Purpose This study aimed to introduce and validate a novel method for assessing dynamic fatigue components through a single-sprint test, addressing the limitations of traditional multi-sprint evaluations. Methods We tested this method on twenty-one participants by computing torque–cadence relationships from two iso-friction sprints at varying friction levels (3% and 9% of body mass), the traditional combination of these iso-friction sprints and a novel decreasing ramp friction sprint (<InlineEquation ID="IEq1"> <EquationSource Format="TEX">$\text {Fr}_{\text {D}}$</EquationSource> <EquationSource Format="MATHML"><math> <msub> <mtext>Fr</mtext> <mtext>D</mtext> </msub> </math></EquationSource> </InlineEquation>). The accuracy of this new method through fatigue was also tested with ten 6-s <InlineEquation ID="IEq2"> <EquationSource Format="TEX">$\text {Fr}_{\text {D}}$</EquationSource> <EquationSource Format="MATHML"><math> <msub> <mtext>Fr</mtext> <mtext>D</mtext> </msub> </math></EquationSource> </InlineEquation> sprints interspersed with a 24-s passive rest. Results <InlineEquation ID="IEq3"> <EquationSource Format="TEX">$\text {Fr}_{\text {D}}$</EquationSource> <EquationSource Format="MATHML"><math> <msub> <mtext>Fr</mtext> <mtext>D</mtext> </msub> </math></EquationSource> </InlineEquation> outperformed single iso-friction sprints and provided accurate and valid torque–cadence relationship’s parameters estimates (<InlineEquation ID="IEq4"> <EquationSource Format="TEX">${T}_{\text {0}}$</EquationSource> <EquationSource Format="MATHML"><math> <msub> <mi>T</mi> <mtext>0</mtext> </msub> </math></EquationSource> </InlineEquation>, <InlineEquation ID="IEq5"> <EquationSource Format="TEX">${C}_{\text {0}}$</EquationSource> <EquationSource Format="MATHML"><math> <msub> <mi>C</mi> <mtext>0</mtext> </msub> </math></EquationSource> </InlineEquation>, and <InlineEquation ID="IEq6"> <EquationSource Format="TEX">${P}_{\text {max}}$</EquationSource> <EquationSource Format="MATHML"><math> <msub> <mi>P</mi> <mtext>max</mtext> </msub> </math></EquationSource> </InlineEquation>) with systematic bias < 3%, typical error of estimate < 6% and very high <InlineEquation ID="IEq7"> <EquationSource Format="TEX">${r}^{{2}}$</EquationSource> <EquationSource Format="MATHML"><math> <msup> <mrow> <mi>r</mi> </mrow> <mn>2</mn> </msup> </math></EquationSource> </InlineEquation> (median of 0.962). The quality of the input data from this method was also high, as evidenced by the well-distributed and wide-range cadence spectrum (51.3% of <InlineEquation ID="IEq8"> <EquationSource Format="TEX">${C}_{{0}}$</EquationSource> <EquationSource Format="MATHML"><math> <msub> <mi>C</mi> <mn>0</mn> </msub> </math></EquationSource> </InlineEquation>; skewness = <InlineEquation ID="IEq9"> <EquationSource Format="TEX">$-$</EquationSource> <EquationSource Format="MATHML"><math> <mo>-</mo> </math></EquationSource> </InlineEquation>0.51, <InlineEquation ID="IEq10"> <EquationSource Format="TEX">$p < 0.05$</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <mi>p</mi> <mo><</mo> <mn>0.05</mn> </mrow> </math></EquationSource> </InlineEquation>) and was maintained throughout the fatiguing exercise. Conclusions Our novel method not only allows the dynamic fatigue components evaluation with only one sprint but also maintains accuracy and validity across varying fatigue states, offering significant advantages for both research and practical applications.

A single decreasing ramp friction sprint for torque-cadence relationship assessment in cycling

期刊论文
发表日期：

2025年9月11日

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Pablo Rozier-Delgado,
Maximilien Bowen,
Marion Dussauge,
Pierre Samozino,
Baptiste Morel

摘要

Purpose

This study aimed to introduce and validate a novel method for assessing dynamic fatigue components through a single-sprint test, addressing the limitations of traditional multi-sprint evaluations.

Methods

We tested this method on twenty-one participants by computing torque–cadence relationships from two iso-friction sprints at varying friction levels (3% and 9% of body mass), the traditional combination of these iso-friction sprints and a novel decreasing ramp friction sprint ( $\text {Fr}_{\text {D}}$ ${Fr}_{D}$ ). The accuracy of this new method through fatigue was also tested with ten 6-s $\text {Fr}_{\text {D}}$ ${Fr}_{D}$ sprints interspersed with a 24-s passive rest.

Results

$\text {Fr}_{\text {D}}$ ${Fr}_{D}$ outperformed single iso-friction sprints and provided accurate and valid torque–cadence relationship’s parameters estimates ( ${T}_{\text {0}}$ $T_{0}$ , ${C}_{\text {0}}$ $C_{0}$ , and ${P}_{\text {max}}$ $P_{max}$ ) with systematic bias < 3%, typical error of estimate < 6% and very high ${r}^{{2}}$ $r^{2}$ (median of 0.962). The quality of the input data from this method was also high, as evidenced by the well-distributed and wide-range cadence spectrum (51.3% of ${C}_{{0}}$ $C_{0}$ ; skewness = $-$ $-$ 0.51, $p < 0.05$ $p < 0.05$ ) and was maintained throughout the fatiguing exercise.

Conclusions

Our novel method not only allows the dynamic fatigue components evaluation with only one sprint but also maintains accuracy and validity across varying fatigue states, offering significant advantages for both research and practical applications.