Do physiological measures predict selected CrossFit® benchmark performance?
Do physiological measures predict selected CrossFit® benchmark performance?
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DOI：
10.2147/oajsm.s88265
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发表时间：
2015-01-01
影响因子：
2.4
通讯作者：
Benko, Chad R.
中科院分区：
文献类型：
--
作者：
Butcher, Scotty J.;Neyedly, Tyler J.;Benko, Chad R.
目的：CrossFit((R)) 是一种新型但极其流行的运动训练和竞赛方法，涉及高强度、不断变化的功能性运动。尽管这种训练方法很受欢迎，但 CrossFit 表现的生理决定因素尚未有报道。本研究的目的是确定生理和/或肌肉力量测量是否可以预测三种常见 CrossFit“每日锻炼”(WOD) 的表现。 材料和方法：14 名 CrossFit 公开赛或区域运动员在不同的日子里完成了 WOD“Grace”（30 次挺举）、“Fran”（三轮推进器和引体向上，分别为 21、15 和 9 次重复）和“ Cindy”（20 分钟，每轮 5 个引体向上、10 个俯卧撑和 15 个自重深蹲），以及“CrossFit Total”（1 次最大重复次数 [1RM] 后蹲、过头推举和硬拉）、最大耗氧量 (VO(2)max) 和 Wingate 无氧功率/容量测试。结果：Grace 和 Fran 的表现与全身力量（CrossFit Total）相关（r=-分别为 0.88 和 -0.65）和无氧阈值（分别为 r=-0.61 和 -0.53）；然而，全身力量是唯一在这两个 WOD 的预测回归中幸存下来的变量（R-2 分别为 0.77 和 0.42）。 Cindy 没有显着的关联或预测因素。结论：CrossFit 基准 WOD 表现不能通过 VO2max、Wingate 功率/容量、呼吸补偿或无氧阈值来预测。在测量的数据中，只有全身力量可以部分解释 Grace 和 Fran 的表现，尽管无氧阈值也与表现相关。除了典型的训练外，CrossFit 运动员还应该确保足够的力量和有氧耐力水平，以优化至少在某些基准 WOD 上的表现。
Purpose: CrossFit((R)) is a new but extremely popular method of exercise training and competition that involves constantly varied functional movements performed at high intensity. Despite the popularity of this training method, the physiological determinants of CrossFit performance have not yet been reported. The purpose of this study was to determine whether physiological and/or muscle strength measures could predict performance on three common CrossFit "Workouts of the Day" (WODs).Materials and methods: Fourteen CrossFit Open or Regional athletes completed, on separate days, the WODs "Grace" (30 clean and jerks for time), "Fran" (three rounds of thrusters and pull-ups for 21, 15, and nine repetitions), and " Cindy"(20 minutes of rounds of five pull-ups, ten push-ups, and 15 bodyweight squats), as well as the " CrossFit Total" (1 repetition max [1RM] back squat, overhead press, and deadlift), maximal oxygen consumption (VO(2)max), and Wingate anaerobic power/capacity testing.Results: Performance of Grace and Fran was related to whole-body strength (CrossFit Total) (r=- 0.88 and -0.65, respectively) and anaerobic threshold (r=-0.61 and -0.53, respectively); however, whole-body strength was the only variable to survive the prediction regression for both of these WODs (R-2= 0.77 and 0.42, respectively). There were no significant associations or predictors for Cindy.Conclusion: CrossFit benchmark WOD performance cannot be predicted by VO2max, Wingate power/capacity, or either respiratory compensation or anaerobic thresholds. Of the data measured, only whole-body strength can partially explain performance on Grace and Fran, although anaerobic threshold also exhibited association with performance. Along with their typical training, CrossFit athletes should likely ensure an adequate level of strength and aerobic endurance to optimize performance on at least some benchmark WODs.