This study examined the efficacy of peak-power estimation equations in children using force platform data and determined whether allometric modeling offers a sounder alternative to estimating peak power in pediatric samples. Ninety one boys and girls aged 12-16 years performed 3 countermovement jumps (CMJ) on a force platform. Estimated peak power (PPest) was determined using the Harman et al., Sayers SJ, Sayers CMJ, and Canavan and Vescovi equations. All 4 equations were associated with actual peak power (r = 0.893-0.909, all p <.01). There were significant differences between PP est using the Harman et al., Sayers SJ, and Sayers CMJ equations (p <.05) and actual peak power (PPactual). ANCOVA also indicated sex and age effect for PPactual (p <.01). Following a random two-thirds to one-third split of participants, an additive linear model (p =.0001) predicted PPactual (adjusted R2 =.866) from body mass and CMJ height in the two-thirds split (n = 60). An allometric model using CMJ height, body mass, and age was then developed with this sample, which predicted 88.8% of the variance in PPactual (p <.0001, adjusted R2 =.888). The regression equations were cross-validated using the one-third split sample (n = 31), evidencing a significant positive relationship (r =.910, p =.001) and no significant difference (p =.151) between PP actual and PPest using this equation. The allometric and linear models determined from this study provide accurate models to estimate peak power in children.
|Journal||Pediatric Exercise Science|
|Publication status||Published - 2013|
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- peak-power estimation
- allometric modelling