HERNANDO-RODRÍGUEZ, Julio César (2020); SERRA SAURINA, Laura; GARCÍA BENAVIDES, Fernando; UBALDE-LÓPEZ, Mónica. Sickness absence trajectories following labour market participation patterns: a cohort study in Catalonia (Spain), 2012–2014 - INVASSAT
Atrás HERNANDO-RODRÍGUEZ, Julio César (2020); SERRA SAURINA, Laura; GARCÍA BENAVIDES, Fernando; UBALDE-LÓPEZ, Mónica. Sickness absence trajectories following labour market participation patterns: a cohort study in Catalonia (Spain), 2012–2014
HERNANDO-RODRÍGUEZ, Julio César (2020); SERRA SAURINA, Laura; GARCÍA BENAVIDES, Fernando; UBALDE-LÓPEZ, Mónica. Sickness absence trajectories following labour market participation patterns: a cohort study in Catalonia (Spain), 2012–2014
HERNANDO-RODRÍGUEZ, Julio César; SERRA SAURINA, Laura; GARCÍA BENAVIDES, Fernando; UBALDE-LÓPEZ, Mónica. Sickness absence trajectories following labour market participation patterns: a cohort study in Catalonia (Spain), 2012–2014. BMC Public Health [en línea]. 2020, 20, 1306. 16 p. [Consulta: 07.10.2020]. ISSN: 1471-2458. DOI: 10.1186/s12889-020-09396-9.
El objetivo del presente estudio es examinar la asociación entre los patrones de participación previa en el mercado laboral y las trayectorias de "Sickness Absence"(absentismo laboral por enfermedad) desde una perspectiva de ciclo de vida. Este estudio de cohorte se basó en una muestra de 11.968 trabajadores asalariados residentes en Cataluña y afiliados a la Seguridad Social española, que acumularon más de 15 días en absentismo laboral en al menos un trimestre durante 2012-2014. Los individuos se agruparon en tres etapas diferentes de la vida laboral: temprana (18-25 años), media (26-35 años) y tardía (36-45 años). Conclusiones: Las trayectorias generalmente no están relacionadas con los patrones de participación en el mercado laboral de 10 años anteriores en ninguna etapa de la vida laboral. Para desenredar esta relación, la investigación futura podría beneficiarse al considerar las transiciones de la vida laboral con un enfoque de calidad del trabajo enmarcado con factores contextuales más cercanos al curso de absentismo laboral por enfermedad.
L'objectiu del present estudi és examinar l'associació entre els patrons de participació prèvia en el mercat laboral i les trajectòries de "Sickness Absence"(absentisme laboral per malaltia) des d'una perspectiva de cicle de vida. Aquest estudi de cohort es va basar en una mostra de 11.968 treballadors assalariats residents a Catalunya i afiliats a la Seguretat Social espanyola, que van acumular més de 15 dies en absentisme laboral en almenys un trimestre durant 2012-2014. Els individus es van agrupar en tres etapes diferents de la vida laboral: primerenca (18-25 anys), mitjana (26-35 anys) i tardana (36-45 anys). Conclusions: Les trajectòries generalment no estan relacionades amb els patrons de participació en el mercat laboral de 10 anys anteriors en cap etapa de la vida laboral. Per a desembolicar aquesta relació, la investigació futura podria beneficiar-se en considerar les transicions de la vida laboral amb un enfocament de qualitat del treball emmarcat amb factors contextuals més pròxims al curs d'absentisme laboral per malaltia.
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.
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