Strength exercise F-v and P-v profiles as predictors of elite sprint-cycling performance
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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| Notations: | endurance sports biological and medical sciences |
| Published in: | International Journal of Sports Physiology and Performance |
| Language: | English |
| Published: |
2025
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| Volume: | 20 |
| Issue: | 12 |
| Pages: | 1745-1755 |
| Document types: | article |
| Level: | advanced |