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Physiological Performance Measures as Indicators of CrossFit® Performance.
Joshua D Dexheimer1,2, E Todd Schroeder3, Brandon J Sawyer4
1Department of Exercise Science, Concordia University Chicago, Riverforest, IL 60305, USA. jdexheimer@apu.edu.
Key physiological measures like maximal oxygen uptake and anaerobic power can predict CrossFit® performance. Specific tests, such as back squat strength, are strong indicators for certain benchmark workouts.
Area of Science:
- Exercise Physiology
- Sports Science
- Biomechanical Performance Analysis
Background:
- CrossFit® has evolved from a fitness program into a competitive sport.
- Understanding the physiological determinants of CrossFit® performance is crucial but not well-established.
Purpose of the Study:
- To identify the primary physiological performance indicators influencing CrossFit® benchmark workout outcomes.
- To correlate various physiological measures with performance in specific CrossFit® challenges.
Main Methods:
- Participants (12 male, 5 female) underwent tests for maximal oxygen uptake (VO2max), critical speed (CS), anaerobic power (Wingate), and total body strength (CrossFit® total).
- Performance was assessed across CrossFit® benchmark workouts: Fran, Grace, and Nancy.
- Pearson's r correlations and stepwise linear regression analyses were employed to link physiological data with workout performance.
Main Results:
- Back squat strength significantly predicted performance in the 'Fran' workout, explaining 42% of the variance.
- Maximal oxygen uptake (VO2max) was a strong predictor for the 'Nancy' workout, accounting for 68% of the variance.
- Anaerobic peak power explained 57% of the variance in performance for the CrossFit® total.
Conclusions:
- Specific physiological variables, including VO2max, anaerobic power, and strength, can effectively predict performance in various CrossFit® workouts.
- These findings offer valuable insights for athletes and coaches aiming to optimize training strategies for CrossFit®.
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