Matthew Gittins, Jacques Wels, Sarah Rhodes, Evangelia Demou, Richard J Shaw, Olivia K L Hamilton, Jingmin Zhu, Bożena Wielgoszewska, Anna Stevenson, Ellena Badrick, Rebecca Rhead, George Ploubidis, Srinivasa Vittal Katikireddi, Martie van Tongeren
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引用次数: 0
Abstract
Background: SARS-CoV-2 infection rates vary by occupation, but the association with work-related characteristics (such as home working, keyworker or furlough) are not fully understood and may depend on ascertainment approach. We assessed infection risks across work-related characteristics and compared findings using different ascertainment approaches.
Methods: Participants of 14 UK-based longitudinal cohort studies completed surveys before and during the COVID-19 pandemic about their health, work and behaviour. These data were linked to the National Health Service digital health records, including COVID-19 diagnostic testing, within the UK Longitudinal Linkage Collaboration (UK LLC) research environment. Poisson regression modelled self-reported infection and diagnostic test confirmed infection within each cohort for work-related characteristics. Relative Risk (RR) were then combined using random effects meta-analysis.
Results: Between March 2020 and March 2021, 74 757 individuals completed 167 302 surveys. Overall, 15 174 survey responses self-reported an infection, whereas 3053 had a linked positive test. Self-reported infection risk was greater in keyworkers versus not (RR=1.24 (95% CI 1.17, 1.31), among non-home working (1.08 (0.98, 1.19)) or some home working (1.06 (0.97, 1.17)) versus all home working. Part-time workers versus full time (0.94 (0.89, 0.99)) and furlough versus not (0.93 (0.88, 0.99)) had reduced risk. Results for the linked positive test outcome were comparable in direction but greater in magnitude, for example, a 1.85 (1.56, 2.20) in keyworkers.
Conclusion: The UK LLC provides new opportunities for researchers to investigate risk factors, including occupational factors, for ill-health events in multiple largescale UK cohorts. Risk of SARS-CoV-2 infection and COVID-19 illness appeared to be associated with work-related characteristics. Associations using linked diagnostic test data appeared stronger than self-reported infection status.
背景：SARS-CoV-2感染率因职业而异，但与工作相关特征（如在家工作、关键工作者或休假）的关系尚不完全清楚，可能取决于确定方法。我们评估了工作相关特征的感染风险，并使用不同的确定方法比较了结果。方法：14项英国纵向队列研究的参与者在COVID-19大流行之前和期间完成了关于他们的健康、工作和行为的调查。这些数据在英国纵向联动协作组织（UK LLC）的研究环境中与英国国民健康服务系统（National Health Service）的数字健康记录相关联，包括COVID-19诊断测试。泊松回归对每个队列中自我报告的感染和诊断测试确认的感染进行了建模，以确定与工作相关的特征。然后使用随机效应荟萃分析将相对风险（RR）合并。结果：在2020年3月至2021年3月期间，74 757人完成了167 302份调查。总体而言，15174名受访者自我报告感染，而3053人的相关检测呈阳性。关键员工自我报告的感染风险高于非在家工作的员工(RR=1.24 (95% CI 1.17, 1.31)，非在家工作的员工（1.08(0.98,1.19)）或部分在家工作的员工（1.06(0.97,1.17)）比所有在家工作的员工（1.06(0.97,1.17)）。兼职工作者与全职工作者相比（0.94(0.89,0.99)），休假者与非全职工作者相比（0.93(0.88,0.99)）的风险降低。相关阳性测试结果在方向上具有可比性，但在量级上更大，例如，关键工作者的1.85（1.56,2.20）。结论：英国有限责任公司为研究人员提供了新的机会，以调查危险因素，包括职业因素，在多个大规模英国队列的不良健康事件。SARS-CoV-2感染和COVID-19疾病的风险似乎与工作相关的特征有关。使用关联诊断测试数据的关联似乎比自我报告的感染状况更强。
期刊介绍：
Occupational and Environmental Medicine is an international peer reviewed journal covering current developments in occupational and environmental health worldwide. Occupational and Environmental Medicine publishes high-quality research relating to the full range of chemical, physical, ergonomic, biological and psychosocial hazards in the workplace and to environmental contaminants and their health effects. The journal welcomes research aimed at improving the evidence-based practice of occupational and environmental research; including the development and application of novel biological and statistical techniques in addition to evaluation of interventions in controlling occupational and environmental risks.
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