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

Página do item simplificado
dc.creatorCarolina Franco Wilke
dc.creatorFelipe Augusto Pereira Fernandes
dc.creatorFlavio Vinicius Cruzeiro Martins
dc.creatorAnisio Mendes Lacerda
dc.creatorFábio Yuzo Nakamura
dc.creatorSamuel Penna Wanner
dc.creatorRob Duffield
dc.date.accessioned2022-06-03T18:02:54Z
dc.date.accessioned2025-09-09T01:12:43Z
dc.date.available2022-06-03T18:02:54Z
dc.date.issued2019-09
dc.identifier.doihttps://doi.org/10.1123/ijspp.2018-0626
dc.identifier.issn1555-0273
dc.identifier.urihttps://hdl.handle.net/1843/42237
dc.languageeng
dc.publisherUniversidade Federal de Minas Gerais
dc.relation.ispartofInternational Journal of Sports Physiology and Performance
dc.rightsAcesso Restrito
dc.subjectAnalise por conglomerados
dc.subjectAptidão física do atleta
dc.subjectFutsal - Treinamento técnico
dc.subject.otherClassification analysis
dc.subject.otherCluster analysis
dc.subject.otherPerformance
dc.subject.otherTeam sport
dc.titleFaster and slower posttraining recovery in futsal: multifactorial classification of recovery profiles
dc.typeArtigo de periódico
local.citation.epage1095
local.citation.issue8
local.citation.spage1089
local.citation.volume14
local.description.resumoPurpose: 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.
local.identifier.orcidhttps://orcid.org/ 0000-0002-1774-5100
local.identifier.orcidhttps://orcid.org/0000-0002-6666-653X
local.identifier.orcidhttps://orcid.org/ 0000-0002-5336-3652
local.identifier.orcidhttp://orcid.org/0000-0002-4659-1032
local.identifier.orcidhttps://orcid.org/ 0000-0002-5641-1314
local.publisher.countryBrasil
local.publisher.departmentEEF - DEPARTAMENTO DE EDUCAÇÃO FÍSICA
local.publisher.departmentICX - DEPARTAMENTO DE CIÊNCIA DA COMPUTAÇÃO
local.publisher.initialsUFMG
local.url.externahttps://journals.humankinetics.com/view/journals/ijspp/14/8/article-p1089.xml

Arquivos

Licença do pacote

Agora exibindo 1 - 1 de 1
Imagem de Miniatura
Nome:
License.txt
Tamanho:
1.99 KB
Formato:
Plain Text
Descrição:
Baixar

Coleções

Artigo de Periódico

Logo UFMG