1 research outputs found
Testing the generalized functional translation model
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