Evidence map›Paper›PMID 38454363›Full record

ArticleBMC public health2024

Socioeconomic differences in working life expectancy: a scoping review.

Svetlana Solovieva, Astrid de Wind, Karina Undem, Christian Dudel, Ingrid S Mehlum, Swenne G van den Heuvel, Suzan J W Robroek, Taina Leinonen

Open access · goldAbstract readScoping Review
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
12.0field-weighted citation impact, top 2% 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

9 citing papers in PubMed, 7 citations in OpenAlex.

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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

8 authors at 6 institutions in 5 countries.

Svetlana SolovievaFinnish Institute of Occupational Health, P.O. Box 40, Työterveyslaitos, Helsinki, 00032, Finland. svetlana.solovieva@ttl.fi.
Astrid de WindAmsterdam UMC location University of Amsterdam, Public and Occupational Health, Amsterdam, The Netherlands.
Karina UndemNational Institute of Occupational Health, Oslo, Norway.
Christian DudelMax Planck Institute for Demographic Research, Rostock, Germany.
Ingrid S MehlumNational Institute of Occupational Health, Oslo, Norway.
Swenne G van den HeuvelTNO - Netherlands organisation for applied scientific research, Leiden, the Netherlands.
Suzan J W RobroekDepartment of Public Health, Erasmus University Medical Center, Rotterdam, the Netherlands.
Taina LeinonenFinnish Institute of Occupational Health, P.O. Box 40, Työterveyslaitos, Helsinki, 00032, Finland.
Finnish Institute of Occupational Health · FINational Institute of Occupational Health · NOAmsterdam University Medical Centers · NLErasmus MC · NLNetherlands Organisation for Applied Scientific Research · NLUniversity of Helsinki · FI

Funding

European Union's Horizon 2020 874703Strategic Research Council 345170
6 · The paper itself

Abstract

backgroundIn the last decade, interest in working life expectancy (WLE) and socioeconomic differences in WLE has grown considerably. However, a comprehensive overview of the socioeconomic differences in WLE is lacking. The aim of this review is to systematically map the research literature to improve the insight on differences in WLE and healthy WLE (HWLE) by education, occupational class and income while using different ways of measuring and estimating WLE and to define future research needs.

methodsA systematic search was carried out in Web of Science, PubMed and EMBASE and complemented by relevant publications derived through screening of reference lists of the identified publications and expert knowledge. Reports on differences in WLE or HWLE by education, occupational class or income, published until November 2022, were included. Information on socioeconomic differences in WLE and HWLE was synthesized in absolute and relative terms.

resultsA total of 26 reports from 21 studies on educational and occupational class differences in WLE or HWLE were included. No reports on income differences were found. On average, WLE in persons with low education is 30% (men) and 27% (women) shorter than in those with high education. The corresponding numbers for occupational class difference were 21% (men) and 27% (women). Low-educated persons were expected to lose more working years due to unemployment and disability retirement than high-educated persons.

conclusionsThe identified socioeconomic inequalities are highly relevant for policy makers and pose serious challenges for equitable pension policies. Many policy interventions aimed at increasing the length of working life follow a one-size-fits-all approach which does not take these inequalities into account. More research is needed on socioeconomic differences in HWLE and potential influences of income on working life duration.

Indexed as

Life ExpectancyPersons with DisabilitiesFemaleHumansMalePensionsRetirementSocioeconomic FactorsUnemploymentEducationHealthy working life expectancyIncomeOccupational classWorking years lost

Identifiers

PMID38454363
PMCPMC10921693
OpenAlexW4392551667

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.