The Relationship Between Neuromuscular Function and the W′ in Elite Cyclists

Abstract

Purpose: To assess the association between the W′ and measures of neuromuscular function relating to the capacity of skeletal muscle to produce force in a group of elite cyclists. Methods: Twenty-two athletes specializing in a range of disciplines and competing internationally volunteered to participate. Athletes completed assessments of maximum voluntary torque (MVT), voluntary activation, and isometric maximum voluntary contraction to measure rate of torque development (RTD). This was followed by assessment of peak power output (PPO) and 3-, 5-, and 12-minute time trials to determine critical power. Pearson correlation was used to examine associations with critical power and W′. Goodness of fit was calculated, and significant relationships were included in a linear stepwise regression model. Results: Significant positive relationships were evident between W′ and MVT (r = .82), PPO (r = .70), and RTD at 200 milliseconds (r = .59) but not with RTD at 50 milliseconds and voluntary activation. Correlations were also observed between critical power and RTD at 200 milliseconds and MVT (r = .54 and r = .51, respectively) but not with PPO, voluntary activation, or RTD at 50 milliseconds. The regression analysis found that 87% of the variability in W′ (F1,18 = 68.75; P < .001) was explained by 2 variables: MVT (81%) and PPO (6%). Conclusions: It is likely that muscle size and strength, as opposed to neural factors, contribute meaningfully to W′. These data can be used to establish training methods to enhance W′ to improve cycling performance in well-trained athletes.

Time-course Changes of Field- and Laboratory-based Performance Indicators in Junior Cyclists Through a Season

“…Strong evidence supports that several indicators assessed in the laboratory (e.g., peak power output [PPO], maximum oxygen uptake [VO 2max ], ventilatory thresholds) [1][2][3][4][5] or during actual training or racing (e.g., the so-called record power profile [RPP]) [6][7][8] are associated with endurance cycling performance. Although scarcer and mixed evidence exists regarding their actual associa-tion with endurance cycling performance, body composition (e.g., muscle and fat mass) [9][10][11][12][13][14] and strength/power markers [15] are also routinely monitored in cyclists.…”