Scheduled for Research Consortium Poster Session: Thematic Biophysical, Assessment, and Measurement Posters, Friday, March 16, 2007, 10:45 AM - 12:15 PM, Convention Center: Exhibit Hall Poster Area I


Using Performance Variables to Predict Strength in Female Athletes

Joe Nocera, Michael Horvat and Christine Franklin, University of Georgia, Athens, GA

The importance of assessing strength for improving performance is commonly done with repetition maximums or repetition to fatigue assessments. However, because of the volume of weight lifted, lack of lifting experience, and level of physiological maturation these lifts may not always be appropriate for female athletes. Therefore the purpose of this study was to investigate relationships between one-repetition maximum (1RM) strength measures and various sports performance measures in an effort to identify an alternative to 1RM testing. Fifty-seven high school female athletes (14-18 years old) completed a 1RM bench press and a 1RM leg press to determine absolute and relative strength. Athletes were also evaluated on various performance measures including: sit-ups, 40-yard sprit, vertical jump, sit and reach, medicine ball throw, and the line drill, as well as body composition measures. A Pearson product correlation and regression analysis was utilized to determine relationships between 1RM strength measures, the performance measures, and the body composition measures. The matrix for overall strength demonstrated statistical significance (p<0.05) in several independent variables with the response variables (1RM bench press and leg press). The variables included: body fat percentage (p=0.01), body mass index (p=0.01), lean body mass (p=0.00), sit and reach (p=0.03), bench press to fatigue (p=0.00), and medicine ball throw (p=0.00) indicating a strong relationship with the 1RM assessment. Common sports performance variables such as vertical jump, 40 yard dash, and line drill we found to be not significant (p<0.05). Based on these findings it was concluded that several performance variables can be used to predict strength in high school female athletes. We believe this will allow coaches and teachers to assess strength variables without compromising safety in physiological immature athletes.
Keyword(s): coaching, exercise/fitness/physical activity, gender issues

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