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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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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
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author Suur-Uski, Johanna
Pietiläinen, Olli
Salonsalmi, Aino
Pekkala, Johanna
Fagerlund, Pi
Rahkonen, Ossi
Lallukka, Tea
author_facet Suur-Uski, Johanna
Pietiläinen, Olli
Salonsalmi, Aino
Pekkala, Johanna
Fagerlund, Pi
Rahkonen, Ossi
Lallukka, Tea
author_sort Suur-Uski, Johanna
collection PubMed
description 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.
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spelling pubmed-103732432023-07-28 Long-term sickness absence trajectories among ageing municipal employees – the contribution of social and health-related factors Suur-Uski, Johanna Pietiläinen, Olli Salonsalmi, Aino Pekkala, Johanna Fagerlund, Pi Rahkonen, Ossi Lallukka, Tea BMC Public Health Research 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. BioMed Central 2023-07-26 /pmc/articles/PMC10373243/ /pubmed/37495983 http://dx.doi.org/10.1186/s12889-023-16345-9 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Suur-Uski, Johanna
Pietiläinen, Olli
Salonsalmi, Aino
Pekkala, Johanna
Fagerlund, Pi
Rahkonen, Ossi
Lallukka, Tea
Long-term sickness absence trajectories among ageing municipal employees – the contribution of social and health-related factors
title Long-term sickness absence trajectories among ageing municipal employees – the contribution of social and health-related factors
title_full Long-term sickness absence trajectories among ageing municipal employees – the contribution of social and health-related factors
title_fullStr Long-term sickness absence trajectories among ageing municipal employees – the contribution of social and health-related factors
title_full_unstemmed Long-term sickness absence trajectories among ageing municipal employees – the contribution of social and health-related factors
title_short Long-term sickness absence trajectories among ageing municipal employees – the contribution of social and health-related factors
title_sort long-term sickness absence trajectories among ageing municipal employees – the contribution of social and health-related factors
topic Research
url 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
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