Centre for Sport Science and University Sport, University of Vienna, Vienna, Austria.
PLoS One. 2022 May 5;17(5):e0268074. doi: 10.1371/journal.pone.0268074. eCollection 2022.
The present study was designed to evaluate the test-retest consistency of repetition maximum tests at standardized relative loads and determine the robustness of strength-endurance profiles across test-retest trials. Twenty-four resistance-trained males and females (age, 27.4 ± 4.0 y; body mass, 77.2 ± 12.6 kg; relative bench press one-repetition maximum [1-RM], 1.19 ± 0.23 kg•kg-1) were assessed for their 1-RM in the free-weight bench press. After 48 to 72 hours, they were tested for the maximum number of achievable repetitions at 90%, 80% and 70% of their 1-RM. A retest was completed for all assessments one week later. Gathered data were used to model the relationship between relative load and repetitions to failure with respect to individual trends using Bayesian multilevel modeling and applying four recently proposed model types. The maximum number of repetitions showed slightly better reliability at lower relative loads (ICC at 70% 1-RM = 0.86, 90% highest density interval: [0.71, 0.93]) compared to higher relative loads (ICC at 90% 1-RM = 0.65 [0.39, 0.83]), whereas the absolute agreement was slightly better at higher loads (SEM at 90% 1-RM = 0.7 repetitions [0.5, 0.9]; SEM at 70% 1-RM = 1.1 repetitions [0.8, 1.4]). The linear regression model and the 2-parameters exponential regression model revealed the most robust parameter estimates across test-retest trials. Results testify to good reproducibility of repetition maximum tests at standardized relative loads obtained over short periods of time. A complementary free-to-use web application was developed to help practitioners calculate strength-endurance profiles and build individual repetition maximum tables based on robust statistical models.
本研究旨在评估标准化相对负荷下重复最大测试的重测一致性，并确定强度耐力曲线在重测试验中的稳健性。24 名经过阻力训练的男性和女性（年龄 27.4 ± 4.0 岁；体重 77.2 ± 12.6 公斤；自由重量卧推 1 次重复最大值 [1-RM] 1.19 ± 0.23 公斤·公斤-1）进行了 1-RM 卧推测试。48 至 72 小时后，他们以 90%、80%和 70%的 1-RM 进行了最大可实现重复次数的测试。一周后，所有评估都进行了复测。收集的数据用于使用贝叶斯多层次建模和应用最近提出的四种模型类型，针对个体趋势，对相对负荷和失败重复次数之间的关系进行建模。与较高的相对负荷相比（90% 1-RM 的 ICC = 0.65 [0.39, 0.83]），较低的相对负荷（70% 1-RM 的 ICC = 0.86，90%最高密度区间：[0.71, 0.93]）的最大重复次数显示出稍好的可靠性，而较高的负荷下的绝对一致性稍好（90% 1-RM 的 SEM = 0.7 次重复 [0.5, 0.9]；70% 1-RM 的 SEM = 1.1 次重复 [0.8, 1.4]）。线性回归模型和 2 参数指数回归模型在重测试验中揭示了最稳健的参数估计值。结果证明，在短时间内获得的标准化相对负荷下的重复最大测试具有良好的可重复性。开发了一个免费的网络应用程序，以帮助从业者根据稳健的统计模型计算强度耐力曲线并构建个人重复最大表。
