Evans, Daniel A, Jackson, Daniel T, Kelly, Adam L, Williams, Craig A, McAuley, Alexander BT, Knapman, Harry and Morgan, Paul T (2022) Monitoring postmatch fatigue during a competitive season in elite youth soccer players. Journal of Athletic Training, 57 (2). pp. 184-190. ISSN 1062-6050
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Abstract
Context: Countermovement jump (CMJ) and perceived wellness measures are useful for monitoring fatigue. Fatigue indicators should simultaneously show sensitivity to previous load and demonstrate influence on subsequent physical output; however, these factors have not been examined. Objective: To explore the efficacy of CMJ and wellness measures to both detect postmatch fatigue and predict subsequent physical match output in elite youth soccer players. Design: Cross-sectional study. Patients or Other Participants: Sixteen soccer players (18 ± 1 years) from 36 English Football League Youth Alliance League fixtures. Main Outcome Measure(s): Physical match outputs (total distance, high-speed running, very high-speed running, and accelerations and decelerations [AD]) were recorded using a 10-Hz global positioning system and 200-Hz accelerometer device during competitive match play. The CMJ height and perceived wellness were assessed weekly and daily, respectively, as indirect indicators of fatigue. Four subunits of wellness (perceived soreness, energy, general stress, and sleep) were measured using customized psychometric questionnaires. Results: Simple linear regression showed that match AD predicted energy (R 2 = 0.08, P =.001), stress (R 2 = 0.09, P<.001), and total wellness (R 2 = 0.06, P =.002) at 2 days postmatch. The CMJ (R 2 = 0.05, P =.002), stress (R 2 = 0.08, P<.001), sleep (R 2 = 0.03, P =.034), and total wellness (R 2 = 0.05, P =.006) measures at 5 days prematch predicted AD during the subsequent match. Conclusions: The CMJ and wellness measures may be useful for detecting postmatch fatigue. Wellness scores, but not CMJ, at 5 days prematch influenced subsequent match output and therefore may be used to plan and periodize training for the upcoming microcycle.
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Statistics
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