■工人由于其工作环境而经常暴露于危险的热量中,导致各种伤害。由于气候变化,与热有关的伤害(HRIs)变得越来越成问题。本研究旨在确定影响职业HRIs严重程度的关键因素。
■本研究分析了职业安全与健康管理局(OSHA)的历史伤害报告。使用文本挖掘和无模型机器学习方法确定了影响HRI严重性的因素。应用多项Logit模型(MNL)探讨影响因素与HRIs严重程度之间的关系。
■结果表明,中年人发生致命HRIs的风险更高,年长的,和男性工人,特别是在建筑方面,服务,制造,和农业产业。此外,较高的热指数,崩溃,心脏病发作,坠落事故增加了人力资源的严重性,而脱水等症状,头晕,抽筋,昏厥,呕吐降低了致命的HRIs的可能性。
■HRIs的严重程度受到工人年龄等因素的显著影响,性别,行业类型,热指数,症状,和二次伤害。调查结果强调,需要针对不同工人群体进行量身定制的预防策略和培训,以减轻HRIs风险。
UNASSIGNED: Workers are often exposed to hazardous heat due to their work environment, leading to various injuries. As a result of climate change, heat-related injuries (HRIs) are becoming more problematic. This study aims to identify critical contributing factors to the severity of occupational HRIs.
UNASSIGNED: This study analyzed historical injury reports from the Occupational Safety and Health Administration (OSHA). Contributing factors to the severity of HRIs were identified using text mining and model-free machine learning methods. The Multinomial Logit Model (MNL) was applied to explore the relationship between impact factors and the severity of HRIs.
UNASSIGNED: The results indicated a higher risk of fatal HRIs among middle-aged, older, and male workers, particularly in the construction, service, manufacturing, and agriculture industries. In addition, a higher heat index, collapses, heart attacks, and fall accidents increased the severity of HRIs, while symptoms such as dehydration, dizziness, cramps, faintness, and vomiting reduced the likelihood of fatal HRIs.
UNASSIGNED: The severity of HRIs was significantly influenced by factors like workers\' age, gender, industry type, heat index , symptoms, and secondary injuries. The findings underscore the need for tailored preventive strategies and training across different worker groups to mitigate HRIs risks.