Kravitz Len, Akalan Cengiz, Nowicki Kenneth, Kinzey Stephen J
Exercise Physiology Laboratories, University of New Mexico, Johnson Center #1160, Albuquerque, New Mexico 87111, USA.
J Strength Cond Res. 2003 Feb;17(1):167-72. doi: 10.1519/1533-4287(2003)017<0167:pormih>2.0.co;2.
Eighteen elite male power lifters performed 1-repetition maximum (1RM) and submaximal strength tests (70, 80, and 90% 1RM) to develop prediction equations for the squat (SQ), bench press (BP), and deadlift (DL) exercises. For each equation, stepwise multiple-regression prediction procedure included the maximum number of repetitions (REPS) completed at a given %1RM weight (REPWT). For SQ and BP the 70% 1RM yielded the best 1RM prediction equations: (1RM SQ [kg]) = 159.9 + (0.103 x REPS x REPWT) + (-11.552 x REPS), with a standard error of the estimate (SEE) of 5.06 kg; (1RM BP [kg]) = 90.66 + (0.085 x REPS x REPWT) + (-5.306 x REPS), with an SEE of 2.69 kg. For DL the 80% 1RM yielded the best prediction equation: (1RM DL [kg]) = 156.08 + (0.098 x REPS x REPWT) + (-12.106 x REPS), with an SEE of 4.97 kg. The athlete's years lifted (number of years of power lifting experience) was highly correlated with the 1RM strength for BP and DL (r > 0.70) but not for SQ (r < 0.70). No bodily structural dimension variable had a significant correlation with 1RM strength (r < 0.70). The results of this study indicate that 1RM SQ, BP, and DL may be predicted with an acceptable degree of accuracy in elite male high-school power lifter subjects.
18名精英男性力量举运动员进行了1次最大重复量（1RM）和次最大力量测试（70%、80%和90% 1RM），以建立深蹲（SQ）、卧推（BP）和硬拉（DL）练习的预测方程。对于每个方程，逐步多元回归预测程序包括在给定的%1RM重量（REPWT）下完成的最大重复次数（REPS）。对于SQ和BP，70% 1RM产生了最佳的1RM预测方程：（1RM SQ [kg]）= 159.9 +（0.103×REPS×REPWT）+（-11.552×REPS），估计标准误差（SEE）为5.06 kg；（1RM BP [kg]）= 90.66 +（0.085×REPS×REPWT）+（-5.306×REPS），SEE为2.69 kg。对于DL，80% 1RM产生了最佳预测方程：（1RM DL [kg]）= 156.08 +（0.098×REPS×REPWT）+（-12.106×REPS），SEE为4.97 kg。运动员的举重年限（力量举经验年限）与BP和DL的1RM力量高度相关（r > 0.70），但与SQ不相关（r < 0.70）。没有身体结构维度变量与1RM力量有显著相关性（r < 0.70）。本研究结果表明，在精英男性高中力量举运动员受试者中，可以以可接受的准确度预测1RM SQ、BP和DL。
