Dataset for experiment 1 of A novel validation approach shows new, solid reasons why vertical jump height should not be used to predict leg power

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dc.creatorAragón Vargas, Luis Fernando
dc.creatorGonzález Lutz, María Isabel
dc.date.accessioned2024-01-04T20:17:06Z
dc.date.available2024-01-04T20:17:06Z
dc.date.issued2023-08-16
dc.description.abstractJump height continues to be widely used to predict power in humans. Individual progress is often monitored on the basis of estimated power, but prediction equations are based on group data. The objective of the study was to show that vertical jump performance (VJP) and mechanical power are poorly associated, particularly within individuals. Two experiments are presented. First, 52 physically active male college students performed five maximal vertical jumps each. Second, three young male participants performed 50 maximal jumps each. Participants rested for 1 minute between jumps. VJP was calculated from kinematic data as peak body center of mass (BCOM) minus standing BCOM; peak power (PEAKPWR) was calculated from the vertical ground reaction force registered by a force plate, and average power (MEANPWR) during propulsion from the change in potential energy of BCOM. Regression analyses were performed using standardized VJP scores as the predictor variable and standardized power scores as the resulting variables, expecting an identity function of y = x (intercept = 0, slope = 1) and R2 = 1. In experiment 1, the model for zPEAKPWR R2 = 0.9707 (p < 0.0001) but slope (0.3452) ≠ 1 (p < 0.0001). The model for zMEANPWR R2 = 0.9239 (p < 0.0001); nevertheless, slope (0.4257) ≠ 1 (p < 0.0001). In experiment 2, all individual models for zPEAKPWR and zMEANPWR resulted in poor associations (R2 ≤ 0.21) and slopes ≠ 1 (p≤0.001). In conclusion, regression analysis for individuals, and even for groups, confirms that VJP is a poor predictor of mechanical power. This is dataset #1 used for these calculations.es_ES
dc.description.procedenceUCR::Vicerrectoría de Investigación::Unidades de Investigación::Ciencias Sociales::Centro de Investigación en Ciencias del Movimiento Humano (CIMOHU)es_ES
dc.identifier.doi10.15517/pensarmov.v21i2.56206
dc.identifier.issn1659-4436
dc.identifier.urihttps://hdl.handle.net/10669/90700
dc.language.isoenges_ES
dc.rightsacceso abierto
dc.sourcePensar en Movimiento 21(2); 2023es_ES
dc.subjectKinematicses_ES
dc.subjectBiomechanical phenomenaes_ES
dc.subjectBIOPHYSICSes_ES
dc.subjectVALIDATIONes_ES
dc.subjectWithin-subject analysises_ES
dc.titleDataset for experiment 1 of A novel validation approach shows new, solid reasons why vertical jump height should not be used to predict leg poweres_ES
dc.title.alternativeBase de datos para experimento 1 de Un novedoso enfoque de validación añade sólidas razones para no utilizar la altura del salto vertical como predictor de la potencia de piernases_ES
dc.title.alternativeBanco de dados para experimento 1 de Uma nova abordagem de validação acrescenta fortes razões para não usar a altura do salto vertical como um indicador de potência das pernases_ES
dc.typeconjunto de datoses_ES

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Educación física y recreación