Show simple item record

dc.contributor.authorHunter, Lyndal
dc.contributor.authorRobb, Walter
dc.contributor.authorBrownie, Sharon
dc.date.accessioned2017-10-06T12:30:33Z
dc.date.available2017-10-06T12:30:33Z
dc.date.issued2014
dc.identifier.issn23746947
dc.identifier.doi10.15406/jdmdc.2014.01.00024
dc.identifier.urihttp://hdl.handle.net/10072/65618
dc.description.abstractThe accuracy of disease metrics is dependent on the quality of population-based data. Many diseases, including diabetes, are age and sex dependant. Accurate age- and sex-specific population survey data, population estimates and projections are required to assess the scale and trends in the burden of these diseases. No assessment of the quality of population data being used in the UAE diabetes metrics has been published. We provide insight into the availability and quality of published population data, which is currently being used to inform diabetes research and health services planning in the UAE. We show the absence of credible population-based data impedes the accurate assessment of disease prevalence, incidence and trends. This means that many statements about the burden of this disease in relative and absolute terms are not robust. There has been only one study of sufficient reliability of the prevalence of diabetes in the UAE and this was undertaken in 2000. Hence the calculation and reporting of trends is problematic. Population estimates for the UAE are based on out of date data and are extremely variable. Population projections for the UAE and other Middle East countries with large expatriate labour forces are improbable. The clinical and other implications of accurate population-based metrics are wide reaching. If prevalence rates are to be used to guide public policy and infrastructure planning, then we need to use valid data, including population and population-based data. Whilst specific reference is made to diabetes, and the issues affecting the United Arab Emirates and the Gulf Cooperation Council Countries of the Middle East; the impact of inaccurate population-based metrics have application in other regions, and other diseases.
dc.description.peerreviewedYes
dc.description.publicationstatusYes
dc.format.extent4162330 bytes
dc.format.mimetypeapplication/pdf
dc.languageEnglish
dc.language.isoeng
dc.publisherMedCrave
dc.publisher.placeUnited States
dc.relation.ispartofstudentpublicationN
dc.relation.ispartofpagefrom00024-1
dc.relation.ispartofpageto00024-9
dc.relation.ispartofissue4
dc.relation.ispartofjournalJournal of Diabetes, Metabolic Disorders & Control
dc.relation.ispartofvolume1
dc.rights.retentionY
dc.subject.fieldofresearchNursing not elsewhere classified
dc.subject.fieldofresearchcode111099
dc.titleThe “Secret” Impact of Population Statistics on the Metrics of Diabetes
dc.typeJournal article
dc.type.descriptionC1 - Articles
dc.type.codeC - Journal Articles
gro.facultyGriffith Health, School of Public Health
gro.rights.copyright© The Author(s) 2014. The attached file is reproduced here in accordance with the copyright policy of the publisher. For information about this journal please refer to the journal’s website or contact the authors.
gro.hasfulltextFull Text
gro.griffith.authorBrownie, Sharon M.
gro.griffith.authorRobb, Walter
gro.griffith.authorHunter, Lyndal


Files in this item

This item appears in the following Collection(s)

  • Journal articles
    Contains articles published by Griffith authors in scholarly journals.

Show simple item record