Abstract
221 The purpose of this study was to develop linear regression equations to predict maximal muscular (anaerobic) power in 11-13 y.o. males. Forty volunteers (12.0 ± 0.1 yr, Mean ± SD) were subjects. Eleven anthropometric measures (height; weight; mid thigh, calf, ankle and wrist circumferences; femur and transverse pelvic widths; sum of skinfolds, circumferences and widths; and BMI) and the average of three 30 m dashes were the predictive variables. Peak anaerobic power (5 sec) and mean anaerobic power (30 sec) expressed in W/kg body weight were determined from the Wingate bicycle test. Stepwise multiple regression analyses generated the following regression equations: (Equations 1 and 2) The mean power prediction equation variables, combined, produced coefficients for R and R2 of .901 (p<0.05) and .812 respectively. The peak power prediction equation variable produced coefficients of .386 (p<0.05) and .120 for R and R2 respectively. It was concluded that the linear regression equation for mean power was more attractive for predictive purposes and could be used as a method for prediction of anaerobic power in adolescent males involved in physical activities. Supported by Faculty Research Grant, Rowan University
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