Rodríguez-Rosell David, Yáñez-García Juan M, Mora-Custodio Ricardo, Torres-Torrelo Julio, Ribas-Serna Juan, González-Badillo Juan José
Physical Performance & Sports Research Center, Universidad Pablo de Olavide, Seville, Spain.
Department of Sport and Informatics, Universidad Pablo de Olavide, Seville, Spain.
J Strength Cond Res. 2020 Aug 27. doi: 10.1519/JSC.0000000000003805.
Rodríguez-Rosell, D, Yáñez-García, JM, Mora-Custodio, R, Torres-Torrelo, J, Ribas-Serna, J, and González-Badillo, JJ. Role of the effort index in predicting neuromuscular fatigue during resistance exercises. J Strength Cond Res XX(X): 000-000, 2020-This study aimed: (a) to analyze the acute mechanical, metabolic, and electromyographic (EMG) response to 16 resistance exercise protocols (REPs) defined by the first repetition's mean velocity and the percentage of velocity loss (%VL) over the set in the full-squat (SQ) exercise; and (b) to assess whether the effort index (EI, the product of the first repetition's mean velocity and the %VL in the set) could be used as an objective indicator of neuromuscular fatigue. Eleven resistance-trained men performed 16 REPs in the SQ exercise. For the configuration of the 16 REPs, 4 relative intensities (50, 60, 70, and 80% 1 repetition maximum) and 4 magnitudes of %VL (∼10, ∼20, ∼30, and ∼45%) were used. The induced fatigue after each REP was quantified using the percentage of change in (a) countermovement jump (CMJ) height, (b) mean propulsive velocity attained with the load that elicited an ∼1.00 m·s (V1 m·s load), and (c) changes in surface EMG variables. Blood lactate concentration was also collected. The EI presented very strong relationships with the %VL with the V1 m·s load, CMJ height, and post-exercise lactate concentration (r = 0.92, 0.93, and 0.91, respectively; p < 0.001). Moderate to strong relationships were found between the EI and the changes in amplitude (r = 054-0.58; p < 0.05), frequency (r = -0.55 to -0.83; p < 0.05-0.001), and time-frequency (r = 0.52-0.77; p < 0.05-0.001) EMG variables. In addition, the moderate to strong relationships found between the relative changes in mechanical, metabolic, and EMG variables after each REP reinforce the validity of the EI as an objective indicator of muscle fatigue, metabolic stress, and neural effect induced by typical resistance training sessions. Thus, by adjusting the EI in each session, it is possible to quantifying the actual level of effort experienced by each individual during resistance exercises.
罗德里格斯 - 罗塞尔,D;亚涅斯 - 加西亚,JM;莫拉 - 库斯托迪奥,R;托雷斯 - 托雷洛,J;里瓦斯 - 塞尔纳,J;冈萨雷斯 - 巴迪略,JJ。努力指数在预测抗阻训练期间神经肌肉疲劳中的作用。《力量与体能研究杂志》XX(X):000 - 000,2020年。本研究旨在:(a) 分析对16种抗阻训练方案(REPs)的急性机械、代谢和肌电图(EMG)反应,这些方案由全蹲(SQ)练习中第一次重复的平均速度和一组动作中速度损失百分比(%VL)定义;(b) 评估努力指数(EI,第一次重复的平均速度与一组动作中%VL的乘积)是否可作为神经肌肉疲劳的客观指标。11名受过抗阻训练的男性进行了SQ练习中的16种REPs。为配置这16种REPs,使用了4种相对强度(50%、60%、70%和80%的1次重复最大值)和4种%VL幅度(约10%、约20%、约30%和约45%)。使用以下指标的变化百分比对每次REP后的诱发疲劳进行量化:(a) 反向纵跳(CMJ)高度;(b) 用能产生约1.00 m·s(V1 m·s负荷)的负荷获得的平均推进速度;(c) 表面肌电图变量的变化。还收集了血乳酸浓度。EI与V1 m·s负荷下的%VL、CMJ高度和运动后乳酸浓度呈现非常强的相关性(r分别为0.92、0.93和0.91;p < 0.001)。在EI与幅度变化(r = 0.54 - 0.58;p < 0.05)、频率变化(r = -0.55至 -0.83;p < 0.05 - 0.001)以及时频变化(r = 0.52 - 0.77;p < 0.05 - 0.001)的肌电图变量之间发现了中度至强相关性。此外,每次REP后机械、代谢和肌电图变量的相对变化之间发现的中度至强相关性加强了EI作为典型抗阻训练课程引起的肌肉疲劳、代谢应激和神经效应的客观指标的有效性。因此,通过在每次训练中调整EI,可以量化每个人在抗阻训练期间实际经历的努力程度。