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Socioeconomic deprivation and congenital anomalies: spatial patterns in Portugal, 2010–2021

2025-10-27Documento de conferência Acesso aberto
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datacite.subject.fosCiências Médicas::Ciências da Saúde
dc.contributor.authorde Carvalho Aniceto, Carlos André
dc.contributor.authorBraz, Paula
dc.contributor.authorMachado, Ausenda
dc.contributor.authorMatias Dias, Carlos
dc.date.accessioned2026-03-03T13:43:46Z
dc.date.available2026-03-03T13:43:46Z
dc.date.issued2025-10-27
dc.descriptionAbstract publicado em: Eur J Public Health. 2025 Oct 27;35(Suppl 4):ckaf161.567. doi: 10.1093/eurpub/ckaf161.567
dc.description.abstractBackground: Congenital anomalies (CA) include structural/functional malformations, chromosomal anomalies, and other genetic diseases arising during intrauterine life. Although a link between socioeconomic inequalities and CA is suggested evidence in Portugal remains scarce. This study analyzed the geographic distribution of CA prevalence rate (PR) and the European Deprivation Index (EDI), and their spatial autocorrelation in mainland Portugal, using national CA registry data from 2010-2021. Methods: Observational ecological study using cases reported to the national CA registry (2010-2021). EDI data, based on the 2011 census, were retrieved from public sources. CA prevalence by municipality was calculated using live births and fetal deaths from the National Institute of Statistics. Spatial statistical analyses evaluated geographic patterns. Two periods were considered (2010-2015 and 2016-2021), estimating: (i) Bayesian smoothed prevalence rates (PRCA) using empirical Bayes; (ii) univariate spatial clustering of PRCA using Local Moran’s I; and (iii) bivariate spatial clustering of PRCA and EDI using bivariate Local Moran’s I. Results: Between 2010-2015, PRCA ranged from 17 to 513/10000 live births. Three significant high-rate clusters (p<0.05) were identified in the Centro and Algarve regions. A high-high cluster (p<0.05) of PRCA and EDI was detected in the Algarve. Between 2016-2021, PRCA ranged from 3 to 610/10000 live births. Two clusters of high PRCA (p<0.05) were observed in Centro. Bivariate analysis revealed high-high clusters (p<0.05) of PRCA and EDI in the Algarve and Norte regions. Conclusions: A consistent concentration of high CA prevalence associated with greater socioeconomic deprivation was found in the Algarve region across both periods. Spatial autocorrelation methods proved effective in identifying and comparing geographic patterns of CA and EDI. Findings highlight the need for public health interventions targeting vulnerable populations and CA prevention.eng
dc.identifier.urihttp://hdl.handle.net/10400.18/11039
dc.language.isoeng
dc.peerreviewedno
dc.relation.hasversionhttps://academic.oup.com/eurpub/article/35/Supplement_4/ckaf161.567/8302887?searchresult=1
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/
dc.subjectSpatial Analysis
dc.subjectCongenital Anomalies
dc.subjectDeterminantes da Saúde e da Doença
dc.subjectObservação em Saúde e Vigilância
dc.subjectEstados de Saúde e de Doença
dc.subjectPortugal
dc.titleSocioeconomic deprivation and congenital anomalies: spatial patterns in Portugal, 2010–2021eng
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferenceDate2025-11
oaire.citation.conferencePlaceHelsinki, Finland
oaire.citation.issueSupplement_4
oaire.citation.title18th European Public Health Conference, 12-14 November 2025
oaire.citation.volume35
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNamede Carvalho Aniceto
person.familyNameBraz
person.familyNameMachado
person.familyNameMatias Dias
person.givenNameCarlos André
person.givenNamePaula
person.givenNameAusenda
person.givenNameCarlos
person.identifier.ciencia-id0A11-4015-EEF1
person.identifier.ciencia-id1217-6076-5D88
person.identifier.ciencia-id6311-6117-ADEB
person.identifier.orcid0000-0002-7779-7228
person.identifier.orcid0000-0003-3043-2827
person.identifier.orcid0000-0002-1849-1499
person.identifier.orcid0000-0002-0206-5874
person.identifier.ridI-6335-2012
person.identifier.scopus-author-id23103292400
relation.isAuthorOfPublication57acf2f6-c3aa-4d80-95ed-234407caac2c
relation.isAuthorOfPublicationa9cd25a1-e308-4175-9338-802416a5a706
relation.isAuthorOfPublication544ad266-0c22-4a50-9ebc-86acc08d6666
relation.isAuthorOfPublicationfe9524e7-fc22-42f6-8eca-ab6a513ddd6b
relation.isAuthorOfPublication.latestForDiscovery57acf2f6-c3aa-4d80-95ed-234407caac2c

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