title: The critical power function is dependent on the duration of the predictive exercise tests chosen.
abstract: The linear relationship between work accomplished (W(lim)) and time to exhaustion (t(lim)) can be described by the equation: W(lim) = a + CP x t(lim). Critical power (CP) is the slope of this line and is thought to represent a maximum rate of ATP synthesis without exhaustion, presumably an inherent characteristic of the aerobic energy system. The present investigation determined whether the choice of predictive tests would elicit significant differences in the estimated CP. Ten female physical education students completed, in random order and on consecutive days, five all-out predictive tests at preselected constant-power outputs. Predictive tests were performed on an electrically-braked cycle ergometer and power loadings were individually chosen so as to induce fatigue within approximately 1-10 mins. CP was derived by fitting the linear W(lim)-t(lim) regression and calculated three ways: 1) using the first, third and fifth W(lim)-t(lim) coordinates (I135), 2) using coordinates from the three highest power outputs (I123; mean t(lim) = 68-193 s) and 3) using coordinates from the lowest power outputs (I345; mean t(lim) = 193-485 s). Repeated measures ANOVA revealed that CPI123 (201.0+/-37.9W) > CPI135 (176.1+/-27.6W) > CPI345 (164.0+/-22.8W) (P<0.05). When the three sets of data were used to fit the hyperbolic Power-t(lim) regression, statistically significant differences between each CP were also found (P<0.05). The shorter the predictive trials, the greater the slope of the W(lim)-t(lim) regression; possibly because of the greater influence of 'aerobic inertia' on these trials. This may explain why CP has failed to represent a maximal, sustainable work rate. The present findings suggest that if CP is to represent the highest power output that an individual can maintain "for a very long time without fatigue" then CP should be calculated over a range of predictive tests in which the influence of aerobic inertia is minimised.
authors.affiliation: Department of Human Movement Studies, The University of Queensland, Brisbane, Australia.
authors.forename: D
authors.initials: D
authors.lastname: Bishop
authors.forename: D G
authors.initials: DG
authors.lastname: Jenkins
authors.forename: A
authors.initials: A
authors.lastname: Howard
mesh_terms: D000255:Adenosine Triphosphate / Q000096:biosynthesis; D000293:Adolescent; D000465:Algorithms; D000704:Analysis of Variance; D004734:Energy Metabolism / Q000502:physiology; D016552:Ergometry / Q000706:statistics & numerical data*; D005080:Exercise Test / Q000706:statistics & numerical data*; D005221:Fatigue / Q000503:physiopathology; D005260:Female; D005544:Forecasting; D006801:Humans; D016014:Linear Models; D008954:Models, Biological; D010101:Oxygen Consumption / Q000502:physiology; D010807:Physical Endurance / Q000502:physiology; D005082:Physical Exertion / Q000502:physiology; D011237:Predictive Value of Tests; D013997:Time Factors; D014937:Work / Q000502:physiology
chemical_list: D000255:Adenosine Triphosphate