Evidence map›Paper›PMID 26864440›Full record

ReviewAmerican journal of men's health2018

Reviewing the Assumptions About Men's Mental Health: An Exploration of the Gender Binary.

Dena T Smith, Dawne M Mouzon, Marta Elliott

Abstract readComparative StudyReview
In one paragraph

Review in American journal of men's health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 103 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
103citing papers in PubMed, 1 pooled it
–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

103 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  13. Silent Scars: Distinguishing the Psychiatric Morbidities Following Burn Injuries Between Males and Females.Journal of burn care & research : official publication of the American Burn Association · 2026
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  16. Gender Differences and Comorbidities in Major Depression.Advances in experimental medicine and biology · 2026
    Review
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43 more citing papers are in PubMed but not listed here.

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.

Dena T Smith1 University of Maryland, Baltimore County, MD, USA.
Dawne M Mouzon2 Rutgers, The State University of New Jersey, New Brunswick, NJ, USA.
Marta Elliott3 University of Nevada, Reno, NV, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Many researchers take for granted that men's mental health can be explained in the same terms as women's or can be gauged using the same measures. Women tend to have higher rates of internalizing disorders (i.e., depression, anxiety), while men experience more externalizing symptoms (i.e., violence, substance abuse). These patterns are often attributed to gender differences in socialization (including the acquisition of expectations associated with traditional gender roles), help seeking, coping, and socioeconomic status. However, measurement bias (inadequate survey assessment of men's experiences) and clinician bias (practitioner's subconscious tendency to overlook male distress) may lead to underestimates of the prevalence of depression and anxiety among men. Continuing to focus on gender differences in mental health may obscure significant within-gender group differences in men's symptomatology. In order to better understand men's lived experiences and their psychological well-being, it is crucial for scholars to focus exclusively on men's mental health.

Indexed as

Gender IdentityInternal-External ControlMen's HealthMental HealthAdaptation, PsychologicalAdultAge FactorsDepressionFemaleHumansInterpersonal RelationsMaleMenMiddle AgedSocioeconomic FactorsUnited Statesdepressionmental healthsocial determinants of health

Identifiers

PMID26864440
PMCPMC5734543

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.