Evidence map›Paper›PMID 42444086›Full record

ArticleJournal of community psychology2026

Exploring Suicide Risk From an Intersectionality Framework.

Kelley Cook, Adam Zhao

Abstract read
In one paragraph

Article in Journal of community psychology, 2026. 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

2 authors.

Kelley CookCollege of Community and Public Affairs, Binghamton University, University Downtown Center, Binghamton, New York, USA.ORCID 0000-0003-0214-5337
Adam ZhaoCollege of Community and Public Affairs, Binghamton University, University Downtown Center, Binghamton, New York, USA.ORCID 0000-0003-3605-3254

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lesbian, gay, bisexual, transgender, and queer or questioning (LGBTQ+) people face unique societal stressors while concerning trends in suicidality for communities of color necessitate further examination of how marginalization contributes to suicide risk. From a foundation of minority stress and intersectionality theory, we investigated suicide risk across multiple marginalized identities. The present study explored the associations between marginalized ethnic and cultural backgrounds, genders, and sexual orientations with suicide risk using a three-way interaction term to analyze data from the publicly available Transgender Population Health Study, while accounting for age, assigned sex at birth, household income, distress, and social support. Relative to White-cisgender-heterosexual people, people marginalized based on ethnic and cultural backgrounds, gender, and sexual orientation had the highest associated increase in suicide risk amongst any other group with single or multiple marginalized identities (β = 1.90, RSE = 0.38, t = 5.44, p < 0.001, 95% CI [1.16, 2.64]). However, relative to White-cisgender-heterosexual people, marginalization based on ethnic and cultural background alone and with sexual orientation had no significant association with suicide risk. Providers must be trained in culturally responsive and gender-affirming practices, particularly given multiple marginalization may be associated with higher suicide risk. Future research should continue to explore multiple marginalization and suicide risk, risk assessments, and prevention efforts.

Indexed as

Sexual and Gender MinoritiesSocial MarginalizationSuicideAdultEthnicityFemaleHumansMaleMiddle AgedRisk FactorsSocial SupportWhiteYoung AdultintersectionalityLGBTQ+ peopleprotective factorsrisk factorssuicide

Identifiers

PMID42444086
PMCPMC13365642

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.