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A Journal on Applied Physiology, Biomechanics, Preventive Medicine,
Sports Medicine and Traumatology, Sports Psychology

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The Journal of Sports Medicine and Physical Fitness 2006 September;46(3):419-24

language: English

Assessment of power output in jump tests for applicants to a sports sciences degree

Lara A. J. 1, Abián J. 1, Alegre L. M. 1, Jiménez L. 2, Aguado X. 1

1 Faculty of Sports Sciences University of Castilla-La Mancha, Toledo, Spain
2 School of Informatics University of Castilla-La Mancha, Ciudad Real, Spain


Aim. Our study aimed: 1) to describe the jump performance in a population of male applicants to a Faculty of Sports Sciences, 2) to apply different power equations from the literature to assess their accuracy, and 3) to develop a new regression equation from this population.
Methods. The push off phases of the counter-movement jumps (CMJ) on a force platform of 161 applicants (age: 19±2.9 years; weight: 70.4±8.3 kg) to a Spanish Faculty of Sports Sciences were recorded and subsequently analyzed. Their hands had to be placed on the hips and the knee angle during the counter movement was not controlled. Each subject had 2 trials to reach a minimum of 29 cm of jump height, and when 2 jumps were performed the best trial was analyzed. Multiple regression analysis was performed to develop a new regression equation.
Results. Mean jump height was 34.6±4.3 cm, peak vertical force 1 663.9±291.1 N and peak power 3524.4±562 W. All the equations underestimated power, from 74% (Lewis) to 8% (Sayers). However, there were high and significant correlations between peak power measured on the force platform, and those assessed by the equations.
Conclusions. The results of the present study support the development of power equations for specific populations, to achieve more accurate assessments. The power equation from this study [Power=(62.5×jump height (cm)) + (50.3 × body mass (kg)) – 2 184.7] can be used accurately in populations of male physical education students.

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