Evidence map›Paper›PMID 42666755›Full record

ArticleDepression and anxiety2026

The Mental Health of Veterinarians in Türkiye: A Prevalence Study.

Ahmet Metin, Çağrı Çağlar Sinmez, Ali İlteriş Aykun, Eyüp Sabır Erbiçer

Abstract read
In one paragraph

Article in Depression and anxiety, 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

4 authors.

Ahmet MetinDepartment of Guidance and Counseling, Erciyes University, Kayseri, Türkiye, erciyes.edu.tr.ORCID https://orcid.org/0000-0001-6519-2523
Çağrı Çağlar SinmezDepartment of History of Veterinary Medicine and Deontology, Erciyes University, Kayseri, Türkiye, erciyes.edu.tr.ORCID https://orcid.org/0000-0002-9248-6022
Ali İlteriş AykunDepartment of History of Veterinary Medicine and Deontology, Erciyes University, Kayseri, Türkiye, erciyes.edu.tr.ORCID https://orcid.org/0000-0002-1986-1519
Eyüp Sabır ErbiçerDepartment of Guidance and Counseling, Siirt University, Siirt, Türkiye, siirt.edu.tr.ORCID https://orcid.org/0000-0001-8253-7212

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Veterinarians have been identified as a high-risk occupational group for mental health problems; however, evidence regarding their mental health status in Türkiye remains limited. This study aimed to examine the prevalence of depression, anxiety, stress, and resilience among veterinarians in Türkiye. Methods: A cross-sectional study was conducted with 821 veterinarians (M Results: The findings indicated that 34% of participants reported depression, 35% anxiety, and 39% severe or extremely severe stress levels. Approximately 35% of veterinarians were found to have low resilience. Female veterinarians reported significantly higher levels of depression, anxiety, and stress, as well as lower resilience, compared to males. In addition, veterinarians working in the public sector exhibited significantly lower levels of depression, anxiety, and stress than those working in the private sector. Conclusion: The results indicate that mental health problems are prevalent among veterinarians in Türkiye and vary across demographic and occupational groups. These findings contribute to the limited evidence base on veterinary mental health in middle-income country contexts.

Indexed as

AnxietyDepressionOccupational StressResilience, PsychologicalStress, PsychologicalVeterinariansAdultAgedCross-Sectional StudiesFemaleHumansMaleMiddle AgedPrevalencePublic SectorTurkeyanxietydepressionprevalenceresiliencestressTurkeyveterinarians

Identifiers

PMID42666755
PMCPMC13522990

What OpenQuestion holds

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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.