The aim of this study was to assess the accuracy of three different sport watches in estimating energy expenditure during aerobic and anaerobic running.
Twenty trained subjects ran at different intensities while wearing three commercial sport watches (Suunto Ambit2, Garmin Forerunner920XT, and Polar V800). Indirect calorimetry was used as the criterion measure for assessing energy expenditure. Different formulas were applied to compute energy expenditure from the gas exchange values for aerobic and anaerobic running.
The accuracy of the energy expenditure estimations was intensity-dependent for all tested watches. During aerobic running (4–11 km/h), mean absolute percentage error values of −25.16% to +38.09% were observed, with the Polar V800 performing most accurately (stage 1: −12.20%, stage 2: −3.61%, and stage 3: −4.29%). The Garmin Forerunner920XT significantly underestimated energy expenditure during the slowest stage (stage 1: −25.16%), whereas, the Suunto Ambit2 significantly overestimated energy expenditure during the two slowest stages (stage 1: 38.09%, stage 2: 36.29%). During anaerobic running (14–17 km/h), all three watches significantly underestimated energy expenditure by −21.62% to −49.30%. Therefore, the error in estimating energy expenditure systematically increased as the anaerobic running speed increased.
To estimate energy expenditure during aerobic running, the Polar V800 is recommended. By contrast, the other two watches either significantly overestimated or underestimated energy expenditure during most running intensities. The energy expenditure estimations generated during anaerobic exercises revealed large measurement errors in all tested sport watches. Therefore, the algorithms for estimating energy expenditure during intense activities must be improved before they can be used to monitor energy expenditure during high-intensity physical activities.
Blair SN, Horton E, Leon AS, Lee IM, Drinkwater BL, Dishman RK, Mackey M, Kienholz ML. Physical activity, nutrition, and chronic disease. Med Sci Sports Exerc. 1996;28:335–49. PubMed
Medbo JI, Mohn AC, Tabata I, Bahr R, Vaage O, Sejersted OM. Anaerobic capacity determined by maximal accumulated O2 deficit. J Appl Physiol (1985). 1988;64:50–60.
Borg GA. Perceived exertion as an indicator of somatic stress. Scand J Rehabil Med. 1970;2:92–8. PubMed
Frayn KN. Calculation of substrate oxidation rates in vivo from gaseous exchange. J Appl Physiol Respir Environ Exerc Physiol. 1983;55:628–34. PubMed
Peronnet F, Massicotte D. Table of nonprotein respiratory quotient: an update. Can J Sport Sci. 1991;16:23–9. PubMed
Mifflin MD, St Jeor ST, Hill LA, Scott BJ, Daugherty SA, Koh YO. A new predictive equation for resting energy expenditure in healthy individuals. Am J Clin Nutr. 1990;51:241–7. PubMed
Astrup A, Tremblay A: Energy metabolism. In Introduction to human nutrition . 2nd edition. Edited by J GM, Lanham-New SA, Cassidy A, Vorster HH. Oxford: Wiley-Blackwell; 2009: 31-48.
Koehler K, de Marees M, Braun H, Schaenzer W. Evaluation of two portable sensors for energy expenditure assessment during high-intensity running. Eur J Sport Sci. 2013;13:31–41. CrossRef
Gross M, Hoppeler H, Vogt M. Quantification of the metabolic and physical demands of the 90-second box jump. J Athl Enhancement. 2014;3:1–7.
Gastin PB, Cayzer C, Dwyer D, Robertson S. Validity of the ActiGraph GT3X+ and BodyMedia SenseWear Armband to estimate energy expenditure during physical activity and sport. J Sci Med Sport. 2017;S1440-2440(17)30983-0. doi: 10.1016/j.jsams.2017.07.022. [Epub ahead of print]
Shcherbina A, Mattsson CM, Waggott D, Salisbury H, Christle JW, Hastie T, Wheeler MT, Ashley EA. Accuracy in wrist-worn, sensor-based measurements of heart rate and energy expenditure in a diverse cohort. J Pers Med. 2017;7(2):1–12.
- Validity of sports watches when estimating energy expenditure during running
- BioMed Central
Neu im Fachgebiet Orthopädie und Unfallchirurgie
Mail Icon II