Construct Validity and Test–Retest Reliability of a Free Mobile Application to Evaluate Aerobic Capacity and Endurance in Post-COVID-19 Syndrome Patients—A Pilot Study

Author:

Cano-de-la-Cuerda RobertoORCID,Jiménez-Antona CarmenORCID,Melián-Ortiz Alberto,Molero-Sánchez Alberto,Gil-de Miguel ÁngelORCID,Lizcano-Álvarez ÁngelORCID,Hernández-Barrera Valentín,Varillas-Delgado DavidORCID,Laguarta-Val Sofía

Abstract

Introduction: Disability associated with the symptoms of post-COVID-19 syndrome is one of its main features and can have a considerable impact on care and rehabilitation units. This, linked to a decreased aerobic capacity and endurance in post-COVID-19 syndrome patients, increases interest in studying the potential of mobile applications to assess performance capacity. The purpose of this research was to study how a free mobile application assesses aerobic capacity and endurance and its relationship with aerobic capacity, test-retest reliability, and endurance evaluated by a conventional test, along with fatigue and health-related quality of life. Methods: An observational study was conducted. RUNZI®, a free mobile application, was used by mounting a Samsung Galaxy S8 smartphone using a strap on the right forearm while all participants simultaneously performed a 6-Minute Walking Test (6MWT). Construct validity between the 6MWT and the total distance performed evaluated by RUNZI® was explored. Additionally, evaluation scales to assess fatigue (MFIS) and health-related quality of life (SF-36) were used to analyze the construct validity of RUNZI®. For test–retest reliability of the app, the same instructions about the 6MWT and procedure with the app were given to all participants at two different time periods. Results: A total of 16 post-COVID-19 syndrome patients (15 females and 1 male) completed the procedure. Distance measured with the RUNZI® showed an excellent correlation with the 6MWT assessed conventionally (p < 0.0001; r = 0.851). No statistical correlations were found between the distance assessed by the RUNZI® app with MFIS and the SF-36. Test–retest reliability was found to be close to statistical significance (p = 0.058) for distance (m) measured by RUNZI® with an ICC of 0.482. Conclusions: Instrumental 6MWT assessed by the RUNZI® app for the Android® operating system showed an excellent correlation with conventional 6MWT, indicating its construct validity in post-COVID-19 syndrome patients. Further, values for the test–retest reliability for the free mobile application were close to statistical significance with a reliability considered poor in an indoor setting.

Publisher

MDPI AG

Subject

General Medicine

Reference35 articles.

1. Post-COVID-19 syndrome: Epidemiology, diagnostic, criteria and the pathogenic mechanisms involved;Rev. Neurol.,2021

2. Ladds, E., Rushforth, A., Wieringa, S., Taylor, S., Rayner, C., Husain, L., and Greenhalgh, T. (2020). Persistent symptoms after COVID-19: Qualitative study of 114 ‘long COVID’ patients and draft quality principles for services. BMC Health Serv. Res., 20.

3. Cardiopulmonary Exercise Testing to Assess Persistent Symptoms at 6 Months in People With COVID-19 Who Survived Hospitalization: A Pilot Study;Debeaumont;Phys. Ther.,2021

4. Neurorehabilitation and apps: A systematic review of mobile applications;Neurologia,2018

5. Mobile applications in Alzheimer’s disease. A systematic review of the literature;Rehabilitacion,2019

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3