Literature DB >> 33416503

Smartphone App (2kmFIT-App) for Measuring Cardiorespiratory Fitness: Validity and Reliability Study.

Adria Muntaner-Mas1,2, Antonio Martinez-Nicolas3,4, Alberto Quesada2, Cristina Cadenas-Sanchez2, Francisco B Ortega2,5.   

Abstract

BACKGROUND: There is strong evidence suggesting that higher levels of cardiorespiratory fitness (CRF) are associated with a healthier metabolic profile, and that CRF can serve as a powerful predictor of morbidity and mortality. In this context, a smartphone app based on the 2-km walk test (UKK test) would provide the possibility to assess CRF remotely in individuals geographically distributed around a country or continent, and even between continents, with minimal equipment and low costs.
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 maximum oxygen consumption (VO2max) as an indicator of 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 the UKK test twice using 2kmFIT-App. Distance and HR were measured with the app as well as with accurate methods, and VO2max was estimated using the UKK test equation.
RESULTS: The validity results showed the following mean differences (app minus criterion): distance (-70.40, SD 51.47 meters), time (-0.59, SD 0.45 minutes), HR (-16.75, SD 9.96 beats/minute), and VO2max (3.59, SD 2.01 ml/kg/min). There was moderate validity found for HR (intraclass correlation coefficient [ICC] 0.731, 95% CI -0.211 to 0.942) and good validity found for VO2max (ICC 0.878, 95% CI -0.125 to 0.972). The reliability results showed the following mean differences (retest minus test): app distance (25.99, SD 43.21 meters), app time (-0.15, SD 0.94 seconds), pace (-0.18, SD 0.33 min/km), app HR (-4.5, 13.44 beats/minute), and app VO2max (0.92, SD 3.04 ml/kg/min). There was good reliability for app HR (ICC 0.897, 95% CI 0.742-0.959) and excellent validity for app VO2max (ICC 0.932, 95% CI 0.830-0.973). All of these findings were observed when using the app with an Android operating system, whereas validity was poor when the app was used with iOS.
CONCLUSIONS: This study shows that 2kmFIT-App is a new, scientifically valid and reliable tool able to objectively and remotely estimate CRF, HR, and distance with an Android but not iOS mobile operating system. However, certain limitations such as the time required by 2kmFIT-App to calculate HR or the temperature environment should be considered when using the app. ©Adria Muntaner-Mas, Antonio Martinez-Nicolas, Alberto Quesada, Cristina Cadenas-Sanchez, Francisco B Ortega. Originally published in JMIR mHealth and uHealth (http://mhealth.jmir.org), 08.01.2021.

Entities:  

Keywords:  cardiorespiratory fitness; exercise test; mobile apps; physical fitness; reproducibility of results; telemedicine

Year:  2021        PMID: 33416503      PMCID: PMC7822719          DOI: 10.2196/14864

Source DB:  PubMed          Journal:  JMIR Mhealth Uhealth        ISSN: 2291-5222            Impact factor:   4.773


  25 in total

1.  Validation of a Standalone Smartphone Application for Measuring Heart Rate Using Imaging Photoplethysmography.

Authors:  Ming-Zher Poh; Yukkee C Poh
Journal:  Telemed J E Health       Date:  2017-01-31       Impact factor: 3.536

2.  The Fat but Fit paradox: what we know and don't know about it.

Authors:  Francisco B Ortega; Jonatan R Ruiz; Idoia Labayen; Carl J Lavie; Steven N Blair
Journal:  Br J Sports Med       Date:  2017-06-05       Impact factor: 13.800

3.  A Pulse Rate Estimation Algorithm Using PPG and Smartphone Camera.

Authors:  Sarah Ali Siddiqui; Yuan Zhang; Zhiquan Feng; Anton Kos
Journal:  J Med Syst       Date:  2016-04-11       Impact factor: 4.460

Review 4.  Importance of Assessing Cardiorespiratory Fitness in Clinical Practice: A Case for Fitness as a Clinical Vital Sign: A Scientific Statement From the American Heart Association.

Authors:  Robert Ross; Steven N Blair; Ross Arena; Timothy S Church; Jean-Pierre Després; Barry A Franklin; William L Haskell; Leonard A Kaminsky; Benjamin D Levine; Carl J Lavie; Jonathan Myers; Josef Niebauer; Robert Sallis; Susumu S Sawada; Xuemei Sui; Ulrik Wisløff
Journal:  Circulation       Date:  2016-11-21       Impact factor: 29.690

5.  Accuracy and Usability of a Self-Administered 6-Minute Walk Test Smartphone Application.

Authors:  Gabriel C Brooks; Eric Vittinghoff; Sivaraman Iyer; Damini Tandon; Peter Kuhar; Kristine A Madsen; Gregory M Marcus; Mark J Pletcher; Jeffrey E Olgin
Journal:  Circ Heart Fail       Date:  2015-08-17       Impact factor: 8.790

Review 6.  Mortality trends in the general population: the importance of cardiorespiratory fitness.

Authors:  Duck-chul Lee; Enrique G Artero; Xuemei Sui; Steven N Blair
Journal:  J Psychopharmacol       Date:  2010-11       Impact factor: 4.153

7.  A 2-km walking test for assessing the cardiorespiratory fitness of healthy adults.

Authors:  P Oja; R Laukkanen; M Pasanen; T Tyry; I Vuori
Journal:  Int J Sports Med       Date:  1991-08       Impact factor: 3.118

Review 8.  Use of global positioning systems to study physical activity and the environment: a systematic review.

Authors:  Patricia J Krenn; Sylvia Titze; Pekka Oja; Andrew Jones; David Ogilvie
Journal:  Am J Prev Med       Date:  2011-11       Impact factor: 5.043

9.  Resting and Postexercise Heart Rate Detection From Fingertip and Facial Photoplethysmography Using a Smartphone Camera: A Validation Study.

Authors:  Bryan P Yan; Christy Ky Chan; Christien Kh Li; Olivia Tl To; William Hs Lai; Gary Tse; Yukkee C Poh; Ming-Zher Poh
Journal:  JMIR Mhealth Uhealth       Date:  2017-03-13       Impact factor: 4.773

10.  The Accuracy and Validity of iOS-Based Heart Rate Apps During Moderate to High Intensity Exercise.

Authors:  Alexa M Bouts; Lauren Brackman; Elizabeth Martin; Adam M Subasic; Edward S Potkanowicz
Journal:  Int J Exerc Sci       Date:  2018-01-02
View more
  2 in total

1.  Gait and Axial Spondyloarthritis: Comparative Gait Analysis Study Using Foot-Worn Inertial Sensors.

Authors:  Julie Soulard; Jacques Vaillant; Athan Baillet; Philippe Gaudin; Nicolas Vuillerme
Journal:  JMIR Mhealth Uhealth       Date:  2021-11-09       Impact factor: 4.773

2.  Smartphone-recorded physical activity for estimating cardiorespiratory fitness.

Authors:  Micah T Eades; Athanasios Tsanas; Stephen P Juraschek; Daniel B Kramer; Ernest Gervino; Kenneth J Mukamal
Journal:  Sci Rep       Date:  2021-07-21       Impact factor: 4.996

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.