4.6 Article

Patterns and predictors of sick leave after Covid-19 and long Covid in a national Swedish cohort

Journal

BMC PUBLIC HEALTH
Volume 21, Issue 1, Pages -

Publisher

BMC
DOI: 10.1186/s12889-021-11013-2

Keywords

Covid-19; SARS-CoV2; Sick leave; Long Covid; Follow-up

Funding

  1. Swedish government [ALF 73750, ALF 71980]
  2. Swedish county councils [ALF 73750, ALF 71980]
  3. AFA Insurance [AFA 200324]
  4. Forte/Formas [2020-02775]
  5. Vastragotaland region [VGFOUREG-940508]
  6. University of Gothenburg

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A comprehensive national registry-based study in Sweden investigated sick-leave patterns after Covid-19, revealing a substantial number of people on sick leave due to the virus. The study found that sick leave for long Covid was common, especially among those who required inpatient care for Covid-19. Age, prior sick leave, and severity of Covid-19 were identified as predictors of longer sick leave, while no clear socioeconomic factors were found to predict longer sick leave duration.
Background The impact of Covid-19 and its long-term consequences is not yet fully understood. Sick leave can be seen as an indicator of health in a working age population, and the present study aimed to investigate sick-leave patterns after Covid-19, and potential factors predicting longer sick leave in hospitalised and non-hospitalised people with Covid-19. Methods The present study is a comprehensive national registry-based study in Sweden with a 4-month follow-up. All people who started to receive sickness benefits for Covid-19 during March 1 to August 31, 2020, were included. Predictors of sick leave >= 1 month and long Covid (>= 12 weeks) were analysed with logistic regression in the total population and in separate models depending on inpatient care due to Covid-19. Results A total of 11,955 people started sick leave for Covid-19 within the inclusion period. The median sick leave was 35 days, 13.3% were on sick leave for long Covid, and 9.0% remained on sick leave for the whole follow-up period. There were 2960 people who received inpatient care due to Covid-19, which was the strongest predictor of longer sick leave. Sick leave the year prior to Covid-19 and older age also predicted longer sick leave. No clear pattern of socioeconomic factors was noted. Conclusions A substantial number of people are on sick leave due to Covid-19. Sick leave may be protracted, and sick leave for long Covid is quite common. The severity of Covid-19 (needing inpatient care), prior sick leave, and age all seem to predict the likelihood of longer sick leave. However, no socioeconomic factor could clearly predict longer sick leave, indicating the complexity of this condition. The group needing long sick leave after Covid-19 seems to be heterogeneous, indicating a knowledge gap.

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