Porta Micaela, Casu Giulia, Lim Sol, Nussbaum Maury A, Pau Massimiliano
Department of Mechanical, Chemical and Materials Engineering, University of Cagliari, Italy.
Department of Industrial and System Engineering, Virginia Tech, Blacksburg, VA, USA.
Ergonomics. 2025 Mar 5:1-14. doi: 10.1080/00140139.2025.2470235.
Construction is considered amongst the highest risk sectors for the development of work-related musculoskeletal disorders (MSDs) considering the large number of unfavourable environmental and task-specific factors typical in this sector. Thus, it is important to have quantitative tools to support the assessment of the exposure to physical MSD risk factors. We employed wearable inertial sensors (ISs) to perform a real-world characterisation of static postures and repetitive movements involving the trunk and upper arms (UA), among 15 workers during 2 hours of their regular shifts. IS data were processed according to ISO 11226 and EN 1005-4 standards. We found that workers spent ∼25% of the monitored time in static trunk flexion >20% and more than 50% of the time with UA elevations >20°. The ability to assess working postures for prolonged periods may represent a useful tool for different stakeholders involved in the protection of construction worker health.
考虑到建筑行业存在大量不利的环境和特定任务因素,该行业被认为是与工作相关的肌肉骨骼疾病(MSD)发展的高风险行业之一。因此,拥有定量工具来支持对物理MSD风险因素的暴露评估非常重要。我们使用可穿戴惯性传感器(IS)对15名工人在正常轮班的2小时内涉及躯干和上臂(UA)的静态姿势和重复动作进行了实际表征。IS数据根据ISO 11226和EN 105-4标准进行处理。我们发现,工人在静态躯干屈曲>20%的情况下花费了约25%的监测时间,在UA抬高>20°的情况下花费了超过50%的时间。长时间评估工作姿势的能力可能是参与保护建筑工人健康的不同利益相关者的有用工具。