Literature DB >> 14658372

Estimation of leg power: a two-variable model.

Anand B Shetty1.   

Abstract

Leg power is an essential component for success in sports and athletic performance. Therefore, the leg power measurement may help athletes, coaches, athletic trainers, and rehabilitation specialists in selecting, treating, and training athletes for a specific sport. Using a conventional 'jump and reach' test, one can accurately predict the leg power and success in anaerobic-type sports. Nineteen untrained male subjects performed 'jump and reach' vertical jumps on a force platform. Power values were calculated from the force versus time data obtained from the force platform. A regression equation was obtained to predict the power values using the weight of an individual and the 'jump and reach' height as independent variables. The regression equation is given by p = -666.3 + 14.74 [Mass (kg)] + 1925.72 [Height (m)]; [R-square = 0.69, p < 0.05].

Entities:  

Mesh:

Year:  2002        PMID: 14658372     DOI: 10.1080/14763140208522793

Source DB:  PubMed          Journal:  Sports Biomech        ISSN: 1476-3141            Impact factor:   2.832


  3 in total

1.  When Jump Height is not a Good Indicator of Lower Limb Maximal Power Output: Theoretical Demonstration, Experimental Evidence and Practical Solutions.

Authors:  Jean-Benoit Morin; Pedro Jiménez-Reyes; Matt Brughelli; Pierre Samozino
Journal:  Sports Med       Date:  2019-07       Impact factor: 11.136

2.  Potential Energy as an Alternative for Assessing Lower Limb Peak Power in Children: A Bayesian Hierarchical Analysis.

Authors:  Jorge R Fernandez-Santos; Jose V Gutierrez-Manzanedo; Pelayo Arroyo-Garcia; Jose Izquierdo-Jurado; Jose L Gonzalez-Montesinos
Journal:  Int J Environ Res Public Health       Date:  2022-05-22       Impact factor: 4.614

3.  Developing a new muscle power prediction equation through vertical jump power output in adolescent women.

Authors:  Aziz Güçlüöver; Mehmet Gülü
Journal:  Medicine (Baltimore)       Date:  2020-06-19       Impact factor: 1.817

  3 in total

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