This report presents evidence that longer time spent asleep and longer time spent in REM sleep are both positively correlated with next-day swimming performance and athletes on the WHOOP system were able to use the provided analytics to positively impact their sleep patterns from mid-season to the championships. This report also introduces the elite college swimmer as an ideal subject for investigating the effects of sleep duration and quality on athletic performance. Finally, a novel method of measuring performance improvements is introduced which is robust against performance variations caused by cycles of training and tapering.
Sleep as a Predictor of Swimming Performance in NCAA Division I Collegiate Athletes
April 25, 2016