Does training mix relate to power when fatigued?
In 30 U23 pros, a shift toward polarized went with better 12-min power after 2,000 kJ (r = 0.41). A correlation across a season, not a test of tempo. Abstract only.
Spragg, Leo and Swart collected data from 30 under-23 professional cyclists across a competitive season, collated into early, mid and late periods. Two power profiles were built from maximal mean power over 2, 5 and 12 min: fresh (before 2000 kJ of work) and fatigued (after 2000 kJ).
Absolute 5- and 12-min and relative 12-min fatigued power were significantly lower late in the season than early and mid-season, and the gap between fresh and fatigued 12-min power grew.
Time below the first ventilatory threshold related to improvements in absolute and relative 2-min fatigued power (r = 0.43, p = 0.018; r = 0.376, p = 0.04), and a shift toward a polarized distribution related to improvements in absolute and relative 12-min fatigued power (r = 0.414, p = 0.023 for both), between subsequent periods.
The authors conclude there is greater variability across a season in the fatigued than the fresh profile, and highlight that a tendency toward polarized is associated with a better fatigued profile. Our reading: a rare season-level link between training mix and durability, and a useful reminder that fatigued power moves.
It is correlation in a selected professional cohort, where racing load and calendar drive both training mix and power; a rider peaking may simply train and race differently in those weeks.
Protocol
Key Results
| Relation (change between periods) | Outcome | r | p |
|---|---|---|---|
| Time below first ventilatory threshold | absolute fatigued 2-min power | 0.43 | 0.018 |
| Time below first ventilatory threshold | relative fatigued 2-min power | 0.376 | 0.04 |
| Shift toward polarized | absolute and relative fatigued 12-min power | 0.414 | 0.023 |
Mechanisms
Practical Application
Limitations
How this entry was checked and changed
(from the abstract) — the rubric's B for a small cohort or correlational design; r values around 0.4 in 30 riders explain about a sixth of the variance (our arithmetic), and the abstract does not say how many relations were tested