Department of Mechanical Engineering, Aligarh Muslim University, Aligarh, India.
Int J Occup Saf Ergon. 2023 Sep;29(3):1016-1024. doi: 10.1080/10803548.2022.2095131. Epub 2022 Aug 4.
Manual materials handling (MMH) and lifting activities have been identified as risk factors for lower back pain (LBP). Of the many tools available to analyse and design lifting tasks, the revised NIOSH lifting equation (RNLE) is perhaps the most widely used. However, the equation is based on data primarily from the West. To make the model universally applicable, the effect of worker characteristics like age, gender, weight and anthropometry on maximum acceptable weight limits (MAWLs) was studied. A psychophysical methodology was adopted to arrive at the MAWLs. In total, 58 industrial workers (30 men and 28 women) participated in the study. Based on the observations of the study, an equation was developed that would allow the RNLE load constant to be modified for different populations based on simple anthropometric data. The load constant for the Indian population was found to be comparable to the RNLE recommendations.
手动搬运物料(MMH)和举升活动已被确定为导致下背痛(LBP)的危险因素。在可用于分析和设计举升任务的众多工具中,修订后的 NIOSH 举升方程(RNLE)也许是应用最广泛的。然而,该方程的数据主要来自西方。为了使该模型具有普遍适用性,研究了工人特征(如年龄、性别、体重和人体测量学)对最大允许重量限制(MAWL)的影响。采用心理物理学方法得出 MAWL。共有 58 名工业工人(30 名男性和 28 名女性)参加了这项研究。根据研究观察,开发了一个方程,该方程允许根据简单的人体测量学数据,针对不同人群修改 RNLE 负荷常数。发现印度人口的负荷常数与 RNLE 的建议相当。