公共汽车暴露矩阵,一种评估公共汽车司机暴露于物理化学危害的工具
Viviane Fiona Mathilde Remy1, Giles Innocent2, David Vernez1
1Unisanté, Center for Primary Care and Public Health & University of Lausanne, Route de la Corniche 2, 1066, Epalinges, Lausanne, Switzerland.
Annals of work exposures and health
|June 27, 2025
概括
一个新的公共汽车暴露矩阵 (BEM) 量化了瑞士公共汽车司机的职业危险. 该工具揭示了暴露于物理化学剂的历史趋势,有助于未来的职业健康研究.
科学领域:
- 职业健康 职业健康 职业健康
- 环境科学 环境科学
- 交通运输安全 运输安全
背景情况:
- 瑞士的公共汽车司机面临着严重的健康问题,包括肌肉骨系统疾病,疲劳,压力以及肺癌和自杀的死亡率增加.
- 现有的关于这个群体的职业暴露的文件不足,阻碍了针对性的健康干预措施.
研究的目的:
- 开发和验证一种新的公共汽车暴露矩阵 (BEM),用于评估瑞士公共汽车司机对10种物理化学危害的职业暴露.
- 为了使大批公共汽车司机能够根据驾驶的历史公共汽车模型进行回顾性暴露评估.
主要方法:
- 创建了一个全面的公共汽车库存,并分析了705辆瑞士公共汽车车型的技术特性 (自1980年以来).
- 在代表性公共汽车模型中进行了暴露测量,并使用了集成嵌套拉普拉斯近似 (INLA) 模型来将数据扩展到整个车队.
- 将BEM与809名公共汽车司机的调查数据联系起来,以估计过去每年对各种毒剂的暴露.
主要成果:
- 该BEM成功估计了对颗粒物 (PM10比率,超细颗粒比率),振动 (全身,地板),噪音 (等价,峰值),电场 (高频和低频),磁场 (低频) 和空气交换率的年度暴露.
- 历史分析 (1985-2022) 显示,峰值噪音和电场水平增加,PM10,超细颗粒,相当噪音,全身振动和空气交换率下降.
结论:
- 开发的公交车暴露矩阵 (BEM) 是公交车驾驶行业事后职业暴露评估的开创性工具.
- 该工具为进一步研究公共汽车司机面临的职业健康风险和趋势提供了基础.
关键词:
在PM10中,PM10是什么?空气中的颗粒.电磁场是指电磁场中的电磁场.风险曝光评估 风险曝光评估噪音 噪音 噪音 噪音职业暴露 职业暴露 职业暴露物理化学危险 物理化学危险专业司机专业的司机超细颗粒 超细颗粒振动 振动 振动是一种振动.更多相关视频
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