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Fadel M, Gilbert F, Legeay C, Dubée V, Esquirol Y, Verdun-Esquer C, Dinh A, Sembajwe G, Goldberg M, Roquelaure Y, Leclerc A, Wiernik E, Zins M, Descatha A. Association between COVID-19 infection and work exposure assessed by the Mat-O-Covid job exposure matrix in the CONSTANCES cohort. Occup Environ Med 2022; 79:oemed-2022-108436. [PMID: 36126974 PMCID: PMC9606493 DOI: 10.1136/oemed-2022-108436] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2022] [Accepted: 08/01/2022] [Indexed: 11/12/2022]
Abstract
OBJECTIVES The COVID-19 pandemic has brought to light a new occupational health threat. We aimed to evaluate the association between COVID-19 infection and work exposure to SARS-CoV-2 assessed by a job-exposure matrix (JEM), in a large population cohort. We also estimated the population-attributable fraction among exposed subjects. METHODS We used the SAPRIS-SERO sample of the CONSTANCES cohort, limited to subjects actively working, and with a job code available and a questionnaire on extra work activities. The following outcomes were assessed: COVID-19 diagnosis was made by a physician; a seropositivity to the ELISA-S test ('serology strict') and ELISA-S test intermediate with positive ELISA-NP or a positive neutralising antibodies SN ('serology large'). Job exposure was assessed using Mat-O-Covid, an expert-based JEM with an Index used as a continuous variable and a threshold at 13/1000. RESULTS The sample included 18 999 subjects with 389 different jobs, 47.7% were men with a mean age of 46.2 years (±9.2 years). The Mat-O-Covid index taken as a continuous variable or with a threshold greater than 13/1000 was associated with all the outcomes in bivariable and multivariable logistic models. ORs were between 1.30 and 1.58, and proportion of COVID-19 attributable to work among exposed participants was between 20% and 40%. DISCUSSION Using the Mat-O-Covid JEM applied to a large population, we found a significant association between work exposure to SARS-CoV-2 and COVID-19 infection, though the estimation of attributable fraction among exposed people remained low to moderate. Further studies during other exposed periods and with other methods are necessary.
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Affiliation(s)
- Marc Fadel
- Univ Angers, CHU Angers, Univ Rennes, Inserm, EHESP, Irset (Institut de recherche en santé, environnement et travail) - UMR_S 1085, Ester Unit, SFR ICAT, CAPTV CDC, Angers, France
| | - Fabien Gilbert
- Univ Angers, CHU Angers, Univ Rennes, Inserm, EHESP, Irset (Institut de recherche en santé, environnement et travail) - UMR_S 1085, Ester Unit, SFR ICAT, CAPTV CDC, Angers, France
| | - Clément Legeay
- Infection Control and Prevention Unit, CHU Angers, Angers, France
| | - Vincent Dubée
- Infectious and Tropical Diseases Department, University Hospital CHU Angers, Angers, France
- Immunology and New Concepts in ImmunoTherapy, INCIT, UMR 1302/EMR6001, Univ Angers, Nantes Université, INSERM, CNRS, Nantes, France
| | - Yolande Esquirol
- Occupational and Environmental Health Department, CHU, CERPOP UMR 1295, Université Paul Sabatier Toulouse 3, Inserm, Toulouse, France
| | - Catherine Verdun-Esquer
- Service Santé Travail Environnement, INSERM U1219, EPICENE, CHU de Bordeaux, Univ Bordeaux, Bordeaux, France
| | - Aurelien Dinh
- Infectious Disease Unit, Raymond-Poincaré University Hospital, AP-HP (Paris Hospital), Paris Saclay University, Paris, France
| | - Grace Sembajwe
- Department of Occupational Medicine, Epidemiology and Prevention, Donald and Barbara Zucker School of Medicine, Hofstra/ Northwell, Great Neck, New York, USA
| | - Marcel Goldberg
- Unité "Cohortes en Population" UMS 011, Inserm/Université de Paris/Université Paris Saclay/UVSQ, Villejuif, France
| | - Yves Roquelaure
- Univ Angers, CHU Angers, Univ Rennes, Inserm, EHESP, Irset (Institut de recherche en santé, environnement et travail) - UMR_S 1085, Ester Unit, SFR ICAT, CAPTV CDC, Angers, France
| | - Annette Leclerc
- Unité "Cohortes en Population" UMS 011, Inserm/Université de Paris/Université Paris Saclay/UVSQ, Villejuif, France
| | - Emmanuel Wiernik
- Unité "Cohortes en Population" UMS 011, Inserm/Université de Paris/Université Paris Saclay/UVSQ, Villejuif, France
| | - Marie Zins
- Unité "Cohortes en Population" UMS 011, Inserm/Université de Paris/Université Paris Saclay/UVSQ, Villejuif, France
| | - Alexis Descatha
- Univ Angers, CHU Angers, Univ Rennes, Inserm, EHESP, Irset (Institut de recherche en santé, environnement et travail) - UMR_S 1085, Ester Unit, SFR ICAT, CAPTV CDC, Angers, France
- Department of Occupational Medicine, Epidemiology and Prevention, Donald and Barbara Zucker School of Medicine, Hofstra/ Northwell, Great Neck, New York, USA
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