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Publicação:
Previsione del massimo consumo di ossigeno in una popolazione generale

dc.contributor.authorLorenzo, Irma
dc.contributor.authorFilho, Dalton M. Pessôa [UNESP]
dc.contributor.authorPeinado, Ana B.
dc.contributor.authorPeinado, Pedro J. Benito
dc.contributor.authorCalderón, Francisco J.
dc.contributor.institutionVillanueva de la Cañada
dc.contributor.institutionTechnical University of Madrid
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2018-12-11T16:47:14Z
dc.date.available2018-12-11T16:47:14Z
dc.date.issued2017-03-01
dc.description.abstractBACKGROUND: The assessment of cardiorespiratory fitness using a gold-standard protocol, or group-specific estimates, cannot feasibly be managed by health and physical training professionals when dealing with different exercise disciplines and individual needs. Thus, the aim was to describe the parameters which offer a better explanation of the variance in maximal oxygen uptake (VO2max) in a large mixed population. METHODS: A sample of 784 subjects (practitioners from different sport disciplines, composed of 656 men: 24±8 years, 69±10 kg and 175±8 cm; and 128 women: 21±7 years, 57±9 kg and 164±8 cm) performed a progressive test to assess VO2max on a cycle-ergometer or treadmill, as freely chosen by the participants. Two multiple linear stepwise-regression models were applied to the VO2max estimation in a sorted exploratory sample (70%): with anthropometrics plus maximal heart rate (HRmax) for model 1 (MOD1); and including maximal workload (WLmax) for model 2 (MOD2). Both models were evaluated in the validatory sample (30%) by the constant error (CE), Pearson coefficient (r), standard error of estimate (SEE), total error (TE), and adjusted r2. RESULTS: The MOD2 equation [VO2max=522.475 - 8.280 (WLmax) - 368.135 (sex) + 12.872 (bw) + 5.879 (HRmax)] proved to be statistically more robust than the MOD1 equation (SEE: 8.4 and 10.1%; CE: 1.0 and 6.0%; TE: 9.0 and 17.2%; and adjusted r2: 0.87 and 0.54, respectively). CONCLUSIONS: A highly accurate model was provided for predicting VO2max in a mixed-population, when including maximal workload together with HRmax, body weight, age and gender data in the estimate.en
dc.description.affiliationCamilo José Cela University Villanueva de la Cañada
dc.description.affiliationDepartment of Health and Human Performance Technical University of Madrid, C/ Martín Fierro 7
dc.description.affiliationSchool of Sciences São Paulo State University (UNESP)
dc.description.affiliationUnespSchool of Sciences São Paulo State University (UNESP)
dc.format.extent20-35
dc.identifierhttp://dx.doi.org/10.23736/S0025-7826.16.02911-2
dc.identifier.citationMedicina dello Sport, v. 70, n. 1, p. 20-35, 2017.
dc.identifier.doi10.23736/S0025-7826.16.02911-2
dc.identifier.issn1827-1863
dc.identifier.issn0025-7826
dc.identifier.scopus2-s2.0-85018980904
dc.identifier.urihttp://hdl.handle.net/11449/169704
dc.language.isoeng
dc.language.isopor
dc.relation.ispartofMedicina dello Sport
dc.relation.ispartofsjr0,153
dc.rights.accessRightsAcesso restritopt
dc.sourceScopus
dc.subjectOxygen consumption
dc.subjectPopulation groups
dc.subjectRegression analysis
dc.subjectSports
dc.subjectWork capacity evaluation
dc.titlePrevisione del massimo consumo di ossigeno in una popolazione generalept
dc.title.alternativePredicting maximal oxygen uptake in a generalized populationen
dc.typeArtigopt
dspace.entity.typePublication
unesp.campusUniversidade Estadual Paulista (UNESP), Faculdade de Ciências, Baurupt

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