a Department of Physical Education and Sport, Faculty of Sport Sciences, University of Granada , Granada , Spain.
b Department of Sports Sciences and Physical Conditioning, Faculty of Education, CIEDE, Catholic University of Most Holy Concepción , Concepción , Chile.
J Sports Sci. 2019 Oct;37(19):2205-2212. doi: 10.1080/02640414.2019.1626071. Epub 2019 Jun 4.
This study examined the reliability and validity of three methods of estimating the one-repetition maximum (1RM) during the free-weight prone bench pull exercise. Twenty-six men (22 rowers and four weightlifters) performed an incremental loading test until reaching their 1RM, followed by a set of repetitions-to-failure. Eighteen participants were re-tested to conduct the reliability analysis. The 1RM was estimated through the lifts-to-failure equations proposed by Lombardi and O'Connor, general load-velocity (L-V) relationships proposed by Sánchez-Medina and Loturco and the individual L-V relationships modelled using four (multiple-point method) or only two loads (two-point method). The direct method provided the highest reliability (coefficient of variation [CV] = 2.45% and intraclass correlation coefficient [ICC] = 0.97), followed by the Lombardi's equation (CV = 3.44% and ICC = 0.94), and no meaningful differences were observed between the remaining methods (CV range = 4.95-6.89% and ICC range = 0.81-0.91). The lifts-to-failure equations overestimated the 1RM (3.43-4.08%), the general L-V relationship proposed by Sánchez-Medina underestimated the 1RM (-3.77%), and no significant differences were observed for the remaining prediction methods (-0.40-0.86%). The individual L-V relationship could be recommended as the most accurate method for predicting the 1RM during the free-weight prone bench pull exercise.
本研究旨在检验三种方法在自由重量俯姿卧推中估算 1 次重复最大重量(1RM)的可靠性和有效性。26 名男性(22 名赛艇运动员和 4 名举重运动员)进行了递增负荷测试,直至达到 1RM,随后进行一组力竭重复。18 名参与者进行了重新测试以进行可靠性分析。1RM 通过 Lombardi 和 O'Connor 提出的力竭提升方程、Sánchez-Medina 和 Loturco 提出的一般负荷-速度(L-V)关系以及使用四个(多点法)或仅两个负荷(两点法)建模的个体 L-V 关系来估计。直接方法提供了最高的可靠性(变异系数 [CV] = 2.45%,组内相关系数 [ICC] = 0.97),其次是 Lombardi 方程(CV = 3.44%,ICC = 0.94),并且观察到其余方法之间没有明显差异(CV 范围为 4.95-6.89%,ICC 范围为 0.81-0.91)。力竭提升方程高估了 1RM(3.43-4.08%),Sánchez-Medina 提出的一般 L-V 关系低估了 1RM(-3.77%),而其余预测方法没有观察到显著差异(-0.40-0.86%)。个体 L-V 关系可以作为预测自由重量俯姿卧推中 1RM 的最准确方法。