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dc.contributor.authorChilcot, Joseph
dc.contributor.authorNorton, S.
dc.contributor.authorWellsted, D.
dc.contributor.authorAlmond, M.
dc.contributor.authorDavenport, A.
dc.contributor.authorFarrington, Ken
dc.date.accessioned2011-08-19T11:01:03Z
dc.date.available2011-08-19T11:01:03Z
dc.date.issued2011
dc.identifier.citationChilcot , J , Norton , S , Wellsted , D , Almond , M , Davenport , A & Farrington , K 2011 , ' A confirmatory factor analysis of the beck depression inventory - II in end-stage renal disease patients ' , Journal of Psychosomatic Research , vol. 71 , no. 3 , pp. 148-153 . https://doi.org/10.1016/j.jpsychores.2011.02.006
dc.identifier.issn0022-3999
dc.identifier.otherPURE: 325847
dc.identifier.otherPURE UUID: eef0f801-d03e-4ad9-a9e3-ff952ec4ead0
dc.identifier.otherScopus: 80051692891
dc.identifier.urihttp://hdl.handle.net/2299/6323
dc.descriptionOriginal article can be found at : http://www.sciencedirect.com Copyright Elsevier [Full text of this article is not available in the UHRA]
dc.description.abstractObjective : We sought to examine several competing factor structures of the Beck Depression Inventory-II (BDI) in a sample of patients with End-Stage Renal Disease (ESRD), in which setting the factor structure is poorly defined, though depression symptoms are common. In addition, demographic and clinical correlates of the identified factors were examined. Methods : The BDI was administered to clinical sample of 460 ESRD patients attending 4 UK renal centres. Competing models of the factor structure of the BDI were evaluated using confirmatory factor analysis. Reslts : The best fitting model consisted of general depression factor that accounted for 81% of the common variance between all items along with orthogonal cognitive and somatic factors (G-S-C model, CFI = .983, TLI = .979, RMSEA = .037), which explained 8% and 9% of the common variance, respectively. Age, diabetes, and ethnicity were significantly related to the cognitive factor, whereas albumin, dialysis adequacy, and ethnicity were related to the somatic factor. No demographic or clinical variable was associated with the general factor. Conclusion : The general-factor model provides the best fitting and conceptually most acceptable interpretation of the BDI. Furthermore, the cognitive and somatic factors appear to be related to specific demographic and clinical factors.en
dc.language.isoeng
dc.relation.ispartofJournal of Psychosomatic Research
dc.subjectconfirmatory factor analysis
dc.subjectdepression
dc.subjectbeck depression inventory
dc.subjectdialysis
dc.subjectend-stage renal disease
dc.titleA confirmatory factor analysis of the beck depression inventory - II in end-stage renal disease patientsen
dc.contributor.institutionDepartment of Psychology
dc.contributor.institutionHealth & Human Sciences Research Institute
dc.contributor.institutionApplied and Practice-based Research
dc.contributor.institutionSchool of Life and Medical Sciences
dc.contributor.institutionPsychology
dc.contributor.institutionCentre for Lifespan and Chronic Illness Research
dc.contributor.institutionHealth and Clinical Psychology group
dc.contributor.institutionHealth Services and Medicine
dc.contributor.institutionStatistics and Methodology Research group
dc.contributor.institutionHealth Services Research group
dc.contributor.institutionPostgraduate Medicine
dc.contributor.institutionPharmacology and Clinical Science Research
dc.description.statusPeer reviewed
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=80051692891&partnerID=8YFLogxK
rioxxterms.versionVoR
rioxxterms.versionofrecordhttps://doi.org/10.1016/j.jpsychores.2011.02.006
rioxxterms.typeJournal Article/Review
herts.preservation.rarelyaccessedtrue


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