Jump Peak Power Assessment Through Power Prediction Equations in Different Samples

Abstract

The aim of this study was to describe the characteristics of jump capacity in a group of secondary school students and to develop 2 specific equations-applied to boys and girls, respectively, to estimate the jump power of secondary school students. Four hundred and fifty-six boys (age, 14.1 ± 0.8 years; mass, 61.9 ± 15.7 kg; height, 1.64 ± 0.10 m) and 465 girls (age, 14.1 ± 0.9 years; mass, 55.1 ± 10.0 kg; height, 1.58 ± 0.07 m), all of them secondary school students, volunteered to participate in this study. They performed a vertical jump test (Abalakov) on a force platform, and jump height and peak power were measured. Most importantly, peak power was also estimated through a series of previously established power equations. For the purpose of establishing statistically significant differences, a p value ≤ 0.05 was fixed. The equations proposed by Canavan and Vesconvi, and Harman were the most precise with respect to actual power, reaching a percentage of 1.9-2.1 and 3.6-4.1%, respectively. The equations by Sayers and Lara showed a greater difference in percentage (9.9-12.4 and 22.4-24.2%, respectively) with that of actual power. Similar results were not obtained in other studies, which means that a specific equation will be required according to the characteristics of the assessed sample. Two equations specifically addressed to secondary school students will be established in this article: boys: ([61.8 jump height (cm)] + [37.1 body mass (kg)] - 1,941.6); girls: ([31 jump height (cm)] + [45 body mass (kg)] - 1,045.4). Crossvalidation tests that were done to prove the validity of said equations showed positive results. Practical applications: Those teachers who wish to estimate the jump power of their pupils can use these equations and thereby calculate jump power by the indirect method from jump height and body mass index, without any need to use any expensive tools.

Reliability of Vertical Jump Performance evaluated with contact mat in elderly women

“…In this sense, this method allows the estimation of the height of the jump based on the body mass and time of the aerial phase (Bosco et al ., ; Garcia‐Lopez et al ., ; Dias et al ., ). It is also possible to estimate the power of the lower limb from mathematical equations (Sayers et al ., ; Lara‐Sanchez et al ., ). However, some differences (i.e.…”

“…In this sense, this method allows the estimation of the height of the jump based on the body mass and time of the aerial phase (Bosco et al, 1983;Garcia-Lopez et al, 2005;Dias et al, 2011). It is also possible to estimate the power of the lower limb from mathematical equations (Sayers et al, 1999;Lara-Sanchez et al, 2011). However, some differences (i.e.~5%) in the evaluation by force platforms and contact mats have been reported (Aragon Vargas, 2000;Garcia-Lopez et al, 2005;Moir et al, 2008b;Boullosa et al, 2011;Dias et al, 2011).…”

Jump height is a poor indicator of lower limb maximal power output: theoretical demonstration, experimental evidence and practical solutions

“…For instance, Quagliarella et al [40] performed a detailed comparative study of several equations, and reported very high error values (>50%) and concluded that the use of Pmax estimates, can only be useful to compare the performance of groups of subjects. Discrepancies and equation-dependant accuracy of prediction were also observed in other comparative studies [8,36,41,42], making the use of regression-based estimates irrelevant for an individually accurate determination of lower limb Pmax.…”

“…Numerous regression equations have been published to estimate Pmax (e.g. [34][35][36][37][38][39]). However, although practical, this estimation method has several major limitations.…”

Assessment of fatigue in Division I female soccer players by weekly measurement of cognitive speed and power output.

“…One study examined the precision of various power equations using the vertical jump height and peak power measured by a force plate, and then compared to estimated peak power equations with over 800 secondary school students. In this study, the Harman equation was found to be precise, reaching 3.6-4.1 % accuracy [53].…”