Evidence map›Paper›PMID 41947860›Full record

ArticleJournal of health monitoring2026

Discrimination and Health: Results of the Panel 'Health in Germany' 2024.

Carmen Koschollek, Marleen Bug, Susanne Bartig, Kathleen Pöge, Caroline Cohrdes, Claudia Hövener, Katja Kajikhina, Jens Hoebel

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In one paragraph

Article in Journal of health monitoring, 2026. 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
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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

8 authors.

Carmen KoschollekRobert Koch Institute, Department of Epidemiology and Health Monitoring, Berlin, Germany.
Marleen BugRobert Koch Institute, Department of Epidemiology and Health Monitoring, Berlin, Germany.
Susanne BartigRobert Koch Institute, Department of Epidemiology and Health Monitoring, Berlin, Germany.
Kathleen PögeRobert Koch Institute, Department of Epidemiology and Health Monitoring, Berlin, Germany.
Caroline CohrdesRobert Koch Institute, Department of Epidemiology and Health Monitoring, Berlin, Germany.
Claudia HövenerAlice Salomon University of Applied Sciences Berlin, Berlin, Germany.
Katja KajikhinaRobert Koch Institute, Department of Infectious Disease Epidemiology, Berlin, Germany.
Jens HoebelRobert Koch Institute, Department of Epidemiology and Health Monitoring, Berlin, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Discrimination is prohibited by law in specific contexts. Nevertheless, it does occur and may seriously impact health. This contribution analyses social differences regarding the prevalence of experiences of discrimination and its associations with health among adults living in Germany. Methods: The analyses are based on the population-based panel 'Health in Germany' conducted by the Robert Koch Institute. Participants were asked about experiences of everyday discrimination and possible reasons for these experiences. The frequency of experiencing everyday discrimination as well as the occurrence of multiple discrimination were examined for different social groups. Associations between experiences of discrimination and self-rated general as well as mental health were investigated using Poisson regression. Results: Everyday and multiple discrimination is reported more often by younger, trans or gender diverse persons as well as from people in socioeconomically disadvantaged situations and migrants. The frequency of experiencing everyday and multiple discrimination is associated with progressively worse self-rated general and mental health. Conclusions: Discrimination is a relevant social determinant of health. The results corroborate the approach of the World Health Organization to reduce and overcome discrimination as a central field of action to foster health equity.

Indexed as

DiscriminationEducationGender identityGermanyHealth inequalitiesMental healthMigrationPrevalenceSelf-rated general healthSocial determinants of health

Identifiers

PMID41947860
PMCPMC13036382

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