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Validity of an iPhone App to detect Prefrailty and Sarcopenia Syndromes in community-dwelling older adults: the protocol for a diagnostic accuracy study

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dc.contributor.authorMontemurro, Alessio
dc.contributor.authorRuiz Cárdenas, Juan D.
dc.contributor.authorMartínez García, María del Mar
dc.contributor.authorRodríguez Juan, Juan José
dc.contributor.departmentFisioterapia
dc.date.accessioned2025-01-30T17:35:54Z
dc.date.available2025-01-30T17:35:54Z
dc.date.issued2022-08-11
dc.description© 2022 by the authors. This manuscript version is made available under the CC-BY 4.0 license http://creativecommons.org/licenses/by/4.0/ This document is the Published Manuscript version of a Published Work that appeared in final form in Sensors. To access the final edited and published work see https://doi.org/10.3390/s22166010es
dc.description.abstractPrefrailty and sarcopenia in combination are more predictive of mortality than either condition alone. Early detection of these syndromes determines the prognosis of health-related adverse events since both conditions can be reversed through appropriate interventions. Nowadays, there is a lack of cheap, portable, rapid, and easy-to-use tools for detecting prefrailty and sarcopenia in combination. The aim of this study is to validate an iPhone App to detect prefrailty and sarcopenia syndromes in community-dwelling older adults. A diagnostic test accuracy study will include at least 400 participants aged 60 or over without cognitive impairment and physical disability recruited from elderly social centers of Murcia (Spain). Sit-to-stand muscle power measured through a slow-motion video analysis mobile application will be considered as the index test in combination with muscle mass (calf circumference or upper mid-arm circumference). Frailty syndrome (Fried’s Phenotype) and sarcopenia (EWGSOP2) will both be considered as reference standards. Sensibility, specificity, positive and negative predictive values and likelihood ratios will be calculated as well as the area under the curve of the receiver operating characteristic. This mobile application will add the benefit for screening large populations in short time periods within a field-based setting, where space and technology are often constrained (NCT05148351).es
dc.formatapplication/pdfes
dc.format.extent10es
dc.identifier.citationSensors, 2022, Vol. 22 (16) :
dc.identifier.doihttps://doi.org/10.3390/s22166010
dc.identifier.issnElectronic: 1424-8220
dc.identifier.urihttp://hdl.handle.net/10201/149799
dc.languageenges
dc.publisherMDPIes
dc.relationThis research and the APC was funded by Universidad Católica de Murcia, grant number PMAFI-07/19.es
dc.relation.publisherversionhttps://www.mdpi.com/1424-8220/22/16/6010es
dc.rightsinfo:eu-repo/semantics/openAccesses
dc.rightsAtribución 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectAginges
dc.subjectSit to standes
dc.subjectFrailes
dc.subjectSarcopeniaes
dc.subjectFunctional capacityes
dc.subjectMuscle poweres
dc.subjectChair risees
dc.subjectSmartphonees
dc.titleValidity of an iPhone App to detect Prefrailty and Sarcopenia Syndromes in community-dwelling older adults: the protocol for a diagnostic accuracy studyes
dc.typeinfo:eu-repo/semantics/articlees
dspace.entity.typePublicationes
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