Eliud Kibuchi, Sarah Amele, Ronan McCabe, Evangelia Demou, Alastair H Leyland, Colin R Simpson, Ting Shi, Patricia Irizar, Laia Becares, Aziz Sheikh, Anna Pearce, Srinivasa V Katikireddi
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引用次数: 0
Abstract
This study investigated the extent to which ethnic inequalities in severe COVID-19 (i.e. hospitalization or deaths) are mediated through occupational risk differences. We used a population-based cohort study linking the 2011 Scottish Census to health records. We included all individuals aged 30-64 years and living in Scotland on 1 March 2020. The study period was from 1 March 2020 to 17 April 2022. Self-reported ethnicity was taken from the Census. We derived occupational risk of SARS-COV-2 infection using the 3-digit Standard Occupational Classification (SOC2010). We estimated hazard ratios (HRs) of total effects and controlled direct effects of ethnicity on severe COVID-19 mediated by occupational risk using marginal structural Cox models and subsequent proportional change. For aggregated ethnic groups, Non-White groups experienced a higher risk of severe COVID-19 (HR 1.6; 95% CI 1.4-1.8) compared to White group (all White ethnic groups) which increased to (1.7; 1.4-2.1) after accounting for occupational risk, representing a 6.0% change. For disaggregated ethnic groups, risks for South Asian (2.0; 1.8-2.3), African, Caribbean, or Black (1.3; 0.9-1.7) and Other ethnic groups (1.1; 0.9-1.3) were higher compared to White Scottish. After accounting for occupational risk, estimated risk of severe COVID-19 remained elevated for South Asian (1.8; 1.2-2.3), African Caribbean or Black (1.4; 0.8-2.1) and Other ethnic group (1.7; 1.1-2.3) representing a reduction of 11.8% and increases of 16.4% and 59.0%, respectively. Our findings suggest that ethnic inequalities in severe COVID-19 were impacted by differences in occupational risk.
本研究调查了严重COVID-19(即住院或死亡)中的种族不平等在多大程度上通过职业风险差异介导。我们使用了一项基于人群的队列研究,将2011年苏格兰人口普查与健康记录联系起来。我们纳入了2020年3月1日居住在苏格兰的所有年龄在30-64岁之间的个人。研究期间为2020年3月1日至2022年4月17日。自我报告的种族来自人口普查。我们使用3位数标准职业分类(SOC2010)得出了SARS-COV-2感染的职业风险。我们使用边际结构Cox模型和随后的比例变化估计了由职业风险介导的严重COVID-19的总效应的风险比(hr),并控制了种族的直接影响。对于聚集的种族群体,非白人群体患严重COVID-19的风险更高(HR 1.6;95% CI 1.4-1.8),而白人组(所有白人族群)则增加到(1.7;1.4-2.1),在考虑职业风险后,代表6.0%的变化。对于分类的种族群体,南亚的风险(2.0;1.8-2.3),非洲人,加勒比人,或黑人(1.3;0.9-1.7)和其他民族(1.1;0.9-1.3),高于白苏格兰。在考虑职业风险后,南亚患严重COVID-19的估计风险仍然很高(1.8;1.2-2.3),非洲加勒比人或黑人(1.4;0.8-2.1),其他民族(1.7;1.1-2.3),分别下降11.8%,上升16.4%和59.0%。我们的研究结果表明,COVID-19重症患者的种族不平等受到职业风险差异的影响。
期刊介绍:
The European Journal of Public Health (EJPH) is a multidisciplinary journal aimed at attracting contributions from epidemiology, health services research, health economics, social sciences, management sciences, ethics and law, environmental health sciences, and other disciplines of relevance to public health. The journal provides a forum for discussion and debate of current international public health issues, with a focus on the European Region. Bi-monthly issues contain peer-reviewed original articles, editorials, commentaries, book reviews, news, letters to the editor, announcements of events, and various other features.