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, smartphones are equipped with the most sophisticated hardware which provides the opportunity to 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-...

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Publicado en:Aging Clinical & Experimental Research Vol. 35; no. 8; pp. 1631 - 1641
Autores principales: Ruiz-Cárdenas, Juan D., Montemurro, Alessio, del Mar Martínez-García, María, Rodríguez-Juan, Juan J.
Formato: pictorial research tables/charts Journal Article
Publicado: Springer Nature Aug2023
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Aug2023
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      pub: Springer Nature
      place: New York, New York
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        10.1007/s40520-023-02451-6
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        atl: 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.
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        au:
          Ruiz-Cárdenas, Juan D.
          Montemurro, Alessio
          del Mar Martínez-García, María
          Rodríguez-Juan, Juan J.
        affil: Physiotherapy Department, Faculty of Physiotherapy, Podiatry and Occupational Therapy, Universidad Católica de Murcia, Av. de los Jerónimos, 135, Guadalupe de Maciascoque, 30107, Murcia, Spain
      sug:
        subj:
          Community Living In Old Age
          Physical Endurance Evaluation
          Muscle Strength Evaluation
          Mobile Applications Evaluation
          Instrument Validation
          Concurrent Validity Evaluation
          Discriminant Validity Evaluation
          Human
          Male
          Female
          Middle Age
          Aged
          Aged, 80 and Over
          Validation Studies
          Funding Source
          Interrater Reliability
          Intrarater Reliability
          Test-Retest Reliability
          Intraclass Correlation Coefficient
          Gait
          Walking Speed
          Physical Performance
          Sarcopenia Diagnosis
          T-Tests
          Reproducibility of Results
          Clinical Assessment Tools
          Middle Aged: 45-64 years
          Aged: 65+ years
          Aged, 80 & over
          Male
          Female
      ab: Introduction: Nowadays, smartphones are equipped with the most sophisticated hardware which provides the opportunity to 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 variables 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 physical 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.
      pubtype: Academic Journal
      doctype:
        pictorial
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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