Potential Energy as an Alternative for Assessing Lower Limb Peak Power in Children: A Bayesian Hierarchical Analysis

Int J Environ Res Public Health. 2022 May 22;19(10):6300. doi: 10.3390/ijerph19106300.

Abstract

The aim of this study was to analyze the use of potential energy (PE) as an alternative method to assess peak power of the lower limbs (PP) in children. 815 Spanish children (416 girls; 6-11 years old; Body Mass Index groups (n): underweight = 40, normal weight = 431, overweight = 216, obese = 128) were involved in this study. All participants performed a Countermovement Jump (CMJ) test. PP was calculated using Duncan (PPDUNCAN), Gomez-Bruton (PPGOMEZ) and PECMJ formulas. A model with PECMJ as the predictor variable showed a higher predictive accuracy with PPDUNCAN and PPGOMEZ than CMJ height (R2 = 0.99 and 0.97, respectively; ELPDdiff = 1037.0 and 646.7, respectively). Moreover, PECMJ showed a higher linear association with PPDUNCAN and PPGOMEZ across BMI groups than CMJ height (βPECMJ range from 0.67 to 0.77 predicting PPDUNCAN; and from 0.90 to 1.13 predicting PPGOMEZ). Our results provide further support for proposing PECMJ as an index to measure PP of the lower limbs, taking into account the children's weight and not only the height of the jump. Therefore, we suggest the use of PECMJ in physical education classes as a valid method for estimating PP among children when laboratory methods are not feasible.

Keywords: Bayesian analysis; children; countermovement jump; potential energy.

MeSH terms

  • Bayes Theorem
  • Child
  • Female
  • Humans
  • Lower Extremity*
  • Muscle Strength*

Grants and funding

This research received no external funding.