Improving biologic predictors of cycling endurance performance with near‐infrared spectroscopy derived measures of skeletal muscle respiration: E pluribus unum
Philip M. Batterson, Michael Norton, Sarah E. Hetz, Sachi Rohilla, Keston G. Lindsay, Andrew W. Subudhi, Robert A. Jacobs
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.
Topics & Concepts
CyclingSkeletal muscleTime trialRespirationVentilatory thresholdVO2 maxEndurance trainingOxidative phosphorylationExercise physiologyRepeated measures designAnalysis of varianceMedicinePhysical therapyInternal medicineChemistryMathematicsStatisticsBiochemistryHeart rateAnatomyBlood pressureArchaeologyHistoryCardiovascular and exercise physiologySports Performance and TrainingPhysical Activity and Health