Accepted for/Published in: JMIR mHealth and uHealth
Date Submitted: May 29, 2019
Open Peer Review Period: Jun 3, 2019 - Jul 29, 2019
Date Accepted: Oct 27, 2020
(closed for review but you can still tweet)
Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.
Validity and reliability of the 2kmFIT smartphone app for measuring cardiorespiratory fitness-VO2max
ABSTRACT
Background:
There is strong evidence suggesting that higher levels of CRF are associated with a healthier metabolic profile and is a powerful predictor of morbidity and mortality. In this context, a smartphone app based on UKK-Test would provide the possibility to assess CRF remotely in individuals geographically distributed around a country, or continent or inter-continent with minimal equipment and low-costs involved.
Objective:
The overall aim of this study was to evaluate the validity and reliability of 2kmFIT-App developed for Android and iOS mobile operating systems to estimate cardiorespiratory fitness (CRF). The specific aims of the study were to determine the validity of 2kmFIT-App to track distance and calculate heart rate (HR).
Methods:
Twenty participants were included for field-testing validation and reliability analysis. The participants completed twice the 2-km walk test (UKK-Test) using the 2kmFIT-App and CRF, distance and HR were collected.
Results:
The validity results showed that the mean difference was: distance (-70.40 ± 51.47 m), criterion time (-0.59 ± 0.45 min), criterion HR (-16.75 ± 9.96 bpm) and criterion VO2max (3.59 ± 2.01 ml/kg/min). There was a moderate validity for HR (ICC=0.731, CI=-0.211 to 0.942) and good for VO2max (ICC=0.878, CI =-0.125 to 0.972). The reliability results showed that the mean difference was: app distance (25.99 ± 43.21 m), app time (-0.15 ± 0.94 s), pace (-0.18 ± 0.33 min/km), app HR (-4.5 ± 13.44 bpm) and app VO2max (0.92 ± 3.04 ml/kg/min). There was a good reliability as revealed by the ICC for app HR (ICC=0.897, CI=0.742 to 0.959), and excellent for app VO2max (ICC=0.932, CI=0.830 to 0.973).
Conclusions:
The present study finds 2kmFIT-App to be a new and scientifically valid and reliable tool able to objectively and remotely estimate CRF, HR, and distance in Android but not in the iOS mobile operating system.
Citation
Request queued. Please wait while the file is being generated. It may take some time.
Copyright
© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.