Department of Occupational and Environmental Medicine, Bispebjerg Hospital, Copenhagen, Denmark.
Am J Ind Med. 2024 Oct;67(10):942-953. doi: 10.1002/ajim.23651. Epub 2024 Aug 26.
Epidemiological studies of occupational risk factors for rare disorders require large study populations with adequate exposure estimates. Job exposure matrices (JEMs) linked to national information on standardized job titles may enable such large studies. We aimed to establish and validate a JEM for occupational hand-wrist exposures that could be linked to Danish national register data on job titles and hand-wrist disorders.
We developed a JEM for hand-wrist repetition, force, vibration, and computer work in 96 job groups covering 91% of the 2227 occupational titles in the Danish version of the International Standard Classification of Occupation-88, and examined inter-rater reliability of five expert ratings. Poisson regression models were used to estimate incidence rate ratios for the association of carpal tunnel syndrome (CTS) with the level of repetitive movements, force, vibration, and hours of computer work described by the JEM, adjusted for relevant confounders.
The JEM based on expert ratings had fair to good interrater reliability. The incidence of CTS increased with increasing levels of force, hand-wrist repetition, and vibration, Exposure-response patterns for repetition and vibration became less consistent after adjustment for force. The interaction between repetition and force was complex and did not support an overall positive interaction. Computer work was negatively associated with incident CTS.
The JEM was able to identify known risk factors for CTS consistent with current evidence, and provided further associations on exposure-response patterns, mutual exposure adjustment, and interaction effects between repetition and force. The reliability of expert assessments of hand-wrist physical exposures was fair to good.
研究罕见疾病的职业风险因素需要大的研究人群和充分的暴露评估。与国家标准化职业信息相关联的职业暴露矩阵(JEM)可以实现这样的大型研究。我们的目的是建立和验证一个与丹麦国家职业和手部腕部疾病登记数据相关联的手部腕部职业暴露 JEM。
我们开发了一个 JEM,用于 96 个职业组中的手部腕部重复、力量、振动和计算机工作,涵盖了丹麦版国际标准职业分类-88 中的 2227 个职业中的 91%。我们检查了五位专家评估的内部信度。泊松回归模型用于估计腕管综合征(CTS)与 JEM 描述的重复性运动、力量、振动和计算机工作时间的关联的发病率比,调整了相关混杂因素。
基于专家评分的 JEM 具有良好的内部信度。CTS 的发病率随着力量、手部腕部重复和振动水平的增加而增加。在调整力量后,重复和振动的暴露-反应模式变得不那么一致。重复和力量之间的相互作用很复杂,不支持总体上的正相互作用。计算机工作与 CTS 的发生呈负相关。
JEM 能够识别与当前证据一致的 CTS 已知危险因素,并提供了更多关于暴露-反应模式、相互暴露调整以及重复和力量之间相互作用的关联。手部腕部物理暴露的专家评估的可靠性为良好到中等。