Occupational characteristics associated with SARS-CoV-2 infection in the UK Biobank during August-November 2020: a cohort study.

Occupational characteristics associated with SARS-CoV-2 infection in the UK Biobank during August-November 2020: a cohort study.
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DOI:
10.1186/s12889-022-14311-5
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发表时间:
2022-10-10
期刊:
影响因子:
4.5
通讯作者:
--
中科院分区:
医学2区
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职业暴露可能在严重急性呼吸综合征冠状病毒2型(SARS-CoV-2)感染风险中起关键作用。我们使用了与英国生物银行(UK Biobank)相关联的工作暴露矩阵来衡量职业特征,并估计与SARS-CoV-2阳性检测的关联。在2020年英国基线面试中报告职位头衔的人都是< 65岁的人。医疗保健工作者被排除在外,因为获得检测的机会不同。这些工作与美国职业信息网络(O*NET)工作接触矩阵相关联。基于O* NET的得分进行了检查,职业物理接近,暴露于疾病/感染,户外工作暴露于天气,户外工作的覆盖(得分范围= 1-5)。使用两种算法将工作分类为远程工作。SARS-CoV-2检测结果在2020年8月5日至11月10日期间进行了评估,当时英国解除封锁。采用考克斯回归计算校正后的风险比(aHR),考虑年龄、性别、种族、教育、邻里贫困、评估中心、家庭规模和收入。我们纳入了115,451名有工作头衔的人,其中1746人的SARS-CoV-2检测呈阳性。物理接近度得分增加1分与SARS-CoV-2风险增加1.14倍相关(95%CI = 1.05-1.24)。疾病/感染暴露评分每增加1分,SARS-CoV-2风险增加1.09倍(95%CI = 1.02-1.16)。无论使用何种分类算法,报告无法远程完成工作的人患SARS-CoV-2的风险都更高(aHR = 1.17和1.20)。户外工作与SARS-CoV-2相关(暴露于天气aHR = 1.06,95%CI = 1.01-1.11;隐蔽aHR = 1.08,95%CI = 1.00-1.17),但在考虑是否可以远程工作后,这些相关性并不显著。从事不适合远程工作、需要更近的身体距离以及需要更广泛地接触疾病/感染的职业的人,SARS-CoV-2检测阳性的风险更高。这些发现提供了额外的证据,证明2019年冠状病毒病(COVID-19)是一种职业病,即使在医疗保健环境之外,也表明减少面对面工作环境中传播的策略仍然很重要。
Occupational exposures may play a key role in severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection risk. We used a job-exposure matrix linked to the UK Biobank to measure occupational characteristics and estimate associations with a positive SARS-CoV-2 test. People reporting job titles at their baseline interview in England who were < 65 years of age in 2020 were included. Healthcare workers were excluded because of differential access to testing. Jobs were linked to the US Occupational Information Network (O*NET) job exposure matrix. O*NET-based scores were examined for occupational physical proximity, exposure to diseases/infection, working outdoors exposed to weather, and working outdoors under cover (score range = 1–5). Jobs were classified as remote work using two algorithms. SARS-CoV-2 test results were evaluated between August 5th-November 10th, 2020, when the UK was released from lockdown. Cox regression was used to calculate adjusted hazard ratios (aHRs), accounting for age, sex, race, education, neighborhood deprivation, assessment center, household size, and income. We included 115,451 people with job titles, of whom 1746 tested positive for SARS-CoV-2. A one-point increase in physical proximity score was associated with 1.14 times higher risk of SARS-CoV-2 (95%CI = 1.05–1.24). A one-point increase in the exposure to diseases/infections score was associated with 1.09 times higher risk of SARS-CoV-2 (95%CI = 1.02–1.16). People reporting jobs that could not be done remotely had higher risk of SARS-CoV-2 regardless of the classification algorithm used (aHRs = 1.17 and 1.20). Outdoors work showed an association with SARS-CoV-2 (exposed to weather aHR = 1.06, 95%CI = 1.01–1.11; under cover aHR = 1.08, 95%CI = 1.00–1.17), but these associations were not significant after accounting for whether work could be done remotely. People in occupations that were not amenable to remote work, required closer physical proximity, and required more general exposure to diseases/infection had higher risk of a positive SARS-CoV-2 test. These findings provide additional evidence that coronavirus disease 2019 (COVID-19) is an occupational disease, even outside of the healthcare setting, and indicate that strategies for mitigating transmission in in-person work settings will remain important.
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