运用应变指数分析O * NET工作中职业相关因素和工人相关因素对上肢障碍的影响

IF 2.5 2区 工程技术 Q2 ENGINEERING, INDUSTRIAL
Li Liu , Jiansi Li , Fu Guo , Siu Shing Man
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引用次数: 0

摘要

本研究旨在探讨职业相关因素和工作相关因素对O * NET工作中可能出现的上肢障碍(ULDs)的影响。与工人相关的因素包括基本技能、雇员、教育和培训,与职业相关的因素包括自动化水平、工作区域、工作危害、工资中位数和行业。利用职业信息网络(O * NET)数据库创建每个职业的应变指数(SI)得分。结果表明,职业危险因素和基本技能因素对职业危险因素的影响最大。最低工资与技能、教育和培训、工作区域和工资中位数之间存在负相关。相反,较低的年薪与较高的SI得分和较高的ULDs风险相关。这些发现表明,未来的研究和实际应用应考虑职业水平和工人水平的因素,以及它们之间的相互作用,以有效地了解和减轻伤害风险。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The effect of occupation-related and worker-related factors on upper limb disorders using strain index among O∗NET jobs
This study aimed to investigate the effect of occupation-related and worker-related factors correlated with possible upper limb disorders (ULDs) among O∗NET jobs. Worker-related factors included basic skills, employees, and education and training and occupation-related factors included automation level, job zone, job hazard, median wage, and industry. The Occupational Information Network (O∗NET) database was utilized to create measures of the strain index (SI) score of each occupation. Results showed that job hazards and basic skills had the greatest influence on ULDs. Negative associations have been found between ULDs and skill, education and training, job zone, and median wage. Conversely, lower annual wages were associated with higher SI scores and a greater risk of ULDs. These findings suggest that future research and practical applications should consider both occupation-level and worker-level factors, as well as their interactions, to effectively understand and mitigate injury risks.
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来源期刊
International Journal of Industrial Ergonomics
International Journal of Industrial Ergonomics 工程技术-工程:工业
CiteScore
6.40
自引率
12.90%
发文量
110
审稿时长
56 days
期刊介绍: The journal publishes original contributions that add to our understanding of the role of humans in today systems and the interactions thereof with various system components. The journal typically covers the following areas: industrial and occupational ergonomics, design of systems, tools and equipment, human performance measurement and modeling, human productivity, humans in technologically complex systems, and safety. The focus of the articles includes basic theoretical advances, applications, case studies, new methodologies and procedures; and empirical studies.
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