The aim of this study was to determine the physiological variables that predict competition performance during a CrossFit competition. Fifteen male amateur CrossFit athletes (age, 35 ± 9 years; CrossFit experience, 40 ± 27 months) performed a series of laboratory-based tests (incremental load test for deep full squat and bench press; squat, countermovement and drop jump tests; and incremental running and Wingate tests) that were studied as potential predictors of CrossFit performance. Thereafter, they performed the five Workouts of the Day (WODs) corresponding to the CrossFit Games Open 2019, and we assessed the relationship between the laboratory-based markers and CrossFit performance with regression analyses. Overall CrossFit performance (i.e., final ranking considering the sum of all WODs, as assessed by number of repetitions, time spent in exercises or weight lifted) was significantly related to jump ability, mean and peak power output during the Wingate test, relative maximum strength for the deep full squat and the bench press, and maximum oxygen uptake (VO_2max) and speed during the incremental test (all p < 0.05, r = 0.58–0.75). However, the relationship between CrossFit Performance and most laboratory markers varied depending on the analyzed WOD. Multiple linear regression analysis indicated that measures of lower-body muscle power (particularly jump ability) and VO_2max explained together most of the variance (R² = 81%, p < 0.001) in overall CrossFit performance. CrossFit performance is therefore associated with different power-, strength-, and aerobic-related markers.

中文翻译：

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CrossFit 运动员比赛表现的生理预测因素。


本研究的目的是确定预测 CrossFit 比赛期间比赛表现的生理变量。 15 名男性业余 CrossFit 运动员（年龄，35 ± 9 岁；CrossFit 经验，40 ± 27 个月）进行了一系列基于实验室的测试（深蹲和卧推的增量负荷测试；深蹲、反向运动和跳伞测试；以及增量跑步和 Wingate 测试）被研究作为 CrossFit 表现的潜在预测因素。此后，他们进行了与 2019 年 CrossFit Games Open 相对应的五次每日锻炼 (WOD)，我们通过回归分析评估了基于实验室的标记与 CrossFit 表现之间的关系。总体 CrossFit 表现（即考虑所有 WOD 总和的最终排名，通过重复次数、练习或举重所花费的时间进行评估）与跳跃能力、Wingate 测试期间的平均和峰值功率输出、相对最大力量显着相关对于深蹲和卧推，以及增量测试期间的最大摄氧量 (VO _2max ) 和速度（所有p < 0.05，r = 0.58–0.75）。然而，CrossFit 表现与大多数实验室标记之间的关系因分析的 WOD 而异。多元线性回归分析表明，下半身肌肉力量（尤其是跳跃能力）和 VO _{2max 的}测量共同解释了总体 CrossFit 表现中的大部分方差（R ² = 81%， p < 0.001）。因此，CrossFit 表现与不同的功率、力量和有氧相关标记相关。