Abstract:
Chronic spinal pain (CSP) is a prevalent condition, and prolonged sitting at work can contribute to it. Ergonomic factors like this can cause changes in motor variability. Variability analysis is a useful method to measure changes in motor performance over time. When performing the same task multiple times, different performance patterns can be observed. This variability is intrinsic to all biological systems and is noticeable in human movement. This study aims to examine whether changes in movement variability and complexity during real-time office work are influenced by CSP. The hypothesis is that individuals with and without pain will have different responses to office work tasks. Six office workers without pain and ten with CSP participated in this study. Participant\'s trunk movements were recorded during work for an entire week. Linear and nonlinear measures of trunk kinematic displacement were used to assess movement variability and complexity. A mixed ANOVA was utilized to compare changes in movement variability and complexity between the two groups. The effects indicate that pain-free participants showed more complex and less predictable trunk movements with a lower degree of structure and variability when compared to the participants suffering from CSP. The differences were particularly noticeable in fine movements.
摘要:
慢性脊柱疼痛(CSP)是一种普遍的疾病,长时间坐着工作可能会导致这种情况。像这样的人体工程学因素会导致运动变异性的变化。变异性分析是测量电机性能随时间变化的有用方法。当多次执行同一任务时,可以观察到不同的性能模式。这种可变性是所有生物系统固有的,并且在人类运动中很明显。这项研究旨在研究CSP是否会影响实时办公室工作中的运动变异性和复杂性。假设是,有疼痛和没有疼痛的个体对办公室工作任务的反应不同。六名没有疼痛的办公室工作人员和十名患有CSP的办公室工作人员参加了这项研究。参与者的躯干运动在工作期间记录了整整一周。躯干运动学位移的线性和非线性度量用于评估运动变异性和复杂性。混合方差分析用于比较两组之间运动变异性和复杂性的变化。效果表明,与患有CSP的参与者相比,无痛参与者表现出更复杂,更不可预测的躯干运动,结构和变异性程度较低。差异在精细运动中尤为明显。