Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/28002
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dc.contributor.authorSharifi, Farshaden_UK
dc.contributor.authorGhaderpanahi, Maryamen_UK
dc.contributor.authorFakhrzadeh, Hosseinen_UK
dc.contributor.authorMirarefin, Mojdeen_UK
dc.contributor.authorBadamchizadeh, Zohreen_UK
dc.contributor.authorTajalizadekhoob, Yaseren_UK
dc.contributor.authorFadayivatan, Rezaen_UK
dc.contributor.authorPhilp, Ianen_UK
dc.contributor.authorLarijani, Bagheren_UK
dc.date.accessioned2018-10-19T00:01:12Z-
dc.date.available2018-10-19T00:01:12Z-
dc.date.issued2012-01-31en_UK
dc.identifier.urihttp://hdl.handle.net/1893/28002-
dc.description.abstractAims: In the elderly, mortality prediction models are important for clinical decision‐making and planning of services required. Methods: A total of 247 Kahrizak Charity Foundation (KCF) residents aged ≥65 years were followed up for approximately 39 months. At the baseline, the questionnaires of Barthel Index (BI), Mini‐Mental State Examination, Geriatric Depression Scale, Mini Nutritional Assessment and Norton Index was given. Medical history was recorded and anthropometric values were also measured at the baseline. Fasting blood samples were collected at baseline. Mortality and its causes were recorded during the study. Results: A total of 30% (74) of participants died during the study. The variables that had a significant association with mortality in the Cox regression hazard model were entered into the principal components analysis (PCA). The older people's mortality index (OPMI) was developed by four variables extracted from PCA, including BI, age, hemoglobin and mid‐arm circumference. Cut‐points of these components were calculated using ROC curve analysis. Based on neural network analysis, there was no significant difference in relative importance of OPMI components. OPMI was correlated to mortality (r=−0.351, P=0.000) and survival (r=−0.355, P=0.000). OPMI score was defined as the number of adverse predictors present. An increasing hazard ratio for mortality was observed from scores 1 to 4 (2.10, 4.56, 7.12 and 13.85, respectively). Conclusion: Our suggested model could predict mortality in KCF residents well. The new developed model could be a practical, easy and non‐expensive index for mortality prediction in elderly care facilities. Geriatr Gerontol Int 2012; 12: 36–45.en_UK
dc.language.isoenen_UK
dc.publisherWileyen_UK
dc.relationSharifi F, Ghaderpanahi M, Fakhrzadeh H, Mirarefin M, Badamchizadeh Z, Tajalizadekhoob Y, Fadayivatan R, Philp I & Larijani B (2012) Older people's mortality index: Development of a practical model for prediction of mortality in nursing homes (Kahrizak Elderly Study). Geriatrics and Gerontology International, 12 (1), pp. 36-45. https://doi.org/10.1111/j.1447-0594.2011.00724.x.en_UK
dc.rightsThe publisher does not allow this work to be made publicly available in this Repository. Please use the Request a Copy feature at the foot of the Repository record to request a copy directly from the author. You can only request a copy if you wish to use this work for your own research or private study.en_UK
dc.subjectActivities of daily livingen_UK
dc.subjectageden_UK
dc.subjectmortalityen_UK
dc.subjectnursing homeen_UK
dc.subjectsurvivalen_UK
dc.titleOlder people's mortality index: Development of a practical model for prediction of mortality in nursing homes (Kahrizak Elderly Study)en_UK
dc.typeJournal Articleen_UK
dc.rights.embargodate2999-12-31en_UK
dc.rights.embargoreason[Sharifi_et_al-2012.pdf] The publisher does not allow this work to be made publicly available in this Repository therefore there is an embargo on the full text of the work.en_UK
dc.identifier.doi10.1111/j.1447-0594.2011.00724.xen_UK
dc.identifier.pmid21729224en_UK
dc.citation.jtitleGeriatrics and Gerontology Internationalen_UK
dc.citation.issn1447-0594en_UK
dc.citation.issn1444-1586en_UK
dc.citation.volume12en_UK
dc.citation.issue1en_UK
dc.citation.spage36en_UK
dc.citation.epage45en_UK
dc.citation.publicationstatusPublisheden_UK
dc.citation.peerreviewedRefereeden_UK
dc.type.statusVoR - Version of Recorden_UK
dc.author.emailian.philp@stir.ac.uken_UK
dc.citation.date06/07/2011en_UK
dc.contributor.affiliationTehran University of Medical Scienceen_UK
dc.contributor.affiliationTehran University of Medical Scienceen_UK
dc.contributor.affiliationTehran University of Medical Scienceen_UK
dc.contributor.affiliationTehran University of Medical Scienceen_UK
dc.contributor.affiliationTehran University of Medical Scienceen_UK
dc.contributor.affiliationTehran University of Medical Scienceen_UK
dc.contributor.affiliationUniversity of Social Welfare and Rehabilitation Sciencesen_UK
dc.contributor.affiliationUniversity of Warwicken_UK
dc.contributor.affiliationTehran University of Medical Scienceen_UK
dc.identifier.isi000298481600007en_UK
dc.identifier.scopusid2-s2.0-84155195316en_UK
dc.identifier.wtid948205en_UK
dc.contributor.orcid0000-0002-3972-6496en_UK
dc.date.accepted2011-05-05en_UK
Appears in Collections:Faculty of Social Sciences Journal Articles

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