Metabolic power method: Underestimation of energy expenditure in field-sport movements using a global positioning system tracking system
DM Brown, DB Dwyer… - … journal of sports …, 2016 - journals.humankinetics.com
International journal of sports physiology and performance, 2016•journals.humankinetics.com
The purpose of this study was to assess the validity of a global positioning system (GPS)
tracking system to estimate energy expenditure (EE) during exercise and field-sport
locomotor movements. Twenty-seven participants each completed a 90-min exercise
session on an outdoor synthetic futsal pitch. During the exercise session, they wore a 5-Hz
GPS unit interpolated to 15 Hz and a portable gas analyzer that acted as the criterion
measure of EE. The exercise session was composed of alternating 5-minute exercise bouts …
tracking system to estimate energy expenditure (EE) during exercise and field-sport
locomotor movements. Twenty-seven participants each completed a 90-min exercise
session on an outdoor synthetic futsal pitch. During the exercise session, they wore a 5-Hz
GPS unit interpolated to 15 Hz and a portable gas analyzer that acted as the criterion
measure of EE. The exercise session was composed of alternating 5-minute exercise bouts …
The purpose of this study was to assess the validity of a global positioning system (GPS) tracking system to estimate energy expenditure (EE) during exercise and field-sport locomotor movements. Twenty-seven participants each completed a 90-min exercise session on an outdoor synthetic futsal pitch. During the exercise session, they wore a 5-Hz GPS unit interpolated to 15 Hz and a portable gas analyzer that acted as the criterion measure of EE. The exercise session was composed of alternating 5-minute exercise bouts of randomized walking, jogging, running, or a field-sport circuit (×3) followed by 10 min of recovery. One-way analysis of variance showed significant ( P < .01) and very large underestimations between GPS metabolic power– derived EE and oxygen-consumption (VO 2 ) -derived EE for all field-sport circuits (% difference ≈ –44%). No differences in EE were observed for the jog (7.8%) and run (4.8%), whereas very large overestimations were found for the walk (43.0%). The GPS metabolic power EE over the entire 90-min session was significantly lower ( P < .01) than the VO 2 EE, resulting in a moderate underestimation overall (–19%). The results of this study suggest that a GPS tracking system using the metabolic power model of EE does not accurately estimate EE in field-sport movements or over an exercise session consisting of mixed locomotor activities interspersed with recovery periods; however, is it able to provide a reasonably accurate estimation of EE during continuous jogging and running.
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