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Determination of energy expenditure in professional cyclists using power data: Validation against doubly labeled water.

Bas Van HoorenMaartje CoxGerard RietjensGuy Plasqui
Published in: Scandinavian journal of medicine & science in sports (2022)
We show that the proposed approach leads to a more accurate estimation of non-exercise EE than the use of a generic PAL-value in combination with BMR predictive equations developed for non-elite athletes, with the latter underestimating non-exercise EE by ~28%. The proposed approach may therefore improve nutritional strategies in professional cyclists.
Keyphrases
  • high intensity
  • physical activity
  • resistance training
  • body composition
  • big data
  • pet imaging
  • computed tomography
  • artificial intelligence
  • data analysis
  • liquid chromatography