SPORT Research Group (CTS-1024), CERNEP Research Center, University of Almería, Almería, Spain.
Physical Performance & Sports Research Center, Universidad Pablo de Olavide, Seville, Spain.
J Sports Sci Med. 2020 Aug 13;19(3):452-459. eCollection 2020 Sep.
The aim of this study was to analyze the relationship between movement velocity and relative load (%1RM) in the deadlift exercise. Fifty men (age = 23.8 ± 3.6 years, body mass = 78.2 ± 8.3 kg, height = 1.78 ± 0.06 m) performed a first evaluation (T1) consisting of a one-repetition maximum (1RM) test. Forty-two subjects performed a second evaluation (T2) after 6 weeks. Mean (MV), mean propulsive (MPV) and peak (PV) velocity measures of the concentric phase were analyzed. Load-velocity relationships were studied by fitting first order equations to the data using loads from 30-100% of 1RM. A comprehensive set of statistics for assessing bias and level of agreement to estimate the 1RM value from the different models was used. Stability of these relationships was assessed using the coefficient of variation (CV) and the intraclass correlation coefficient (ICC). General load-velocity equations provided good adjustments (R ~; 0.91-0.93), however individual load-velocity regressions provided better adjustments (R ~; 0.97). Individual estimations also showed higher agreement and more regular variation than general equations. Moreover, MPV showed smaller bias than the other velocity parameters (MV and PV). The stability analysis of the load-velocity relationships resulted in ICC values higher than 0.82 and CV lower than 3.0%. Monitoring repetition velocity allows estimation of the %1RM in the deadlift exercise. More accurate predictions of relative load can be obtained when using individualized regression equations instead of general equations.
本研究旨在分析硬拉运动中运动速度与相对负荷（%1RM）之间的关系。50 名男性（年龄=23.8±3.6 岁，体重=78.2±8.3kg，身高=1.78±0.06m）进行了第一次评估（T1），包括一次最大重复次数（1RM）测试。42 名受试者在 6 周后进行了第二次评估（T2）。对向心阶段的平均（MV）、平均推进（MPV）和峰值（PV）速度进行了分析。通过使用 1RM 负荷的 30%-100%对数据进行一阶方程拟合，研究了负荷-速度关系。使用了一套全面的统计学方法来评估从不同模型估计 1RM 值的偏差和一致性水平。使用变异系数（CV）和组内相关系数（ICC）评估这些关系的稳定性。综合负荷-速度方程提供了良好的调整（R；0.91-0.93），但个体负荷-速度回归提供了更好的调整（R；0.97）。个体估计也显示出比综合方程更高的一致性和更规则的变化。此外，MPV 比其他速度参数（MV 和 PV）显示出更小的偏差。负荷-速度关系的稳定性分析得出的 ICC 值高于 0.82，CV 值低于 3.0%。监测重复速度可以估计硬拉运动中的%1RM。当使用个体化回归方程而不是综合方程时，可以更准确地预测相对负荷。
