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

Simple item page
dc.contributor.authorMarí-Dell’Olmo, Marc
dc.contributor.authorGotsens, Mercè
dc.contributor.authorPalència, Laia
dc.contributor.authorRodríguez Sanz, Maica
dc.contributor.authorMartínez Beneito, A.
dc.contributor.authorBallesta Ruiz, Mónica
dc.contributor.authorCalvo, Montse
dc.contributor.authorCirera, Lluís
dc.contributor.authorDaponte, Antonio
dc.contributor.authorDomínguez 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 Martínez, Diego
dc.contributor.authorBorrell, Carme
dc.contributor.authorTaracido, Margarita
dc.contributor.departmentCiencias Sociosanitarias
dc.contributor.otherFacultades de la UMU::Facultad de Enfermería
dc.date.accessioned2026-02-20T13:21:55Z
dc.date.available2026-02-20T13:21:55Z
dc.date.copyright© 2016 The Author(s)
dc.date.issued2016-07-29
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 inequalities.
dc.formatapplication/pdf
dc.format.extent13
dc.identifier.citationBMC Public Health, 2016, Vol. 16, 663
dc.identifier.doihttps://doi.org/10.1186/s12889-016-3190-y
dc.identifier.eissn1471-2458
dc.identifier.urihttp://hdl.handle.net/10201/209362
dc.languageeng
dc.publisherBioMed Central
dc.relationThis 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).
dc.relation.publisherversionhttps://link.springer.com/article/10.1186/s12889-016-3190-y
dc.rightsAttribution 4.0 International*
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectMultilevel analysis
dc.subjectGeographical inequalities
dc.subjectBayesian methods
dc.subjectTrends
dc.subjectUrban areas
dc.subjectSmall areas
dc.subjectMortality
dc.subjectInequalites in mortality
dc.subjectSocioeconomic inequalities
dc.subjectDisease mapping
dc.subject.odsNo relacionado con ningún objetivo de desarrollo sostenible
dc.titleTrends in socioeconomic inequalities in mortality in small areas of 33 Spanish cities
dc.typeinfo:eu-repo/semantics/article
dc.type.versioninfo:eu-repo/semantics/publishedVersion
dspace.entity.typePublicationes
relation.isAuthorOfPublicationdbc036f9-e429-4373-a198-0082097acf67
relation.isAuthorOfPublicationeb66f6d0-47c9-4f9b-bc79-04137a6b2d59
relation.isAuthorOfPublication.latestForDiscoverydbc036f9-e429-4373-a198-0082097acf67
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Trends socioeconomics inequalities mortality 33 spanish cities- Public Health 2016.pdf
Size:
2.8 MB
Format:
Adobe Portable Document Format
Description:
Download
License bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
license.txt
Size:
1.37 KB
Format:
Item-specific license agreed upon to submission
Description:
Download
Collections
Artículos