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dc.contributor.authorMontemurro, Alessio
dc.contributor.authorRuiz Cárdenas, Juan Diego
dc.contributor.authorMartínez García, María del Mar
dc.contributor.authorRodríguez Juan, Juan José
dc.date.accessioned2024-07-18T08:03:27Z
dc.date.available2024-07-18T08:03:27Z
dc.date.issued2023
dc.identifier.citationRuiz-Cárdenas JD, Montemurro A, Del Mar Martínez-García M, Rodríguez-Juan JJ. Concurrent and discriminant validity and reliability of an Android App to assess time, velocity and power during sit-to-stand test in community-dwelling older adults. Aging Clin Exp Res. 2023;35(8):1631-40.es
dc.identifier.issn1594-0667
dc.identifier.urihttp://hdl.handle.net/10952/8015
dc.description.abstractIntroduction Nowadays,smartphonesareequippedwiththemostsophisticatedhardwarewhichprovidestheopportunityto develop specific smartphone apps to analyze kinetic and kinematic parameters during sit-to-stand test in a clinical setting. The aims were to ascertain whether a new Android video-analysis based-App is comparable to the previously validated Apple- App for measuring time, velocity and power during sit-to-stand test, to determine its reliability and discriminant validity. Methods One-hundred sixty-one older adults (61–86 years) were recruited from an elderly social center. Sit-to-stand vari- ables were simultaneously recorded through the Android and Apple-App. Their validity and inter-rater, intra-rater, and test–retest reliability was tested using an intraclass correlation coefficient (ICC2-1). Low gait speed (< 1.0 m/s), low physi- cal performance (Short Physical Performance Battery < 10 points), and sarcopenia (EWGSOP2 guideline) were used to determine discriminant validity which was reported as the area under the curves (AUC) and their effect sizes (Hedges’ g) for independent sample t-test. Results Excellent reproducibility (ICC2-1 > 0.85) and strong agreement (ICC2-1 > 0.90) between operating systems for sit- to-stand variables derived from the App was found. Older adults classified as sarcopenic (11.2%), low physical performance (15.5%), or reduced gait speed (14.3%) showed worse sit-to-stand time, velocity and power with large effect sizes (Hedges’ g: > 0.8) compared to their respective counterpart. These variables showed the acceptable-to-excellent ability to identify low gait speed, low physical performance, and sarcopenic older adults (AUC-range: 0.73–0.82). Conclusion The new Sit-to-Stand App running on the Android operating system is comparable to the previously validated Apple App. Excellent reproducibility and acceptable-to-excellent discriminant validity were found.es
dc.language.isoenes
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectAginges
dc.subjectOlderes
dc.subjectElderlyes
dc.subjectValidityes
dc.subjectSmartphonees
dc.subjectAndroides
dc.subjectGait speedes
dc.subjectSarcopeniaes
dc.subjectWalking speedes
dc.titleConcurrent and discriminant validity and reliability of an Android App to assess time, velocity and power during sit-to-stand test in community-dwelling older adultses
dc.typearticlees
dc.rights.accessRightsopenAccesses
dc.journal.titleAging Clinical and Experimental Researches
dc.volume.number35es
dc.issue.number8es
dc.description.disciplineTerapia y Rehabilitaciónes
dc.identifier.doi10.1007/s40520-023-02451-6es


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Attribution-NonCommercial-NoDerivatives 4.0 Internacional
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