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Impact of pre-pandemic sick leave diagnoses on the length of COVID-19-related sick leave: a nationwide registry-based study

Abzhandadze, Tamar, 1980 (författare)
Karolinska Institutet,Gothenburg University,Göteborgs universitet,Institutionen för neurovetenskap och fysiologi,Institute of Neuroscience and Physiology
Westerlind, Emma, 1992 (författare)
Gothenburg University,Göteborgs universitet,Institutionen för neurovetenskap och fysiologi, sektionen för klinisk neurovetenskap,Institute of Neuroscience and Physiology, Department of Clinical Neuroscience
Persson, Hanna C, 1979 (författare)
Gothenburg University,Göteborgs universitet,Institutionen för neurovetenskap och fysiologi,Institute of Neuroscience and Physiology
 (creator_code:org_t)
2023-01-29
2023
Engelska.
Ingår i: Bmc Public Health. - : Springer Science and Business Media LLC. - 1471-2458. ; 23:1
  • Tidskriftsartikel (refereegranskat)
Abstract Ämnesord
Stäng  
  • Background: The COVID-19 pandemic has caused difficulties and changes in many aspects of people’s health and lives. Although infection affected work capacity, during the first wave policies for sick leave due to COVID-19 were unclear. The aim of this study was to investigate the impact of sick leave diagnoses in the year before the COVID-19 diagnosis on sick leave duration due to COVID-19 in a nationwide non-hospitalised population. Methods: Data from three Swedish registries were analysed for sick leave commencing between 1 March and 31 August 2020, with a follow-up period of 4months. Sick leave due to COVID-19 was considered the number of days that sickness benefits were used and included at least one registered COVID-19 diagnosis. Sick leave in the year before COVID-19 diagnosis were categorised into five diagnostic groups and one reference group (participants without prior sick leave). Results: The study comprised 8935individuals who received sickness benefits due to COVID-19 in Sweden during the first pandemic wave (mean age 46.7years, 67% females, and 24% had diagnoses for sick leave in the year before COVID-19diagnosis). The duration of sick leave due to COVID-19 was significantly higher in the groups with prior sick leave owing to musculoskeletal system diseases (odds ratio [OR]: 1.08, 95% confidence interval [CI]: 1.01–1.15); respiratory system diseases (OR: 1.22, 95% CI: 1.14–1.31); all other isolated diagnoses (OR: 1.08, 95% CI: 1.03–1.14); and multiple diagnoses (OR: 1.32, 95% CI: 1.21–1.43). Conclusions: The results of this nationwide registry-based study indicate that individuals with premorbid conditions are more prone to longer sick leave durations due to COVID-19. Prediction of sick leave duration during the first wave of the COVID-19 pandemic is complex and several factors played a role. © 2023, The Author(s).

Ämnesord

MEDICIN OCH HÄLSOVETENSKAP  -- Medicinska och farmaceutiska grundvetenskaper -- Neurovetenskaper (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Basic Medicine -- Neurosciences (hsv//eng)

Nyckelord

Epidemiology
Registry-based study
Return to work
SARS-CoV-2 infection
Sick leave
female
human
male
medical leave
middle aged
pandemic
register
Sweden
COVID-19
COVID-19 Testing
Humans
Pandemics
Registries

Publikations- och innehållstyp

ref (ämneskategori)
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