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Πεδίο DCΤιμήΓλώσσα
dc.contributor.authorLamnisos, Demetris-
dc.contributor.authorMiddleton, Nicos-
dc.contributor.authorKyprianou, Nikoletta-
dc.contributor.authorTalias, Michael A.-
dc.date.accessioned2020-07-28T07:49:02Z-
dc.date.available2020-07-28T07:49:02Z-
dc.date.issued2019-08-02-
dc.identifier.citationInternational Journal of Environmental Research and Public Health, 2019, vol. 19, no. 19, articl. no. 2927en_US
dc.identifier.issn16617827-
dc.identifier.urihttps://hdl.handle.net/20.500.14279/18589-
dc.description.abstractGeographical investigations are a core function of public health monitoring, providing the foundation for resource allocation and policies for reducing health inequalities. The aim of this study was to develop geodemographic area classification based on several area-level indicators and to explore the extent of geographical inequalities in mortality. A series of 19 area-level socioeconomic indicators were used from the 2011 national population census. After normalization and standardization of the geographically smoothed indicators, the k-means cluster algorithm was implemented to classify communities into groups based on similar characteristics. The association between geodemographic area classification and the spatial distribution of mortality was estimated in Poisson log-linear spatial models. The k-means algorithm resulted in four distinct clusters of areas. The most characteristic distinction was between the ageing, socially isolated, and resource-scarce rural communities versus metropolitan areas with younger population, higher educational attainment, and professional occupations. By comparison to metropolitan areas, premature mortality appeared to be 44% (95% Credible Intervals CrI of Rate Ratio (RR): 1.06–1.91) higher in traditional rural areas and 36% (95% CrI of RR: 1.13–1.62) higher in young semi-rural areas. These findings warrant future epidemiological studies investigating various causes of the urban-rural differences in premature mortality and implementation policies to reduce the mortality gap between urban and rural areas.en_US
dc.formatpdfen_US
dc.language.isoenen_US
dc.relation.ispartofInternational Journal of Environmental Research and Public Healthen_US
dc.rights© by the authors.en_US
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/us/*
dc.subjectCyprusen_US
dc.subjectPoisson spatial modelen_US
dc.subjectArea classificationen_US
dc.subjectCluster analysisen_US
dc.subjectGeodemographicsen_US
dc.subjectHealth inequalitiesen_US
dc.subjectMortalityen_US
dc.titleGeodemographic area classification and association with mortality: An ecological study of small areas of Cyprusen_US
dc.typeArticleen_US
dc.collaborationEuropean University Cyprusen_US
dc.collaborationCyprus University of Technologyen_US
dc.collaborationOpen University Cyprusen_US
dc.subject.categoryHealth Sciencesen_US
dc.journalsOpen Accessen_US
dc.countryCyprusen_US
dc.subject.fieldMedical and Health Sciencesen_US
dc.publicationPeer Revieweden_US
dc.identifier.doi10.3390/ijerph16162927en_US
dc.identifier.pmid31443199-
dc.identifier.scopus2-s2.0-85071483414-
dc.identifier.urlhttps://api.elsevier.com/content/abstract/scopus_id/85071483414-
dc.relation.issue16en_US
dc.relation.volume16en_US
cut.common.academicyear2019-2020en_US
item.fulltextWith Fulltext-
item.languageiso639-1en-
item.grantfulltextopen-
item.openairecristypehttp://purl.org/coar/resource_type/c_6501-
item.cerifentitytypePublications-
item.openairetypearticle-
crisitem.journal.journalissn1660-4601-
crisitem.journal.publisherMDPI-
crisitem.author.deptDepartment of Nursing-
crisitem.author.deptDepartment of Nursing-
crisitem.author.facultyFaculty of Health Sciences-
crisitem.author.facultyFaculty of Health Sciences-
crisitem.author.orcid0000-0001-6358-8591-
crisitem.author.parentorgFaculty of Health Sciences-
crisitem.author.parentorgFaculty of Health Sciences-
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