Predicting Straight Punch Force of Impact

Paul D. House, Jerel L. Cowan


The focus of this study was on the factors that contribute to the impact force of a straight punch. This study consisted of 22 health co2llege aged subjects (23.5 ± 3.2 years; 17 males, 5 females). There were two testing sessions. During the first session, subjects performed a one arm cable push with their dominant arm. For the second testing session each subject was instructed to punch the bag “as hard as they could”.  The subjects hit an F-Scan force sensory shoe sole that was used to measure force of impact. The final test was to determine hand speed.  A tethered strap from the Humac 360 was looped around each subject’s gloved thumb.  Again, they were instructed to hit the punching bag “as hard as they could”. A multiple regression was the statistical tool used to analyze the data.  The independent variables analyzed were: arm length (meters), body weight (kgs), hand speed (meters/second), and 1RM (kgs).   The dependent variable was the force of impact measured in newtons.  The results of the study showed that model 2, which included 1RM and hand velocity as significant independent variables, was a good predictor of force of impact with r2 = .634.  The significant predictors were hand speed and 1RM strength with p = 0.009 and 0.014 respectively.  Thus, it would appear that the greatest factors that determine the straight punch force of impact in untrained subjects are hand speed and 1RM strength in a movement pattern that emulates the straight punch.

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