Details

Autor(en) / Beteiligte

• Duncan, Michael J
• Lyons, Mark
• Nevill, Alan M

Titel

Evaluation of Peak Power Prediction Equations in Male Basketball Players

Ist Teil von

• Journal of strength and conditioning research, 2008-07, Vol.22 (4), p.1379-1381

Ort / Verlag

United States: National Strength and Conditioning Association

Erscheinungsjahr

2008

Quelle

RCN full-text journals@Ovid

Beschreibungen/Notizen

• Duncan, MJ, Lyons, M, and Nevill, AM. Evaluation of peak power prediction equations in male basketball players. J Strength Cond Res 221379-1381, 2008-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.