Influence of faster and slower recovery-profile classifications, self-reported sleep, acute training load, and phase of the microcycle on perceived recovery in futsal players
Wilke, Carolina F., Wanner, Samuel P., Santos, Weslley H.M., Penna, Eduardo M., Ramos, Guilherme P., Nakamura, Fabio Y., and Duffield, Rob (2020) Influence of faster and slower recovery-profile classifications, self-reported sleep, acute training load, and phase of the microcycle on perceived recovery in futsal players. International Journal of Sports Physiology and Performance, 15 (5). pp. 648-653.
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Abstract
Purpose: To determine whether daily perceived recovery is explained from a multifactorial single-session classification of recovery (ie, faster vs slower) or other circumstantial factors (ie, previous training load, self-reported sleep, or phase of the microcycle).
Methods: Nineteen elite male futsal players were initially allocated to a recovery-classification group (faster recovery, slower physiological, or slower perceptual) based on previous research using a multifactorial cluster-analysis technique. During 4 ensuing weeks of preseason, training loads were monitored via player load, training impulse, and session rating of perceived exertion. Before each day's training, players reported their perception of recovery (Total Quality of Recovery scale [TQR]) and the number of hours and perceived quality of sleep the night prior. A hierarchical linear mixed model was used to analyze the effect of the different recovery profiles, training load, sleep, and phase of the microcycle (ie, start, middle, end) on daily TQR.
Results: The recovery classification of players (P= .20), training load (training impulse, P= .32; player load, P= .23; session rating of perceived exertion, P = .46), and self-reported hours slept the night before (P = .45) did not significantly influence TQR. However, perceived sleep quality (P < .01) and phase of the microcycle (P < .01) were significantly associated with TQR (r(2) = .41).
Conclusions: Neither recovery classification nor prior training load influenced perceived recovery during the preseason. However, higher TQR was evident with better self-reported sleep quality, whereas lower values were associated with phases of the training week.
Item ID: | 63795 |
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Item Type: | Article (Research - C1) |
ISSN: | 1555-0273 |
Keywords: | fatigue, recovery monitoring, preseason, team sport, TQR |
Copyright Information: | © 2020 Human Kinetics, Inc. |
Funders: | Fundação de Amparo à Pesquisa do estado de Minas Gerais (FAPEMIG), Brazilian Ministry of Sport (BMS), Coordenação de Aperfeiçoamento de Pessoal de Nível Superior, Brazil (CAPES) |
Projects and Grants: | FAPEMIG APQ-02953-16, CAPES Finance Code 001, CAPES PhD Fellowship |
Date Deposited: | 08 Jul 2020 07:47 |
FoR Codes: | 42 HEALTH SCIENCES > 4207 Sports science and exercise > 420702 Exercise physiology @ 100% |
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