Evidence map›Paper›PMID 40597350›Full record

ArticleInternational journal for equity in health2025

Gender-biased diagnosis and treatment of depression: considering our blind eye on men's depression.

Andreas Walther

Abstract read
In one paragraph

Article in International journal for equity in health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
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

1 author.

Andreas WaltherClinical Psychology and Psychotherapy, University of Zurich, Binzmühlestrasse 14, Zurich, 8050, Switzerland. a.walther@psychologie.uzh.ch.ORCID 0000-0003-4516-1783

Funding

Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung PZPGP1_201757
6 · The paper itself

Abstract

The commentary explores the critical issue of gender bias in the diagnosis and treatment of depression, responding to the study by Bacigalupe et al. [3] that highlights disparities in mental health care for older adults. While acknowledging the study's strengths, it argues for deeper exploration into systemic biases and gendered symptomatology. Women's frequent healthcare interactions increase their likelihood of diagnosis and treatment, while men's reluctance to seek help often results in delayed or missed diagnoses, further complicated by male-typical externalizing symptoms like aggression, risk-taking, and substance abuse. Traditional diagnostic tools and criteria, rooted in prototypical internalizing symptoms, fail to adequately capture these male-typical presentations.The commentary also underscores the role of traditional masculinity ideologies (TMI) in shaping men's mental health behaviors. These socially constructed norms promote emotional suppression and self-reliance, exacerbating gender role conflict, dysfunction and discrepancy stress, thereby reducing help-seeking behaviors. High conformity to TMI correlates with poor therapeutic outcomes, higher dropout rates, and diminished treatment efficacy. The commentary critiques the dual bias evident in overmedicalizing women's mental health while neglecting masculine expressions of distress, advocating for gender-sensitive diagnostic reforms.In conclusion, the commentary calls for equitable mental health care frameworks that recognize diverse depressive manifestations across genders. Addressing these biases through gender-sensitive practices and diagnostic adjustments can bridge disparities, reduce over- or under-treatment, and foster inclusivity in mental health care systems, ensuring better outcomes for all individuals.

Indexed as

DepressionSexismFemaleHealthcare DisparitiesHumansMaleMasculinity

Identifiers

PMID40597350
PMCPMC12211352

What Socratic holds

Textmetadata
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.