A hybrid register and questionnaire study of Covid-19 and post-acute sick leave in Denmark.

Autor: O'Regan E; Department of Epidemiology Research, Statens Serum Institut, 2300, Copenhagen S, Denmark. eior@ssi.dk., Svalgaard IB; Department of Epidemiology Research, Statens Serum Institut, 2300, Copenhagen S, Denmark., Sørensen AIV; Infectious Disease Epidemiology and Prevention, Statens Serum Institut, 2300, Copenhagen S, Denmark., Spiliopoulos L; Department of Epidemiology Research, Statens Serum Institut, 2300, Copenhagen S, Denmark., Bager P; Department of Epidemiology Research, Statens Serum Institut, 2300, Copenhagen S, Denmark., Nielsen NM; Department of Epidemiology Research, Statens Serum Institut, 2300, Copenhagen S, Denmark.; Focused Research Unit in Neurology, Department of Neurology, Hospital of Southern Jutland, University of Southern Denmark, 6200, Aabenraa, Denmark., Hansen JV; Department of Epidemiology Research, Statens Serum Institut, 2300, Copenhagen S, Denmark., Koch A; Infectious Disease Epidemiology and Prevention, Statens Serum Institut, 2300, Copenhagen S, Denmark.; Department of Public Health, Global Health Section, University of Copenhagen, Copenhagen, Denmark.; Department of Infectious Diseases, Rigshospitalet University Hospital, 2100, Copenhagen Ø, Denmark., Ethelberg S; Infectious Disease Epidemiology and Prevention, Statens Serum Institut, 2300, Copenhagen S, Denmark.; Department of Public Health, Global Health Section, University of Copenhagen, Copenhagen, Denmark., Hviid A; Department of Epidemiology Research, Statens Serum Institut, 2300, Copenhagen S, Denmark.; Pharmacovigilance Research Center, Department of Drug Design and Pharmacology, University of Copenhagen, 2100, Copenhagen Ø, Denmark.
Jazyk: angličtina
Zdroj: Nature communications [Nat Commun] 2023 Oct 07; Vol. 14 (1), pp. 6266. Date of Electronic Publication: 2023 Oct 07.
DOI: 10.1038/s41467-023-42048-1
Abstrakt: Post-acute sick leave is an underexplored indicator of the societal burden of SARS-CoV-2. Here,  we report findings about self-reported sick leave and risk factors thereof from a hybrid survey and register study, which include 37,482 RT-PCR confirmed SARS-CoV-2 cases and 51,336 test-negative controls who were tested during the index- and alpha-dominant waves. We observe that an additional 33 individuals per 1000 took substantial sick leave following acute infection compared to persons with no known history of infection, where substantial sick leave is defined as >1 month of sick leave within the period 1-9 months after the RT-PCR test date. Being female, 50-65 years, or having certain pre-existing health conditions such as obesity, chronic lung diseases, and fibromyalgia each increase risk for taking substantial sick leave. Altogether, these results may help motivate improved diagnostic and treatment options for persons living with post-Covid conditions.
(© 2023. Springer Nature Limited.)
Databáze: MEDLINE