Evidence map›Paper›PMID 41517023›Full record

ArticleHealthcare (Basel, Switzerland)2025

Self-Dehumanization Is Related to Worse Mental Health in Veterinarians.

Annalyse Ellis, Roxanne D Hawkins, Sarah C E Stanton, Steve Loughnan

Abstract read
In one paragraph

Article in Healthcare (Basel, Switzerland), 2025. 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

4 authors.

Annalyse EllisDepartment of Psychology, School of Philosophy, Psychology, and Language Sciences, University of Edinburgh, Edinburgh EH8 9AD, UK.
Roxanne D HawkinsDepartment of Clinical and Health Psychology, School of Health in Social Science, University of Edinburgh, Edinburgh EH8 9AG, UK.
Sarah C E StantonDepartment of Psychology, School of Philosophy, Psychology, and Language Sciences, University of Edinburgh, Edinburgh EH8 9AD, UK.
Steve LoughnanDepartment of Psychology, School of Philosophy, Psychology, and Language Sciences, University of Edinburgh, Edinburgh EH8 9AD, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

objectivesVeterinarians often experience poor mental health, including higher than typical rates of depression and anxiety. Self-dehumanization, which refers to the feeling of being less than human, may reflect an important yet neglected factor in poor veterinarian mental health.

methods201 veterinarians completed an online survey consisting of demographic questions, questions regarding their practice settings, and measures of self-dehumanization, depression, anxiety, burnout, and secondary traumatic stress.

resultsAbout 10% of veterinarians reported self-dehumanization. Most veterinarians had clinically significant symptoms of depression and anxiety, as well as moderate levels of burnout and secondary traumatic stress. Burnout and secondary traumatic stress positively predicted anxiety, while burnout, secondary traumatic stress, and self-dehumanization positively predicted depression. Cross-sectional mediation analyses indicated that burnout and secondary traumatic stress both significantly mediated the links between self-dehumanization and anxiety, and self-dehumanization and depression.

conclusionsThis study provides new insight into the role of self-dehumanization in the poor mental health of veterinarians, which has implications for the development of preventative measures.

Indexed as

anxietyburnoutdepressionsecondary traumatic stressself-dehumanizationveterinary

Identifiers

PMID41517023
PMCPMC12785282

What Socratic holds

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LicenceCC BY
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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 Socratic graph.