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Explosive Strength Modeling in Children: Trends According to Growth and Prediction Equation
- Source :
- Applied Sciences, Vol 10, Iss 6430, p 6430 (2020), Applied Sciences, Volume 10, Issue 18
- Publication Year :
- 2020
- Publisher :
- MDPI AG, 2020.
-
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&ndash<br />11 years) were tested for their SBJs<br />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 = &minus<br />0.435<br />M = 1.152). Likewise, age, sex, and age&ndash<br />sex interactions were revealed to be significant (p &lt<br />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.
- Subjects :
- Standing broad jump
maturity offset
Demographics
growth
Physical fitness
lcsh:Technology
standing broad jump
lcsh:Chemistry
03 medical and health sciences
0302 clinical medicine
children
Statistics
allometry
General Materials Science
030212 general & internal medicine
Instrumentation
lcsh:QH301-705.5
Mathematics
Fluid Flow and Transfer Processes
business.industry
lcsh:T
Process Chemistry and Technology
General Engineering
Explosive strength
030229 sport sciences
Anthropometry
Multiplicative model
lcsh:QC1-999
Computer Science Applications
lcsh:Biology (General)
lcsh:QD1-999
lcsh:TA1-2040
General health
Allometry
business
lcsh:Engineering (General). Civil engineering (General)
lcsh:Physics
Subjects
Details
- Language :
- English
- ISSN :
- 20763417
- Volume :
- 10
- Issue :
- 6430
- Database :
- OpenAIRE
- Journal :
- Applied Sciences
- Accession number :
- edsair.doi.dedup.....a58a68e1a30e13a213a6a4ed0a0423f8