Estimation of Lower Body Muscle Power from Vertical Jump in Youth

Matthew T. Mahar, Gregory J. Welk, Kathleen F. Janz, Kelly Laurson, Weimo Zhu, Fatima Baptista

Research output: Contribution to journalArticlepeer-review

Abstract

Incorporation of the vertical jump (VJ) test in health-related fitness batteries is predicated on the availability of prediction equations to accurately estimate VJ power. The purpose was to develop and validate a generalizable equation to estimate VJ power from VJ height, body mass, age, and sex in 10- to 18-year-olds. The sample (N = 529) performed a VJ test and had VJ power assessed via mechanography. Validation and cross-validation groups were randomly formed to assess accuracy. Results indicated that estimates of VJ power from VJ height and body mass were accurate (R =.93, SEE = 275 Watts). Age and sex did not add substantially to the model. Upon cross-validation, accuracy was maintained. The newly developed model was more accurate than previously published equations. The following equation provides accurate and feasible estimates of VJ power (Watts) = −1354.820 + (35.455*VJ[cm]) + (43.942*body mass[kg]). This equation provides a feasible way to estimate power in field-based settings.

Original languageEnglish (US)
Pages (from-to)324-334
Number of pages11
JournalMeasurement in Physical Education and Exercise Science
Volume26
Issue number4
DOIs
StatePublished - 2022

Keywords

  • Mechanography
  • muscle power
  • power prediction
  • vertical jump
  • youth fitness testing

ASJC Scopus subject areas

  • Orthopedics and Sports Medicine
  • Physical Therapy, Sports Therapy and Rehabilitation

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