scholarly journals « Avoir un enfant différent dans un pays où on est différent ». Une étude des familles immigrées en Norvège

2017 ◽  
Author(s):  
Elena Albertini Früh ◽  
Zineb Rachedi ◽  
Hilde Lidén
Keyword(s):  
Labour Market ◽  
Present Article ◽  
Sickness Absence ◽  
Ethnic Differences ◽  
Research Council ◽  
Chronically Ill ◽  
Maladie Chronique ◽  
Labour Market Participation ◽  
Chronically Ill Children ◽  
Health And Sickness

Cadre de la recherche : En Norvège, vivre avec un enfant ayant des problèmes de santé est une réalité pour de nombreux parents et demande une adaptation de toute la famille ; cela peut être d’autant plus problématique pour des parents issus de l’immigration. Objectifs : Le présent article vise à comprendre comment les familles issues de différents types d’immigration gèrent le suivi de l’enfant ayant des besoins spécifiques. Méthodologie : Les données sont issues d’une recherche qualitative basée sur vingt-sept entretiens individuels semi-directifs et trois entretiens de groupe avec des parents immigrés ou issus de l’immigration. L’analyse inductive se fonde sur l’analyse de contenu des entretiens. Résultats : Vivre avec un enfant ayant des besoins spécifiques exige une redéfinition de l’investissement et des rôles de chacun des parents. On note, en effet, des stratégies conjugales et parentales qui prennent forme dans un rapport de genre marqué à la fois par des pratiques de changement et de reproduction. Pour les familles immigrées ayant un enfant aux besoins spécifiques, la question du travail aussi bien pour les hommes que pour les femmes est centrale tant elle montre la nécessité des bricolages, à la fois pour l’adaptation au mode de vie du pays d’accueil et pour sortir de « la famille soignante », où l’enfant est au centre des préoccupations. Conclusion : Les relations sociales (notamment par le travail ou par le maintien d’un réseau d’amis ou de la famille élargie) ainsi que le soutien apporté par les services médicosociaux restent des ressources précieuses pour faire face aux défis qu’entraînent le handicap ou la maladie chronique de l’enfant. Contributions: L’étude, réalisée en collaboration avec Lisbeth Gravdal Kvarme, est financée par The Research Council of Norway, dans le cadre du projet « Ethnic differences in labour market participation, health and sickness absence among parents caring for disabled or chronically ill children » ( n o 227022/H20).

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 in Catalonia, 2012-2014

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.

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 Correction to: 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 ◽  
Market Participation ◽  
Labour Market Participation

An amendment to this paper has been published and can be accessed via the original article.

scholarly journals Occupational prestige and sickness absence inequality in employed women and men in Sweden: a registry-based study

BMJ Open ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. e050191
Author(s):  
Chioma Adanma Nwaru ◽  
Tomas Berglund ◽  
Gunnel Hensing
Keyword(s):  
Labour Market ◽  
Sickness Absence ◽  
Labour Force ◽  
Total Sample ◽  
Occupational Prestige ◽  
Labour Market Participation ◽  
Stratified Analysis ◽  
High Prestige

ObjectivesSocioeconomic position has been linked to sickness absence (SA). However, less is known about the role of occupational prestige, a measure of social status afforded by one’s occupation, in SA. We investigated the association between occupational prestige and SA and the distribution of the association in women and men. We also examined the effect of intersections of gender and occupational prestige on SA.DesignLongitudinal.SettingA nationwide representative sample of Swedish working population.Participants97 397 employed individuals aged 25–59 years selected from the 2004, 2007 and 2010 waves of the Swedish Labour Force Survey and prospectively linked to the Swedish Longitudinal Integration Database for Health Insurance and Labour Market Studies.Outcome measuresThe number of SA days in any particular year during a 3-year follow-up and long-term (>120 days) SA based on those with at least one sick leave spell during the follow-up.ResultsOccupational prestige was weakly associated with SA in the total sample after adjusting for potential confounders. In the gender-stratified analysis, women in lower prestige occupations had higher absenteeism rates than women in high prestige occupations; men in lower prestige occupations had higher odds for long-term SA than men in high prestige occupations. In the intersectional analysis, women regardless of prestige level and men in lower prestige occupations had higher probability of SA compared with men in high prestige occupations. Women in high prestige occupations had the highest absenteeism rates (incidence rate ratio (IRR), 2.25, 95% CI, 2.20 to 2.31), while men in medium prestige occupations had the lowest rates (IRR, 1.17, 95% CI, 1.13 to 1.20). Compared with the rest of the groups, men in low and medium prestige occupations had higher odds for long-term absence.ConclusionThere is need to pay close attention to occupational prestige as a factor that may influence health and labour market participation.

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