@misc{10481/68475,
year = {2021},
url = {http://hdl.handle.net/10481/68475},
abstract = {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. Twentyone 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, p = 0.007), wFatigue, wStress, and wHI were presented. Similarly, wCW reported a
meaningful large association with wDOMS (r = 0.526, p < 0.001); moderate to very large associations
with wFatigue (r = 0.649, p = 0.005), wStress, and wHI. Moreover, wTM presented a large correlation
with wSleep (r = 0.515, p < 0.001); and a negatively small association with wStress (r = −0.426,
p = 0.003). wTS showed a small to large correlation with wSleep (r = 0.400, p = 0.005) and wHI; also,
a large correlation with wDOMS (r = 0.556, p = 0.028) and a moderate correlation with wFatigue
(r = 0.343, p = 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.},
publisher = {MDPI},
keywords = {Athlete monitoring},
keywords = {Fatigue},
keywords = {Football},
keywords = {Performance},
keywords = {Psychological},
keywords = {Soreness},
keywords = {Sports training},
keywords = {Team sports},
keywords = {Young},
title = {Association between Training Load and Well-Being Measures in Young Soccer Players during a Season},
doi = {10.3390/ijerph18094451},
author = {Nobari, Hadi},
}