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<p>This study investigated the correlation between anaerobic power parameters [peak power (PP), average power (AP), fatigue index (FI), and muscle oxygen saturation (SmO<sub>2</sub>)] during a 30-s Wingate anaerobic test (WANT) in 32 healthy male college students. Muscle oxygenation was monitored via near-infrared spectroscopy (NIRS) on the right quadriceps. Results revealed a significant positive correlation between resting SmO<sub>2</sub> and both PP (<i>r</i> = 0.762, <i>p</i> &lt; 0.001) and AP (<i>r</i> = 0.717, <i>p</i> = 0.001), indicating that higher baseline oxygenation predicts greater anaerobic power output. During exercise, SmO<sub>2</sub> declined gradually from 61.63 to 54.75% (0–10&#xa0;s, phosphocreatine-dominant phase) followed by a sharp decrease to 9.78% (10–30&#xa0;s, glycolytic-dominant phase). Strong negative correlations emerged between SmO<sub>2</sub> and FI from 15 to 30&#xa0;s (<i>r</i> = − 0.952 to − 0.972, <i>p</i> &lt; 0.01), linking oxygen depletion to fatigue accumulation. These findings suggest that resting SmO<sub>2</sub> may serve as a predictor of anaerobic capacity, while real-time SmO<sub>2</sub> dynamics (particularly the 10&#xa0;s inflection point) could optimize training strategies, though further validation in diverse populations is warranted.</p>

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Correlation between anaerobic power and muscle oxygenation during Wingate testing

  • 期刊论文

  • 发表日期：

    2025年10月30日

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  • Haotian Zhao,
  • Ge Song,
  • Chang Liu,
  • Dong Li

摘要

This study investigated the correlation between anaerobic power parameters [peak power (PP), average power (AP), fatigue index (FI), and muscle oxygen saturation (SmO2)] during a 30-s Wingate anaerobic test (WANT) in 32 healthy male college students. Muscle oxygenation was monitored via near-infrared spectroscopy (NIRS) on the right quadriceps. Results revealed a significant positive correlation between resting SmO2 and both PP (r = 0.762, p < 0.001) and AP (r = 0.717, p = 0.001), indicating that higher baseline oxygenation predicts greater anaerobic power output. During exercise, SmO2 declined gradually from 61.63 to 54.75% (0–10 s, phosphocreatine-dominant phase) followed by a sharp decrease to 9.78% (10–30 s, glycolytic-dominant phase). Strong negative correlations emerged between SmO2 and FI from 15 to 30 s (r = − 0.952 to − 0.972, p < 0.01), linking oxygen depletion to fatigue accumulation. These findings suggest that resting SmO2 may serve as a predictor of anaerobic capacity, while real-time SmO2 dynamics (particularly the 10 s inflection point) could optimize training strategies, though further validation in diverse populations is warranted.