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Strength Exercise F-v and P-v Profiles as Predictors of Elite Sprint-Cycling Performance
Anna Katharina Dunst1, Sanghyeon Ji2,3, Patrick Wahl2,3
1Department of Endurance Sports, Institute for Applied Training Science, Leipzig, Germany.
Purpose:
Maximal neuromuscular performance is a critical determinant of track sprint-cycling performance. This study investigated the relationships between force-velocity (F-v) and power-velocity (P-v) profiles derived from 5 strength exercises and maximal cycling performance in both seated and standing sprint positions.
Methods:
Twenty-three elite track sprint cyclists (7 female, 16 male; flying 200 m: 9.5-11.5 s) participated in progressive loading tests involving back squat (BS), front squat, power clean (PC), leg press, and deadlift, in addition to maximal seated and standing acceleration sprints on a velodrome. F-v and P-v profiles were established using linear and nonlinear regression models to calculate maximal force (Fmax), maximal power output (Pmax), and maximal movement velocity (vmax) for each task performed.
Results:
Significant positive correlations were observed between Fmax and Pmax across all strength exercises and cycling positions (r = .656-.914, P < .05). Partial correlations highlighted Fmax in the BS, front squat, and deadlift and Pmax in the PC and leg press as primary contributors, corresponding to intersection points of exercise- and cycling-specific F-v profiles. Multiple-regression analysis identified BS Fmax and PC Pmax as the strongest predictors of cycling Fmax and Pmax (R2 = .694-.964, P ≤ .001). Conversely, vmax was not significantly associated with any cycling performance variables.
Conclusion:
Strength exercises that replicate the kinematic patterns and F-v demands of sprint cycling, particularly BS and PC, are strongly associated with cycling-specific F-v and P-v characteristics, emphasizing that such exercises may enhance the transfer of strength gains to on-bike sprint performance. However, intervention studies are required to confirm causality.
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