{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,9]],"date-time":"2026-10-09T14:59:53Z","timestamp":1791557993640,"version":"4.3.4"},"reference-count":35,"publisher":"BMJ","issue":"12","content-domain":{"domain":["bmj.com"],"crossmark-restriction":true},"short-container-title":["Occup Environ Med"],"accepted":{"date-parts":[[2025,11,10]]},"published-print":{"date-parts":[[2025,12]]},"abstract":"<jats:sec>\n                    <jats:title>Objectives<\/jats:title>\n                    <jats:p>Occupational factors affect SARS-CoV-2 infection risk, but the occupational factors associated with Long COVID (LC) are unknown. We aimed to address this issue using individual data in a population-based cohort.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>In the prospective COVICAT study, 2020\u20132023, Catalonia, Spain, we examined the association between occupational determinants and LC. Among subjects with previous SARS-CoV-2 infection, those employed in the pandemic and with occupational information were analysed. Different metrics, including four job-exposure matrices, were used to evaluate individual occupational risk factors for LC (postinfection symptoms \u22653\u2009months). Poisson models were used to estimate adjusted risk ratios (RRs) and 95% CIs.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Among 2054 workers (1308\u2009women, 746 men) aged 40\u201369 years, 486 developed LC (23.7%). Workers in jobs at high COVID-19 risk according to all metrics including health\/social care, education, retail, transport and security showed higher LC risk. The main drivers of increased risk were close contact with colleagues and the public (RR up to 1.50; 95% CI 1.18 to 1.91), no social distance at workplace (up to 1.46; 95% CI 1.16 to 1.84), rare or no use of facemask (1.41; 95% CI 1.09 to 1.83) and commute by public transport (1.58; 95% CI 1.20 to 2.08). Working on-site during the pandemic was also associated with a higher LC risk compared with teleworking (1.57; 95% CI 1.19 to 2.09). Individual non-occupational risk factors for LC included female sex, comorbidities, obesity, number and severity of acute infections; vaccination and older age were protective.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>In a population-based cohort, several occupational factors increased LC risk. Focused preventive strategies are warranted to avoid the associated public health burden. LC should be recognised and compensated as an occupational disease.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1136\/oemed-2025-110398","type":"journal-article","created":{"date-parts":[[2025,12,8]],"date-time":"2025-12-08T05:30:32Z","timestamp":1765171832000},"page":"579-588","update-policy":"https:\/\/doi.org\/10.1136\/crossmarkpolicy","source":"Crossref","is-referenced-by-count":4,"title":["Occupational determinants of Long COVID in the population-based COVICAT cohort"],"prefix":"10.1136","volume":"82","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8256-2661","authenticated-orcid":false,"given":"Sara","family":"De Matteis","sequence":"first","affiliation":[{"name":"Department of Public Health and Pediatrics, University of Turin, Turin, Italy"},{"name":"NHLI, Imperial College London, London, 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