ArticleBMC public health2023
Long-term sickness absence trajectories among ageing municipal employees - the contribution of social and health-related factors.
Article in BMC public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Sickness absence trajectories and retirement pathways among industrial workers.European journal of public health · 2025Article
- Sickness absence trajectories among young and early midlife employees with psychological distress: the contributions of social and health-related factors in a longitudinal register linkage study.International archives of occupational and environmental health · 2025Article
- Associations of depressive symptoms and psychosocial working conditions with sickness absences in a Finnish cohort of 11,495 employees.Preventive medicine reports · 2024Article
- Dual trajectories of short-term and long-term sickness absence and their social- and health-related determinants among women in the public sector.European journal of public health · 2024Article
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe ageing work force is heterogeneous, following distinct development in work ability. This study aims to identify trajectories of long-term sickness absence (SA) in later careers and to examine potentially modifiable factors associated with the development of SA.
methodsData comprised of municipal employees of the city of Helsinki aged 50-60 years during 2004-2018 (N = 4729, 80% women). The developmental trajectories of long-term (> 10 working days) SA were examined with Group-based trajectory modelling (GBTM) using SA records of the Social Insurance Institution of Finland during 2004-2018. All-cause and diagnosis-specific (mental disorder- and musculoskeletal disease-related) SA days were analysed. The association of social and health-related factors with trajectory membership was examined using multinomial logistic regression (odds ratios and 95% confidence intervals).
resultsA model with three trajectories was selected for both all-cause and diagnosis-specific SA. Regarding all-cause long-term SA trajectories, 42% had no long-term SA, 46% had low levels of SA, and 12% had a high rate of SA during follow-up. Lower occupational class, reporting smoking, overweight or obesity, moderate or low leisure-time physical activity, and sleep problems were associated with a higher likelihood of belonging to the trajectory with a high rate of SA in both all-cause and diagnosis-specific models.
conclusionsMost ageing employees have no or little long-term SA. Modifiable factors associated with trajectories with more SA could be targeted when designing and timing interventions in occupational healthcare.
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