Evidence map›Paper›PMID 41590021›Full record

ArticleEuropean journal of investigation in health, psychology and education2026

Health Inequalities in German Higher Education: A Cross-Sectional Study Reveals Poorer Health in First-Generation University Students and University Students with Lower Subjective Social Status.

Corinna A Södel, Marga Motzkau, Marcel Wilfert, Raphael M Herr, Katharina Diehl

Abstract read
In one paragraph

Article in European journal of investigation in health, psychology and education, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

5 authors.

Corinna A SödelDepartment of Medical Informatics, Biometry and Epidemiology, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), 91054 Erlangen, Germany.ORCID 0009-0006-1875-7812
Marga MotzkauDepartment of Medical Informatics, Biometry and Epidemiology, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), 91054 Erlangen, Germany.
Marcel WilfertDepartment of Medical Informatics, Biometry and Epidemiology, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), 91054 Erlangen, Germany.
Raphael M HerrDepartment of Medical Informatics, Biometry and Epidemiology, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), 91054 Erlangen, Germany.ORCID 0000-0003-0079-2792
Katharina DiehlDepartment of Medical Informatics, Biometry and Epidemiology, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), 91054 Erlangen, Germany.ORCID 0000-0002-5408-652X

Funding

German Research Foundation DI2365-3-1, 444903127
6 · The paper itself

Abstract

University students worldwide experience considerable health challenges. We examined health inequalities in a nationwide, gender-balanced sample of 1105 German students, considering negative (stress, depression, burnout) and positive health outcomes (self-rated health [SRH], well-being) alongside vertical (subjective social status [SSS], parental academic background) and horizontal (gender) determinants. Analyses used bivariate statistics, multivariate regressions, and interaction terms. Higher SSS was associated with better SRH (β = 0.322) and well-being (β = 0.355), and lower stress (β = -0.154), depression (β = -0.127), and burnout (β = -0.219). First-generation students reported highly significant poorer SRH and well-being than students with one (β = 0.114; β = 0.112) or two academic parents (β = 0.162; β = 0.192). Students with two academic parents showed lower stress (β = -0.087,

Indexed as

burnoutdepressionfirst-generation studentshealth inequalitiesself-rated healthsocioeconomic statusstresssubjective social statusuniversitywell-being

Identifiers

PMID41590021
PMCPMC12839866

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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.