Netherlands Organisation for Applied Scientific Research TNO, Department of Work Health Technology, Unit Healthy Living, Schipholweg 79-86, 2316 ZL Leiden, The Netherlands.
Department Population Health Sciences, Institute for Risk Assessment Sciences, Utrecht University, Yalelaan 2, 3584 CM Utrecht, The Netherlands.
Ann Work Expo Health. 2023 Jan 12;67(1):9-20. doi: 10.1093/annweh/wxac032.
A COVID-19 Job Exposure Matrix (COVID-19-JEM) has been developed, consisting of four dimensions on transmission, two on mitigation measures, and two on precarious work. This study aims to validate the COVID-19-JEM by (i) comparing risk scores assigned by the COVID-19-JEM with self-reported data, and (ii) estimating the associations between the COVID-19-JEM risk scores and self-reported COVID-19.
Data from measurements 2 (July 2020, n = 7690) and 4 (March 2021, n = 6794) of the Netherlands Working Conditions Survey-COVID-19 (NWCS-COVID-19) cohort study were used. Responses to questions related to the transmission risks and mitigation measures of Measurement 2 were used to calculate self-reported risk scores. These scores were compared with the COVID-19-JEM attributed risk scores, by assessing the percentage agreement and weighted kappa (κ). Based on Measurement 4, logistic regression analyses were conducted to estimate the associations between all COVID-19-JEM risk scores and self-reported COVID-19 (infection in general and infected at work).
The agreement between the COVID-19-JEM and questionnaire-based risk scores was good (κ ≥ 0.70) for most dimensions, except work location (κ = 0.56), and face covering (κ = 0.41). Apart from the precarious work dimensions, higher COVID-19-JEM assigned risk scores had higher odds ratios (ORs; ranging between 1.28 and 1.80) on having had COVID-19. Associations were stronger when the infection were thought to have happened at work (ORs between 2.33 and 11.62).
Generally, the COVID-19-JEM showed a good agreement with self-reported infection risks and infection rates at work. The next step is to validate the COVID-19-JEM with objective data in the Netherlands and beyond.
已经开发出一种 COVID-19 工作暴露矩阵(COVID-19-JEM),该矩阵由四个传播维度、两个缓解措施维度和两个不稳定工作维度组成。本研究旨在通过以下方法验证 COVID-19-JEM:(i)比较 COVID-19-JEM 分配的风险评分与自我报告数据,(ii)估计 COVID-19-JEM 风险评分与自我报告 COVID-19 之间的关联。
使用荷兰工作条件调查 COVID-19(NWCS-COVID-19)队列研究的测量 2(2020 年 7 月,n=7690)和测量 4(2021 年 3 月,n=6794)的数据。使用测量 2 中与传播风险和缓解措施相关的问题的回答来计算自我报告的风险评分。通过评估百分比一致性和加权kappa(κ)来比较 COVID-19-JEM 归因风险评分。基于测量 4,进行逻辑回归分析以估计所有 COVID-19-JEM 风险评分与自我报告 COVID-19(一般感染和工作中感染)之间的关联。
COVID-19-JEM 与基于问卷的风险评分之间的一致性良好(κ≥0.70),除了工作地点(κ=0.56)和面罩(κ=0.41)。除了不稳定工作维度外,较高的 COVID-19-JEM 分配风险评分具有更高的比值比(OR;范围在 1.28 到 1.80 之间),与 COVID-19 相关。当感染被认为是在工作中发生时,关联更强(OR 范围在 2.33 到 11.62 之间)。
总体而言,COVID-19-JEM 与自我报告的感染风险和工作中的感染率之间具有良好的一致性。下一步是使用荷兰及其他地区的客观数据来验证 COVID-19-JEM。