Modelo preditivo do desempenho de ciclistas durante prova de rua simulada

Abstract

Rationale: Some physiological variables have traditionally been suggested as important for performance in cycling events, among them the variables derived by laboratory testing open as VO2max, WPICO, LAn and TLIM. Recently closed tests have been suggested for the evaluation of the performance of cyclists. However, it is unknown which of these variables derived from open or closed tests, they could better explain the real cycling performance. Goal: Analyze which variables derived from open or closed tests, would have better ability to predict performance in a simulated real 63,5km street cycling. Sample: Fifteen male cyclists, aged between 19 and 45 years old (29.0 + 5.7 years of age, 175.0 cm + 6.0, 70.5 + 5.3 kg 12.3 + 3 6% fat). Methods: The subjects underwent testing sessions to obtain the following variables derived from open tests: VO2max, peak power in incremental test (WPICO) power of the anaerobic threshold (AT) and the length of timeout in charge equal to WPICO. In addition, closed test 20 km (TT20km) and 5 km (TT5km) were obtained in the laboratory and in the field. Results: VO2max values &#8203;&#8203;and WPICO were compatible with commonly found in well-trained cyclists (60.75 + 6.79 ml.kg -1 .min -1 and 304 W + 32.5, respectively). Significant correlations were observed between the performance in the simulated street cycling race and the WPICO (r = -0.83; p = 0.00), the TT20km (r = 0.71; p = 0.00), and The WLAN (r = -0.63; p = 0.01). All other independent variables analyzed in this study were not correlated with performance in simulated cycling race. Single and multiple stepwise regressive models presented the WPICO and TT20km how variables to provide the best estimates with lower standard error of estimate (<3 minutes), performance in simulated street. However, WPICO was the only variable to enter the multiple regression model, explaining 68% of the variance of the street race time. Conclusion: Despite the theoretical appeal indicating greater ecological validity in closed tests, was a variable derived from the maximum incremental test, WPICO, the only variable to enter the final predictive model and explain the performance in simulated real test.