School of Physical and Health Education, Schulich School of Education, Nipissing University, 100 College Drive, Box 5002, North Bay, ON, Canada P1B 8L7; Biomechanics and Ergonomics Laboratory, School of Kinesiology and Health Studies, Queen׳s University, 28 Division Street, Kingston, ON, Canada K7L 3N6.
Biomechanics and Ergonomics Laboratory, School of Kinesiology and Health Studies, Queen׳s University, 28 Division Street, Kingston, ON, Canada K7L 3N6.
J Biomech. 2014 Apr 11;47(6):1459-64. doi: 10.1016/j.jbiomech.2014.01.033. Epub 2014 Jan 30.
The local dynamic stability of trunk movements, quantified using the maximum Lyapunov exponent (λmax), can provide important information on the neuromuscular control of spine stability during movement tasks. Although previous research has displayed the promise of this technique, all studies were completed with healthy participants. Therefore the goal of this study was to compare the dynamic stability of spine kinematics and trunk muscle activations, as well as antagonistic muscle co-contraction, between athletes with and without low back pain (LBP). Twenty interuniversity varsity athletes (10 LBP, 10 healthy controls) were recruited to participate in the study. Each participant completed a repetitive trunk flexion task at 15 cycles per minute, both symmetrically and asymmetrically, while trunk kinematics and muscular activity (EMG) were monitored. The local dynamic stability of low back EMG was significantly higher (lower λmax) in healthy individuals (p=0.002), whereas the dynamic stability of kinematics, the dynamic stability of full trunk system EMG, and the amount of antagonistic co-contraction were significantly higher when moving asymmetrically (p<0.05 for all variables). Although non-significant, kinematic and trunk system EMG stability also tended to be impaired in LBP participants, whereas they also tended to co-contract their antagonist muscles more. This study provides evidence that Lyapunov analyses of kinematic and muscle activation data can provide insight into the neuromuscular control of spine stability in back pain participants. Future research will repeat these protocols in patients with higher levels of pain, with hopes of developing a tool to assess impairment and treatment effectiveness in clinical and workplace settings.
躯干运动的局部动态稳定性,通过最大 Lyapunov 指数 (λmax) 来量化,可以提供有关运动任务中脊柱稳定性的神经肌肉控制的重要信息。尽管先前的研究显示了这项技术的前景,但所有研究都是在健康参与者中完成的。因此,本研究的目的是比较有和无下腰痛 (LBP) 的运动员之间脊柱运动学和躯干肌肉活动以及拮抗肌共同收缩的动态稳定性。招募了 20 名大学间校际运动员(10 名有 LBP,10 名健康对照组)参与研究。每个参与者以 15 次/分钟的速度完成重复的躯干屈曲任务,既对称地又不对称地完成,同时监测躯干运动学和肌肉活动(EMG)。健康个体的下腰痛 EMG 的局部动态稳定性显著更高(更低的 λmax)(p=0.002),而不对称运动时,运动学的动态稳定性、整个躯干系统的 EMG 动态稳定性和拮抗肌共同收缩的程度更高(所有变量的 p<0.05)。尽管没有统计学意义,但 LBP 参与者的运动学和躯干系统 EMG 稳定性也趋于受损,而他们也倾向于更多地共同收缩拮抗肌。这项研究提供了证据,表明对运动学和肌肉激活数据的 Lyapunov 分析可以深入了解腰痛参与者脊柱稳定性的神经肌肉控制。未来的研究将在疼痛程度更高的患者中重复这些方案,希望开发一种工具来评估临床和工作场所环境中的损伤和治疗效果。