A Comparative Study of Different Unorganized Sectors’ Workers in India to Identify Musculoskeletal Disorder Prevalence Through Empirical Survey and Deep Learning Methods

Q3 Engineering
Arvind Meena, Rahul Jain, Anant Kumar Yadav, Vikram Kumar, Abhishek Meena, Kunj Bihari Rana, Makkhan Lal Meena, Manish Kumar Jindal
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Abstract

Musculoskeletal disorders (MSDs) are a group of non-fatal injuries that can occur as a result of various repetitive workplace activities, mainly in unorganized sectors. Workers who engage in highly repetitive activities involving constant hand effort, localized mechanical pressure, and vibration are more prone to developing these disorders. The objective of this research was to determine the prevalence of MSDs among workers in various unorganized sectors in India who perform hand-intensive occupations. The purpose of current research was to determine the MSD prevalence among workers in various unorganized sectors of India, who perform a severe hand–intensive occupations. A cross-sectional study was conducted, involving 340 workers from diverse groups such as sugarcane farmers, footwear industry workers, and tarpaulin weavers, to accomplish this goal. Data for the survey was collected using a questionnaire. Additionally, a comprehensive time study and a deep learning-based posture detection study were conducted on the different activities performed during the workers' occupational tasks. The chi-square test was used to assess the relationship between discomfort and work repetitiveness. The data analysis revealed that the working activities (especially cutting/harvesting, rubber cutting, etc.) of unorganized sector workers were repetitive, with more than half of each activity’s work cycle involving a similar usage pattern. Furthermore, a significant association was observed between the level of discomfort and work repetitiveness among workers in different sectors (sugarcane farmers: p <0.01, footwear industry workers: p < 0.05, tarpaulin weavers: p < 0.05). Consequently, it can be concluded that prolonged occupational activities involving repetitive and prolonged standing may contribute to the occurrence of MSDs. As per the data analysis, all activities were repetitive with over half of each activity's work cycle involving a similar usage pattern. As a result, it can be stated that prolonged occupational activity in repetitive and prolonged standing mode may be considered contributory factors in the MSDs occurrence. Ergonomic interventions/modifications in the form of patent work will be necessary to prevent these issues in the near future.
印度不同无组织部门工人的比较研究,通过经验调查和深度学习方法识别肌肉骨骼疾病的流行情况
肌肉骨骼疾病(MSDs)是一组非致命性伤害,可因各种重复性工作场所活动而发生,主要发生在无组织部门。从事高度重复性活动的工人,包括持续的手部劳动、局部机械压力和振动,更容易患上这些疾病。本研究的目的是确定在印度从事手工密集型职业的各种无组织部门的工人中MSDs的患病率。当前研究的目的是确定印度各种无组织部门中从事严重手工密集型职业的工人的MSD患病率。为了实现这一目标,我们进行了一项横断面研究,涉及来自不同群体的340名工人,如甘蔗种植者、制鞋业工人和篷布编织工人。调查的数据是通过问卷收集的。此外,对工人在职业任务期间进行的不同活动进行了全面的时间研究和基于深度学习的姿势检测研究。采用卡方检验评估不适与重复性工作之间的关系。数据分析显示,无组织部门工人的工作活动(特别是切割/收获,橡胶切割等)是重复的,每个活动的工作周期中有一半以上涉及类似的使用模式。此外,不同行业工人的不适程度与工作重复性之间存在显著关联(甘蔗农:p <0.01,鞋业工人:p <0.05,油布编织工人:p <0.05)。因此,可以得出结论,涉及重复性和长时间站立的长时间职业活动可能导致MSDs的发生。根据数据分析,所有活动都是重复的,每个活动的工作周期中有一半以上涉及类似的使用模式。因此,可以这样说,重复性和长时间站立模式下的长时间职业活动可能被认为是MSDs发生的促成因素。在不久的将来,为了防止这些问题的发生,以专利工作的形式进行人体工程学干预/修改是必要的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Recent Patents on Engineering
Recent Patents on Engineering Engineering-Engineering (all)
CiteScore
1.40
自引率
0.00%
发文量
100
期刊介绍: Recent Patents on Engineering publishes review articles by experts on recent patents in the major fields of engineering. A selection of important and recent patents on engineering is also included in the journal. The journal is essential reading for all researchers involved in engineering sciences.
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