Testing the generalized functional translation model

Abstract

The purpose of this study was to evaluate the generalized functional model that allows someone to work at the same intensity during a training session as was achieved during a graded exercise test (GXT) by downregulating the workload to account for cardiovascular drift. This also tested for the accuracy of the new generalized translation model as a way to downregulate GXT workload to a specific training workload. Earlier studies found that in order for patients to work at the same relative workload during training as during a GXT, there needs to be a translation (downregulation) from GXT results to steady state exercise. We have recently developed a generalized translation model that combines the results of earlier experimental studies. Subjects (n=20) performed a GXT and three, 20-minute training bouts at easy, moderate and hard intensities on a treadmill. Average values for HR and RPE achieved during the workout were compared to target values for all three intensity levels, using repeated measures ANOVA. When significant differences were observed, pair-wise comparisons were made using Tukey’s test. It was found that the generalized prescription model slightly, but significantly, over predicted target RPE at 60% HRR and 70% HRR workloads but seems to be accurate at the 80% HRR workload.