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Explosive strength modeling in children: trends according to growth and prediction equation
Carnevale Pellino, Vittoria Giuriato, Matteo Ceccarelli, Gabriele Codella, Roberto Vandoni, Matteo Lovecchio, Nicola Nevill, Alan M
Carnevale Pellino, Vittoria
Giuriato, Matteo
Ceccarelli, Gabriele
Codella, Roberto
Vandoni, Matteo
Lovecchio, Nicola
Nevill, Alan M
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2020-09-15
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Abstract
Lower limb explosive strength has been widely used to evaluate physical fitness and general health in children. A plethora of studies have scoped the practicality of the standing broad jump (SBJ), though without accounting for body dimensions, which are tremendously affected by growth. This study aimed at modeling SBJ-specific allometric equations, underlying an objectively predictive approach while controlling for maturity offset (MO). A total of 7317 children (8–11 years) were tested for their SBJs; demographics and anthropometrics data were also collected. The multiplicative model with allometric body size components, MO, and categorial differences were implemented with SBJ performance. The log-multiplicative model suggested that the optimal body shape associated with SBJs is ectomorphic (H = −0.435; M = 1.152). Likewise, age, sex, and age–sex interactions were revealed to be significant (p < 0.001). Our results confirmed the efficacy of the allometric approach to identify the most appropriate body size and shape in children. Males, as they mature, did not significantly augment their performances, whereas females did, outperforming their peers. The model successfully fit the equation for SBJ performance, adjusted for age, sex, and MO. Predictive equations modeled on developmental factors are needed to interpret appropriately the performances that are used to evaluate physical fitness.
Citation
Carnevale Pellino, V.; Giuriato, M.; Ceccarelli, G.; Codella, R.; Vandoni, M.; Lovecchio, N.; Nevill, A.M. (2020) Explosive Strength Modeling in Children: Trends According to Growth and Prediction Equation. Appl. Sciences, 10, 6430.
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Journal article
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en
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© 2020 The Authors. Published by MDPI. This is an open access article available under a Creative Commons licence.
The published version can be accessed at the following link on the publisher’s website: https://doi.org/10.3390/app10186430
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2076-3417
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2076-3417