Predictive model of cyclists' performance during simulated street competition
DOI:
https://doi.org/10.61695/rcs.v2i3.54Keywords:
WPeak, Ecological validity, Cycling, CorrelationAbstract
Physiological variables obtained through open and closed exercises have been suggested to estimate the athletic performance of cyclists. However, it is unknown which variables best explain the performance of cycling. This study analyzed which variables best explained the performance of cyclists in a simulated race. Cyclists (n=15) undertake different tests to obtain: VO2MAX, WPEAK, LAn e o TLIM. In addition, a 20km (TT20km) and 5 km (TT5km) cycling time trial were performed. Significant correlations were observed between performance in natural cycling simulated and WPEAK (r= -0.83; p= 0,00), TT20km (r= 0.71; p= 0,00), and WLAn (r= -0.63; p= 0.01). Simple and multiple Stepwise regressive models showed that WPEAK and TT20km provided the best estimates, with the lowest error of estimate (< 3 minutes). However, the WPEAK was the single variable in the regressive model, explaining 68% of the variance of the cycling race time. Although the theory suggests greater ecological validity of closed exercises, the WPEAK obtained in open exercise showed greater power to estimate the performance in an actual cycling race.
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