Relationships Between Training Load, Sleep Duration, and Daily Well-Being and Recovery Measures in Youth Athletes

Pediatr Exerc Sci. 2018 Aug 1;30(3):345-352. doi: 10.1123/pes.2017-0190. Epub 2018 Feb 24.

Abstract

Purpose: To assess the relationships between training load, sleep duration, and 3 daily well-being, recovery, and fatigue measures in youth athletes.

Methods: Fifty-two youth athletes completed 3 maximal countermovement jumps (CMJs), a daily well-being questionnaire (DWB), the perceived recovery status scale (PRS), and provided details on their previous day's training loads (training) and self-reported sleep duration (sleep) on 4 weekdays over a 7-week period. Partial correlations, linear mixed models, and magnitude-based inferences were used to assess the relationships between the predictor variables (training and sleep) and the dependent variables (CMJ, DWB, and PRS).

Results: There was no relationship between CMJ and training (r = -.09; ±.06) or sleep (r = .01; ±.06). The DWB was correlated with sleep (r = .28; ±.05, small), but not training (r = -.05; ±.06). The PRS was correlated with training (r = -.23; ±.05, small), but not sleep (r = .12; ±.06). The DWB was sensitive to low sleep (d = -0.33; ±0.11) relative to moderate; PRS was sensitive to high (d = -0.36; ±0.11) and low (d = 0.29; ±0.17) training relative to moderate.

Conclusions: The PRS is a simple tool to monitor the training response, but DWB may provide a greater understanding of the athlete's overall well-being. The CMJ was not associated with the training or sleep response in this population.

Keywords: adolescent; athlete monitoring; athletic training; physical performance; sport physiology.

MeSH terms

  • Adolescent
  • Athletes
  • Exercise Test
  • Fatigue*
  • Humans
  • Physical Conditioning, Human*
  • Self Report
  • Sleep*
  • Surveys and Questionnaires
  • Time Factors*