Introduction: Compelling data supports the concept that concurrent strength and aerobic training can interfere with adaptations to strength training related to speed, power, and rate of force development (RFD). Studies on this topic have primarily utilized non-athlete participants, with data subsequently extrapolated to athlete populations. Since there may be hesitancy to have athletes involved in research on the interference effects of aerobic exercise on strength specific adaptations, we built a model to simulate these effects and developed an equation to predict interference. The hypothesis tested in this project was that aerobic exercise is the main driver of interference on weightlifting-associated RFD, and that this interference can be modeled to generate an equation to predict changes to RFD. Methods: Python software was used to generate the model, perform the simulation, and optimize variables that contribute to the interference effect. A theoretical nonlinear exponential interference model was created that simulates the changes in RFD from a force-time curve in response to acute aerobic exercise lasting from 2-minutes to 60-minutes in duration. Results: RFD sensitivity to aerobic exercise was modeled such that maximal RFD values were predicted to be reduced by approximately 70% after aerobic exercise less than 10 minutes, with further predicted reductions of 80% with durations greater than 10-minutes. Discussion: The prediction equation includes variables that can be adjusted by coaches, such as the rate of decay and the RFD scaling factor, to predict the interference of acute aerobic exercise on RFD in strength athletes. This would theoretically allow the coach to make informed decisions on training program design if there is a need to include aerobic exercise in a strength and/or power-based periodized plan. The simulation model described herein is theoretical and has not yet been empirically validated.
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