Literature DB >> 26505223

Physical activity intensity can be accurately monitored by smartphone global positioning system 'app'.

Brett Ashley Gordon1,2, Lyndell Bruce2, Amanda Clare Benson2.   

Abstract

Monitoring physical activity is important to better individualise health and fitness benefits. This study assessed the concurrent validity of a smartphone global positioning system (GPS) 'app' and a sport-specific GPS device with a similar sampling rate, to measure physical activity components of speed and distance, compared to a higher sampling sport-specific GPS device. Thirty-eight (21 female, 17 male) participants, mean age of 24.68, s = 6.46 years, completed two 2.400 km trials around an all-weather athletics track wearing GPSports Pro™ (PRO), GPSports WiSpi™ (WISPI) and an iPhone™ with a Motion X GPS™ 'app' (MOTIONX). Statistical agreement, assessed using t-tests and Bland-Altman plots, indicated an (mean; 95% LOA) underestimation of 2% for average speed (0.126 km·h(-1); -0.389 to 0.642; p < .001), 1.7% for maximal speed (0.442 km·h(-1); -2.676 to 3.561; p = .018) and 1.9% for distance (0.045 km; -0.140 to 0.232; p < .001) by MOTIONX compared to that measured by PRO. In contrast, compared to PRO, WISPI overestimated average speed (0.232 km·h(-1); -0.376 to 0.088; p < .001) and distance (0.083 km; -0.129 to -0.038; p < .001) by 3.5% whilst underestimating maximal speed by 2.5% (0.474 km·h(-1); -1.152 to 2.099; p < .001). Despite the statistically significant difference, the MOTIONX measures intensity of physical activity, with a similar error as WISPI, to an acceptable level for population-based monitoring in unimpeded open-air environments. This presents a low-cost, minimal burden opportunity to remotely monitor physical activity participation to improve the prescription of exercise as medicine.

Entities:  

Keywords:  GPS; activity monitor; aerobic exercise; smartphone application; validity

Mesh:

Year:  2015        PMID: 26505223     DOI: 10.1080/17461391.2015.1105299

Source DB:  PubMed          Journal:  Eur J Sport Sci        ISSN: 1536-7290            Impact factor:   4.050


  7 in total

Review 1.  Mobile Apps to Quantify Aspects of Physical Activity: a Systematic Review on its Reliability and Validity.

Authors:  Anabela G Silva; Patrícia Simões; Alexandra Queirós; Mário Rodrigues; Nelson P Rocha
Journal:  J Med Syst       Date:  2020-01-08       Impact factor: 4.460

2.  Smartphone GPS signatures of patients undergoing spine surgery correlate with mobility and current gold standard outcome measures.

Authors:  Alessandro Boaro; Jeffrey Leung; Harrison T Reeder; Francesca Siddi; Elisabetta Mezzalira; Gang Liu; Rania A Mekary; Yi Lu; Michael W Groff; Jukka-Pekka Onnela; Timothy R Smith
Journal:  J Neurosurg Spine       Date:  2021-08-27

3.  Older Adults' Outdoor Walking: Inequalities in Neighbourhood Safety, Pedestrian Infrastructure and Aesthetics.

Authors:  Razieh Zandieh; Javier Martinez; Johannes Flacke; Phil Jones; Martin van Maarseveen
Journal:  Int J Environ Res Public Health       Date:  2016-11-25       Impact factor: 3.390

4.  Measuring Engagement in eHealth and mHealth Behavior Change Interventions: Viewpoint of Methodologies.

Authors:  Camille E Short; Ann DeSmet; Catherine Woods; Susan L Williams; Carol Maher; Anouk Middelweerd; Andre Matthias Müller; Petra A Wark; Corneel Vandelanotte; Louise Poppe; Melanie D Hingle; Rik Crutzen
Journal:  J Med Internet Res       Date:  2018-11-16       Impact factor: 5.428

5.  Intra- and Inter-Device Reliability of the Change-of-Direction Angles Using a Smartphone Application for Sailing.

Authors:  Jacek Tarnas; Nina Schaffert; Helena Elegańczyk-Kot; Leszek Kostański; Rafał Stemplewski
Journal:  Int J Environ Res Public Health       Date:  2020-05-17       Impact factor: 3.390

6.  Scoping Review of Healthcare Literature on Mobile, Wearable, and Textile Sensing Technology for Continuous Monitoring.

Authors:  N Hernandez; L Castro; J Medina-Quero; J Favela; L Michan; W Ben Mortenson
Journal:  J Healthc Inform Res       Date:  2021-02-01

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

Authors:  Adria Muntaner-Mas; Antonio Martinez-Nicolas; Alberto Quesada; Cristina Cadenas-Sanchez; Francisco B Ortega
Journal:  JMIR Mhealth Uhealth       Date:  2021-01-08       Impact factor: 4.773

  7 in total

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