دورية أكاديمية
Muscle fiber typology substantially influences time to recover from highintensity exercise.
| العنوان: | Muscle fiber typology substantially influences time to recover from highintensity exercise. |
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| المؤلفون: | Lievens, Eline, Klass, Malgorzata, Bex, Tine, Derave, Wim |
| المصدر: | Journal of Applied Physiology; Mar2020, Vol. 128 Issue 3, p648-659, 12p |
| مصطلحات موضوعية: | PROTON magnetic resonance spectroscopy, FAST-twitch muscle fibers, SLOW-twitch muscle fibers, SKELETAL muscle, WINGATE Anaerobic Test, MUSCLE fatigue, NONINVASIVE diagnostic tests |
| مستخلص: | Human fast-twitch muscle fibers generate high power in a short amount of time but are easily fatigued, whereas slow-twitch fibers are more fatigue resistant. The transfer of this knowledge to coaching is hampered by the invasive nature of the current evaluation of muscle typology by biopsies. Therefore, a noninvasive method was developed to estimate muscle typology through proton magnetic resonance spectroscopy in the gastrocnemius. The aim of this study was to investigate whether male subjects with an a priori-determined fast typology (FT) are characterized by a more pronounced Wingate exercise-induced fatigue and delayed recovery compared with subjects with a slow typology (ST). Ten subjects with an estimated higher percentage of fast-twitch fibers and 10 subjects with an estimated higher percentage of slow-twitch fibers underwent the test protocol, consisting of three 30-s all-out Wingate tests. Recovery of knee extension torque was evaluated by maximal voluntary contraction combined with electrical stimulation up to 5 h after the Wingate tests. Although both groups delivered the same mean power across all Wingates, the power drop was higher in the FT group (-61%) compared with the ST group (-41%). The torque at maximal voluntary contraction had fully recovered in the ST group after 20 min, whereas the FT group had not yet recovered 5 h into recovery. This noninvasive estimation of muscle typology can predict the extent of fatigue and time to recover following repeated all-out exercise and may have applications as a tool to individualize training and recovery cycles. [ABSTRACT FROM AUTHOR] |
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| قاعدة البيانات: | Complementary Index |
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