Employment outcomes of people with Long Covid symptoms: community-based cohort study
Background Evidence on the long-term employment consequences of SARS-CoV-2 infection is lacking. We used data from a large, community-based sample in the UK to estimate associations between Long Covid and employment outcomes. Methods This was an observational, longitudinal study using a pre–post design. We included survey participants from 3 February 2021 to 30 September 2022 when they were aged 16–64 years and not in education. Using conditional logit modelling, we explored the time-varying relationship between Long Covid status ≥12 weeks after a first test-confirmed SARS-CoV-2 infection (reference: pre-infection) and labour market inactivity (neither working nor looking for work) or workplace absence lasting ≥4 weeks. Results Of 206 299 participants (mean age 45 years, 54% female, 92% white), 15% were ever labour market inactive and 10% were ever long-term absent during follow-up. Compared with pre-infection, inactivity was higher in participants reporting Long Covid 30 to <40 weeks [adjusted odds ratio (aOR): 1.45; 95% CI: 1.17–1.81] or 40 to <52 weeks (aOR: 1.34; 95% CI: 1.05–1.72) post-infection. Combining with official statistics on Long Covid prevalence, and assuming a correct statistical model, our estimates translate to 27 000 (95% CI: 6000–47 000) working-age adults in the UK being inactive because of Long Covid in July 2022. Conclusions Long Covid is likely to have contributed to reduced participation in the UK labour market, though it is unlikely to be the sole driver. Further research is required to quantify the contribution of other factors, such as indirect health effects of the pandemic.
History
Citation
Daniel Ayoubkhani, Francesco Zaccardi, Koen B Pouwels, A Sarah Walker, Donald Houston, Nisreen A Alwan, Josh Martin, Kamlesh Khunti, Vahé Nafilyan, Employment outcomes of people with Long Covid symptoms: community-based cohort study, European Journal of Public Health, 2024;, ckae034Author affiliation
Population Health SciencesVersion
- VoR (Version of Record)
Published in
European Journal of Public HealthPublisher
Oxford University Press (OUP)issn
1101-1262eissn
1464-360XCopyright date
2024Available date
2024-04-17Publisher DOI
Spatial coverage
EnglandLanguage
enPublisher version
Deposited by
Ms Lydia WallmanDeposit date
2024-04-12Data Access Statement
De-identified study data are available to accredited researchers in the ONS Secure Research Service (SRS) under part 5, chapter 5 of the Digital Economy Act 2017. For further information about accreditation, contact research.support@ons.gov.uk or visit: https://www.ons.gov.uk/aboutus/whatwedo/statistics/requestingstatistics/approvedresearcherscheme.Rights Retention Statement
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