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
Background: 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.
Methods: 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.
Results: 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.
Conclusion: 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.
Biological Specimen Banks, COVID-19/epidemiology, Cohort Studies, Communicable Disease Control, Humans, Occupational Exposure/adverse effects, SARS-CoV-2, United Kingdom/epidemiology
Yanik, Elizabeth L.
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Evanoff, Bradley A.
ed632ef0-14f3-4ffa-8b0e-4bda1ef1cf47
Dale, Ann Marie
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Ma, Yinjiao
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Walker-Bone, Karen E.
ad7d1336-ed2c-4f39-ade5-da84eb412109
Yanik, Elizabeth L.
b5f579f3-a527-468a-826e-6a3744b56878
Evanoff, Bradley A.
ed632ef0-14f3-4ffa-8b0e-4bda1ef1cf47
Dale, Ann Marie
4fb85d5e-be17-499d-b5b7-aa54ec658c22
Ma, Yinjiao
547a059c-6d1a-4a6c-abbf-93e53dfde16a
Walker-Bone, Karen E.
ad7d1336-ed2c-4f39-ade5-da84eb412109
Yanik, Elizabeth L., Evanoff, Bradley A., Dale, Ann Marie, Ma, Yinjiao and Walker-Bone, Karen E.
(2022)
Occupational characteristics associated with SARS-CoV-2 infection in the UK Biobank during August-November 2020: a cohort study.
BMC Public Health, 22 (1), [1884].
(doi:10.1186/s12889-022-14311-5).
Abstract
Background: 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.
Methods: 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.
Results: 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.
Conclusion: 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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s12889-022-14311-5
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Accepted/In Press date: 6 October 2022
e-pub ahead of print date: 10 October 2022
Keywords:
Biological Specimen Banks, COVID-19/epidemiology, Cohort Studies, Communicable Disease Control, Humans, Occupational Exposure/adverse effects, SARS-CoV-2, United Kingdom/epidemiology
Identifiers
Local EPrints ID: 485813
URI: http://eprints.soton.ac.uk/id/eprint/485813
ISSN: 1471-2458
PURE UUID: c371b69c-2952-40c2-a0f4-b1045e11f17b
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Date deposited: 19 Dec 2023 18:04
Last modified: 18 Mar 2024 02:51
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Contributors
Author:
Elizabeth L. Yanik
Author:
Bradley A. Evanoff
Author:
Ann Marie Dale
Author:
Yinjiao Ma
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