Skip Navigation LinksHome > July 2011 - Volume 43 - Issue 7 > Assessing Energy Expenditure in Male Endurance Athletes: Val...
Medicine & Science in Sports & Exercise:
doi: 10.1249/MSS.0b013e31820750f5
Applied Sciences

Assessing Energy Expenditure in Male Endurance Athletes: Validity of the SenseWear Armband

KOEHLER, KARSTEN1,2; BRAUN, HANS1,2; DE MARÉES, MARKUS2,3; FUSCH, GERHARD4; FUSCH, CHRISTOPH4,5; SCHAENZER, WILHELM1

Collapse Box

Abstract

Purpose: The correct assessment of energy expenditure (EE) in athletes is important to ensure that dietary energy intake is sufficient. In general, athletes are individuals with especially high levels of total EE (TEE) and exercise-related EE (ExEE). The SenseWear Pro3 Armband (SWA) is a multisensor device for the individual assessment of EE, but data on the validity for higher exercise intensities are missing. The aim of the study was to validate the SWA for the assessment of TEE and ExEE in endurance athletes.

Methods: The SWA was worn by 14 male endurance athletes for 7 d during a regular training period, and TEE was measured in parallel with the doubly labeled water method. Two controlled exercise trials (treadmill running = 2.4-4.8 m·s−1, stationary bicycling = 140-380 W) were performed, during which indirect calorimetry was used to assess ExEE.

Results: TEE assessed with the SWA and TEE measured with the doubly labeled water method were significantly correlated (r = 0.73, P < 0.01), but there were a proportional bias and considerably wide limits of agreement (−1368 to 1238 kcal·d−1). The error of TEE assessed with the SWA was related to the athletes' individual lactate thresholds (P < 0.05). During running and bicycling, ExEE was significantly underestimated for most exercise intensities, and the underestimation increased with exercise intensity (P < 0.001).

Conclusions: According to our results, the SWA does not provide valid results of TEE and ExEE in endurance athletes because of the underestimation of EE at higher exercise intensities. It seems necessary to develop exercise-specific prediction equations to improve EE measurements in athletes.

©2011The American College of Sports Medicine

Login

Article Tools

Share

Search for Similar Articles
You may search for similar articles that contain these same keywords or you may modify the keyword list to augment your search.

Connect With Us