Evidence map›Paper›PMID 42834396›Full record

ArticleBMC psychology2026

Mental health inequalities in Türkiye: educational differences in depression risk.

Şeyda Ünver, Ahmet Kami̇l Kabakuş, Ömer Alkan

Abstract read
In one paragraph

Article in BMC psychology, 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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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

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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

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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

3 authors.

Şeyda ÜnverDepartment of Econometrics, Faculty of Economics and Administrative Sciences, Ataturk University, 2nd Floor, Number: 226, Erzurum, Türkiye.ORCID http://orcid.org/0000-0002-2310-4545
Ahmet Kami̇l KabakuşDepartment of Management Information Systems, Faculty of Economics and Administrative Sciences, Ataturk University, Erzurum, Türkiye.ORCID http://orcid.org/0000-0003-3209-0672
Ömer AlkanDepartment of Econometrics, Faculty of Economics and Administrative Sciences, Ataturk University, 2nd Floor, No: 222, Yakutiye, Erzurum, Türkiye. oalkan@atauni.edu.tr.ORCID http://orcid.org/0000-0002-3814-3539

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThis study aims to identify the socio-demographic and health-related factors associated with depression among individuals in Türkiye and to examine whether the pattern of factors associated with depression varies across educational groups.

methodsThis study uses data from the 2022 Türkiye Health Survey conducted by the Turkish Statistical Institute. The sample consists of 22,742 individuals, including 13,070 with below-high school education and 9,672 with high school education or higher. Binary logistic regression models were applied to identify the factors associated with individuals' likelihood of experiencing depression within the last 12 months according to educational level.

resultsAmong individuals with lower educational attainment, female sex, older age, marital status, alcohol use, tobacco use, poorer self-rated general health, the presence of chronic disease, and a history of heart attack were significantly associated with depression. Among individuals with higher educational attainment, female sex, age, marital status, alcohol use, tobacco use, general health status, chronic disease, and limitations in daily activities due to health problems were significantly associated with depression.

conclusionsPolicies aimed at improving mental health outcomes should focus on reducing socioeconomic disadvantages, improving access to mental health services, and implementing targeted interventions for high-risk groups. Understanding how the factors associated with depression vary across educational levels may contribute to more effective and equitable mental health strategies.

Indexed as

DepressionEducational StatusHealth Status DisparitiesAdolescentAdultAgedFemaleHealth SurveysHumansMaleMiddle AgedRisk FactorsSocioeconomic Disparities in HealthTurkeyYoung AdultBinary logistic regressionDepressionEducational attainmentMmental health inequalitiesTürkiye

Identifiers

PMID42834396
PMCPMC13637317

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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.