Key result
Modelled maximal lactate steady state strongly correlates with critical power but individual variation prevents conceptual similarity.
Why the study?
The study was conducted to compare modelled maximal lactate steady state with field-based critical power in highly trained pro cyclists, and to explore relationships of maximal lactate accumulation and maximal oxygen consumption with outdoor power outputs.
Does modelled maximal lactate steady state correlate with critical power in highly trained professional cyclists?
Cross-Sectional (n=12)
Does modelled maximal lactate steady state correlate with critical power in highly trained professional cyclists?
Effect estimate: r=0.881
Absolute Event Rate: 357% vs 364%
p-value: p=<0.001
While modelled maximal lactate steady state correlates well with critical power on a group level in elite cyclists, substantial individual variation suggests they are not conceptually identical.
May inform elite cyclist threshold modeling; leaves open prospective validation against race performance.
The aim of the current study was to compare modelled maximal lactate steady state with the field-based assessment of critical power in a group of highly trained pro cyclists. As a secondary objective, the relationships of the maximal rate of blood lactate accumulation and maximal oxygen consumption with outdoor maximal mean power output of different durations were explored. Twelve highly trained male professional cyclists performed six successive maximal tests. The maximal lactate steady state was calculated using the maximal rate of blood lactate accumulation, maximal oxygen consumption, resting oxygen uptake and body mass as input parameters. The critical power was estimated using the 3-minute and 20-minute maximal mean power outputs. The mean of the modelled maximal lactate steady state was 357±30.6 W, while the mean of critical power was 364±21.5 W; the modelled maximal lactate steady state and critical power correlated significantly (r=0.881 and p<0.001). The maximal oxygen consumption correlated with the 3-minute maximal mean power (r=0.646 and p=0.023), 20-minute maximal mean power (r=0.846 and p<0.001) and critical power (r=0.858 and p<0.001). No significant correlations were found between maximal rate of blood lactate accumulation and any of the outdoor maximal mean power outputs. The modelled maximal lactate steady state seems to predict critical power well on a group level; however, a substantial individual variation in the difference between the modelled maximal lactate steady state and critical power was observed. This individual variation would argue against conceptual similarity between the critical power and maximal lactate steady state model, which practitioners working within cycling should be aware of.
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Habets et al. (2026) conducted a cross-sectional in Highly trained pro cyclists (n=12). Modelled maximal lactate steady state vs. Critical power was evaluated on Correlation between modelled maximal lactate steady state and critical power (r=0.881, p=<0.001). Modelled maximal lactate steady state correlated significantly with critical power (r=0.881, p<0.001), but substantial individual variation argues against conceptual similarity.
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