Publicação:
Determinant factors of peak treadmill speed in physically active men

dc.contributor.authorAlves Pasqua, Leonardo
dc.contributor.authorDamasceno, Mayara V.
dc.contributor.authorBueno, Salomão
dc.contributor.authorZagatto, Alessandro M. [UNESP]
dc.contributor.authorDe Araújo, Gustavo G.
dc.contributor.authorLima-Silva, Adriano E.
dc.contributor.authorBertuzzi, Rômulo
dc.contributor.institutionUniversidade de São Paulo (USP)
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.contributor.institutionSports Science Research Group
dc.contributor.institutionUniversidade Federal de Pernambuco (UFPE)
dc.date.accessioned2018-12-11T16:52:14Z
dc.date.available2018-12-11T16:52:14Z
dc.date.issued2018-03-01
dc.description.abstractBackground: The aim of the present study was to determine whether physiological factors and maximal dynamic strength are able to determine the peak treadmill speed (PTS) in physically active individuals. Methods: One hundred and fifty physically active healthy males voluntarily visit the laboratory on three separate occasions and underwent the following activities: first visit - IPAQ (short version), anthropometric measurements, and a maximal incremental test performed for physiological variables (maximal oxygen uptake [VO2] and respiratory compensation point [RCP]); second visit - constant speed test for running economy (RE) measurement, and familiarization with the Maximum Dynamic Strength (1RM) Test in the leg press exercise; third visit - 1RM test. Results: The stepwise multiple regression model selected four independent variables to predict PTS (RCP, VO2, RE, and 1RM). RCPexplained 59% (P<0.001) of variance in PTS, whereas REand 1RM accounted for additional 8% (P<0.001), 4% (P<0.001), and 1.4% (P=0.038), respectively. Conclusions: In conclusion, the results of the present study demonstrate that PTS, an important predictor of endurance performance, is determined by both physiological (i.e., RCP, VO2, and RE) and muscular (1RM) parameters in healthy active individuals. These results demonstrate that, during a physical evaluation, PTS is able to represent physiological and muscular parameters of physically active individuals. This has the advantage during aerobic fitness evaluations of not requiring expensive equipment and specialized software.en
dc.description.affiliationEndurance Performance Research Group (GEDAE-USP) School of Physical Education and Sport University of São Paulo, Av. Prof. Mello Moraes, 65
dc.description.affiliationDepartment of Physical Education São Paulo State University (UNESP)
dc.description.affiliationFederal University of Alagoas Sports Science Research Group Department of Physical Education/CEDU
dc.description.affiliationSport Science Research Group Department of Physical Education and Sports Science (CAV) Federal University of Pernambuco
dc.description.affiliationUnespDepartment of Physical Education São Paulo State University (UNESP)
dc.format.extent204-209
dc.identifierhttp://dx.doi.org/10.23736/S0022-4707.16.06693-7
dc.identifier.citationJournal of Sports Medicine and Physical Fitness, v. 58, n. 3, p. 204-209, 2018.
dc.identifier.doi10.23736/S0022-4707.16.06693-7
dc.identifier.issn1827-1928
dc.identifier.issn0022-4707
dc.identifier.scopus2-s2.0-85042927053
dc.identifier.urihttp://hdl.handle.net/11449/170739
dc.language.isoeng
dc.relation.ispartofJournal of Sports Medicine and Physical Fitness
dc.relation.ispartofsjr0,477
dc.rights.accessRightsAcesso restrito
dc.sourceScopus
dc.subjectMuscle strength
dc.subjectOxygen consumption
dc.subjectPhysical endurance
dc.subjectPhysical fitness
dc.titleDeterminant factors of peak treadmill speed in physically active menen
dc.typeArtigo
dspace.entity.typePublication
unesp.author.lattes2545518618024469[4]
unesp.author.orcid0000-0003-1065-4158[4]

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