Chaiklieng Sunisa, Tongsantia Umakorn, Suggaravetsiri Pornnapa, Autrup Herman
Department of Occupational Safety and Environmental Health, Faculty of Public Health, Khon Kaen University, Khon Kaen 40002, Thailand.
Faculty of Public Health, Khon Kaen University, Khon Kaen 40002, Thailand.
Int J Environ Res Public Health. 2025 Mar 8;22(3):397. doi: 10.3390/ijerph22030397.
This study of risk assessment of gasoline station workers was performed by using the following three models: the occupational safety and health (OSH) risk assessment aligned with ISO 45001, the biomatrix of health risk, and the benzene risk matrix assessment for gasoline station workers. Levels of inhaled air benzene and urine tt-muconic acid (tt-MA) were measured using samples collected from 151 gasoline station workers. Opportunity levels of benzene exposure were obtained by multiplying the frequency of benzene exposure by the levels of tt-MA, the inhaled benzene concentration levels, or the likelihood levels from contributing risk factors at gasoline stations. The final risk scores were calculated by multiplying the opportunity levels by the severity based on the adverse symptoms of benzene toxicity experienced by workers. A checklist regarding risk factors contributing to benzene exposure was used to collect data on occupational safety performance. The potential health risk was at an unacceptable level for 66.23%, 75.50%, and 60.26% of workers according to the OSH risk, the biomatrix of health risk, and the benzene risk matrix model, respectively. There was a significant linear relationship between the risk levels indicated by the three matrix models (r > 0.6, < 0.001). These findings demonstrate that alternative risk assessments can be provided and simply used for preventive action against health hazards from benzene exposure in risk management programs.
与ISO 45001标准一致的职业安全与健康（OSH）风险评估、健康风险生物矩阵以及加油站工作人员苯风险矩阵评估。使用从151名加油站工作人员采集的样本测量吸入空气中苯和尿中反式粘康酸（tt-MA）的水平。苯暴露机会水平通过将苯暴露频率乘以tt-MA水平、吸入苯浓度水平或加油站相关风险因素的可能性水平来获得。最终风险分数通过将机会水平乘以基于工作人员所经历的苯毒性不良症状的严重程度来计算。使用一份关于导致苯暴露的风险因素的检查表来收集职业安全绩效数据。根据OSH风险、健康风险生物矩阵和苯风险矩阵模型，分别有66.23%、75.50%和60.26%的工作人员的潜在健康风险处于不可接受水平。三种矩阵模型所表明的风险水平之间存在显著的线性关系（r>0.6，<0.001）。这些发现表明，可以提供替代风险评估并将其简单用于风险管理计划中针对苯暴露健康危害的预防行动。
