Evaluation of peak power prediction equations in male basketball players
Average rating
Cast your vote
You can rate an item by clicking the amount of stars they wish to award to this item.
When enough users have cast their vote on this item, the average rating will also be shown.
Star rating
Your vote was cast
Thank you for your feedback
Thank you for your feedback
Issue Date
2008
Metadata
Show full item recordAbstract
This study compared peak power estimated using 4 commonly used regression equations with actual peak power derived from force platform data in a group of adolescent basketball players. Twenty-five elite junior male basketball players (age, 16.5 +/- 0.5 years; mass, 74.2 +/- 11.8 kg; height, 181.8 +/- 8.1 cm) volunteered to participate in the study. Actual peak power was determined using a countermovement vertical jump on a force platform. Estimated peak power was determined using countermovement jump height and body mass. All 4 prediction equations were significantly related to actual peak power (all p < 0.01). Repeated-measures analysis of variance indicated significant differences between actual peak power and estimate peak power from all 4 prediction equations (p < 0.001). Bonferroni post hoc tests indicated that estimated peak power was significantly lower than actual peak power for all 4 prediction equations. Ratio limits of agreement for actual peak power and estimated peak power were 8% for the Harman et al. and Sayers squat jump prediction equations, 12% for the Canavan and Vescovi equation, and 6% for the Sayers countermovement jump equation. In all cases peak power was underestimated.Citation
Journal of Strength and Conditioning Research, 22(4): 1379-1381Publisher
Lippincott Williams and Wilkins in association with National Strength and Conditioning AssociationJournal
Journal of Strength and Conditioning ResearchPubMed ID
18545163Type
Journal articleLanguage
enISSN
1533-4287Collections
Related articles
- Peak power prediction in junior basketballers: comparing linear and allometric models.
- Authors: Duncan MJ, Hankey J, Lyons M, James RS, Nevill AM
- Issue date: 2013 Mar
- Jump peak power assessment through power prediction equations in different samples.
- Authors: Lara-Sánchez AJ, Zagalaz ML, Berdejo-Del-Fresno D, Martínez-López EJ
- Issue date: 2011 Jul
- Peak-power estimation equations in 12- to 16-year old children: comparing linear with allometric models.
- Authors: Duncan MJ, Hankey J, Nevill AM
- Issue date: 2013 Aug
- Jump evaluation of elite volleyball players using two methods: jump power equations and force platform.
- Authors: Hertogh C, Hue O
- Issue date: 2002 Sep
- Gender bias in jumping kinetics in National Collegiate Athletic Association Division I basketball players.
- Authors: Walsh MS, Waters JA, Böhm H, Potteiger JA
- Issue date: 2007 Aug