Sickness absence among privately employed white-collar workers during the COVID-19 pandemic; a prospective cohort study
Abstract Background The COVID-19 pandemic brought with it several changes, both regarding infection with COVID-19 itself as well as measures to combat the spread of infection, that might have affected sickness absence (SA) patterns. The aim was to explore whether incidence and length of SA changed b...
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BMC
2025-02-01
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| Online Access: | https://doi.org/10.1186/s12889-025-21566-1 |
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| author | Kristin Farrants Mira Müller Kristina Alexanderson |
| author_facet | Kristin Farrants Mira Müller Kristina Alexanderson |
| author_sort | Kristin Farrants |
| collection | DOAJ |
| description | Abstract Background The COVID-19 pandemic brought with it several changes, both regarding infection with COVID-19 itself as well as measures to combat the spread of infection, that might have affected sickness absence (SA) patterns. The aim was to explore whether incidence and length of SA changed between 2019, 2020, and 2021, as well as to determine factors associated with SA due to COVID-19 or COVID-like diagnoses among privately employed white-collar workers. Methods A cohort of all privately employed white-collar workers in 2018 in Sweden (n = 1 347 778; 47% women) was followed prospectively during 2019, 2020, and 2021 using linked nationwide register data. We calculated numbers and proportions of people with incident SA (in SA spells > 14 days) due to COVID-19, COVID-like diagnoses (certain respiratory, infectious, and symptom-based diagnoses used in the beginning of the pandemic for suspected COVID-19), and all other SA, respectively, and mean number of SA days with somatic and mental diagnoses. Logistic regression was used to determine odds ratios (OR) and 95% confidence intervals for associations between prior diagnosis-specific SA, sociodemographic and work-related factors and incident SA due to COVID-19 or COVID-like diagnoses. Results In 2020, 0.6% of the women and 0.3% of the men had incident SA due to COVID-19. For SA with COVID-like diagnoses, the corresponding proportions were 1.2% and 0.5%. The proportion of people with all other SA was stable across the years, at 8.1–8.4% for women and 3.7–3.9% for men. The mean number of SA days per person increased each year for somatic diagnoses but for mental diagnoses it decreased from 2019 to 2020 and increased to 2021 among women and men. Factors associated most strongly with incident SA due to COVID-19 or COVID-like diagnoses were low income (adjusted OR-range 1.36–5.67 compared to the highest income group) and prior SA due to COVID-like diagnoses (OR-range 4.67–5.31 compared to those with no such prior SA). Conclusions A small proportion of privately-employed white-collar workers had incident SA spells > 14 days due to COVID-19 or COVID-like diagnoses. The factors associated with SA due to COVID-19 were similar to factors associated with SA due to other diagnoses in previous studies. |
| format | Article |
| id | doaj-art-700d3e9e435c4bfa8e48171af20d1f0c |
| institution | DOAJ |
| issn | 1471-2458 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Public Health |
| spelling | doaj-art-700d3e9e435c4bfa8e48171af20d1f0c2025-08-20T02:43:16ZengBMCBMC Public Health1471-24582025-02-0125111410.1186/s12889-025-21566-1Sickness absence among privately employed white-collar workers during the COVID-19 pandemic; a prospective cohort studyKristin Farrants0Mira Müller1Kristina Alexanderson2Division of Insurance Medicine, Department of Clinical Neuroscience, Karolinska InstitutetDivision of Insurance Medicine, Department of Clinical Neuroscience, Karolinska InstitutetDivision of Insurance Medicine, Department of Clinical Neuroscience, Karolinska InstitutetAbstract Background The COVID-19 pandemic brought with it several changes, both regarding infection with COVID-19 itself as well as measures to combat the spread of infection, that might have affected sickness absence (SA) patterns. The aim was to explore whether incidence and length of SA changed between 2019, 2020, and 2021, as well as to determine factors associated with SA due to COVID-19 or COVID-like diagnoses among privately employed white-collar workers. Methods A cohort of all privately employed white-collar workers in 2018 in Sweden (n = 1 347 778; 47% women) was followed prospectively during 2019, 2020, and 2021 using linked nationwide register data. We calculated numbers and proportions of people with incident SA (in SA spells > 14 days) due to COVID-19, COVID-like diagnoses (certain respiratory, infectious, and symptom-based diagnoses used in the beginning of the pandemic for suspected COVID-19), and all other SA, respectively, and mean number of SA days with somatic and mental diagnoses. Logistic regression was used to determine odds ratios (OR) and 95% confidence intervals for associations between prior diagnosis-specific SA, sociodemographic and work-related factors and incident SA due to COVID-19 or COVID-like diagnoses. Results In 2020, 0.6% of the women and 0.3% of the men had incident SA due to COVID-19. For SA with COVID-like diagnoses, the corresponding proportions were 1.2% and 0.5%. The proportion of people with all other SA was stable across the years, at 8.1–8.4% for women and 3.7–3.9% for men. The mean number of SA days per person increased each year for somatic diagnoses but for mental diagnoses it decreased from 2019 to 2020 and increased to 2021 among women and men. Factors associated most strongly with incident SA due to COVID-19 or COVID-like diagnoses were low income (adjusted OR-range 1.36–5.67 compared to the highest income group) and prior SA due to COVID-like diagnoses (OR-range 4.67–5.31 compared to those with no such prior SA). Conclusions A small proportion of privately-employed white-collar workers had incident SA spells > 14 days due to COVID-19 or COVID-like diagnoses. The factors associated with SA due to COVID-19 were similar to factors associated with SA due to other diagnoses in previous studies.https://doi.org/10.1186/s12889-025-21566-1Sick leaveCOVID-19White-collar workersPrivate sectorProspective cohort |
| spellingShingle | Kristin Farrants Mira Müller Kristina Alexanderson Sickness absence among privately employed white-collar workers during the COVID-19 pandemic; a prospective cohort study BMC Public Health Sick leave COVID-19 White-collar workers Private sector Prospective cohort |
| title | Sickness absence among privately employed white-collar workers during the COVID-19 pandemic; a prospective cohort study |
| title_full | Sickness absence among privately employed white-collar workers during the COVID-19 pandemic; a prospective cohort study |
| title_fullStr | Sickness absence among privately employed white-collar workers during the COVID-19 pandemic; a prospective cohort study |
| title_full_unstemmed | Sickness absence among privately employed white-collar workers during the COVID-19 pandemic; a prospective cohort study |
| title_short | Sickness absence among privately employed white-collar workers during the COVID-19 pandemic; a prospective cohort study |
| title_sort | sickness absence among privately employed white collar workers during the covid 19 pandemic a prospective cohort study |
| topic | Sick leave COVID-19 White-collar workers Private sector Prospective cohort |
| url | https://doi.org/10.1186/s12889-025-21566-1 |
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