Accumulated oxygen deficit (AOD) is widely regarded to be the most theoretically acceptable measure of anaerobic capacity (Saltin, 1990). A primary source of error in the AOD method, however, is failure of the oxygen uptake (ΩO2)-power regression to predict accurately the energy demand of more intense exercise. An increase in fat oxidation during submaximal exercise is a common response to endurance training (Kiens et al. 1993). In accordance with the higher O2 cost of fat metabolism relative to carbohydrate, increased fat oxidation during exercise will increase ΩO2 (Heigenhauser et al. 1983). Thus we hypothesised that the gradient of the ΩO2-power regression and the O2 demand predicted for a supra-ΩO2,max power output would be higher in elite rather than club-level athletes.
Following ethics committee approval and written informed consent, 34 elite (GB National Squad) and 19 club-level oarsmen participated in the study (mean ± S.D. ΩO2,max 6.35 ± 0.64 and 5.56 ± 0.57 l min-1; body mass 92.8 ± 5.7 and 85.6 ± 6.3 kg, respectively). Tests were administered on a modified air-braked rowing ergometer (Concept IIC, Nottingham, UK). The test system (Avicon II, Berlin, Germany) incorporated a load cell for force measurement and a rotary transducer for the determination of stroke length. All participants performed a discontinuous incremental protocol that involved 30 W increments every 4 min and an increase in stroke rate of 2 strokes min-1 with each increment. Ventilatory and gas exchange parameters were measured breath-by-breath (Mijnhardt Oxycon Champion, Bunnick, Holland), and ΩO2 during the 4th minute of each incremental stage was used to determine an individual ΩO2-power regression. The regression was based on an average of four sub-lactate threshold determinations ranging from 59 ± 6 to 78 ± 7 % ΩO2,max. Correlation coefficients (r) for individual regression equations averaged 0.996 ± 0.005 for all groups and were accepted as valid predictive equations (standard error of the estimate = 0.039 ± 0.032 l min-1). The amount of fat oxidised during sub-lactate threshold exercise intensities was estimated from measures of ΩO2 and ΩCO2 using stoichiometric equations (Péronnet & Massicotte, 1991).
The gradient of the ΩO2-power regression was greater in elite compared with club-level oarsmen (14.7 ± 2.4 vs. 13.4 ± 1.8 ml min-1 W-1, respectively; P ▓le│ 0.05, independent samples t test). As a result, the predicted O2 demand at 438 W (the mean maximum power output sustained for 4 min) was also higher in elite than club-level oarsmen (6.85 ± 0.60 vs. 6.62 ± 0.44 l min-1, respectively; P ▓le│ 0.05). The change in excess O2 cost due to fat metabolism relative to the change in power output over sub-lactate threshold exercise intensities yielded a gradient equal to 0.13 ± 0.02 ml min-1 W-1, which accounted for 9.7 % of the difference in ΩO2-power slopes between the groups. The remainder of the difference in ΩO2-power slopes was due to between-group differences in body mass. In conclusion, results of the present study suggest that greater rates of fat metabolism at lower intensities in elite oarsmen can contribute to differences in ΩO2-power slopes determined across the same relative range of exercise intensities.