ArticleBMC public health2022
Trajectories of sickness absence and disability pension days among 189,321 white-collar workers in the trade and retail industry; a 7-year longitudinal Swedish cohort study.
Article in BMC public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Trajectories of sickness absence in healthcare workers: a cohort study in a Spanish hospital between 2018 and 2023.BMC health services research · 2026Article
- Sickness absence trajectories and retirement pathways among industrial workers.European journal of public health · 2025Article
- Mapping dynamic working life patterns and the impact of occupational exposures: a scoping review.BMC public health · 2025Article
- Trajectories of work disability and unemployment before and after a common mental disorder diagnosis among young private sector employees in Sweden-a register-based longitudinal study.Social psychiatry and psychiatric epidemiology · 2025Article
- Sickness absence among privately employed white-collar workers during the COVID-19 pandemic; a prospective cohort study.BMC public health · 2025Article
- Article
- Long-term sickness absence trajectories among ageing municipal employees - the contribution of social and health-related factors.BMC public health · 2023Article
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2 authors.
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Abstract
objective1) identify different trajectories of annual mean number of sickness absence (SA) and disability pension (DP) days among privately employed white-collar workers in the trade and retail industries and 2) investigate if sociodemographic and work-related characteristics were associated with trajectory membership.
methodsA longitudinal population-based cohort register study of all white-collar workers in the trade and retail industry in 2012 in Sweden (N = 189,321), with SA and DP data for 2010-2016. Group-based trajectory analysis was used to identify groups of individuals who followed similar trajectories of SA/DP days. Multinomial logistic regression was used to determine associations between sociodemographic and work-related factors and trajectory membership.
resultsWe identified four trajectories of SA/DP days. Most individuals (73%) belonged to the trajectory with 0 days during all seven years, followed by a trajectory of few days each year (24%). Very small minorities belonged to a trajectory with increasing SA/DP days (1%) or to constantly high SA/DP (2%). Men had a lower risk of belonging to any of the three trajectories with SA/DP than women (OR Low SA/DP 0.42, 95% CI 0.41-0.44; Increasing SA/DP 0.34, 0.30-0.38; High SA/DP 0.33, 0.29-0.37). Individuals in occupations with low job control had a higher risk of belonging to the trajectory High SA/DP (OR low demands/low control 1.51; 95% CI 1.25-1.83; medium demands/low control 1.47, 1.21-1.78; high demands/low control 1.35, 1.13-1.61).
conclusionMost white-collar belonged to trajectories with no or low SA/DP. Level of job control was more strongly associated with trajectory memberships than level of job demands.
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