The aim of the study: to identify the effect of pedaling rate of cyclists to the indices of vegetative systems during consistently increasing workload. Hypothesis. We claimed that the rate of pedaling will have impact on some indices of cyclists’ vegetative systems during consistently increasing workload. The objectives 1. To evaluate the effect of pedaling rate to indices of maximal aerobic power. 2. To evaluate the effect of pedaling rate to indices of anaerobic metabolism threshold. 3. To identify the effect of pedaling rate to the efficiency of aerobic work. Subjects: 7 Lithuanian cyclists – the members of the selected. Their age: 18,1±2,04 years, height: 178±6,4 cm, and body mass 71,6±8,4 kg. The methods of the study: 1) the identification of aerobic fitness during the consistently increasing workload on the veloergometer with different pedaling rates (70, 90, 110 rpm). The warming-up was performed (10 min with the 50 W power). The initial testing load (20 W) was increased every 5 s, consistently by 2 W. The load was increased until the fatigue. After that the subject rested in lying position for 5 minutes. The workload was applied once a day; 3 tests were conducted during a week. 2) The first (VeT1) and the second (VeT2) ventilatory thresholds were determined according to the dependence of lungs ventilation and also of ventilatory oxygen and CO2 equivalents on the power of the work. After 5 minutes of the rest period the capillary blood samples were taken from the... [to full text]

In track cycling sprint events, optimal cadence PRopt is a dynamic aspect of fatigue. It is currently unclear what cadence is optimal for an athlete’s performance in sprint races and how it can be calculated. We examined fatigue-induced changes in optimal cadence during a maximal sprint using a mathematical approach. Nine elite track cyclists completed a 6-s high-frequency pedaling test and a 60-s isokinetic all-out sprint on a bicycle ergometer with continuous monitoring of crank force and cadence. Fatigue-free force-velocity (F/v) and power-velocity (P/v) profiles were derived from both tests. The development of fatigue during the 60-s sprint was assessed by fixing the slope of the fatigue-free F/v profile. Fatigue-induced alterations in PRopt were determined by non-linear regression analysis using a mono-exponential equation at constant slope. The study revealed that PRopt at any instant during a 60-s maximal sprint can be estimated accurately using a mono-exponential equation. In an isokinetic mode, a mean PRopt can be identified that enables the athlete to generate the highest mean power output over the course of the effort. Adding the time domain to the fatigue-free F/v and P/v profiles allows time-dependent cycling power to be modelled independent of cadence.