Associations between SARS-CoV-2 infection and subsequent economic inactivity and employment status: pooled analyses of five linked longitudinal surveys.
Associations between SARS-CoV-2 infection and subsequent economic inactivity and employment status: pooled analyses of five linked longitudinal surveys.
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SARS-CoV-2 感染与随后的经济不活动和就业状况之间的关联：五项相关纵向调查的汇总分析。
DOI：
10.1101/2023.07.31.23293422
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发表时间：
2023
期刊：
影响因子：
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通讯作者：
Greaves,F
中科院分区：
文献类型：
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作者：
Shaw,RichardJ;Rhead,Rebecca;Silverwood,RichardJ;Wels,Jacques;Zhu,Jingmin;Hamilton,OliviaKl;Gessa,GiorgioDi;Bowyer,RuthCe;Moltrecht,Bettina;Green,MichaelJ;Demou,Evangelia;Pattaro,Serena;Zaninotto,Paola;Boyd,Andy;Greaves,F
引言在COVID-19大流行的急性期之后，创纪录数量的人变得不从事经济活动（即，既不工作也不找工作的人）或失业者（包括失业的求职者和不从事经济活动的人）。一个可能的解释是人们在感染COVID-19后离开了劳动力市场。我们调查了SARS-CoV-2检测呈阳性是否与随后的经济不活跃和失业有关，在大流行前就业的人中。方法数据来自英国纵向连锁协作（UK LLC;主要分析）和英国数据服务（UKDS;次要分析）的五项英国纵向人群研究。我们汇集了五项长期研究的数据（1970年英国队列研究，英国老龄化纵向研究，1958年国家儿童发展研究，下一步和理解社会）。研究人群的年龄为25-65岁（2020年3月至2021年3月），并在疫情前就业。结果是在上一次后续调查时（2020年11月至2021年3月，取决于研究）测量的经济不活跃和不就业。对于英国有限责任公司样本（n= 8，174），在NHS英格兰记录中，SARS-CoV-2检测呈阳性表明COVID-19感染。对于UKDS样本，我们使用了自我报告的COVID-19感染指标（n= 13，881）。Logistic回归模型估计比值比（OR），95%置信区间（95%CI）调整潜在混杂因素，包括社会人口学变量，流行前健康和职业类别。结果SARS-CoV-2检测阳性与无经济活动（OR 1.08，95%CI 0.68-1.73）和无工作状态（OR 1.09，95%CI 0.68-1.73）的相关性非常弱。95%CI 0.77-1.55）。在二次分析中，自我报告的测试确认的COVID-19与经济不活跃（OR 1.01 95%CI 0.70-1.44）或非就业状态（OR 1.03 95%CI 0.79-1.35）无关。结论：在大流行前就业的人群中，SARS-CoV-2检测阳性与经济不活跃或失业增加的相关性很弱或无关。对最近经济不活跃现象增加的研究应侧重于其他潜在原因。
Introduction Following the acute phase of the COVID-19 pandemic, record numbers of people became economically inactive (i.e., neither working nor looking for work), or non-employed (including unemployed job seekers and economically inactive people). A possible explanation is people leaving the workforce after contracting COVID-19. We investigated whether testing positive for SARS-CoV-2 is related to subsequent economic inactivity and non-employment, among people employed pre-pandemic. Methods The data came from five UK longitudinal population studies held by both the UK Longitudinal Linkage Collaboration (UK LLC; primary analyses) and the UK Data Service (UKDS; secondary analyses). We pooled data from five long established studies (1970 British Cohort Study, English Longitudinal Study of Ageing, 1958 National Child Development Study, Next Steps, and Understanding Society). The study population were aged 25–65 years between March 2020 to March 2021 and employed pre-pandemic. Outcomes were economic inactivity and non-employment measured at the time of the last follow-up survey (November 2020 to March 2021, depending on study). For the UK LLC sample (n=8,174), COVID-19 infection was indicated by a positive SARS-CoV-2 test in NHS England records. For the UKDS sample we used self-reported measures of COVID-19 infection (n=13,881). Logistic regression models estimated odds ratios (ORs) with 95% confidence intervals (95%CIs) adjusting for potential confounders including sociodemographic variables, pre-pandemic health and occupational class. Results Testing positive for SARS-CoV-2 was very weakly associated with economic inactivity (OR 1.08 95%CI 0.68–1.73) and non-employment status (OR 1.09. 95%CI 0.77–1.55) in the primary analyses. In secondary analyses, self-reported test-confirmed COVID-19 was not associated with either economic inactivity (OR 1.01 95%CI 0.70–1.44) or non-employment status (OR 1.03 95%CI 0.79–1.35). Conclusions Among people employed pre-pandemic, testing positive for SARS-CoV-2 was either weakly or not associated with increased economic inactivity or non-employment. Research on the recent increases in economic inactivity should focus on other potential causes.