Evidence map›Paper›PMID 32804945›Full record

ArticlePloS one2020

Inequalities in extending working lives beyond age 60 in Canada, Denmark, Sweden and England-By gender, level of education and health.

Ashley McAllister, Theo Bodin, Henrik Brønnum-Hansen, Lisa Harber-Aschan, Ben Barr, Lee Bentley, Qing Liao, Natasja Koitzsch Jensen, Ingelise Andersen, Wen-Hao Chen and 5 more

Open access · goldAbstract readComparative Study
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 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
4.7field-weighted citation impact, top 5% 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

6 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. The Implication of Physically Demanding and Hazardous Work on Retirement Timing.International journal of environmental research and public health · 2022
    Article
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

15 authors at 9 institutions in 5 countries.

Ashley McAllisterDepartment of Global Public Health, Karolinska Institutet, Stockholm, Sweden.ORCID 0000-0003-1857-8882
Theo BodinCenter for Occupational and Environmental Medicine, Stockholm County Council, Stockholm, Sweden.
Henrik Brønnum-HansenDepartment of Public Health, University of Copenhagen, Copenhagen, Denmark.
Lisa Harber-AschanDepartment of Global Public Health, Karolinska Institutet, Stockholm, Sweden.
Ben BarrDepartment of Public Health and Policy, University of Liverpool, Liverpool, United Kingdom.
Lee BentleyDepartment of Public Health and Policy, University of Liverpool, Liverpool, United Kingdom.
Qing LiaoInstitute for Work and Health, Toronto, Canada.
Natasja Koitzsch JensenDepartment of Public Health, University of Copenhagen, Copenhagen, Denmark.
Ingelise AndersenDepartment of Public Health, University of Copenhagen, Copenhagen, Denmark.ORCID 0000-0002-0076-265X
Wen-Hao ChenSocial Analysis and Modelling Division, Statistics Canada, Ottawa, Canada.
Karsten ThielenUnit of Social Medicine, Frederiksberg Hospital, Copenhagen, Denmark.
Cameron MustardInstitute for Work and Health, Toronto, Canada.
Finn DiderichsenDepartment of Public Health, University of Copenhagen, Copenhagen, Denmark.
Margaret WhiteheadDepartment of Public Health and Policy, University of Liverpool, Liverpool, United Kingdom.
Bo BurströmDepartment of Global Public Health, Karolinska Institutet, Stockholm, Sweden.
University of Copenhagen · DKUniversity of Liverpool · GBKarolinska Institutet · SEFrederiksberg Hospital · DKInstitute for Work & Health · CAStatistics Canada · CAStockholm County Council · SEThe University of Melbourne · AUUniversity of Toronto · CA

Funding

CIHR EWL-14428
6 · The paper itself

Abstract

backgroundKeeping older workers in employment is critical for societies facing the challenge of an ageing population. This study examined the association between types of health conditions and differentials in the probability of employment by level of education among men and women between 60-69 years of age in Canada, Denmark, Sweden and England.

methodsData were drawn from the Canadian Community Health Survey, Survey of Health, Ageing and Retirement in Europe and English Longitudinal Study of Ageing. We combined country data, applied logistic regression, adjusted for educational level, and stratified the analysis by sex to calculate the odds ratio (OR) of employment (>15 hours work per week) for persons with physical health conditions, mental health conditions (depression) and physical-mental health comorbidity.

resultsThe odds of employment among men and women with physical-mental health comorbidity were lower compared to those with no/other conditions (men: OR 0.32, 95% CI: 0.25-0.42, women: OR 0.38 95% CI: 0.30-0.48). Women with low education had lower odds of employment compared to their counterparts with high education (OR 0.66, 95% CI: 0.57-0.76). The odds of employment at older ages was lower in Canada, Denmark and England compared with Sweden (e.g. English men: OR 0.48 95% CI 0.40-0.58; English women OR 0.33 95% CI 0.27-0.41).

conclusionsThe odds of employment beyond age 60 is lower for groups with low education, particularly women, and those with physical-mental health co-morbidities. As such, policies to extend working lives should not be 'one size fits all' but instead consider subgroups, in particular, these groups that we have shown to be most vulnerable on the labour market.

Indexed as

EmploymentRetirementAgedAgingCanadaCross-Sectional StudiesDenmarkEducational StatusEnglandFemaleHealth StatusHumansLogistic ModelsLongitudinal StudiesMaleMental Health

Identifiers

PMID32804945
PMCPMC7430750
OpenAlexW3076740784

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.