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Functional and Clinical Characteristics for Predicting Sarcopenia in Institutionalised Older Adults: Identifying Tools for Clinical Screening

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Functional and Clinical Characteristics for Predicting Sarcopenia in Institutionalised Older Adults: Identifying Tools for Clinical Screening

dc.contributor.author	Cebrià i Iranzo, Maria dels Àngel
dc.contributor.author	Arnal Gómez, Anna
dc.contributor.author	Tortosa Chuliá, María Angeles
dc.contributor.author	Balasch i Bernat, Mercè
dc.contributor.author	Forcano, Silvia
dc.contributor.author	Sentandreu Mañó, Trinidad
dc.contributor.author	Tomás Miguel, José Manuel
dc.contributor.author	Cezón Serrano, Natalia
dc.date.accessioned	2020-12-10T11:36:10Z
dc.date.available	2020-12-10T11:36:10Z
dc.date.issued	2020
dc.identifier.citation	Cebrià i Iranzo, Maria dels Àngel Arnal Gómez, Anna Tortosa Chuliá, María Angeles Balasch i Bernat, Mercè Forcano, Silvia Sentandreu Mañó, Trinidad Tomas Miguel, Jose Manuel Cezón Serrano, Natalia 2020 Functional and Clinical Characteristics for Predicting Sarcopenia in Institutionalised Older Adults: Identifying Tools for Clinical Screening International Journal Of Environmental Research And Public Health 17 12 4483
dc.identifier.uri	https://hdl.handle.net/10550/76609
dc.description.abstract	Background: Recently, the European Working Group on Sarcopenia in Older People (EWGSOP2) has updated the sarcopenia definition based on objective evaluation of muscle strength, mass and physical performance. The aim of this study was to analyse the relationship between sarcopenia and clinical aspects such as functionality, comorbidity, polypharmacy, hospitalisations and falls in order to support sarcopenia screening in institutionalised older adults, as well as to estimate the prevalence of sarcopenia in this population using the EWGSOP2 new algorithm. Methods: A multicentre cross-sectional study was conducted on institutionalised older adults (n = 132, 77.7% female, mean age 82 years). Application of the EWGSOP2 algorithm consisted of the SARC-F questionnaire, handgrip strength (HG), appendicular skeletal muscle mass index (ASMI) and Short Physical Performance Battery (SPPB). Clinical study variables were: Barthel Index (BI), Abbreviated Charlson's Comorbidity Index (ACCI), number of medications, hospital stays and falls. Results: Age, BI and ACCI were shown to be predictors of the EWGSOP2 sarcopenia definition (Nagelkerke's R-square = 0.34), highlighting the ACCI. Sarcopenia was more prevalent in older adults aged over 85 (p = 0.005), but no differences were found according to gender (p = 0.512). Conclusion: BI and the ACCI can be considered predictors that guide healthcare professionals in early sarcopenia identification and therapeutic approach.
dc.language.iso	eng
dc.relation.ispartof	International Journal Of Environmental Research And Public Health, 2020, vol. 17, num. 12, p. 4483
dc.subject	Fisioteràpia
dc.title	Functional and Clinical Characteristics for Predicting Sarcopenia in Institutionalised Older Adults: Identifying Tools for Clinical Screening
dc.type	journal article	es_ES
dc.date.updated	2020-12-10T11:36:11Z
dc.identifier.doi	10.3390/ijerph17124483
dc.identifier.idgrec	141737
dc.rights.accessRights	open access	es_ES