Faster and slower posttraining recovery in futsal: multifactorial classification of recovery profiles

Wilke, Carolina F., Fernandes, Felipe Augusto P., Martins, Flavio Vinicius C., Lacerda, Anisio M., Nakamura, Fabio Y., Wanner, Samuel P., and Duffield, Rob (2019) Faster and slower posttraining recovery in futsal: multifactorial classification of recovery profiles. International Journal of Sports Physiology and Performance, 14 (8). pp. 1089-1095.

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Purpose: To investigate the existence of faster vs slower recovery profiles in futsal and factors distinguishing them. Methods: 22 male futsal players were evaluated in countermovement jump, 10-m sprint, creatine kinase, total quality of recovery (TQR), and Brunel Mood Scale (fatigue and vigor) before and immediately and 3, 24, and 48 h posttraining. Hierarchical cluster analysis allocated players to different recovery profiles using the area under the curve (AUC) of the percentage differences from baseline. One-way ANOVA compared the time course of each variable and players' characteristics between clusters. Results: Three clusters were identified and labeled faster recovery (FR), slower physiological recovery (SLphy), and slower perceptual recovery (SLperc). FR presented better AUC in 10-m sprint than SLphy (P = .001) and SLperc (P = .008), as well as better TQR SLphy (P = .018) and SLperc (P = .026). SLperc showed better AUC in countermovement jump than SLphy (P = .014) but presented worse fatigue AUC than SLphy (P = .014) and FR (P = .008). AUC of creatine kinase was worse in SLphy than in FR (P = .001) and SLperc (P < .001). The SLphy players were younger than SLperc players (P = .027), whereas FR were slower 10-m sprinters than SLphy players (P = .003) and SLperc (P = .013) and tended to have higher maximal oxygen consumption than SLphy (effect size = 1.13). Conclusion: Different posttraining recovery profiles exist in futsal players, possibly influenced by their physical abilities and age/experience.

Item ID: 60577
Item Type: Article (Research - C1)
ISSN: 1555-0273
Keywords: cluster analysis, classification analysis, team sport, performance
Copyright Information: © 2019 Human Kinetics, Inc.
Funders: Fundação de Amparo à Pesquisa do Estado de Minas Gerais (FAPEMIG), Coordenacao de Aperfeigoamento de Pessoal de Nivel Superior (CAPES), Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq), Brazilian Ministry of Sport (BMS)
Projects and Grants: FAPEMIG APQ-02953-16, CNPq 309047/2015-3
Date Deposited: 02 Oct 2019 07:46
FoR Codes: 42 HEALTH SCIENCES > 4207 Sports science and exercise > 420702 Exercise physiology @ 100%
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