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Long-term sickness absence trajectories among ageing municipal employees – the contribution of social and health-related factors

BACKGROUND: The 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. METHODS: Data comprise...

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Detalles Bibliográficos
Autores principales: Suur-Uski, Johanna, Pietiläinen, Olli, Salonsalmi, Aino, Pekkala, Johanna, Fagerlund, Pi, Rahkonen, Ossi, Lallukka, Tea
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10373243/
https://www.ncbi.nlm.nih.gov/pubmed/37495983
http://dx.doi.org/10.1186/s12889-023-16345-9
Descripción
Sumario:BACKGROUND: The 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. METHODS: Data 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). RESULTS: A 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. CONCLUSIONS: Most 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-023-16345-9.