Human Performance Laboratory, Department of Health and Physical Education, The Hong Kong Institute of Education , Hong Kong.
J Sports Sci Med. 2013 Mar 1;12(1):38-43. eCollection 2013.
This study investigated whether loads for assistance exercises of the upper body can be predicted from the loads of the bench press exercise. Twenty-nine physically active collegiate students (age: 22.6 ± 2.5; weight training experience: 2.9 ± 2.1 years; estimated 1RM bench press: 54.31 ± 14.60 kg; 1RM: body weight ratio: 0.80 ± 0.22; BMI: 22.7 ± 2.1 kg·m(-2)) were recruited. The 6RM loads for bench press, barbell bicep curl, overhead dumbbell triceps extension, hammer curl and dumbbell shoulder press were measured. Test-retest reliability for the 5 exercises as determined by Pearson product moment correlation coefficient was very high to nearly perfect (0.82-0.98, p < 0.01). The bench press load was significantly correlated with the loads of the 4 assistance exercises (r ranged from 0.80 to 0.93, p < 0.01). Linear regression revealed that the bench press load was a significant (R(2) range from 0.64 to 0.86, p < 0.01) predictor for the loads of the 4 assistance exercises. The following 6RM prediction equations were determined: (a) Hammer curl = Bench press load (0.28) + 6.30 kg, (b) Barbell biceps curl = Bench press load (0.33) + 6.20 kg, (c) Overhead triceps extension = Bench press load (0.33) - 0.60 kg, and (d) Dumbbell shoulder press = Bench press load (0.42) + 5.84 kg. The difference between the actual load and the predicted load using the four equations ranged between 6.52% and 8.54%, such difference was not significant. Fitness professionals can use the 6RM bench press load as a time effective and accurate method to predict training loads for upper body assistance exercises. Key pointsThe bench press load was significantly correlated with the loads of the 4 assistance exercises.No significant differences were found between the actual load and the predicted load in the four equations.6RM bench press load can be a time effective and accurate method to predict training loads for upper body assistance exercises.
这项研究旨在探讨是否可以根据卧推练习的负荷来预测上半身辅助练习的负荷。29 名身体活跃的大学生(年龄:22.6±2.5;举重经验:2.9±2.1 年;估计 1RM 卧推:54.31±14.60 公斤;1RM:体重比:0.80±0.22;BMI:22.7±2.1kg·m(-2))被招募。测量了 6RM 卧推、杠铃二头肌弯举、头顶哑铃三头肌伸展、哑铃锤式弯举和哑铃肩推的负荷。通过皮尔逊积差相关系数,5 项运动的测试-重测可靠性非常高,接近完美(0.82-0.98,p<0.01)。卧推负荷与 4 项辅助运动的负荷显著相关(r 范围为 0.80 至 0.93,p<0.01)。线性回归显示,卧推负荷是 4 项辅助运动负荷的显著(R(2)范围为 0.64 至 0.86,p<0.01)预测因素。确定了以下 6RM 预测方程:(a) 哑铃锤式弯举=卧推负荷(0.28)+6.30 公斤,(b) 杠铃二头肌弯举=卧推负荷(0.33)+6.20 公斤,(c) 头顶三头肌伸展=卧推负荷(0.33)-0.60 公斤,和(d) 哑铃肩推=卧推负荷(0.42)+5.84 公斤。使用这四个方程实际负荷和预测负荷之间的差异在 6.52%至 8.54%之间,差异无统计学意义。健身专业人员可以使用 6RM 卧推负荷作为一种有效且准确的方法来预测上半身辅助练习的训练负荷。关键点卧推负荷与 4 项辅助运动的负荷显著相关。在四个方程中,实际负荷和预测负荷之间没有发现显著差异。6RM 卧推负荷可以作为一种有效且准确的方法来预测上半身辅助运动的训练负荷。