Porta Micaela, Casu Giulia, Fastame Maria Chiara, Nussbaum Maury A, Pau Massimiliano
Department of Mechanical, Chemical and Materials Engineering, University of Cagliari, Italy.
Department of Mechanical, Chemical and Materials Engineering, University of Cagliari, Italy.
Appl Ergon. 2025 May;125:104462. doi: 10.1016/j.apergo.2024.104462. Epub 2024 Dec 29.
Order picking tasks require repetitive trunk and upper arms movements that may increase the risk of developing musculoskeletal disorders, particularly among older workers due to the decline of their physical capabilities with aging. We proposed an approach based on a limited number of wearable inertial sensors to assessed exposures to non-neutral trunk and upper arms postures among both older and young workers during their regular work-shifts. The obtained data were processed accordingly to international standards (ISO 11226 and EN 1005-4) to detect the existence of possible differences associated with age-specific working strategies. While the results indicate similar trunk and upper arms movement frequencies in both groups, older workers spend a significantly smaller percentage of time in the most demanding (>60°) postures for both districts. Such findings suggest the adoption of specific strategies to reduce the biomechanical risk which might be originated by a combination of awareness of physical limits and superior working experience. In this context, the instrumental monitoring of upper body in the logistic sector may result useful to highlight critical conditions potentially able to promote the onset of musculoskeletal disorders, thus supporting the decision processes pertaining to workers' health management and aging worker retainment.
订单拣选任务需要躯干和上臂进行重复性运动,这可能会增加患肌肉骨骼疾病的风险,尤其是在老年工人中,因为随着年龄增长他们的身体能力会下降。我们提出了一种基于有限数量可穿戴惯性传感器的方法,以评估老年和年轻工人在正常工作班次期间非中立躯干和上臂姿势的暴露情况。根据国际标准(ISO 11226和EN 1005-4)对获得的数据进行处理,以检测与特定年龄工作策略相关的可能差异的存在。虽然结果表明两组的躯干和上臂运动频率相似,但老年工人在两个区域最费力(>60°)姿势下花费的时间百分比明显较小。这些发现表明应采取特定策略来降低可能由身体极限意识和卓越工作经验共同导致的生物力学风险。在这种情况下,对物流部门上身进行仪器监测可能有助于突出可能引发肌肉骨骼疾病的关键状况,从而支持与工人健康管理和老年工人留用相关的决策过程。