Related Experiment Video
Updated: Dec 10, 2025

A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data
Published on: December 9, 2015
Sickness absence trajectories following labour market participation patterns: a cohort study in Catalonia (Spain),
Julio C Hernando-Rodriguez1,2,3, Laura Serra4, Fernando G Benavides1,2,3
1Center for Research in Occupational Health (CiSAL), Pompeu Fabra University, Barcelona, Spain.
Background:
Previous 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.
Methods:
This 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.
Results:
The 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).
Conclusions:
SA 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.
More Related Videos
15:00Setup of Consumer Wearable Devices for Exposure and Health Monitoring in Population Studies
Published on: February 3, 2023
11:36Author Spotlight: An Integrated Workflow to Study the Promoter-Centric Spatio-Temporal Genome Architecture in Scarce Cell Populations
Published on: April 21, 2023
Related Concept Videos
Longitudinal Studies
Classification of Illness
An illness is a response to a disease in which the person's level of functioning is changed compared with a previous level. The general classification of illness includes acute and chronic.
Acute illness is severe...
Factors Affecting Illness
For instance, risk factors are connected to illness,...
Longitudinal Research
Applications of Life Tables
Data Collection by Observations
An astronomer viewing the motion and brightness of stars in the sky and recording the data is an example of observational data collection. A botanist recording...