Faculty of Public Health, Thammasat University (Rangsit Center), Khlong Nueng, Khlong Luang, Pathumthani, Thailand.
J Occup Environ Hyg. 2024 Nov;21(11):765-777. doi: 10.1080/15459624.2024.2398009. Epub 2024 Oct 9.
Exposure to silica dust presents a risk for the development of lung disease for stone carvers in Nakhon Ratchasima province, Thailand. This study aimed to develop a rapid prediction model for the assessment of silicosis risk among 243 stone carvers who were exposed to silica at work from August and October 2023 in Nakhon Ratchasima, Thailand. Demographic characteristics collected in questionnaires were work information; basic health information; health behavior data, including prevention and control of silicosis; knowledge; attitude; and practices for surveillance, prevention, and control of silicosis. Respirable crystalline silica (RCS) exposures were measured by conducting personal air sampling. Risk scores of silicosis were calculated and a rapid prediction model for assessment of silicosis risk among stone carvers was determined. It was found that 11 variables were significantly associated with silicosis risk scores ( < 0.05). However, it was demonstrated that only four significant influential variables, including the concentration of silica dust exposure (mg/m), working hours per day, underlying diseases, and separation of residence from a workplace were acceptable for conducting a silicosis risk assessment using multiple regression analysis (R = 0.675). This study indicated that a prediction model can be used for the assessment of silicosis risk among stone carvers. Therefore, the use of this prediction model is recommended to evaluate the risk associated with exposure to RCS of stone carvers in Nakhon Ratchasima province, Thailand due to its simplicity, accuracy, and time-saving attributes.
在泰国那空叻差是玛府,接触二氧化硅粉尘会使石雕工人面临罹患肺部疾病的风险。本研究旨在为 243 名石雕工人开发一种快速预测模型,以评估他们在泰国那空叻差是玛府 2023 年 8 月至 10 月期间工作时接触二氧化硅所产生的矽肺风险。问卷调查收集的人口统计学特征包括工作信息、基本健康信息、健康行为数据,包括矽肺的预防和控制、知识、态度和矽肺监测、预防和控制的实践。通过进行个人空气采样来测量可吸入结晶二氧化硅 (RCS) 的暴露情况。计算矽肺风险评分,并确定评估石雕工人矽肺风险的快速预测模型。结果发现,有 11 个变量与矽肺风险评分显著相关(<0.05)。然而,多项回归分析表明,只有四个显著的有影响的变量,包括二氧化硅粉尘暴露浓度(mg/m)、每天工作小时数、潜在疾病和居住地与工作场所的分离情况,可用于矽肺风险评估(R = 0.675)。本研究表明,可以使用预测模型来评估石雕工人的矽肺风险。因此,建议在泰国那空叻差是玛府使用这种预测模型来评估石雕工人接触 RCS 所带来的风险,因为它具有简单、准确和节省时间的特点。