Nursing home residents: the dimension of frailty

dc.contributor.authorRaposo, P.
dc.contributor.authorNogueira, D.
dc.contributor.authorReis, E.
dc.contributor.authorSerrasqueiro, R. M.
dc.date.accessioned2017-04-20T16:34:40Z
dc.date.available2017-04-20T16:34:40Z
dc.date.issued2017
dc.date.updated2019-03-21T17:56:03Z
dc.description.abstractBackground: Frailty is a state of increased vulnerability with multisystem loss of physiologic reserves and decreased response to stressors, predicting adverse health outcomes. The phenotype of frailty is characterized by unintentional weight loss, self-reported exhaustion, weakness (low grip strength), slow walking speed, and low physical activity. This study aimed at assessing the prevalence and characteristics of frailty in a sample of institutionalized older people to identify a target intervention group. Methods: This is a descriptive cross-sectional and correlational study. Participants were 226 men and women living in nursing home facilities. Frailty was assessed using the phenotype of frailty. Sociodemographic, health status, physical and cognitive function, and depression data were collected. Relations between variables were analyzed using parametric (t test, Pearson coefficient) and nonparametric (chi-square and Spearman coefficient) tests. A multiple linear regression model was applied to assess the relationship between the frailty criteria and a set of predictor variables. Results: Assessment of frailty was possible in 35.3% of the subjects and 41.5% were found frail, 52.1% prefrail, and 6.4% nonfrail. Three frailty criteria had higher prevalence: weakness (76.6%), low physical activity (61.7%), and low walking speed (52.1%). The number of frailty criteria per subject was significantly correlated with cognitive status and depressive symptoms, and there was weak, though significant, correlation with the Barthel Index. Participants in frailty tests had a better functional and cognitive state than those unable to participate. No significant difference in depressive symptoms was found between these 2 groups. The multiple regression model explained only 21.6% of the variation of frailty. Conclusions: Subjects revealed low social status, advanced age comorbidity, and multifactorial incapacity. In a nursing home setting, frail and prefrail elderly stand out as a subset in the sample with higher functional status, as opposed to the usual findings in community-dwelling older adults. These facts should help recognize them as a target intervention group, as frail elderly are vulnerable and their needs might be underestimated in a setting where highly dependent people represent a huge burden for caretakers. Targeted interventions may improve their condition, prevent adverse health events, and preserve quality of life.eng
dc.description.versioninfo:eu-repo/semantics/acceptedVersion
dc.distributionInternacionalpor
dc.identifier.doi10.1097/TGR.0000000000000135
dc.identifier.issn0882-7524
dc.identifier.urihttp://hdl.handle.net/10071/13077
dc.journalTopics in Geriatric Rehabilitation
dc.language.isoeng
dc.number1
dc.pagination72 - 82
dc.peerreviewedyes
dc.publicationstatusPublicadopor
dc.publisherLippincott, Williams and Wilkins
dc.relationinfo:eu-repo/grantAgreement/FCT/5876/147442/PT
dc.rightsopen access
dc.subjectOlder peopleeng
dc.subjectFrailtyeng
dc.subjectInstitutionalizationeng
dc.subject.fosDomínio/Área Científica::Ciências Médicas::Medicina Clínicapor
dc.titleNursing home residents: the dimension of frailtyeng
dc.typearticle
dc.volume33
degois.publication.firstPage72
degois.publication.issue1
degois.publication.lastPage82
degois.publication.titleNursing home residents: the dimension of frailtyeng
dspace.entity.typePublicationen
iscte.alternateIdentifiers.scopus2-s2.0-85012054058
iscte.alternateIdentifiers.wosWOS:000393716800009
iscte.identifier.cienciahttps://ciencia.iscte-iul.pt/id/ci-pub-33191

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