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Record W4415455189 · doi:10.1177/10497323251367917

The Gendered Barriers to Men’s Mental Health Peer Support: A Photovoice Study

2025· article· en· W4415455189 on OpenAlexafffundabout
Paul Sharp, Nina Gao, Patricia Zhu, Raymond Chou, John S. Ogrodniczuk, Zac E. Seidler, Simon Rice, John L. Oliffe

Bibliographic record

VenueQualitative Health Research · 2025
Typearticle
Languageen
FieldHealth Professions
TopicMental Health and Patient Involvement
Canadian institutionsUniversity of British Columbia
FundersGovernment of Canada
KeywordsPhotovoiceMental healthThematic analysisNormativeQualitative researchPeer supportSocial supportPeer review

Abstract

fetched live from OpenAlex

While men’s mental health help-seeking has received increased clinical and research attention, little information exists regarding men’s perspectives and experiences of peer support and mutual help for mental health challenges. Drawing on qualitative photovoice interviews with 65 men living in Canada ( M = 37; SD = 15.5 years), thematic analyses were conducted to explore the gendered barriers to men’s mental health peer support. Two inductively derived themes were identified. Dual paradoxes fuelling men’s silence revealed a complex interplay of tensions and alignments with traditional masculine norms, often leading to concealment and therefore inaction. Men struggled to reach out to male peers, despite their willingness to help others and broader societal encouragement to seek help. Relational masculine norms driving misaligned support revealed risks and vulnerabilities for men seeking peer support, with concerns about asking for too much or over-disclosing when opportunities arose. Men’s requests for support were often implicit or vaguely defined, which contributed to their unmet support needs, despite well-intentioned efforts from peers. When men did receive support, it was often conditional and contextually bound within acceptable masculine milieus. Findings highlight how men’s intentions and actions toward mental health peer support can be constrained by perceived normative masculine identities and relations. To reify the potential of men’s peer support, gendered barriers must be thoughtfully considered and addressed to promote men’s mental health and informal help-seeking.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.081
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.481
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0810.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0180.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0010.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.703
GPT teacher head0.696
Teacher spread0.007 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes3
Has abstractyes

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