Association between COVID-19 infection and work exposure assessed by the Mat-O-Covid job exposure matrix in the CONSTANCES cohort. Issue 11 (20th September 2022)
- Record Type:
- Journal Article
- Title:
- Association between COVID-19 infection and work exposure assessed by the Mat-O-Covid job exposure matrix in the CONSTANCES cohort. Issue 11 (20th September 2022)
- Main Title:
- Association between COVID-19 infection and work exposure assessed by the Mat-O-Covid job exposure matrix in the CONSTANCES cohort
- Authors:
- Fadel, Marc
Gilbert, Fabien
Legeay, Clément
Dubée, Vincent
Esquirol, Yolande
Verdun-Esquer, Catherine
Dinh, Aurelien
Sembajwe, Grace
Goldberg, Marcel
Roquelaure, Yves
Leclerc, Annette
Wiernik, Emmanuel
Zins, Marie
Descatha, Alexis - Other Names:
- author non-byline.
Descatha Alexis author non-byline.
Fadel Marc author non-byline.
Pitet Sabrina author non-byline.
Gilbert Fabien author non-byline.
Valter Rémi author non-byline.
Verdun-Esquer Catherine author non-byline.
Esquirol Yolande author non-byline.
Legeay Clément author non-byline.
Petit Audrey author non-byline.
Dinh Aurélien author non-byline.
Andujar Pascal author non-byline.
Leclerc Jean-Pierre author non-byline.
Letheux Corinne author non-byline.
Duprat Pascal author non-byline.
Clodoré Brigitte author non-byline.
Cartégnie Sandrine author non-byline.
Dagrenat Céline author non-byline.
Dab William author non-byline.
Clin-Godard Bénédicte author non-byline.
Gehanno Jean-François author non-byline.
Dubée Vincent author non-byline.
Havette Philippe author non-byline. - Abstract:
- 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-2Abstract : 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. … (more)
- Is Part Of:
- Occupational and environmental medicine. Volume 79:Issue 11(2022)
- Journal:
- Occupational and environmental medicine
- Issue:
- Volume 79:Issue 11(2022)
- Issue Display:
- Volume 79, Issue 11 (2022)
- Year:
- 2022
- Volume:
- 79
- Issue:
- 11
- Issue Sort Value:
- 2022-0079-0011-0000
- Page Start:
- 782
- Page End:
- 789
- Publication Date:
- 2022-09-20
- Subjects:
- Epidemiology -- COVID-19 -- Occupational Health -- Public health
Medicine, Industrial -- Periodicals
Environmental health -- Periodicals
616.980305 - Journal URLs:
- http://oem.bmj.com/ ↗
http://www.jstor.org/journals/13510711.html ↗
http://www.pubmedcentral.nih.gov/tocrender.fcgi?journal=172&action=archive ↗
http://www.bmj.com/archive ↗ - DOI:
- 10.1136/oemed-2022-108436 ↗
- Languages:
- English
- ISSNs:
- 1351-0711
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
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- 24055.xml