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Impact of pre-pande...
Impact of pre-pandemic sick leave diagnoses on the length of COVID-19-related sick leave: a nationwide registry-based study
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- Abzhandadze, Tamar, 1980 (författare)
- Karolinska Institutet,Gothenburg University,Göteborgs universitet,Institutionen för neurovetenskap och fysiologi,Institute of Neuroscience and Physiology
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- 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
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- Persson, Hanna C, 1979 (författare)
- Gothenburg University,Göteborgs universitet,Institutionen för neurovetenskap och fysiologi,Institute of Neuroscience and Physiology
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(creator_code:org_t)
- 2023-01-29
- 2023
- Engelska.
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Ingår i: Bmc Public Health. - : Springer Science and Business Media LLC. - 1471-2458. ; 23:1
- Relaterad länk:
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https://gup.ub.gu.se...
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https://doi.org/10.1...
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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)
- art (ämneskategori)
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