Zeitz Elisabeth K, Cook Lena F, Dexheimer Joshua D, Lemez Srdjan, Leyva Whitney D, Terbio Immanuel Y, Tran Justin R, Jo Edward
Human Performance Research Laboratory, Department of Kinesiology and Health Promotion, California State University Pomona, Pomona, CA 92805, USA.
Department of Kinesiology, Azusa Pacific University, Azusa, CA 91702, USA.
Sports (Basel). 2020 Aug 11;8(8):112. doi: 10.3390/sports8080112.
To date, research has examined the physiological determinants of performance in standardized CrossFit (CF) workouts but not without the influence of CF familiarity. Therefore, the purpose of this present study was to examine the predictive value of aerobic fitness, body composition, and total body strength on performance of two standardized CF workouts in CF-naïve participants. Twenty-two recreationally trained individuals (males = 13, females = 9) underwent assessments of peak oxygen consumption (VO peak), ventilatory thresholds, body composition, and one repetition maximum tests for the back squat, deadlift, and overhead press in which the sum equaled the CF Total. Participants also performed two CF workouts: a scaled version of the CF Open workout 19.1 and a modified version of the CF Benchmark workout Fran to determine scores based on total repetitions completed and time-to-completion, respectively. Simple Pearson's r correlations were used to determine the relationships between CF performance variables (19.1 and modified Fran) and the independent variables. A forward stepwise multiple linear regression analysis was performed and significant variables that survived the regression analysis were used to create a predictive model of CF performance. Absolute VO peak was a significant predictor of 19.1 performance, explaining 39% of its variance (adjusted R = 0.39, = 0.002). For modified Fran, CF Total was a significant predictor and explained 33% of the variance in performance (adjusted R = 0.33, = 0.005). These results suggest, without any influence of CF familiarity or experience, that performance in these two CF workouts could be predicted by distinct laboratory-based measurements of fitness.
迄今为止，已有研究探讨了标准化CrossFit（CF）训练中运动表现的生理决定因素，但这些研究都受到了对CF熟悉程度的影响。因此，本研究的目的是在从未接触过CF的参与者中，检验有氧适能、身体成分和全身力量对两项标准化CF训练表现的预测价值。22名接受过休闲训练的个体（男性13名，女性9名）接受了峰值耗氧量（VO₂峰值）、通气阈值、身体成分评估，以及后深蹲、硬拉和卧推的一次重复最大值测试，这些测试的总和等于CF总分。参与者还进行了两项CF训练：CF公开赛19.1训练的简化版和CF基准训练Fran的修改版，分别根据完成的总重复次数和完成时间来确定分数。使用简单的Pearson积矩相关系数来确定CF表现变量（19.1训练和修改后的Fran训练）与自变量之间的关系。进行了向前逐步多元线性回归分析，将回归分析中留存的显著变量用于建立CF表现的预测模型。绝对VO₂峰值是19.1训练表现的显著预测指标，解释了其39%的方差（调整后R² = 0.39，p = 0.002）。对于修改后的Fran训练，CF总分是显著预测指标，解释了33%的表现方差（调整后R² = 0.33，p = 0.005）。这些结果表明，在没有CF熟悉程度或经验影响的情况下，这两项CF训练的表现可以通过基于实验室的不同体能测量来预测。
