Lyu Peiyi, Song Siyuan
Safety Automation and Visualization Environment (SAVE) Laboratory, Department of Civil, Construction, and Environmental Engineering, University of Alabama, Tuscaloosa, USA.
Saf Health Work. 2024 Jun;15(2):200-207. doi: 10.1016/j.shaw.2024.03.005. Epub 2024 Apr 12.
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.
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.
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.
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.
由于工作环境，工人经常暴露于危险的高温环境中，从而导致各种伤害。气候变化导致与热相关的伤害（HRI）问题日益严重。本研究旨在确定导致职业性HRI严重程度的关键因素。
本研究分析了美国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导致HRI严重程度的因素。应用多项逻辑回归模型（MNL）探讨影响因素与HRI严重程度之间的关系。
结果表明，中年、老年和男性工人发生致命性HRI的风险较高，尤其是在建筑、服务、制造和农业行业。此外，较高的热指数、虚脱、心脏病发作和跌倒事故会增加HRI的严重程度，而脱水、头晕、抽筋、昏厥和呕吐等症状会降低致命性HRI的可能性。
HRI的严重程度受到工人年龄、性别、行业类型、热指数、症状和继发性损伤等因素的显著影响。研究结果强调需要针对不同工人群体制定量身定制的预防策略和培训，以降低HRI风险。
