Evidence map›Paper›PMID 39504991›Full record

ArticleEuropean journal of public health2024

Employment in low-skilled jobs as trigger and consequence of poor health-a longitudinal perspective from Germany.

Arthur Kaboth, Lena Hünefeld, Ralf Himmelreicher

Abstract read
In one paragraph

Article in European journal of public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

1 citing paper in PubMed.

  1. Observational
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.

Arthur KabothUnit 1.2 Monitoring Working Conditions, Federal Institute for Occupational Safety and Health, Dortmund, Germany.ORCID 0000-0003-2252-4502
Lena HünefeldUnit 1.2 Monitoring Working Conditions, Federal Institute for Occupational Safety and Health, Dortmund, Germany.
Ralf HimmelreicherUnit 1.4 Coordination and Information Office for the Minimum Wage, Federal Institute for Occupational Safety and Health, Berlin, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite evidence of correlations between low-skilled jobs and poor health, the longitudinal perspective on this research topic has been neglected in Germany for decades. Therefore, we investigate (i) the causal relationship between accumulated employment in low- or medium-skilled jobs on self-rated health and (ii) the selective association of self-rated health on transitions from medium- to low-skilled jobs. About 26 313 dependent employees and persons aged 25-50 from 2010 to 2020 in the German Socio-Economic Panel were included. Linear fixed-effects models were used to analyse the impact of accumulated employment in low- or medium-skilled jobs on self-rated health. Linear probability models with fixed effects were calculated to identify the effect of self-rated health on transitions between low- and medium-skilled jobs. Accumulated employment in low-skilled jobs impacts self-rated health significantly. There is no confirmation for accumulated employment in medium-skilled jobs concerning health. Poor self-rated health increases the probability of transitioning from medium- to low-skilled jobs but does not impact the reverse transition. Poor self-rated health can push employees into low-skilled jobs. Against the background of extended working lives and preserving the labour force potential, there is a need for action and research concerning employees in low-skilled jobs.

Indexed as

EmploymentHealth StatusAdultFemaleGermanyHumansLongitudinal StudiesMaleMiddle AgedOccupationsSocioeconomic Factors

Identifiers

PMID39504991
PMCPMC11631426

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.