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Abstract
As physical and metabolic fitness continues to play a large role in the development of chronic disease, it is desirable to know precisely how exercise and workout routines may affect measures of cardiovascular fitness. Likewise, it would be helpful to be able to quantitatively design exercise routines to optimize fitness outcomes for an individual. Using STELLA modeling software we used the individual physical fitness level determined using standardized tests and compared to published norms, combined with published dose‐response data from fitness test‐specific exercise studies to develop a mathematical model of human fitness level gains. The model was validated against two independent sets of published data that measured change in VO2max following exercise interventions. Predicted values for VO2max had standard errors of 3.99% and 4.39%, respectively, when the independent study parameters were entered into the model. This model may best be used as a tool to calculate how specific interventions might impact cardiovascular fitness or be used to quantitatively develop specific fitness routines to maximize or optimize cardiovascular fitness.
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