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Do early life factors explain the educational differences in early labour market exit? A register-based cohort study
BACKGROUND: Socioeconomic inequalities in labour market participation are well established. However, we do not fully know what causes these inequalities. The present study aims to examine to what extent factors in childhood and late adolescence can explain educational differences in early labour mar...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10472566/ https://www.ncbi.nlm.nih.gov/pubmed/37653490 http://dx.doi.org/10.1186/s12889-023-16626-3 |
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author | Carlsson, Emma Hemmingsson, Tomas Landberg, Jonas Burström, Bo Thern, Emelie |
author_facet | Carlsson, Emma Hemmingsson, Tomas Landberg, Jonas Burström, Bo Thern, Emelie |
author_sort | Carlsson, Emma |
collection | PubMed |
description | BACKGROUND: Socioeconomic inequalities in labour market participation are well established. However, we do not fully know what causes these inequalities. The present study aims to examine to what extent factors in childhood and late adolescence can explain educational differences in early labour market exit among older workers. METHODS: All men born in 1951–1953 who underwent conscription examination for the Swedish military in 1969–1973 (n = 145 551) were followed from 50 to 64 years of age regarding early labour market exit (disability pension, long-term sickness absence, long-term unemployment and early old-age retirement with and without income). Early life factors, such as cognitive ability, stress resilience, and parental socioeconomic position, were included. Cox proportional-hazards regressions were used to estimate the association between the level of education and each early labour market exit pathway, including adjustment for early life factors. RESULTS: The lowest educated men had a higher risk of exit through disability pension (HR: 2.72), long-term sickness absence (HR: 2.29), long-term unemployment (HR: 1.45), and early old-age retirement with (HR: 1.29) and without income (HR: 1.55) compared to the highest educated men. Factors from early life explained a large part of the educational differences in disability pension, long-term sickness absence and long-term unemployment but not for early old-age retirement. Important explanatory factors were cognitive ability and stress resilience, whilst cardiorespiratory fitness had negligible impact. CONCLUSIONS: The association between education and early exit due to disability pension, long-term sickness absence and long-term unemployment was to a large part explained by factors from early life. However, this was not seen for early old-age retirement. These results indicate the importance of taking a life-course perspective when examining labour market participation in later working life. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-023-16626-3. |
format | Online Article Text |
id | pubmed-10472566 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-104725662023-09-02 Do early life factors explain the educational differences in early labour market exit? A register-based cohort study Carlsson, Emma Hemmingsson, Tomas Landberg, Jonas Burström, Bo Thern, Emelie BMC Public Health Research BACKGROUND: Socioeconomic inequalities in labour market participation are well established. However, we do not fully know what causes these inequalities. The present study aims to examine to what extent factors in childhood and late adolescence can explain educational differences in early labour market exit among older workers. METHODS: All men born in 1951–1953 who underwent conscription examination for the Swedish military in 1969–1973 (n = 145 551) were followed from 50 to 64 years of age regarding early labour market exit (disability pension, long-term sickness absence, long-term unemployment and early old-age retirement with and without income). Early life factors, such as cognitive ability, stress resilience, and parental socioeconomic position, were included. Cox proportional-hazards regressions were used to estimate the association between the level of education and each early labour market exit pathway, including adjustment for early life factors. RESULTS: The lowest educated men had a higher risk of exit through disability pension (HR: 2.72), long-term sickness absence (HR: 2.29), long-term unemployment (HR: 1.45), and early old-age retirement with (HR: 1.29) and without income (HR: 1.55) compared to the highest educated men. Factors from early life explained a large part of the educational differences in disability pension, long-term sickness absence and long-term unemployment but not for early old-age retirement. Important explanatory factors were cognitive ability and stress resilience, whilst cardiorespiratory fitness had negligible impact. CONCLUSIONS: The association between education and early exit due to disability pension, long-term sickness absence and long-term unemployment was to a large part explained by factors from early life. However, this was not seen for early old-age retirement. These results indicate the importance of taking a life-course perspective when examining labour market participation in later working life. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-023-16626-3. BioMed Central 2023-08-31 /pmc/articles/PMC10472566/ /pubmed/37653490 http://dx.doi.org/10.1186/s12889-023-16626-3 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Carlsson, Emma Hemmingsson, Tomas Landberg, Jonas Burström, Bo Thern, Emelie Do early life factors explain the educational differences in early labour market exit? A register-based cohort study |
title | Do early life factors explain the educational differences in early labour market exit? A register-based cohort study |
title_full | Do early life factors explain the educational differences in early labour market exit? A register-based cohort study |
title_fullStr | Do early life factors explain the educational differences in early labour market exit? A register-based cohort study |
title_full_unstemmed | Do early life factors explain the educational differences in early labour market exit? A register-based cohort study |
title_short | Do early life factors explain the educational differences in early labour market exit? A register-based cohort study |
title_sort | do early life factors explain the educational differences in early labour market exit? a register-based cohort study |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10472566/ https://www.ncbi.nlm.nih.gov/pubmed/37653490 http://dx.doi.org/10.1186/s12889-023-16626-3 |
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