Physiological Performance Measures as Indicators of CrossFit<sup>®</sup> Performance

CrossFit<sup>&#174;</sup> began as another exercise program to improve physical fitness and has rapidly grown into the &#8220;sport of fitness&#8222;. However, little is understood as to the physiological indicators that determine CrossFit<sup>&#174;</sup> spo...

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Main Authors: Joshua D. Dexheimer, E. Todd Schroeder, Brandon J. Sawyer, Robert W. Pettitt, Arnel L. Aguinaldo, William A. Torrence
Format: Article
Language:English
Published: MDPI AG 2019-04-01
Series:Sports
Subjects:
Online Access:https://www.mdpi.com/2075-4663/7/4/93
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author Joshua D. Dexheimer
E. Todd Schroeder
Brandon J. Sawyer
Robert W. Pettitt
Arnel L. Aguinaldo
William A. Torrence
author_facet Joshua D. Dexheimer
E. Todd Schroeder
Brandon J. Sawyer
Robert W. Pettitt
Arnel L. Aguinaldo
William A. Torrence
author_sort Joshua D. Dexheimer
collection DOAJ
description CrossFit<sup>&#174;</sup> began as another exercise program to improve physical fitness and has rapidly grown into the &#8220;sport of fitness&#8222;. However, little is understood as to the physiological indicators that determine CrossFit<sup>&#174;</sup> sport performance. The purpose of this study was to determine which physiological performance measure was the greatest indicator of CrossFit<sup>&#174;</sup> workout performance. Male (<i>n</i> = 12) and female (<i>n</i> = 5) participants successfully completed a treadmill graded exercise test to measure maximal oxygen uptake (VO<sub>2max</sub>), a 3-minute all-out running test (3MT) to determine critical speed (CS) and the finite capacity for running speeds above CS (D&#8242;), a Wingate anaerobic test (WAnT) to assess anaerobic peak and mean power, the CrossFit<sup>&#174;</sup> total to measure total body strength, as well as the CrossFit<sup>&#174;</sup> benchmark workouts: Fran, Grace, and Nancy. It was hypothesized that CS and total body strength would be the greatest indicators of CrossFit<sup>&#174;</sup> performance. Pearson&#8217;s r correlations were used to determine the relationship of benchmark performance data and the physiological performance measures. For each benchmark-dependent variable, a stepwise linear regression was created using significant correlative data. For the workout Fran, back squat strength explained 42% of the variance. VO<sub>2max</sub> explained 68% of the variance for the workout Nancy. Lastly, anaerobic peak power explained 57% of the variance for performance on the CrossFit<sup>&#174;</sup> total. In conclusion, results demonstrated select physiological performance variables may be used to predict CrossFit<sup>&#174;</sup> workout performance.
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spelling doaj.art-0342dc46b2354e8db5b947c5b8dec3082022-12-22T02:55:43ZengMDPI AGSports2075-46632019-04-01749310.3390/sports7040093sports7040093Physiological Performance Measures as Indicators of CrossFit<sup>®</sup> PerformanceJoshua D. Dexheimer0E. Todd Schroeder1Brandon J. Sawyer2Robert W. Pettitt3Arnel L. Aguinaldo4William A. Torrence5Department of Exercise Science, Concordia University Chicago, Riverforest, IL 60305, USADivision of Biokinesiology &amp; Physical Therapy, University of Southern California, Los Angeles, CA 90033, USADepartment of Kinesiology, Point Loma Nazarene University, San Diego, CA 92106, USAOffice of Research and Sponsored Projects, Rocky Mountain University of Health Professions, Provo, UT 84606, USADepartment of Kinesiology, Point Loma Nazarene University, San Diego, CA 92106, USADepartment of Exercise Science, Concordia University Chicago, Riverforest, IL 60305, USACrossFit<sup>&#174;</sup> began as another exercise program to improve physical fitness and has rapidly grown into the &#8220;sport of fitness&#8222;. However, little is understood as to the physiological indicators that determine CrossFit<sup>&#174;</sup> sport performance. The purpose of this study was to determine which physiological performance measure was the greatest indicator of CrossFit<sup>&#174;</sup> workout performance. Male (<i>n</i> = 12) and female (<i>n</i> = 5) participants successfully completed a treadmill graded exercise test to measure maximal oxygen uptake (VO<sub>2max</sub>), a 3-minute all-out running test (3MT) to determine critical speed (CS) and the finite capacity for running speeds above CS (D&#8242;), a Wingate anaerobic test (WAnT) to assess anaerobic peak and mean power, the CrossFit<sup>&#174;</sup> total to measure total body strength, as well as the CrossFit<sup>&#174;</sup> benchmark workouts: Fran, Grace, and Nancy. It was hypothesized that CS and total body strength would be the greatest indicators of CrossFit<sup>&#174;</sup> performance. Pearson&#8217;s r correlations were used to determine the relationship of benchmark performance data and the physiological performance measures. For each benchmark-dependent variable, a stepwise linear regression was created using significant correlative data. For the workout Fran, back squat strength explained 42% of the variance. VO<sub>2max</sub> explained 68% of the variance for the workout Nancy. Lastly, anaerobic peak power explained 57% of the variance for performance on the CrossFit<sup>&#174;</sup> total. In conclusion, results demonstrated select physiological performance variables may be used to predict CrossFit<sup>&#174;</sup> workout performance.https://www.mdpi.com/2075-4663/7/4/93CrossFit<sup>®</sup> sport performancephysiological indicatorsbenchmark performanceVO<sub>2max</sub>critical speedD′strength
spellingShingle Joshua D. Dexheimer
E. Todd Schroeder
Brandon J. Sawyer
Robert W. Pettitt
Arnel L. Aguinaldo
William A. Torrence
Physiological Performance Measures as Indicators of CrossFit<sup>®</sup> Performance
Sports
CrossFit<sup>®</sup> sport performance
physiological indicators
benchmark performance
VO<sub>2max</sub>
critical speed
D′
strength
title Physiological Performance Measures as Indicators of CrossFit<sup>®</sup> Performance
title_full Physiological Performance Measures as Indicators of CrossFit<sup>®</sup> Performance
title_fullStr Physiological Performance Measures as Indicators of CrossFit<sup>®</sup> Performance
title_full_unstemmed Physiological Performance Measures as Indicators of CrossFit<sup>®</sup> Performance
title_short Physiological Performance Measures as Indicators of CrossFit<sup>®</sup> Performance
title_sort physiological performance measures as indicators of crossfit sup r sup performance
topic CrossFit<sup>®</sup> sport performance
physiological indicators
benchmark performance
VO<sub>2max</sub>
critical speed
D′
strength
url https://www.mdpi.com/2075-4663/7/4/93
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