TY - JOUR T1 - Association between COVID-19 infection and work exposure assessed by the Mat-O-Covid job exposure matrix in the CONSTANCES cohort JF - Occupational and Environmental Medicine JO - Occup Environ Med DO - 10.1136/oemed-2022-108436 SP - oemed-2022-108436 AU - Marc Fadel AU - Fabien Gilbert AU - Clément Legeay AU - Vincent Dubée AU - Yolande Esquirol AU - Catherine Verdun-Esquer AU - Aurelien Dinh AU - Grace Sembajwe AU - Marcel Goldberg AU - Yves Roquelaure AU - Annette Leclerc AU - Emmanuel Wiernik AU - Marie Zins AU - Alexis Descatha A2 - , Y1 - 2022/09/19 UR - http://oem.bmj.com/content/early/2022/09/19/oemed-2022-108436.abstract N2 - 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.Data may be obtained from a third party and are not publicly available. The data of the CONSTANCES cohort are protected by our national regulatory agency ('Commission nationale de l’informatique et des libertés', no 910486). However, the CONSTANCES cohort is 'an open epidemiological laboratory' and access to study protocols and data is available on justified request. ER -