scholarly journals 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 ◽  
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.

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

2020 ◽  
Vol 20 (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.

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

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.

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

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.

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

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.

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

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.

scholarly journals Occupational musculoskeletal and mental disorders as the most frequent associations to worker’s sickness absence: A 10-year cohort study

2012 ◽  
Vol 5 (1) ◽  
Author(s):  
Antonio Carlos Zechinatti ◽  
João Carlos Belloti ◽  
Vinícius Ynoe de Moraes ◽  
Walter Manna Albertoni
Keyword(s):  
Cohort Study ◽  
Mental Disorders ◽  
Sickness Absence

scholarly journals Factors Associated with Long-Term Sickness Absence Due to Mental Disorders: A Cohort Study of 7.112 Patients during the Spanish Economic Crisis

PLoS ONE ◽  
2016 ◽  
Vol 11 (1) ◽  
pp. e0146382 ◽  
Author(s):  
Eva Real ◽  
Lluís Jover ◽  
Ricard Verdaguer ◽  
Antoni Griera ◽  
Cinto Segalàs ◽  
...  
Keyword(s):  
Cohort Study ◽  
Mental Disorders ◽  
Sickness Absence ◽  
Economic Crisis ◽  
Factors Associated

Social roles and the gender difference in rates of the common mental disorders in Britain: a 7-year, population-based cohort study

2001 ◽  
Vol 31 (6) ◽  
pp. 1055-1064 ◽  
Author(s):  
S. WEICH ◽  
A. SLOGGETT ◽  
G. LEWIS
Keyword(s):  
Cohort Study ◽  
Gender Difference ◽  
Mental Disorders ◽  
Repeated Measures ◽  
Social Roles ◽  
Social Role ◽  
Common Mental Disorders ◽  
General Health Questionnaire ◽  
Reverse Causality ◽  
Men And Women

Background. It is not known why the most common mental disorders (CMD), anxiety and depression, are more prevalent among women. This gradient has not been explained by differences in the number or type of social roles occupied by men and women. Given the dearth of longitudinal studies, these negative findings could reflect reverse causality, if men with CMD relinquish social roles more readily than women.Methods. Cohort study using data from the first seven (annual) waves of the British Household Panel Survey. The prevalence of CMD was assessed using the General Health Questionnaire (GHQ), 12 months after ascertaining occupancy of five social roles. Of 12379 participants aged 16–70, 9947 completed the GHQ on at least two consecutive occasions, resulting in 44139 paired observations. Random effects models adjusted for the correlation of repeated measures and for baseline GHQ score.Results. The odds ratio for the gender difference in the future prevalence of CMD (adjusted for baseline GHQ score) was 1·92 (95% CI 1·75–2·10). Neither the number or type of social roles occupied, nor socio-economic status explained the gender difference in these conditions (adjusted OR 1·82, 95% CI 1·66–1·99). While CMD at baseline was associated with a subsequent reduction in social role occupancy, this did not vary between men and women.Conclusions. Gender differences in CMD were not explained by differences in the number or type of social roles occupied by men and women, or by reverse causality. Future studies should consider characteristics of social roles, such as demand, control and reward.

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