends in geographical inequalities in all-cause mortality in the census tracts of 33 Spanish cities between the two periods 1996–1998 and 2005–2007; (2) to analyse trends in the relationship between these geographical inequalities and socioeconomic deprivation; and (3) to obtain an overall measure which summarises the relationship found in each one of the cities and to analyse its variation over time. Methods: Ecological study of trends with 2 cross-sectional cuts, corresponding to two periods of analysis: 1996– 1998 and 2005–2007. Units of analysis were census tracts of the 33 Spanish cities. A deprivation index calculated for each census tracts in all cities was included as a covariate. A Bayesian hierarchical model was used to estimate smoothed Standardized Mortality Ratios (sSMR) by each census tract and period. The geographical distribution of these sSMR was represented using maps of septiles. In addition, two different Bayesian hierarchical models were used to measure the association between all-cause mortality and the deprivation index in each city and period, and by sex: (1) including the association as a fixed effect for each city; (2) including the association as random effects. In both models the data spatial structure can be controlled within each city. The association in each city was measured using relative risks (RR) and their 95 % credible intervals (95 % CI). Results: For most cities and in both sexes, mortality rates decline over time. For women, the mortality and deprivation patterns are similar in the first period, while in the second they are different for most cities. For men, RRs remain stable over time in 29 cities, in 3 diminish and in 1 increase. For women, in 30 cities, a non-significant change over time in RR is observed. However, in 4 cities RR diminishes. In overall terms, inequalities decrease (with a probability of 0.9) in both men (RR = 1.13, 95 % CI = 1.12–1.15 in the 1st period; RR = 1.11, 95 % CI = 1.09–1.13 in the 2nd period) and women (RR = 1.07, 95 % CI = 1.05–1.08 in the 1st period; RR = 1.04, 95 % CI = 1.02–1.06 in the 2nd period). Conclusions: In the future, it is important to conduct further trend studies, allowing to monitoring trends in socioeconomic inequalities in mortality and to identify (among other things) temporal factors that may influence these inequalitiesgl
dc.description.peerreviewedSIgl
dc.description.sponsorshipThis article was partially funded by Plan Nacional de I + D + I 2008–2011 and Instituto de Salud Carlos III (ISCIII) –Subdirección General de Evaluación y Fomento de la Investigación- (Award numbers: PI081488, PI081978, PI080367, PI08/1017, PI080330, P08/0142, PI081785, PI080662, PI081713, PI081058, PI081340, PI080803, PI126/08), Fundación Canaria de Investigación Sanitaria FUNCIS 84/07 and by CIBER Epidemiología y Salud Pública (CIBERESP)gl
dc.identifier.citationMarí-Dell’Olmo, M., Gotsens, M., Palència, L. et al. Trends in socioeconomic inequalities in mortality in small areas of 33 Spanish cities. BMC Public Health 16, 663 (2016). https://doi.org/10.1186/s12889-016-3190-ygl
dc.identifier.doi10.1186/s12889-016-3190-y
dc.identifier.essn1471-2458
dc.identifier.urihttp://hdl.handle.net/10347/22959
dc.language.isoenggl
dc.publisherBMCgl
dc.relation.publisherversionhttps://doi.org/10.1186/s12889-016-3190-ygl
dc.rights© 2016 The Author(s). Open Access. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.gl
dc.rights.accessRightsopen accessgl
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectDisease mappinggl
dc.subjectMultilevel analysisgl
dc.subjectGeographical inequalitiesgl
dc.subjectBayesian methodsgl
dc.subjectTrendsgl
dc.subjectUrban areasgl
dc.subjectSmall areasgl
dc.subjectMortalitygl
dc.subjectInequalities in mortalitygl
dc.subjectSocioeconomic inequalitiesgl
dc.titleTrends in socioeconomic inequalities in mortality in small areas of 33 Spanish citiesgl
dc.typejournal articlegl
dc.type.hasVersionVoRgl
dspace.entity.typePublication
relation.isAuthorOfPublication5bfd036e-3ceb-4138-ba23-e55d9337214b
relation.isAuthorOfPublication.latestForDiscovery5bfd036e-3ceb-4138-ba23-e55d9337214b

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