Division of General Medical Sciences, Washington University School of Medicine in St. Louis, St. Louis, Missouri, USA.
Department of Occupational Medicine, Danish Ramazzini Centre, Regional Hospital West Jutland, University Research Clinic, Herning, Denmark.
Occup Environ Med. 2019 Aug;76(8):567-572. doi: 10.1136/oemed-2018-105408. Epub 2019 Mar 20.
OBJECTIVES: Job exposure matrices (JEMs) are increasingly used to estimate physical workplace exposures. We conducted a cross-national comparison of exposure estimates from two general population JEMs to aid the interpretation of exposure-outcome associations across countries and to explore the feasibility of cross-national application of JEMs to provide workplace physical exposure estimates. METHODS: We compared physical exposure estimates from two general population JEMs created from the French study (27 exposure variables) and the American Occupational Information Network database (21 exposure variables). These exposure variables were related to physical demands or ergonomic risk factors for musculoskeletal disorders. We used a crosswalk to match French Profession et Catégorie Sociale job codes with American Standard Occupational Classification job codes and calculated Spearman's correlations and Cohen's kappa values for exposure variable pairs between these French and American JEMs. We defined a priori 50 matched French and American JEM variable pairs that measured similar exposures. RESULTS: All variable pairs measuring similar physical exposures demonstrated positive correlations. Among the 50 matched pairs, 33 showed high correlation (ρ≥0.70) and 46 showed at least moderate agreement (κ≥0.41). Exposures expected to be mutually exclusive (manual work vs office work) showed strongly negative correlations. CONCLUSIONS: French and American general population physical exposure JEMs were related, sharing moderate to high association and moderate to substantial agreement between the majority of variable pairs measuring similar exposures. These findings will inform cross-national comparisons of study results and support some uses of general population JEMs outside their countries of origin.
目的:工作场所暴露矩阵(JEM)越来越多地用于估计物理工作场所暴露。我们对来自两个普通人群 JEM 的暴露估计值进行了跨国比较,以帮助解释跨国家暴露-结局关联,并探索 JEM 在提供工作场所物理暴露估计值方面的跨国应用的可行性。
方法:我们比较了来自法国研究(27 个暴露变量)和美国职业信息网络数据库(21 个暴露变量)的两个普通人群 JEM 的物理暴露估计值。这些暴露变量与肌肉骨骼疾病的物理需求或人体工程学危险因素有关。我们使用交叉核对将法国职业和社会阶层工作代码与美国标准职业分类工作代码进行匹配,并计算了这些法国和美国 JEM 之间暴露变量对的 Spearman 相关系数和 Cohen's kappa 值。我们预先定义了 50 对匹配的法国和美国 JEM 变量,这些变量测量了相似的暴露。
结果:所有测量相似物理暴露的变量对均显示出正相关。在 50 对匹配变量中,33 对显示出高度相关(ρ≥0.70),46 对显示出至少中度一致(κ≥0.41)。预计相互排斥的暴露(体力劳动与办公室工作)显示出强烈的负相关。
结论:法国和美国普通人群的物理暴露 JEM 是相关的,在大多数测量相似暴露的变量对之间具有中度到高度的关联和中度到显著的一致性。这些发现将为跨国比较研究结果提供信息,并支持 JEM 在其起源国之外的一些用途。
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