Sickness absence trajectories following labour market participation patterns: a cohort study in Catalonia (Spain), 2012–2014
Abstract 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. T...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
BMC
2020-08-01
|
| Series: | BMC Public Health |
| Subjects: | |
| Online Access: | http://link.springer.com/article/10.1186/s12889-020-09396-9 |
| _version_ | 1819072236254920704 |
|---|---|
| author | Julio C. Hernando-Rodriguez Laura Serra Fernando G. Benavides Monica Ubalde-Lopez |
| author_facet | Julio C. Hernando-Rodriguez Laura Serra Fernando G. Benavides Monica Ubalde-Lopez |
| author_sort | Julio C. Hernando-Rodriguez |
| collection | DOAJ |
| description | Abstract 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. |
| first_indexed | 2024-12-21T17:34:31Z |
| format | Article |
| id | doaj.art-b86b0f1db2544a17b67a1ca38b2587ca |
| institution | Directory Open Access Journal |
| issn | 1471-2458 |
| language | English |
| last_indexed | 2024-12-21T17:34:31Z |
| publishDate | 2020-08-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Public Health |
| spelling | doaj.art-b86b0f1db2544a17b67a1ca38b2587ca2022-12-21T18:55:49ZengBMCBMC Public Health1471-24582020-08-0120111610.1186/s12889-020-09396-9Sickness absence trajectories following labour market participation patterns: a cohort study in Catalonia (Spain), 2012–2014Julio C. Hernando-Rodriguez0Laura Serra1Fernando G. Benavides2Monica Ubalde-Lopez3Center for Research in Occupational Health (CiSAL), Pompeu Fabra UniversityGRECS-Research Group on Statistics, Econometrics and Health, Faculty of Economics and Business, University of Girona (UdG)Center for Research in Occupational Health (CiSAL), Pompeu Fabra UniversityBarcelona Institute for Global Health (ISGlobal)Abstract 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.http://link.springer.com/article/10.1186/s12889-020-09396-9Working life transitionLife courseSick leave |
| spellingShingle | Julio C. Hernando-Rodriguez Laura Serra Fernando G. Benavides Monica Ubalde-Lopez Sickness absence trajectories following labour market participation patterns: a cohort study in Catalonia (Spain), 2012–2014 BMC Public Health Working life transition Life course Sick leave |
| title | Sickness absence trajectories following labour market participation patterns: a cohort study in Catalonia (Spain), 2012–2014 |
| title_full | Sickness absence trajectories following labour market participation patterns: a cohort study in Catalonia (Spain), 2012–2014 |
| title_fullStr | Sickness absence trajectories following labour market participation patterns: a cohort study in Catalonia (Spain), 2012–2014 |
| title_full_unstemmed | Sickness absence trajectories following labour market participation patterns: a cohort study in Catalonia (Spain), 2012–2014 |
| title_short | Sickness absence trajectories following labour market participation patterns: a cohort study in Catalonia (Spain), 2012–2014 |
| title_sort | sickness absence trajectories following labour market participation patterns a cohort study in catalonia spain 2012 2014 |
| topic | Working life transition Life course Sick leave |
| url | http://link.springer.com/article/10.1186/s12889-020-09396-9 |
| work_keys_str_mv | AT juliochernandorodriguez sicknessabsencetrajectoriesfollowinglabourmarketparticipationpatternsacohortstudyincataloniaspain20122014 AT lauraserra sicknessabsencetrajectoriesfollowinglabourmarketparticipationpatternsacohortstudyincataloniaspain20122014 AT fernandogbenavides sicknessabsencetrajectoriesfollowinglabourmarketparticipationpatternsacohortstudyincataloniaspain20122014 AT monicaubaldelopez sicknessabsencetrajectoriesfollowinglabourmarketparticipationpatternsacohortstudyincataloniaspain20122014 |