[Show abstract][Hide abstract]ABSTRACT: The purpose of this study was to compare existing 1 repetition maximum (1RM) bench press prediction equations in National Collegiate Athletic Association (NCAA) Division IA college football players and determine if the error associated with the prediction of 1RM bench press from the National Football League (NFL)-225 test could be reduced through the addition of anthropometric measurements. Anthropometric measures, 1RM bench press, NFL-225 test repetitions to fatigue, and body composition data were collected on 87 Division IA football players (mean+/-SD age 19.9+/-1.3 years; height 182.3+/-7.3 cm; body mass 102.3+/-21.1 kg; % fat 13.9+/-6.7; 1RM bench press 140.5+/-2 6.6 kg; and NFL-225 reps to fatigue 14.1+/-8.0). Hierarchical regression revealed an R=0.87 when predicting 1RM from the NFL-225 test alone, which improved to R=0.90 with the addition of the anthropometric variables: arm circumference and arm length. The following equation was the best performing model to predict 1RM bench press: 1RM (lb)=299.08+2.47 arm circumference (cm)--4.60 arm length (cm)+5.84 reps @ 225; SEE=18.3 lb). This equation predicted 43.7% of subjects' within +/-10 lb of their actual 1RM bench press. Using a crossvalidation group, the equation resulted in estimates of 1RM which were not significantly different than the actual 1RM. Because of the variability that has been shown to be associated with 1RM prediction equations, the use of actual 1RM testing is recommended when this is a critical variable. However, coaches, scouts, and athletes, who choose to estimate 1RM bench press using repetitions to failure from the NFL-225 test, may benefit from the use of the equations developed in this study to estimate 1RM bench press with the inclusion of simple anthropometric measurements.
Full-text Article · Jun 2010 · The Journal of Strength and Conditioning Research
[Show abstract][Hide abstract]ABSTRACT: vii, 69 leaves The purpose of this investigation was to develop a new prediction equation for 1RM bench press performance in Div. I college football players using both submaximal lifts and anthropometric variables. One repetition maximum (1-RM), 5-RM, reps at 225 lbs, and various anthropometric variables were collected on 85 Div. I college football players. Mean and SD were found for the following variables: height 182.3 cm ± 7.2; weight 102.0 kg ± 21.5; age 19.8 yrs ± 1.3; 1-RM 308.9 lbs ± 59.2; 5-RM 261.8 lbs ± 51.2; 225lb repetitions 14.1 reps ± 8.1; upper arm length 37.9 cm ± 2; CSA 125.5 cm2 ± 24.8; and flexed arm 41.2 cm ± 4.2. Findings indicated that the performance variables accounted for the majority of the explained variance; however, anthropometric factors also made a meaningful contribution to the explanation of 1-RM bench press strength. The equation generated in this study produced an R2 of 0.93 with a SEE ± 6.6 kg. Often previously published prediction equations investigated in this study, the equation developed in the current study was the only equation that did not significantly differ from actual 1-RM scores for a cross-validation sample of 31 subjects (p = 0.37). By combining anthropometric factors with performance variables, the current equation was able to predict 87% of individuals within ± 20 lbs of their actual 1-RM bench press performance. Therefore, it was concluded that the equation developed in this study is a valid means of estimating 1-RM bench press strength in Div I college football players. MS