Ghaneh-Ezabadi Saeed, Abdoli-Eramaki Mohammad, Arjmand Navid, Abouhossein Alireza, Zakerian Seyed Abolfazl
PhD Candidate, Department of Occupational Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
PhD, Professor, School of Occupational and Public Health, Ryerson University, Toronto, Canada.
J Biomed Phys Eng. 2022 Aug 1;12(4):417-430. doi: 10.31661/jbpe.v0i0.2203-1474. eCollection 2022 Aug.
Low back pain (LBP) is known as one of the most common work-related musculoskeletal disorders. Spinal cumulative loads () during manual material handling (MMH) tasks are the main risk factors for LBP. However, there is no valid and reliable quantitative lifting analysis tool available for quantifying among Iranian workers performing MMH tasks.
This study aimed to investigate the validity and inter-rater reliability of a posture-matching load assessment tool (PLAT) for estimating the L5-S1 static cumulative compression () and shear () loads based on predictive regression equations.
This experimental study was conducted among six participants performing four lifting tasks, each comprised of five trials during which their posture was recorded via a motion capture (Vicon) and simultaneously a three-camera system located at three different angles (0°, 45°, and 90°) to the sagittal plane.
There were no significant differences between the two estimated by PLAT from the three-camera system and the gold-standard Vicon. In addition, ten raters estimated of the tasks using PLAT in three sessions. The calculated intra-class correlation coefficients for the estimated within each task revealed excellent inter-rater reliability (> 0.75), except for in the first and third tasks, which were good (0.6 to 0.75).
The proposed posture-matching approach provides a valid and reliable ergonomic assessment tool suitable for assessing spinal during various lifting activities.
下背痛（LBP）是最常见的与工作相关的肌肉骨骼疾病之一。手工搬运物料（MMH）任务期间的脊柱累积负荷（）是LBP的主要风险因素。然而，对于执行MMH任务的伊朗工人，没有有效的可靠定量举升分析工具来量化。
本研究旨在基于预测回归方程，调查姿势匹配负荷评估工具（PLAT）在估计L5-S1静态累积压缩（）和剪切（）负荷方面的有效性和评分者间可靠性。
本实验研究在六名参与者中进行，他们执行四项举升任务，每项任务包括五次试验，在此期间通过动作捕捉（Vicon）记录他们的姿势，同时通过位于矢状面三个不同角度（0°、45°和90°）的三摄像头系统记录。
PLAT从三摄像头系统估计的两个之间与金标准Vicon之间没有显著差异。此外，十名评分者在三个阶段使用PLAT估计任务的。计算得出的每项任务估计的组内相关系数显示出极好的评分者间可靠性（>0.75），除了第一项和第三项任务中的，其可靠性良好（0.6至0.75）。
所提出的姿势匹配方法提供了一种有效且可靠的人体工程学评估工具，适用于评估各种举升活动期间的脊柱。
