Field-measured drag area is a key correlate of level cycling time trial performance.
Drag area (Ad ) is a primary factor determining aerodynamic resistance during level cycling and is therefore a key determinant of level time trial performance. However, Ad has traditionally been difficult to measure. Our purpose was to determine the value of adding field-measured Ad as a correlate of level cycling time trial performance. In the field, 19 male cyclists performed a level (22.1 km) time trial. Separately, field-determined Ad and rolling resistance were calculated for subjects along with projected frontal area assessed directly (AP ) and indirectly (Est AP ). Also, a graded exercise test was performed to determine [Formula: see text] peak, lactate threshold (LT), and economy. [Formula: see text] peak ([Formula: see text]) and power at LT were significantly correlated to power measured during the time trial (r = 0.83 and 0.69, respectively) but were not significantly correlated to performance time (r = - 0.42 and -0.45). The correlation with performance time improved significantly (p < 0.05) when these variables were normalized to Ad . Of note, Ad alone was better correlated to performance time (r = 0.85, p < 0.001) than any combination of non-normalized physiological measure. The best correlate with performance time was field-measured power output during the time trial normalized to Ad (r = - 0.92). AP only accounted for 54% of the variability in Ad . Accordingly, the correlation to performance time was significantly lower using power normalized to AP (r = - 0.75) or Est AP (r = - 0.71). In conclusion, unless normalized to Ad , level time trial performance in the field was not highly correlated to common laboratory measures. Furthermore, our field-measured Ad is easy to determine and was the single best predictor of level time trial performance.
Department of Integrative Physiology, University of Colorado Boulder , Boulder, CO , USA.
James E
JE
Peterman
Department of Integrative Physiology, University of Colorado Boulder , Boulder, CO , USA.
Allen C
AC
Lim
Department of Integrative Physiology, University of Colorado Boulder , Boulder, CO , USA.
Ryan I
RI
Ignatz
Department of Integrative Physiology, University of Colorado Boulder , Boulder, CO , USA.
Andrew G
AG
Edwards
Department of Integrative Physiology, University of Colorado Boulder , Boulder, CO , USA.
William C
WC
Byrnes
Drag coefficient; Exercise physiology; Field testing; Power meter; Power output; Predicting performance