Department of Public Health, Exercise Biology, Aarhus University, Aarhus,Denmark.
Danish Athletic Federation, The House of Sport, Brøndby,Denmark.
Int J Sports Physiol Perform. 2023 Jun 8;18(8):866-873. doi: 10.1123/ijspp.2022-0334. Print 2023 Aug 1.
To investigate the indirect measurement of 1-repetition-maximum (1RM) free-weight half-squat in high-level sprinters using the load-velocity relationship.
Half-squat load and velocity data from 11 elite sprinters were collected in 2 separate testing sessions. Approximately 24 hours prior to the first testing session, sprinters completed a fatiguing high-intensity training session consisting of running intervals, staircase exercises, and body-weight exercises. Prior to the second testing session, sprinters had rested at least 48 hours. Two different prediction models (multiple-point method, 2-point method) were used to estimate 1RM based on the load and either mean or peak concentric velocity data of submaximal lifts (40%-90% 1RM). The criterion validity of all methods was examined through intraclass correlation coefficients, coefficient of variation (CV%), Bland-Altman plots, and the SEM.
None of the estimations were significantly different from the actual 1RM. The multiple-point method showed higher intraclass correlation coefficients (.91 to .97), with CVs from 3.6% to 11.7% and SEMs from 5.4% to 10.6%. The 2-point method showed slightly lower intraclass correlation coefficients (.76 to .95), with CVs 1.4% to 17.5% and SEMs from 9.8% to 26.1%. Bland-Altman plots revealed a mean random bias in estimation of 1RM for both methods (mean and peak velocity) ranging from 1.06 to 13.79 kg.
Velocity-based methods can be used to roughly estimate 1RM in elite sprinters in the rested and fatigued conditions. However, all methods showed variations that limit their applicability for accurate load prescription for individual athletes.
利用负荷-速度关系研究高水平短跑运动员 1 次重复最大重量（1RM）自由重量半蹲的间接测量。
在 2 次单独的测试中收集了 11 名精英短跑运动员的半蹲负荷和速度数据。在第一次测试前约 24 小时，短跑运动员进行了一次疲劳高强度训练，包括跑步间歇、楼梯练习和体重练习。在第二次测试前，短跑运动员至少休息了 48 小时。使用两种不同的预测模型（多点法、两点法），根据负荷和亚最大举重（40%-90%1RM）的平均或峰值向心速度数据来估计 1RM。通过组内相关系数、变异系数（CV%）、Bland-Altman 图和 SEM 检查所有方法的效标效度。
所有估计值与实际 1RM 均无显著差异。多点法的组内相关系数较高（.91 至.97），CV 为 3.6%至 11.7%，SEM 为 5.4%至 10.6%。两点法的组内相关系数略低（.76 至.95），CV 为 1.4%至 17.5%，SEM 为 9.8%至 26.1%。Bland-Altman 图显示，两种方法（平均和峰值速度）的 1RM 估计值的平均随机偏差范围为 1.06 至 13.79kg。
在休息和疲劳状态下，速度法可用于粗略估计精英短跑运动员的 1RM。然而，所有方法的变异性限制了其在为个别运动员准确规定负荷方面的适用性。
