ArticleBMC public health2020
Sickness absence trajectories following labour market participation patterns: a cohort study in Catalonia (Spain), 2012-2014.
Article in BMC public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 5 papers.
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5 citing papers in PubMed.
- Concurrent trajectories of occupational groups and sustainable working life-a Swedish twin cohort study over 16 years.Industrial health · 2025Article
- Concurrent trajectories of residential region in relation to a sustainable working life among Swedish twins.European journal of public health · 2023Article
- Identifying labour market pathways after a 30-day-long sickness absence -a three-year sequence analysis study in Finland.BMC public health · 2023Article
- Methodological considerations in establishing and maintaining longitudinal health workforce studies: Lessons learned from the WiSDOM cohort in South Africa.Global health action · 2021Article
- Correction to: Sickness absence trajectories following labour market participation patterns: a cohort study in Catalonia (Spain), 2012-2014.BMC public health · 2020Article
Corrections and comments
- Erratum issued
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4 authors.
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Abstract
backgroundPrevious studies have focused on the relationship between employment pathways and health-related outcomes based on cross-sectional or longitudinal approaches. However, little is known about the cumulative effects of employment status mobility on sickness absence (SA) over time. The aim of the present study was to examine the association between prior labour market participation (LMP) patterns and SA trajectories from a life-course perspective.
methodsThis cohort study was based on a sample of 11,968 salaried workers living in Catalonia and affiliated with the Spanish Social Security system, who accumulated more than 15 days on SA in at least one quarter during 2012-2014. Individuals were grouped into three different working life stages: early (18-25 years), middle (26-35 years), and late (36-45 years). To identify LMP patterns, we applied sequence analysis and cluster analysis (2002-2011), and we used latent class growth modelling to identify SA trajectories (2012-2014). Finally, we applied multinomial logistic regression models to assess the relationship between LMP patterns and SA trajectories.
resultsThe analyses yielded six LMP patterns: stable employment (value range: 63-81%), increasing employment (5-22%), without long-term coverage (7-8%), decreasing employment (4-10%), fluctuant employment (13-14%), and steeply decreasing employment (7-9%). We also identified four SA trajectories: low stable (83-88%), decreasing (5-9%), increasing (5-11%), and high stable (7-16%). However, the only significant association we identified for LMP patterns and SA trajectories was among young men, for whom an increasing employment pattern was significantly associated with a lower risk for increased days on SA (adjusted odds ratio: 0.21; 95% confidence interval: 0.05-0.96).
conclusionsSA trajectories are generally not related to prior 10-year LMP patterns at any stage of working life. To disentangle this relationship, future research might benefit from considering working life transitions with a quality-of-work approach framed with contextual factors closer to the SA course.
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