Medicine ball throw test predicts arm power in rugby sevens players

Authors

  • Marco Aurélio Ferreira de Jesus Leite Federal University of Triangulo Mineiro
  • Jeffer Eidi Sasaki Federal University of Triangulo Mineiro
  • Camilo Luis Monteiro Lourenço Federal University of Triangulo Mineiro
  • Hugo Ribeiro Zanetti Federal University of Triangulo Mineiro
  • Lucas Gonsalves Cruz Federal University of Triangulo Mineiro
  • Gustavo Ribeiro da Mota Federal University of Triangulo Mineiro
  • Edmar Lacerda Mendes Federal University of Triangulo Mineiro

DOI:

https://doi.org/10.1590/1980-0037.2016v18n2p166

Abstract

The aim of this study was to develop an upper limb muscle power (PUL) prediction model using the Medicine Ball Throw Test (MBT) in rugby players. Eighteen amateur rugby players underwent the MBT test and the guided bench press exercise at 30, 40, 50 and 60% of 1. Myotest® accelerometer was positioned on the bench press bar to estimate muscle power. Linear regression was used to derive the upper limb muscle power prediction equation from the MBT distance. The residue analysis estimated the residual error of the predicted values using values obtained by Myotest®. Bland-Altman plots were used to verify agreement between actual and predicted upper limb muscle power, both in absolute Watts (W) and relative terms (W/kg of fat-free mass). There were significant correlations between actual and predicted upper limb muscle power (r = 0.834, 0.854, and 0.872) for intensities of 30%, 40% and 50%, respectively. Absolute bias of predicted values was -1.87 W (p <0.05). For muscle power predicted relative to fat-free mass, bias was 0.782 W/kg (p <0.05). Conclusion: The MBT test has high correlation with actual PUL values and it was found that the equation developed in this study has high accuracy to predict PUL in rugby players of both sexes.

Author Biographies

Marco Aurélio Ferreira de Jesus Leite, Federal University of Triangulo Mineiro

Federal University of Triangulo Mineiro. Uberaba, MG. Brazil

Jeffer Eidi Sasaki, Federal University of Triangulo Mineiro

Federal University of Triangulo Mineiro. Uberaba, MG. Brazil

Camilo Luis Monteiro Lourenço, Federal University of Triangulo Mineiro

Federal University of Triangulo Mineiro. Uberaba, MG. Brazil

Hugo Ribeiro Zanetti, Federal University of Triangulo Mineiro

Federal University of Triangulo Mineiro. Uberaba, MG. Brazil

Lucas Gonsalves Cruz, Federal University of Triangulo Mineiro

Federal University of Triangulo Mineiro. Uberaba, MG. Brazil

Gustavo Ribeiro da Mota, Federal University of Triangulo Mineiro

Federal University of Triangulo Mineiro. Uberaba, MG. Brazil

Edmar Lacerda Mendes, Federal University of Triangulo Mineiro

Federal University of Triangulo Mineiro. Uberaba, MG. Brazil

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Published

2016-05-23

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Section

Original Articles