Applying a mathematical model to training adaptation in a distance runner

Abstract

This study investigated physiological and psychological
correlates of the positive and negative components
of a systems model in a well-trained male
middle-distance runner. In the systems model, performance
at any given point in time is seen as the difference
between two antagonistic components, fitness and fatigue,
which represent the positive and negative adaptation
to training, respectively. Each component comprises
a set of parameters unique to the individual, which were
estimated by fitting model-predicted performance to
performance measured weekly throughout a 12-week
training period. The model fitness component was correlated
with extrapolated VO2max (ml.kg1.min1),
running economy (RE) (VO2 at 17 km.h1), and running
speed (km.h1) at ventilatory threshold (VTRS).
The model fatigue component was correlated with the
fatigue subset of the profile of mood states (POMS). The
fit between model and actual performance was signifi-
cant (r2=0.92, P< 0.01). In the case of fitness, both
VTRS (r=0.94, P=0.0001) and RE (r=0.61, P=0.04)
were significantly correlated with the model fitness
component. There was also a moderate correlation between
the fatigue subset of the POMS and the fatigue
component (r=0.75, p< 0.05). In summary, this is the
first time VTRS and the POMS have been used in an
attempt to validate the model components. The findings
of the present study support previous validation attempts
using biochemical and hormonal markers of fitness
and fatigue.