Understanding optimal cadence dynamics: a systematic analysis of the power-velocity relationship in track cyclists with increasing exercise intensity
Participants
n=14 professional track cyclists (9 sprinters, 5 endurance athletes).
Protocol
On an SRM ergometer: submaximal incremental tests, high-intensity cycling trials and maximal sprints at 60, 90 and 120 rpm. HR, VO2 and blood lactate were regressed against power at each cadence; work rates at LT1, FATmax, MLSS and VO2max were found with cadence-specific inverse functions, and state-specific force-velocity and power-velocity profiles gave an optimal cadence for each state. Fatigue-free profiles came from the sprint data.
Key Results
| Metabolic state | Optimal cadence (rpm) |
|---|---|
| LT1 | 66.18 ± 3.00 |
| FATmax | 76.01 ± 3.36 |
| MLSS | 82.24 ± 2.59 |
| VO2max | 84.49 ± 2.66 |
| Fatigue-free (sprint) | 135 ± 11 |
Mechanism
Authors' interpretation: threshold-specific jumps in optimal cadence suggest a shift toward faster muscle-fibre types beyond each threshold; they argue movement velocity should be built into Henneman's size principle and the critical-power curve, and that intensity zones should be expressed as a function of movement velocity, not in absolute terms.
Inference, not tested: the "lower cadence minimises internal work at low intensity" reading is standard cycling biomechanics, not a measurement from this paper.
Practical Application
Limitations
How this entry was checked and changed
regraded 2026-09-27 from A: single-group measurement study, n=14; "systematic analysis" in the title is not a systematic review