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Occupational characteristics associated with SARS-CoV-2 infection in the UK Biobank during August-November 2020: a cohort study.
Yanik, Elizabeth L; Evanoff, Bradley A; Dale, Ann Marie; Ma, Yinjiao; Walker-Bone, Karen E.
Afiliação
  • Yanik EL; Department of Orthopaedic Surgery, Washington University School of Medicine, 660 S. Euclid Ave, Campus Box 8233, St. Louis, MO, 63110, USA. yanike@wustl.edu.
  • Evanoff BA; Department of Surgery, Washington University School of Medicine, St. Louis, MO, USA. yanike@wustl.edu.
  • Dale AM; Division of General Medical Sciences, Washington University School of Medicine, St. Louis, MO, USA.
  • Ma Y; Division of General Medical Sciences, Washington University School of Medicine, St. Louis, MO, USA.
  • Walker-Bone KE; Division of Biostatistics, Washington University School of Medicine, St. Louis, MO, USA.
BMC Public Health ; 22(1): 1884, 2022 10 10.
Article em En | MEDLINE | ID: mdl-36217157
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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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Exposição Ocupacional / COVID-19 País/Região como assunto: Europa Idioma: En Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Exposição Ocupacional / COVID-19 País/Região como assunto: Europa Idioma: En Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos