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. 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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Sickness absence trajectories following labour market participation patterns: a cohort study in Catalonia (Spain), 2012–2014

BMC Public Health ◽

10.1186/s12889-020-09396-9 ◽

2020 ◽

Vol 20 (1) ◽

Cited By ~ 1

Author(s):

Julio C. Hernando-Rodriguez ◽

Laura Serra ◽

Fernando G. Benavides ◽

Monica Ubalde-Lopez

Keyword(s):

Cohort Study ◽

Labour Market ◽

Sickness Absence ◽

Latent Class ◽

Multinomial Logistic Regression ◽

Working Life ◽

Life Course Perspective ◽

Market Participation ◽

Labour Market Participation ◽

The Relationship

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.

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Sickness absence trajectories following labour market participation patterns: a cohort study in Catalonia (Spain), 2012-2014

10.21203/rs.3.rs-18028/v3 ◽

2020 ◽

Author(s):

JC Hernando-Rodriguez ◽

L Serra ◽

FG Benavides ◽

M Ubalde-Lopez

Keyword(s):

Cohort Study ◽

Labour Market ◽

Sickness Absence ◽

Latent Class ◽

Multinomial Logistic Regression ◽

Working Life ◽

Life Course Perspective ◽

Market Participation ◽

Labour Market Participation ◽

The Relationship

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.

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Sickness absence trajectories following labour market participation patterns: a cohort study in Catalonia (Spain), 2012-2014

10.21203/rs.3.rs-18028/v2 ◽

2020 ◽

Author(s):

JC Hernando-Rodriguez ◽

L Serra ◽

FG Benavides ◽

M Ubalde-Lopez

Keyword(s):

Cohort Study ◽

Labour Market ◽

Sickness Absence ◽

Latent Class ◽

Multinomial Logistic Regression ◽

Working Life ◽

Life Course Perspective ◽

Market Participation ◽

Labour Market Participation ◽

The Relationship

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 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 (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 (value range: 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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Sickness absence trajectories following labour market participation patterns: a cohort study in Catalonia (Spain), 2012-2014

10.21203/rs.3.rs-18028/v1 ◽

2020 ◽

Author(s):

JC Hernando-Rodriguez ◽

L Serra ◽

FG Benavides ◽

M Ubalde-Lopez

Keyword(s):

Cohort Study ◽

Labour Market ◽

Sickness Absence ◽

Latent Class ◽

Multinomial Logistic Regression ◽

Working Life ◽

Future Research ◽

Market Participation ◽

Labour Market Participation ◽

The Relationship

Abstract Background Previous studies have investigated 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 present study aims to examine the association between prior labour market participation (LMP) patterns and SA trajectories from a life course perspective.Methods Cohort study based on a sample of 11,968 salaried workers affiliated with the Spanish Social Security system, who accumulated more than 15 days on SA at least in 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). Sequence analysis and cluster analysis were applied to identify LMP patterns (2002-2011). Latent class growth modelling was used to identify SA trajectories (2012-2014). Finally, multinomial logistic regression models were applied to assess the relationship between LMP patterns and SA trajectories.Results First, seven LMP patterns were obtained: stable employment (63%-81%), increasing employment (5%-22%), without long-term coverage (7%-8%), decreasing employment (4%-10%), fluctuant employment (13%-14%), steeply inflow into unemployment (9%), and steeply labour market exit (7%-9%). Second, four SA trajectories were identified: low stable (values range: 83%-88%), decreasing (5%-9%), increasing (5%-11%) and high stable (7%-16%). Third, no significant associations were observed among LMP patterns and SA trajectories, except for young men, where an increasing employment pattern was significantly associated with a lower risk to increase days on SA (aOR: 0.21 [95% CI: 0.04-0.96]).Conclusions SA trajectories are 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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Sickness absence trajectories following labour market participation patterns in Catalonia, 2012-2014

European Journal of Public Health ◽

10.1093/eurpub/ckz187.108 ◽

2019 ◽

Vol 29 (Supplement_4) ◽

Author(s):

J C Hernando-Rodriguez ◽

L Serra-Saurina ◽

F G Benavides ◽

M Ubalde-Lopez

Keyword(s):

Labour Market ◽

Sickness Absence ◽

Latent Class ◽

Multinomial Logistic Regression ◽

Life Stage ◽

Working Life ◽

Market Participation ◽

Future Health ◽

Logistic Regression Models ◽

Labour Market Participation

Abstract Background Working life is characterized by transitions between different employment status which could affect future health status. Previous studies on sickness absence (SA) have focused on risk factors in the workplace; however, there is scarce evidence regarding labour market participation (LMP) patterns. The aim of this study is to examine the association between prior LMP patterns and the course of SA. Methods Cohort study based on a sample of 11,968 salaried workers affiliated with the Spanish Social Security system, living in Catalonia, who accumulated more than 15 days on SA at least in one quarter during 2012-2014, from three working life cohorts according to the working life stage in 2002: early (18-25 years), middle (26-35 years) and late (36-45 years). Sequence analysis was used to identify LMP patterns (2002-2011). Latent class growth analysis was applied to identify SA trajectories (2012-2014). Finally, crude and adjusted odds ratios (aOR) were estimated using multinomial logistic regression models. Results Overall, four SA trajectories were identified: low stable (83%-88% of the workers), decreasing (5%-9%), increasing (5%-11%) and high stable (7%-16%) accumulated days on SA, for men and women. Similarly, seven LMP patterns were obtained: stable employment (63%-81%), increasing employment (5%-22%), delayed employment (7%-8%), decreasing employment (4%-10%), varying employment (13%-14%), steeply decreasing employment (9%), and steeply labour market exit (8%). No significant associations were observed among LMP patterns and SA trajectories, except for young men, where an increasing employment pattern was significantly associated with a lower risk to increase days on SA over time (aOR: 0.21 [95% CI: 0.04-0.96]). Conclusions A prior 10 years of LMP pattern does not seem to show an effect on the course of SA. A closer working life to the SA course could be considered to assess this relationship. Funding: Grants FIS PI17/00220 and PI14/00057 Key messages A longitudinally approach is warranted to evaluate the relationship between working life and sickness absence. Extended prior working lives are not related to the course of future sickness absence.

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Association between early working life patterns, in publicly and privately owned companies, and the course of future sickness absence due to mental disorders: a cohort study in Catalonia (Spain)

BMJ Open ◽

10.1136/bmjopen-2020-040480 ◽

2021 ◽

Vol 11 (2) ◽

pp. e040480

Author(s):

Amaya Ayala-Garcia ◽

Laura Serra ◽

Monica Ubalde-Lopez

Keyword(s):

Cohort Study ◽

Mental Disorders ◽

Social Security ◽

Sickness Absence ◽

Multinomial Logistic Regression ◽

Working Life ◽

Men And Women ◽

Permanent Employment ◽

Life Patterns ◽

The Relationship

ObjectivesTo assess the relationship between early working life patterns, at privately and publicly held companies, and the course of sickness absence (SA) due to mental disorders.MethodsCohort study of workers aged 18–28 years, affiliated with the Spanish social security system, living in Catalonia, who had at least one episode of SA due to mental disorders between 2012 and 2014. Individual prior working life trajectories were reconstructed through sequence analysis. Optimal matching analysis was performed to identify early working life patterns by clustering similar individual trajectories. SA trajectories were identified using latent class growth modelling analysis. Finally, the relationship between early working life patterns and subsequent SA trajectories was assessed via multinomial logistic regression models.ResultsAmong both men and women, four labour market participation (LMP) patterns were identified: stable permanent employment (reference group), increasing permanent employment, fluctuating employment and delayed employment. Among women, an increasing permanent employment pattern in early working life was related to a decrease of accumulated SA days over time (adjusted OR (aOR) 2.08; 95% CI 1.18 to 3.66). In men, we observed a trend towards a middle stable accumulation of SA days in those with fluctuating employment (aOR 1.25, 95% CI 0.57 to 2.74) or delayed employment (aOR 1.79; 95% CI 0.59 to 5.41). In both men and women, an early working life in big companies was related to a more favourable SA trajectory.ConclusionsEarly LMP patterns characterised by an increasing stability—decreased number of transitions between temporary contracts and lack of social security coverage towards permanent contracts—were related to a better future SA course due to mental diagnosis.

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