ArticleBMJ open2023
Sequence analysis of sickness absence and disability pension days in 2012-2018 among privately employed white-collar workers in Sweden: a prospective cohort study.
Article in BMJ open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Sickness absence among blue-collar workers in the retail and wholesale industry during the COVID-19 pandemic; a longitudinal cohort study.Scientific reports · 2025Article
- Long-term sickness absences based on mental disorders by socioeconomic group - trends of prevalence in Finland 2010-2023.BMC public health · 2025Article
- Sickness absence among privately employed white-collar workers during the COVID-19 pandemic; a prospective cohort study.BMC public health · 2025Article
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Authors and funding
3 authors.
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Abstract
objectiveThe aim of the study is to explore sequences of sickness absence (SA) and disability pension (DP) days from 2012 to 2018 among privately employed white-collar workers.
designA 7-year prospective cohort study using microdata from nationwide registers.
settingSweden.
participantsAll 1 283 516 privately employed white-collar workers in Sweden in 2012 aged 18-67.
methodsSequence analysis was used to describe clusters of individuals who followed similar development of SA and DP net days/year, and multinomial logistic regression to analyse associations between sociodemographic variables and belonging to each observed cluster of sequences. Odds ratios (ORs) and 95% confidence intervals (CIs) were adjusted for baseline sociodemographics.
resultsWe identified five clusters of SA and DP sequences: (1) 'low or no SA or DP' (88.7% of the population), (2) 'SA due to other than mental diagnosis' (5.2%), (3) 'SA due to mental diagnosis' (3.4%), (4) 'not eligible for SA or DP' (1.4%) and (5) 'DP' (1.2%). Men, highly educated, born outside Sweden and high-income earners were more likely to belong to the first and the fourth cluster (ORs 1.13-4.49). The second, third and fifth clusters consisted mainly of women, low educated and low-income (ORs 1.22-8.90). There were only small differences between branches of industry in adjusted analyses, and many were not significant.
conclusionIn general, only a few privately employed white-collar workers had SA and even fewer had DP during the 7-year follow-up. The risk of belonging to a cluster characterised by SA or DP varied by sex, levels of education and income, and other sociodemographic factors.
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