Modelling of aerobic and anaerobic energy production during exhaustive exercise on a cycle ergometer.
An extension of the original hyperbolic model (Model-2) was proposed by using power output required to elicit maximal oxygen uptake (Pt). This study aimed to test this new model (Model-alpha) using mechanical work produced during cycle ergometry. Model alpha assumed that power exceeding a critical power (Pc) was met partly by the anaerobic metabolism. The parameter alpha was the proportion of the power exceeding Pc provided by anaerobic metabolism, while power exceeding Pt was exclusively met by anaerobic metabolism. Aerobic power was assumed to rise monoexponentially with a time constant tau. The exhaustion was assumed to be reached when the anaerobic work capacity W' was entirely utilised. Twelve subjects performed one progressive ramp test to assess the power at ventilatory threshold (P(VT)) and Pt and five constant-load exercise to exhaustion within 2-30 min, with one to estimate the maximal accumulated oxygen deficit (MAOD). Parameters from Model alpha were fitted with tau equal to 0, 10, 20 and 30 s. Results in goodness-of-fit was better than Model-2 whatever the value assumed for tau (P < 0.05). The value of tau did not affect much the estimates for P (c) and alpha. P (c) estimates were significantly correlated with Pc from Model-2 and with P(VT). W' estimates, which were dependent on the value ascribed to tau, were not statistically different than MAOD. These two variables were, however, not significantly correlated. In conclusion, Model alpha could provide useful information on the critical power and the anaerobic contribution according to exercise intensity, whereas W' estimates should be used with care because of the sensitivity to the assumption on aerobic power kinetics tau.
Chatagnon
Michel
M
Unité de recherche, Physiologie et Physiopathologie de l'Exercice et Handicap, Université de Saint-Etienne, Saint-Etienne, France.
Busso
Thierry
T
D000465:Algorithms; D015308:Anaerobic Threshold / Q000502:physiology; D003198:Computer Simulation; D004734:Energy Metabolism / Q000502:physiology*; D005080:Exercise Test; D006801:Humans; D008954:Models, Biological; D005082:Physical Exertion / Q000502:physiology*