Association between Training Load and Well-Being Measures in Young Soccer Players during a Season.

Int J Environ Res Public Health

Department of Neurosciences, Biomedicine and Movement Sciences, School of Exercise and Sport Science, University of Verona, 37134 Verona, Italy.

Published: April 2021

This study aimed to analyze the correlations among weekly (w) acute workload (wAW), chronic workload (wCW), acute/chronic workload ratio (wACWR), training monotony (wTM), training strain (wTS), sleep quality (wSleep), delayed onset muscle soreness (wDOMS), fatigue (wFatigue), stress (wStress), and Hooper index (wHI) in pre-, early, mid-, and end-of-season. Twenty-one elite soccer players (age: 16.1 ± 0.2 years) were monitored weekly on training load and well-being for 36 weeks. Higher variability in wAW (39.2%), wFatigue (84.4%), wStress (174.3%), and wHI (76.3%) at the end-of-season were reported. At mid-season, higher variations in wSleep (59.8%), TM (57.6%), and TS (111.1%) were observed. Moderate to very large correlations wAW with wDOMS (r = 0.617, = 0.007), wFatigue, wStress, and wHI were presented. Similarly, wCW reported a meaningful large association with wDOMS (r = 0.526, < 0.001); moderate to very large associations with wFatigue (r = 0.649, = 0.005), wStress, and wHI. Moreover, wTM presented a large correlation with wSleep (r = 0.515, < 0.001); and a negatively small association with wStress (r = -0.426, = 0.003). wTS showed a small to large correlation with wSleep (r = 0.400, = 0.005) and wHI; also, a large correlation with wDOMS (r = 0.556, = 0.028) and a moderate correlation with wFatigue (r = 0.343, = 0.017). Wellness status may be considered a useful tool to provide determinant elite players' information to coaches and to identify important variations in training responses.

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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8122726PMC
http://dx.doi.org/10.3390/ijerph18094451DOI Listing

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