Department of Industrial Engineering, Keimyung University, Daegu 42601, Korea.
Int J Environ Res Public Health. 2022 Mar 26;19(7):3967. doi: 10.3390/ijerph19073967.
Various observational methods have been developed and applied in industrial settings with the aim of preventing musculoskeletal disorders (MSDs). This study aimed to compare the Rapid Upper Limb Assessment (RULA), a representative observational method, and the Loading on the Entire Body Assessment (LEBA), a newly developed tool for assessing postural loads and their association with MSDs. The two methods were compared in various categories, including general characteristics, risk levels, postural load criteria, association with MSDs, influencing factors, and inter- and intra-rater reliabilities based on relevant previous studies. The results showed that compared to the RULA, the LEBA was better at evaluating various factors affecting postural loads and assessing musculoskeletal loadings, was better correlated with various postural load criteria, could predict the association with MSDs more accurately, and had higher inter- and intra-rater reliabilities. Based on these comparisons, it seems that the LEBA may be better than the RULA for estimating postural stress and predicting the association with MSDs.
各种观察方法已经在工业环境中得到开发和应用，旨在预防肌肉骨骼疾病（MSD）。本研究旨在比较代表性的观察方法 Rapid Upper Limb Assessment（RULA）和新开发的用于评估姿势负荷及其与 MSD 关联的工具 Loading on the Entire Body Assessment（LEBA）。根据相关的先前研究，在一般特征、风险水平、姿势负荷标准、与 MSD 的关联、影响因素以及组内和组间可靠性等各个方面对这两种方法进行了比较。结果表明，与 RULA 相比，LEBA 更擅长评估影响姿势负荷的各种因素和评估肌肉骨骼负荷，与各种姿势负荷标准的相关性更好，能够更准确地预测与 MSD 的关联，并且具有更高的组内和组间可靠性。基于这些比较，LEBA 似乎比 RULA 更适合估计姿势压力和预测与 MSD 的关联。
