Evidence map›Paper›PMID 32097437›Full record

ArticlePloS one2020

The impact of longstanding illness and common mental disorder on competing employment exits routes in older working age: A longitudinal data-linkage study in Sweden.

Lisa Harber-Aschan, Wen-Hao Chen, Ashley McAllister, Natasja Koitzsch Jensen, Karsten Thielen, Ingelise Andersen, Finn Diderichsen, Ben Barr, Bo Burström

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 3 pooled it
3.3field-weighted citation impact, top 7% of its field
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

10 citing papers in PubMed, 3 syntheses or guidelines pooled it, 13 citations in OpenAlex.

  1. Pooled it
  2. A meta-analysis of unemployment risk factors for middle-aged workers.Scandinavian journal of work, environment & health · 2025
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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

9 authors at 5 institutions in 5 countries.

Lisa Harber-AschanDepartment of Global Public Health, Equity and Health Policy Research Group, Karolinska Institutet, Stockholm, Sweden.ORCID 0000-0002-6464-4855
Wen-Hao ChenSocial Analysis and Modelling Division, Statistics Canada, Ottawa, Canada.ORCID 0000-0003-2509-5504
Ashley McAllisterDepartment of Global Public Health, Equity and Health Policy Research Group, Karolinska Institutet, Stockholm, Sweden.
Natasja Koitzsch JensenDepartment of Public Health, University of Copenhagen, Copenhagen, Denmark.
Karsten ThielenDepartment of Public Health, University of Copenhagen, Copenhagen, Denmark.
Ingelise AndersenDepartment of Public Health, University of Copenhagen, Copenhagen, Denmark.
Finn DiderichsenDepartment of Public Health, University of Copenhagen, Copenhagen, Denmark.
Ben BarrDepartment of Public Health and Policy, University of Liverpool, Liverpool, England, United Kingdom.
Bo BurströmDepartment of Global Public Health, Equity and Health Policy Research Group, Karolinska Institutet, Stockholm, Sweden.
University of Copenhagen · DKKarolinska Institutet · SEStatistics Canada · CAThe University of Melbourne · AUUniversity of Liverpool · GB

Funding

CIHR ES/N019261/1
6 · The paper itself

Abstract

objectivesComorbidity is prevalent in older working ages and might affect employment exits. This study aimed to 1) assess the associations between comorbidity and different employment exit routes, and 2) examine such associations by gender.

methodsWe used data from employed adults aged 50-62 in the Stockholm Public Health Survey 2002 and 2006, linked to longitudinal administrative income records (N = 10,416). The morbidity measure combined Limiting Longstanding Illness and Common Mental Disorder-captured by the General Health Questionnaire-12 (≥4)-into a categorical variable: 1) No Limiting Longstanding Illness, no Common Mental Disorder, 2) Limiting Longstanding Illness only, 3) Common Mental Disorder only, and 4) comorbid Limiting Longstanding Illness+Common Mental Disorder. Employment status was followed up until 2010, treating early retirement, disability pension and unemployment as employment exits. Competing risk regression analysed the associations between morbidity and employment exit routes, stratifying by gender.

resultsCompared to No Limiting Longstanding Illness, no Common Mental Disorder, comorbid Limiting Longstanding Illness+Common Mental Disorder was associated with early retirement in men (subdistribution hazard ratio = 1.73, 95% confidence intervals: 1.08-2.76), but not in women. For men and women, strong associations for disability pension were observed with Limiting Longstanding Illness only (subdistribution hazard ratio = 11.43, 95% confidence intervals: 9.40-13.89) and Limiting Longstanding Illness+Common Mental Disorder (subdistribution hazard ratio = 14.25, 95% confidence intervals: 10.91-18.61), and to a lesser extent Common Mental Disorder only (subdistribution hazard ratio = 2.00, 95% confidence intervals: 1.31-3.05). Women were more likely to exit through disability pension than men (subdistribution hazard ratio = 1.96, 95% confidence intervals: 1.60-2.39). Common Mental Disorder only was the only morbidity category associated with unemployment (subdistribution hazard ratio = 1.70, 95% confidence intervals: 1.36-2.15).

conclusionsStrong associations were observed between specific morbidity categories with different employment exit routes, which differed by gender. Initiatives to extend working lives should consider older workers' varied health needs to prevent inequalities in older age.

Indexed as

AgedEmploymentFemaleHealth StatusHumansLongitudinal StudiesMaleMiddle AgedPensionsPersons with DisabilitiesPsychotic DisordersRetirementSwedenUnemployment

Identifiers

PMID32097437
PMCPMC7041791
OpenAlexW3008201261

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.