Remy Viviane Fiona Mathilde, Innocent Giles, Vernez David, Guseva Canu Irina
Unisanté, Center for Primary Care and Public Health & University of Lausanne, Route de la Corniche 2, 1066, Epalinges, Lausanne, Switzerland.
Biomathematics & Statistics Scotland (BioSS), The King's Buildings, Edinburgh EH9 3JZ, United Kingdom.
Ann Work Expo Health. 2025 Aug 1;69(7):736-751. doi: 10.1093/annweh/wxaf036.
Swiss bus drivers suffer from musculoskeletal disorders, fatigue, and stress and have an excessive mortality from lung cancer and suicide compared to other workers. However, their occupational exposure is poorly documented. We created a bus-exposure matrix (BEM) to determine occupational exposures to 10 types of physical-chemical hazards for 705 bus models used in Switzerland since 1980. For this, we made a comprehensive bus inventory and review of 50 technical characteristics of each bus model, identified 10 bus models representative of the Swiss bus fleet evolution, and conducted static and dynamic exposure measurement campaigns in the representative buses. The measured values were then extended to the entire fleet using Integrated Nested Laplace Approximation (INLA) models. The choice of predictors and technical bus characteristics included in the models were based on directed acyclic graphs. To demonstrate the usefulness of the BEM as an exposure assessment tool, we used data from the 2022 survey of Swiss bus drivers who listed the bus models they had driven during their careers. The BEM linkage with these bus drivers' histories enabled us to estimate annual exposure to PM10 ratio (-), ultrafine particle ratio (-), whole-body vibration (m/s2), floor vibration (m/s2), equivalent noise (dB(A)), peak noise (dB(C)), high-frequencies electric fields (V/m), low-frequencies magnetic field (µT), low-frequencies electric fields (V/m), and air exchange rate (1/h) of 809 Swiss bus drivers. Historical data assessment from 1985 through 2022 showed that peak noise, high- and low-frequencies electric field levels have increased, while PM10 ratio, ultrafine particle ratio, equivalent noise, whole-body vibration levels, and air exchange rate have decreased. This, first in the world, BEM is an original tool for retrospective exposure assessment that will enable further research in the occupational health of bus drivers.
与其他工人相比,瑞士公交车司机患有肌肉骨骼疾病、疲劳和压力,且肺癌和自杀死亡率过高。然而,他们的职业暴露情况记录不佳。我们创建了一个公交暴露矩阵(BEM),以确定自1980年以来瑞士使用的705种公交车型对10种物理化学危害的职业暴露情况。为此,我们对公交车进行了全面清查,并审查了每种公交车型的50项技术特征,确定了10种代表瑞士公交车辆车队演变的公交车型,并在这些代表车辆上开展了静态和动态暴露测量活动。然后,使用集成嵌套拉普拉斯近似(INLA)模型将测量值扩展到整个车队。模型中预测变量和公交技术特征的选择基于有向无环图。为了证明BEM作为暴露评估工具的有用性,我们使用了2022年瑞士公交车司机调查的数据,这些司机列出了他们职业生涯中驾驶过的公交车型。BEM与这些公交车司机的驾驶历史相联系,使我们能够估算809名瑞士公交车司机的年度暴露情况,包括PM10比率(-)、超细颗粒比率(-)、全身振动(米/秒²)、地板振动(米/秒²)、等效噪声(分贝(A))、峰值噪声(分贝(C))、高频电场(伏/米)、低频磁场(微特斯拉)、低频电场(伏/米)和空气交换率(次/小时)。1985年至2022年的历史数据评估表明,峰值噪声、高频和低频电场水平有所增加,而PM10比率、超细颗粒比率、等效噪声、全身振动水平和空气交换率有所下降。这一世界首创的BEM是一种用于回顾性暴露评估的原创工具,将有助于进一步开展公交车司机职业健康方面的研究。