For example, since body weight and lower body strength are significantly related to the relative SPP load, a football lineman who is larger and stronger than an endurance athlete once will likely need a heavier relative load to achieve SPP than the smaller, weaker athlete. Additionally, increases in strength leading to increases in power via resistance training similar to what was found by Hermassi et al. (2011) may mean that over an athlete��s career, the relative load needed to achieve peak power during RS may increase as the athlete becomes stronger and more powerful. When two athletes jump the same height, the athlete who weighs the most will produce the most power during the jump. During this study, VJPP and VJMP were significantly related to SPP while VJ was not, which also indicates that body weight plays an important role in choosing the relative SPP load.

Another important caveat in the discussion of these variables is the relationship between body weight and LPMAX. Body weight and leg press 1 RM had a significant positive correlation (r = .87; P<.001). Since these variables are highly related, and both variables are related to the relative SPP load, one can assume that simply assessing an athlete��s weight or lower body strength should give an indication of what their relative SPP load should be. In addition, increases in athletes�� lower-body strength which lead to increases in power, as seen in Hermassi et al.��s study (2011), may lead to an increase in the SPP load needed to elicit peak power. In the present study, five participants weighed more than 90 kg.

Of those five participants, four had a relative SPP load of 30% body weight or greater, while the remaining participant had a relative SPP load of 25%. Considering this information, relative SPP loads for athletes weighing more than 90 kg should sometimes be 25% or greater. We attempted to use multiple regressions to determine whether or not we could devise an equation to predict the SPP load based on bodyweight and other variables, but were unable to find a statistically-significant combination of variables. Additionally, a discriminant analysis was used in an attempt to predict the optimal SPP load, however, the statistical software determined that none of the variables were qualified for that analysis.

It is possible that this may be improved by using samples with different physical abilities, particularly athletes, or a larger sample size may be necessary. While variables have been identified to help coaches select appropriate loads for resisted sprinting on a non-motorized treadmill, Dacomitinib it is not yet known exactly how resisted sprinting on a non-motorized treadmill should be incorporated into a strength and conditioning program. One training program which was successful in improving sprint speed by utilizing resisted sprinting on a non-motorized treadmill involved weekly changes in load, varying from 0�C25 percent of body weight (Ross et al., 2009).