Evidence map›Paper›PMID 38017294›Full record

ArticleJournal of prevention (2022)2024

Health Status, Type of Contract and Labour Force Participation.

Kamer Kalip, Alex Burdorf

Abstract read
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Article in Journal of prevention (2022), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Kamer KalipDepartment of Public Health, Erasmus University Medical Center, P.O. Box 2040, Rotterdam, 3000 CA, Netherlands. kamerkalip@hotmail.com.ORCID 0000-0001-7147-659X
Alex BurdorfDepartment of Public Health, Erasmus University Medical Center, P.O. Box 2040, Rotterdam, 3000 CA, Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHealth status, type of contract, education and age might affect labour force participation (LFP). We investigated possible factors associated with LFP among European countries.

methodsEuropean Union Statistics on Income and Living Conditions (EU-SILC) data of 149,798 individuals were used and the odds ratios were calculated in logistic regression analyses.

resultsLFP rates were higher among those in good health. Self-perceived poor health frequencies were higher in people with temporary contracts than in those with permanent contracts in Bulgaria, Finland, and Hungary, while they were lower in Republic of Serbia. Multivariate analyses revealed that having temporary contract, poor health, oldest age group, and lower educational level were associated with lower probability of being in paid employment in the total study population. Poor health was stronger driver of lower LFP than temporary contracts in Austria, Hungary, Iceland, Netherlands. Temporary contracts were stronger driver of lower LFP than poor health in Greece, Spain, Finland, Portugal, Serbia, Slovenia and total study population.

conclusionBoth poor health and temporary contracts were associated with lower LFP. The magnitude of these associations varied among countries. Worker's health status differed by type of contract in Bulgaria, Hungary, Finland and Serbia.

Indexed as

EmploymentHealth StatusContractsEducational StatusHumansSerbiaContractsEmploymentHealthLogistic ModelsPrecarious Employment

Identifiers

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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.