Norwood Jeff T, Anderson Gregory S, Gaetz Michael B, Twist Peter W
University College of the Fraser Valley, Abbotsford, British Columbia, Canada.
J Strength Cond Res. 2007 May;21(2):343-7. doi: 10.1519/R-17435.1.
The purpose of this study was to investigate the effectiveness of instability training in the recruitment of core stabilizing muscles during dynamic multijoint movement. Surface electromyography (EMG) was measured from 6 muscles (latissimus dorsi, rectus abdominus, internal obliques, erector spinae, and soleus) while subjects performed a 9.1-kg bench press on stable and unstable surfaces. There were 4 exercises in total: (a) stable surfaces for shoulders and feet, (b) upper-body instability, (c) lower-body instability, and (d) dual instability. Five seconds of EMG were recorded during each bench press and were subsequently smoothed with root mean squares calculated for the entire time-series. A repeated-measures analysis of variance (ANOVA) was used to test overall differences between exercise conditions for each muscle. Paired equal variance t-tests with a stepwise Bonferroni correction for multiple contrasts (alpha = 0.05/total number of contrasts) were performed for muscles with significant repeated-measures ANOVA results. The results show significant increases in EMG with increasing instability. Specifically, the dual instability bench press resulted in the greatest mean muscle activation of the 3 stability conditions, with single instability conditions being significantly greater than the stable condition. This pattern of results is consistent with the position that performing the bench press in a progressively unstable environment may be an effective method to increase activation of the core stabilizing musculature, while the upper- and lower-body stabilizers can be activated differentially depending on the mode of instability.
本研究的目的是调查在动态多关节运动中不稳定训练对募集核心稳定肌的有效性。在受试者于稳定和不稳定表面进行9.1千克卧推时,测量了6块肌肉(背阔肌、腹直肌、腹内斜肌、竖脊肌和比目鱼肌)的表面肌电图(EMG)。总共有4种练习:(a)肩部和脚部在稳定表面,(b)上半身不稳定,(c)下半身不稳定,以及(d)双重不稳定。在每次卧推过程中记录5秒的EMG,随后用针对整个时间序列计算的均方根进行平滑处理。使用重复测量方差分析(ANOVA)来测试每种肌肉在不同练习条件之间的总体差异。对于具有显著重复测量方差分析结果的肌肉,进行配对等方差t检验,并采用逐步Bonferroni校正进行多重对比(α = 0.05/对比总数)。结果显示,随着不稳定性增加,EMG显著增加。具体而言,双重不稳定卧推在3种稳定条件下导致最大的平均肌肉激活,单一不稳定条件显著大于稳定条件。这种结果模式与以下观点一致:在逐渐不稳定的环境中进行卧推可能是增加核心稳定肌肉组织激活的有效方法,而上半身和下半身稳定肌可以根据不稳定模式进行不同程度的激活。