Evidence map›Paper›PMID 41332886›Full record

ArticleSSM - population health2025

Labour market exits in a former out-of-home care population: A birth cohort-based sequence analysis.

Lisa Bornscheuer, Josephine Jackisch, Karl Gauffin, Ylva B Almquist

Abstract read
In one paragraph

Article in SSM - population health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Lisa BornscheuerDepartment of Public Health Sciences, Stockholm University, Albanovägen 12, Stockholm, SE 106 91, Sweden.
Josephine JackischMax Planck Institute for Demographic Research, Konrad-Zuse Str.1, Rostock, 18057, Germany.
Karl GauffinDepartment of Public Health Sciences, Stockholm University, Albanovägen 12, Stockholm, SE 106 91, Sweden.
Ylva B AlmquistDepartment of Public Health Sciences, Stockholm University, Albanovägen 12, Stockholm, SE 106 91, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ways of exiting the labour market both reflect previous health and socioeconomic disadvantage, and shape opportunities for healthy ageing. We apply sequence analysis on data from a 1953 Stockholm birth cohort to describe typical labour market exit routes between ages 55 and 68, both in the full sample and among the subgroup of individuals with childhood experience of out-of-home care for family reasons - a population with a high prevalence of childhood adversity. Information on income is used to further characterize these routes. Based on multinomial logistic regression analysis, we examine educational attainment and gender as predictors of exit routes, and as effect modifiers in the association between out-of-home care and exit routes. The normative transition from employment to pension was the most common type of exit in both samples. Individuals clustered into two non-normative routes in the full sample (health-related benefits; early mortality) and four non-normative routes in the care-experienced sample (health-related benefits with income from work; health-related benefits without income from work; unemployment; early mortality), largely reflecting a higher degree of financial disadvantage. We furthermore show that out-of-home care is associated with higher odds of following non-normative exit routes and that higher educational attainment might have the potential to mitigate this association. No consistent differences between men and women emerged in the analyses. Altogether, this study is the first to take a person-centred and prospective approach to describe the heterogeneity in early labour market exits in a high-risk population. Future research should further explore resilience factors in this context.

Indexed as

Childhood adversityLabour market exitOut-of-home careRetirementSequence analysis

Identifiers

PMID41332886
PMCPMC12666444

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LicenceCC BY
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.