Faculty of Medicine, Université Laval, Quebec City, Canada.
Centre for Interdisciplinary Research in Rehabilitation and Social Integration, Quebec City, Canada.
PLoS One. 2021 Apr 8;16(4):e0249403. doi: 10.1371/journal.pone.0249403. eCollection 2021.
Efficient shoulder movement depends on the ability of central nervous system to integrate sensory information and to create an appropriate motor command. Various daily encountered factors can potentially compromise the execution of the command, such as fatigue. This study explored how fatigue influences shoulder movements during upper limb reaching.
Forty healthy participants were randomly assigned to one of two groups: Control or Fatigue Group. All participants completed an upper limb reaching task at baseline and post-experimental, during which they reached four targets located at 90° of shoulder abduction, 90° external rotation at 90° abduction, 120° scaption, and 120° flexion in a virtual reality environment. Following the baseline phase, the Fatigue Group completed a shoulder fatigue protocol, while Controls took a 10-minute break. Thereafter, the reaching task was repeated. Upper limb kinematic (joint angles and excursions) and spatiotemporal (speed and accuracy) data were collected during the reaching task. Electromyographic activity of the anterior and middle deltoids were also collected to characterize fatigue. Two-way repeated-measures ANOVA were performed to determine the effects of Time, Group and of the interaction between these factors.
The Fatigue group showed decreased mean median power frequency and increased electromyographic amplitudes of the anterior deltoid (p < 0.05) following the fatigue protocol. Less glenohumeral elevation, increased trunk flexion and rotation and sternoclavicular elevation were also observed in the Fatigue group (Group x Time interaction, p < 0.05). The Control group improved their movement speed and accuracy in post-experimental phase, while the Fatigue group showed a decrease of movement speed and no accuracy improvement (Group x Time interaction, p < 0.05).
In a fatigued state, changes in movement strategy were observed during the reaching task, including increased trunk and sternoclavicular movements and less glenohumeral movement. Performance was altered as shown by the lack of accuracy improvement over time and a decrease in movement speed in the Fatigue group.
高效的肩部运动依赖于中枢神经系统整合感觉信息并产生适当运动指令的能力。各种日常遇到的因素都可能影响指令的执行,例如疲劳。本研究探讨了疲劳如何影响上肢伸展过程中的肩部运动。
40 名健康参与者被随机分配到对照组或疲劳组。所有参与者在基线和实验后阶段完成了一项上肢伸展任务,在此期间,他们在虚拟现实环境中到达 4 个目标,分别位于肩关节外展 90°、外展 90°外旋 90°、120°上举和 120°屈曲。在基线阶段后,疲劳组完成了一项肩部疲劳方案,而对照组则休息 10 分钟。之后,重复进行伸展任务。在伸展任务过程中收集上肢运动学(关节角度和运动幅度)和时空(速度和准确性)数据。还收集了前三角肌和中三角肌的肌电图活动,以表征疲劳。采用双因素重复测量方差分析来确定时间、组和这些因素之间相互作用的影响。
疲劳方案后,疲劳组的前三角肌平均中位功率频率降低,肌电图幅度增加(p < 0.05)。在疲劳组中还观察到肩肱关节抬高减少,躯干前屈和旋转以及胸锁关节抬高增加(组间时间交互作用,p < 0.05)。对照组在实验后阶段提高了运动速度和准确性,而疲劳组的运动速度下降且准确性没有提高(组间时间交互作用,p < 0.05)。
在疲劳状态下,伸展任务中观察到运动策略发生变化,包括躯干和胸锁关节运动增加,肩肱关节运动减少。疲劳组的运动速度没有改善且运动速度下降,表明运动表现发生了改变。