Evidence map›Paper›PMID 33645306›Full record

ReviewScandinavian journal of public health2021

Indicators and determinants of the years of working life lost: a narrative review.

Rahman Shiri, Aapo Hiilamo, Tea Lallukka

Abstract readReview
In one paragraph

Review in Scandinavian journal of public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

12 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Job control and working life expectancy in Sweden.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

3 authors.

Rahman ShiriFinnish Institute of Occupational Health, Helsinki, Finland.ORCID https://orcid.org/0000-0002-9312-3100
Aapo HiilamoFinnish Institute of Occupational Health, Helsinki, Finland.
Tea LallukkaFinnish Institute of Occupational Health, Helsinki, Finland.ORCID https://orcid.org/0000-0003-3841-3129

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis narrative review summarizes the available indicators for working life expectancy and years of working life lost (YWLL) and their determinants.

methodsWe searched PubMed and Embase databases from their inception until August 2020 and screened all studies proposing an indicator for working life expectancy or YWLL. We also reviewed studies focusing on sociodemographic, lifestyle and work-related determinants of working life expectancy and YWLL. The results were synthesized narratively.

resultsWe identified 13 different indicators for the length of working life or YWLL. The most frequently used indicators were 'working life expectancy', 'healthy working life expectancy', and YWLL. Working life expectancy and healthy working life expectancy are longer for men than women. Working life expectancy at the age of 50 has been increasing since the mid-90s, and the increase has been larger for women, reducing the sex difference. Working life is shorter for people with a low level of education, in lower occupational classes, for people exposed to high physical work demands, those living in the most socioeconomically deprived areas, people with overweight or obesity, smokers, people who are inactive during leisure time and in people with a chronic health problem.

conclusions

Indexed as

EmploymentFemaleHumansMaleMiddle AgedNarrationRetirementSocioeconomic FactorsChronic diseasehealth behaviourretirementsick leavesocial determinants of healthworkworking life expectancy

Identifiers

PMID33645306
PMCPMC8512267

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.