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
Introduction 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...
| Autores: | , , , |
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| Tipo de documento: | artigo |
| Data de publicação: | 2023 |
| País: | España |
| Recursos: | Universidad Católica San Antonio de Murcia (UCAM) |
| Repositório: | RIUCAM. Repositorio Institucional de la Universidad Católica San Antonio de Murcia |
| OAI Identifier: | oai:repositorio.ucam.edu:10952/8015 |
| Acesso em linha: | http://hdl.handle.net/10952/8015 |
| Access Level: | Acceso aberto |
| Palavra-chave: | Aging Older Elderly Validity Smartphone Android Gait speed Sarcopenia Walking speed |
| Resumo: | Introduction 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. |
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