Cargando…
Sickness absence trajectories following labour market participation patterns: a cohort study in Catalonia (Spain), 2012–2014
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 o...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7453716/ https://www.ncbi.nlm.nih.gov/pubmed/32854670 http://dx.doi.org/10.1186/s12889-020-09396-9 |
_version_ | 1783575404434423808 |
---|---|
author | Hernando-Rodriguez, Julio C. Serra, Laura Benavides, Fernando G. Ubalde-Lopez, Monica |
author_facet | Hernando-Rodriguez, Julio C. Serra, Laura Benavides, Fernando G. Ubalde-Lopez, Monica |
author_sort | Hernando-Rodriguez, Julio C. |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-7453716 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-74537162020-08-28 Sickness absence trajectories following labour market participation patterns: a cohort study in Catalonia (Spain), 2012–2014 Hernando-Rodriguez, Julio C. Serra, Laura Benavides, Fernando G. Ubalde-Lopez, Monica BMC Public Health Research Article 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. BioMed Central 2020-08-27 /pmc/articles/PMC7453716/ /pubmed/32854670 http://dx.doi.org/10.1186/s12889-020-09396-9 Text en © The Author(s) 2020 Open AccessThis 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/. The Creative Commons Public Domain Dedication waiver (http://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 Article Hernando-Rodriguez, Julio C. Serra, Laura Benavides, Fernando G. Ubalde-Lopez, Monica Sickness absence trajectories following labour market participation patterns: a cohort study in Catalonia (Spain), 2012–2014 |
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 | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7453716/ https://www.ncbi.nlm.nih.gov/pubmed/32854670 http://dx.doi.org/10.1186/s12889-020-09396-9 |
work_keys_str_mv | AT hernandorodriguezjulioc sicknessabsencetrajectoriesfollowinglabourmarketparticipationpatternsacohortstudyincataloniaspain20122014 AT serralaura sicknessabsencetrajectoriesfollowinglabourmarketparticipationpatternsacohortstudyincataloniaspain20122014 AT benavidesfernandog sicknessabsencetrajectoriesfollowinglabourmarketparticipationpatternsacohortstudyincataloniaspain20122014 AT ubaldelopezmonica sicknessabsencetrajectoriesfollowinglabourmarketparticipationpatternsacohortstudyincataloniaspain20122014 |