Centre for Musculoskeletal Research, Department of Occupational Health Sciences and Psychology, Faculty of Health and Occupational Studies, University of Gävle, Gävle, Sweden.
Department of Industrial and Systems Engineering, Virginia Tech, Blacksburg, VA, USA.
Appl Ergon. 2020 May;85:103046. doi: 10.1016/j.apergo.2020.103046. Epub 2020 Jan 21.
Research suggests an association between motor variability (MV) during repetitive work and work-related musculoskeletal disorders (MSDs). However, whether MV is a consistent individual trait, even across working conditions or tasks, remains unknown. This study assessed whether individual MV traits were consistent during complex work performed under different temporal conditions. Fifteen women performed cyclic assembly under four conditions differing in pace and organisation (line-type, batch-type). MV of trapezius muscle activity and upper arm elevation was quantified and partitioned into variance components. For all MV metrics, a non-zero between-subjects variance was found, indicating consistent individual MV traits across conditions. Variance between subjects was higher for electromyography (EMG) MV metrics compared with kinematic metrics. Our results showed individuals exhibited consistent MV traits across working conditions differing in pace and production process. Further research is needed to understand whether MV is an individual predictive factor for MSD onset or progression.
研究表明,在重复性工作中,运动变化(MV)与与工作相关的肌肉骨骼疾病(MSD)之间存在关联。然而,MV 是否是一种一致的个体特征,即使在不同的工作条件或任务下,仍不清楚。本研究评估了在不同时间条件下进行复杂工作时,个体 MV 特征是否一致。15 名女性在四种不同节奏和组织方式(流水线型、批量型)的条件下进行周期性装配。定量分析了斜方肌活动和上臂抬高的 MV,并将其划分为方差分量。对于所有 MV 指标,均发现了非零的受试者间方差,表明在不同条件下存在一致的个体 MV 特征。与运动学指标相比,肌电图(EMG)MV 指标的受试者间方差更高。我们的结果表明,个体在节奏和生产过程不同的工作条件下表现出一致的 MV 特征。需要进一步研究以了解 MV 是否是 MSD 发作或进展的个体预测因素。