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ERIC Number: EJ1375801
Record Type: Journal
Publication Date: 2022
Pages: 11
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-1091-367X
EISSN: EISSN-1532-7841
Estimation of Lower Body Muscle Power from Vertical Jump in Youth
Mahar, Matthew T.; Welk, Gregory J.; Janz, Kathleen F.; Laurson, Kelly; Zhu, Weimo; Baptista, Fatima
Measurement in Physical Education and Exercise Science, v26 n4 p324-334 2022
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 = 0.93, 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.
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Publication Type: Journal Articles; Reports - Research
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Location: Portugal (Lisbon)
Grant or Contract Numbers: N/A