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Trajectories of work disability and unemployment among young adults with common mental disorders

BACKGROUND: Labour-market marginalisation (LMM) and common mental disorders (CMDs) are serious societal problems. The aims were to describe trajectories of LMM (both work disability and unemployment) among young adults with and without CMDs, and to elucidate the characteristics associated with these...

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Autores principales: Helgesson, Magnus, Tinghög, Petter, Wang, Mo, Rahman, Syed, Saboonchi, Fredrik, Mittendorfer-Rutz, Ellenor
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6219052/
https://www.ncbi.nlm.nih.gov/pubmed/30400785
http://dx.doi.org/10.1186/s12889-018-6141-y
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author Helgesson, Magnus
Tinghög, Petter
Wang, Mo
Rahman, Syed
Saboonchi, Fredrik
Mittendorfer-Rutz, Ellenor
author_facet Helgesson, Magnus
Tinghög, Petter
Wang, Mo
Rahman, Syed
Saboonchi, Fredrik
Mittendorfer-Rutz, Ellenor
author_sort Helgesson, Magnus
collection PubMed
description BACKGROUND: Labour-market marginalisation (LMM) and common mental disorders (CMDs) are serious societal problems. The aims were to describe trajectories of LMM (both work disability and unemployment) among young adults with and without CMDs, and to elucidate the characteristics associated with these trajectories. METHODS: The study was based on Swedish registers and consisted of all individuals 19–30 years with an incident diagnosis of a CMD in year 2007 (n = 7245), and a matched comparison group of individuals without mental disorders during the years 2004–07 (n = 7245). Group-based trajectory models were used to describe patterns of LMM both before, and after the incident diagnosis of a CMD. Multinomial logistic regressions investigated the associations between sociodemographic and medical covariates and the identified trajectories. RESULTS: Twenty-six percent (n = 1859) of young adults with CMDs followed trajectories of increasing or constant high levels of work disability, and 32 % (n = 2302) followed trajectories of increasing or constant high unemployment. In the comparison group, just 9 % (n = 665) followed increasing or constant high levels of work disability and 21 % (n = 1528) followed trajectories of increasing or constant high levels of unemployment. A lower share of young adults with CMDs followed trajectories of constant low levels of work disability (n = 4546, 63%) or unemployment (n = 2745, 38%), compared to the level of constant low work disability (n = 6158, 85%) and unemployment (n = 3385, 50%) in the comparison group. Remaining trajectories were fluctuating or decreasing. Around 50% of young adults with CMDs had persistent levels of LMM at the end of follow-up. The multinomial logistic regression revealed that educational level and comorbid mental disorders discriminated trajectories of work disability, while educational level, living area and age determined differences in trajectories of unemployment (R(2)(difference) = 0.02–0.05, p < 0.001). CONCLUSIONS: A large share, nearly 50%, of young adults with CMDs, substantially higher than in the comparison group of individuals without mental disorders, display increasing or high persistent levels of either work disability or unemployment throughout the follow-up period. Low educational level, comorbidity with other mental disorders and living in rural areas were factors that increased the probability for LMM. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12889-018-6141-y) contains supplementary material, which is available to authorized users.
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spelling pubmed-62190522018-11-08 Trajectories of work disability and unemployment among young adults with common mental disorders Helgesson, Magnus Tinghög, Petter Wang, Mo Rahman, Syed Saboonchi, Fredrik Mittendorfer-Rutz, Ellenor BMC Public Health Research Article BACKGROUND: Labour-market marginalisation (LMM) and common mental disorders (CMDs) are serious societal problems. The aims were to describe trajectories of LMM (both work disability and unemployment) among young adults with and without CMDs, and to elucidate the characteristics associated with these trajectories. METHODS: The study was based on Swedish registers and consisted of all individuals 19–30 years with an incident diagnosis of a CMD in year 2007 (n = 7245), and a matched comparison group of individuals without mental disorders during the years 2004–07 (n = 7245). Group-based trajectory models were used to describe patterns of LMM both before, and after the incident diagnosis of a CMD. Multinomial logistic regressions investigated the associations between sociodemographic and medical covariates and the identified trajectories. RESULTS: Twenty-six percent (n = 1859) of young adults with CMDs followed trajectories of increasing or constant high levels of work disability, and 32 % (n = 2302) followed trajectories of increasing or constant high unemployment. In the comparison group, just 9 % (n = 665) followed increasing or constant high levels of work disability and 21 % (n = 1528) followed trajectories of increasing or constant high levels of unemployment. A lower share of young adults with CMDs followed trajectories of constant low levels of work disability (n = 4546, 63%) or unemployment (n = 2745, 38%), compared to the level of constant low work disability (n = 6158, 85%) and unemployment (n = 3385, 50%) in the comparison group. Remaining trajectories were fluctuating or decreasing. Around 50% of young adults with CMDs had persistent levels of LMM at the end of follow-up. The multinomial logistic regression revealed that educational level and comorbid mental disorders discriminated trajectories of work disability, while educational level, living area and age determined differences in trajectories of unemployment (R(2)(difference) = 0.02–0.05, p < 0.001). CONCLUSIONS: A large share, nearly 50%, of young adults with CMDs, substantially higher than in the comparison group of individuals without mental disorders, display increasing or high persistent levels of either work disability or unemployment throughout the follow-up period. Low educational level, comorbidity with other mental disorders and living in rural areas were factors that increased the probability for LMM. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12889-018-6141-y) contains supplementary material, which is available to authorized users. BioMed Central 2018-11-06 /pmc/articles/PMC6219052/ /pubmed/30400785 http://dx.doi.org/10.1186/s12889-018-6141-y Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. 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.
spellingShingle Research Article
Helgesson, Magnus
Tinghög, Petter
Wang, Mo
Rahman, Syed
Saboonchi, Fredrik
Mittendorfer-Rutz, Ellenor
Trajectories of work disability and unemployment among young adults with common mental disorders
title Trajectories of work disability and unemployment among young adults with common mental disorders
title_full Trajectories of work disability and unemployment among young adults with common mental disorders
title_fullStr Trajectories of work disability and unemployment among young adults with common mental disorders
title_full_unstemmed Trajectories of work disability and unemployment among young adults with common mental disorders
title_short Trajectories of work disability and unemployment among young adults with common mental disorders
title_sort trajectories of work disability and unemployment among young adults with common mental disorders
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6219052/
https://www.ncbi.nlm.nih.gov/pubmed/30400785
http://dx.doi.org/10.1186/s12889-018-6141-y
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