Dexheimer Joshua D, Schroeder E Todd, Sawyer Brandon J, Pettitt Robert W, Aguinaldo Arnel L, Torrence William A
Department of Exercise Science, Concordia University Chicago, Riverforest, IL 60305, USA.
Department of Kinesiology, Azusa Pacific University, Azusa, CA 91702, USA.
Sports (Basel). 2019 Apr 22;7(4):93. doi: 10.3390/sports7040093.
CrossFit began as another exercise program to improve physical fitness and has rapidly grown into the "sport of fitness". However, little is understood as to the physiological indicators that determine CrossFit sport performance. The purpose of this study was to determine which physiological performance measure was the greatest indicator of CrossFit workout performance. Male ( = 12) and female ( = 5) participants successfully completed a treadmill graded exercise test to measure maximal oxygen uptake (VO), a 3-minute all-out running test (3MT) to determine critical speed (CS) and the finite capacity for running speeds above CS (D'), a Wingate anaerobic test (WAnT) to assess anaerobic peak and mean power, the CrossFit total to measure total body strength, as well as the CrossFit benchmark workouts: Fran, Grace, and Nancy. It was hypothesized that CS and total body strength would be the greatest indicators of CrossFit performance. Pearson'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 explained 68% of the variance for the workout Nancy. Lastly, anaerobic peak power explained 57% of the variance for performance on the CrossFit total. In conclusion, results demonstrated select physiological performance variables may be used to predict CrossFit workout performance.
CrossFit最初是另一项旨在提高身体素质的锻炼计划,并且已迅速发展成为“健身运动”。然而,对于决定CrossFit运动表现的生理指标,人们了解甚少。本研究的目的是确定哪种生理表现指标是CrossFit训练表现的最佳指标。男性(n = 12)和女性(n = 5)参与者成功完成了一项跑步机分级运动测试,以测量最大摄氧量(VO₂);一项3分钟全力跑测试(3MT),以确定临界速度(CS)和高于CS的跑步速度的极限能力(D');一项温盖特无氧测试(WAnT),以评估无氧峰值和平均功率;CrossFit总成绩,以测量全身力量;以及CrossFit基准训练:Fran、Grace和Nancy。研究假设CS和全身力量将是CrossFit表现的最佳指标。使用皮尔逊积矩相关系数来确定基准表现数据与生理表现指标之间的关系。对于每个基准因变量,使用显著相关数据创建逐步线性回归。对于训练Fran,后深蹲力量解释了42%的方差。VO₂解释了训练Nancy 68%的方差。最后,无氧峰值功率解释了CrossFit总成绩表现57%的方差。总之·结果表明,特定的生理表现变量可用于预测CrossFit训练表现。