Department for Life Quality Studies, University of Bologna, Bologna, Italy.
Department of Medicine and Surgery, University of Enna "Kore", Enna, Italy.
J Sports Sci. 2024 Dec;42(23):2254-2259. doi: 10.1080/02640414.2024.2430855. Epub 2024 Nov 18.
The aim of the present study was to develop prediction equations for the one repetition maximum (1RM) Bench Press (BP) in resistance-trained men based on muscle thickness and simple anthropometric parameters. 83 men (age: 26.2 ± 4.9y, height: 175.9 ± 6.3 cm, body mass: 82.9 ± 11.2 kg) participated in the present investigation and were assessed for anthropometric measurements and for muscle thickness of pectoral major (MTP). Then, the participants performed the 1RM BP test. A very large correlation was detected between MTP and 1RM BP ( = 0.83-0.88). A prediction equation based on MTP and body mass (EQ1) was developed: 1RM BP = -15.2460565 + (32.0751388 * MTP) + (0.6364405 * Body Weight) with R = 0.79. Another prediction equation was developed using MTP only (EQ2): 1RM BP = 20.36167 + (39.36532 * MTP) with R = 0.69. Bland-Altman analysis and paired sample t test provided insufficient evidence to support differences between the predicted and the measured 1RM BP in both the equations ( > 0.05). This study showed that both MTP based (EQ2) and MTP and body mass based (EQ1) methods can be used to predict 1RM BP and may represent important tools for the evaluation of maximal strength. These findings support the potential use of non-performance-based parameters to predict maximal dynamic strength in trained individuals.
本研究旨在为经过阻力训练的男性开发基于肌肉厚度和简单人体测量参数的 1 次重复最大(1RM)卧推(BP)预测方程。83 名男性(年龄:26.2±4.9 岁,身高:175.9±6.3cm,体重:82.9±11.2kg)参与了本研究,对其进行了人体测量和胸大肌(MTP)的肌肉厚度评估。然后,参与者进行了 1RM BP 测试。MTP 与 1RM BP 之间存在非常大的相关性(r=0.83-0.88)。根据 MTP 和体重开发了一个预测方程(EQ1):1RM BP=-15.2460565+(32.0751388MTP)+(0.6364405体重),R=0.79。另一个仅使用 MTP 开发的预测方程(EQ2):1RM BP=20.36167+(39.36532*MTP),R=0.69。Bland-Altman 分析和配对样本 t 检验均未能提供证据支持两个方程中预测的 1RM BP 与实测的 1RM BP 之间存在差异(>0.05)。本研究表明,基于 MTP 的方法(EQ2)和基于 MTP 和体重的方法(EQ1)均可用于预测 1RM BP,可能是评估最大力量的重要工具。这些发现支持使用非基于表现的参数来预测训练有素的个体的最大动态力量的潜力。