January 1, 2020Open Access

Improving biologic predictors of cycling endurance performance with near‐infrared spectroscopy derived measures of skeletal muscle respiration: E pluribus unum

Key Points

Key points are not available for this paper at this time.

Abstract

= .762, F = 25.6, SEE = 128.7, p < .001). These results confirm our hypothesis by demonstrating that maximal rates of skeletal muscle respiration more completely explain cycling endurance performance than even the best combination of traditional variables long postulated to predict human endurance performance.

Read Full Paperexternally

Perguntar à IA

Bookmark

View Full Paper

Cite This Study

Batterson et al. (Wed,) studied this question.

synapsesocial.com/papers/6a105ca664e8141cd2603a41 https://doi.org/https://doi.org/10.14814/phy2.14342

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

1Physiological and biomechanical factors associated with elite endurance cycling performance1991 · 548 citations
2Chemical energetics of slow- and fast-twitch muscles of the mouse.1982 · 554 citations
3Maximum rate of oxygen uptake by human skeletal muscle in relation to maximal activities of enzymes in the Krebs cycle1997 · 192 citations
4Determinants of time trial performance and maximal incremental exercise in highly trained endurance athletes2011 · 179 citations
5Exercise training increases skeletal muscle mitochondrial volume density by enlargement of existing mitochondria and not <i>de novo</i> biogenesis2017 · 152 citations

Perguntar à IA

Bookmark

View Full Paper