Naclerio Fernando, Larumbe-Zabala Eneko
1Department of Life and Sports Science, University of Greenwich, Chatham Maritime, United Kingdom; and2Clinical Research Institute, Texas Tech University HSC, Lubbock, Texas.
J Strength Cond Res. 2017 Feb;31(2):323-329. doi: 10.1519/JSC.0000000000001496.
Naclerio, F and Larumbe-Zabala, E. Loading intensity prediction by velocity and the OMNI-RES 0-10 scale in bench press. J Strength Cond Res 32(1): 323-329, 2017-This study examined the possibility of using movement velocity and the perceived exertion as indicators of relative load in the bench press (BP) exercise. A total of 308 young, healthy, resistance trained athletes (242 men and 66 women) performed a progressive strength test up to the one repetition maximum for the individual determination of the full load-velocity and load-exertion relationships. Longitudinal regression models were used to predict the relative load from the average velocity (AV) and the OMNI-Resistance Exercise Scales (OMNI-RES 0-10 scale), considering sets as the time-related variable. Load associated with the AV and the OMNI-RES 0-10 scale value expressed after performing a set of 1-3 repetitions were used to construct 2 adjusted predictive equations: Relative load = 107.75 - 62.97 × average velocity; and Relative load = 29.03 + 7.26 × OMNI-RES 0-10 scale value. The 2 models were capable of estimating the relative load with an accuracy of 84 and 93%, respectively. These findings confirm the ability of the 2 calculated regression models, using load-velocity and load-exertion from the OMNI-RES 0-10 scale, to accurately predict strength performance in BP.
纳克利奥,F和拉鲁姆贝 - 萨巴拉,E。通过卧推中的速度和OMNI - RES 0 - 10量表预测负荷强度。《力量与体能研究杂志》32(1): 323 - 329,2017年 - 本研究探讨了将运动速度和主观用力程度作为卧推(BP)练习中相对负荷指标的可能性。共有308名年轻、健康、经过抗阻训练的运动员(242名男性和66名女性)进行了渐进性力量测试,直至达到个人的一次重复最大值,以分别确定完整的负荷 - 速度和负荷 - 用力关系。使用纵向回归模型,将组次作为与时间相关的变量,从平均速度(AV)和OMNI - 抗阻运动量表(OMNI - RES 0 - 10量表)预测相对负荷。与进行一组1 - 3次重复后所表现出的AV和OMNI - RES 0 - 10量表值相关的负荷,被用于构建2个调整后的预测方程:相对负荷 = 107.75 - 62.97×平均速度;相对负荷 = 29.03 + 7.26×OMNI - RES 0 - 10量表值。这2个模型分别能够以84%和93%的准确率估计相对负荷。这些发现证实了使用来自OMNI - RES 0 - 10量表的负荷 - 速度和负荷 - 用力的2个计算回归模型,能够准确预测卧推中的力量表现。