Explosive Strength Modeling in Children: Trends According to Growth and Prediction Equation
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 ai...
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MDPI AG
2020-09-01
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author | Vittoria Carnevale Pellino Matteo Giuriato Gabriele Ceccarelli Roberto Codella Matteo Vandoni Nicola Lovecchio Alan M. Nevill |
author_facet | Vittoria Carnevale Pellino Matteo Giuriato Gabriele Ceccarelli Roberto Codella Matteo Vandoni Nicola Lovecchio Alan M. Nevill |
author_sort | Vittoria Carnevale Pellino |
collection | DOAJ |
description | 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 (<i>p</i> < 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. |
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issn | 2076-3417 |
language | English |
last_indexed | 2024-03-10T16:18:45Z |
publishDate | 2020-09-01 |
publisher | MDPI AG |
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spelling | doaj.art-8e9158cf21c743ce862056734b28eaff2023-11-20T13:50:41ZengMDPI AGApplied Sciences2076-34172020-09-011018643010.3390/app10186430Explosive Strength Modeling in Children: Trends According to Growth and Prediction EquationVittoria Carnevale Pellino0Matteo Giuriato1Gabriele Ceccarelli2Roberto Codella3Matteo Vandoni4Nicola Lovecchio5Alan M. Nevill6Laboratory of Adapted Motor Activity (LAMA), Department of Public Health, Experimental Medicine & Forensic Science, University of Pavia, 27100 Pavia, ItalyDepartment of Neurosciences, Biomedicine and Movement Sciences, Università di Verona, 37129 Verona, ItalyHuman Anatomy Institute, Department of Public Health, Experimental Medicine & Forensic Science, University of Pavia, 27100 Pavia, ItalyDepartment of Biomedical Science for Health, Università degli Studi di Milano, 20133 Milano, ItalyLaboratory of Adapted Motor Activity (LAMA), Department of Public Health, Experimental Medicine & Forensic Science, University of Pavia, 27100 Pavia, ItalyLaboratory of Adapted Motor Activity (LAMA), Department of Public Health, Experimental Medicine & Forensic Science, University of Pavia, 27100 Pavia, ItalyFaculty of Education, Health and Wellbeing, University of Wolverhampton, Walsall WV1 1SB, UKLower 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 (<i>p</i> < 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.https://www.mdpi.com/2076-3417/10/18/6430allometrystanding broad jumpchildrengrowthmaturity offset |
spellingShingle | Vittoria Carnevale Pellino Matteo Giuriato Gabriele Ceccarelli Roberto Codella Matteo Vandoni Nicola Lovecchio Alan M. Nevill Explosive Strength Modeling in Children: Trends According to Growth and Prediction Equation Applied Sciences allometry standing broad jump children growth maturity offset |
title | Explosive Strength Modeling in Children: Trends According to Growth and Prediction Equation |
title_full | Explosive Strength Modeling in Children: Trends According to Growth and Prediction Equation |
title_fullStr | Explosive Strength Modeling in Children: Trends According to Growth and Prediction Equation |
title_full_unstemmed | Explosive Strength Modeling in Children: Trends According to Growth and Prediction Equation |
title_short | Explosive Strength Modeling in Children: Trends According to Growth and Prediction Equation |
title_sort | explosive strength modeling in children trends according to growth and prediction equation |
topic | allometry standing broad jump children growth maturity offset |
url | https://www.mdpi.com/2076-3417/10/18/6430 |
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