Evidence map›Paper›PMID 41868985›Full record

ArticleMental health & prevention2025

Using network analysis to identify risk and protective factors for mental health in LGBTQ+ youth.

Hana-May Eadeh, G Nic Rider, Samantha E Lawrence, Amy L Gower, Ryan J Watson, Ka I Ip, Marla E Eisenberg

Abstract read
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In one paragraph

Article in Mental health & prevention, 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

7 authors.

Hana-May EadehDepartment of Medicine, Hennepin Healthcare Research Institute, Minneapolis, MN, USA.ORCID 0000-0002-4916-0828
G Nic RiderInstitute for Sexual and Gender Health, Department of Family Medicine and Community Health, University of Minnesota Medical School, Minneapolis, MN, USA.
Samantha E LawrenceSchool of Social Work, University of Connecticut, Hartford, Connecticut, USA.
Amy L GowerDivision of General Pediatrics and Adolescent Health, Department of Pediatrics, University of Minnesota, Minneapolis, MN, USA.
Ryan J WatsonDepartment of Human Development and Family Sciences, University of Connecticut, Storrs, Connecticut, USA.
Ka I IpInstitute of Child Development, University of Minnesota, MN, USA.
Marla E EisenbergDivision of General Pediatrics and Adolescent Health, Department of Pediatrics, University of Minnesota, Minneapolis, MN, USA.

Funding

Adolescent health at the intersections of sexual, gender, racial/ethnic, immigrant identities and native language: a supplementary study of HIV/AIDS preventive behaviorsR01MD015722 · NIMHD · UNIVERSITY OF MINNESOTA · PI EISENBERG, MARLA E. · 2021 to 2024
$2.9M
PrEP and substance use among sexual minority young adultsK01DA047918 · NIDA · UNIVERSITY OF CONNECTICUT STORRS · PI WATSON, RYAN J · 2019 to 2023
$952k
Exploring health equity for Asian American, Native Hawaiian, and Pacific Islander Adolescents in a large epidemiologic study: Intersections of ethnicity, sexual orientation, and gender identityR21MD018469 · NIMHD · UNIVERSITY OF MINNESOTA · PI RIDER, G. NIC · 2023 to 2024
$419k
NIDA NIH HHS K01 DA047918NIMHD NIH HHS R01 MD015722NIMHD NIH HHS R21 MD018469
6 · The paper itself

Abstract

Objective: Youth with marginalized gender and sexual identities, or lesbian, gay, bisexual, transgender, queer, and/or questioning youth (LGBTQ+) are at heightened risk for mental health concerns due to oppressive social contexts. To guide clinical practice and address health disparities for LGBTQ+ youth, researchers must identify central and influential risk and protective factors that have the greatest potential to affect mental health. Method: Network analysis was used to model the complex relationships between risk factors, protective factors, mental health, and personal identities (gender, sexual, and racial and ethnic identities) among LGBTQ+ youth in a large statewide cross-sectional dataset from Minnesota (N = 24,400, Results: The three grade networks were similar in density and overall pattern of centrality metrics. Bias-based bullying variables, regardless of grade, and three substance use variables were central nodes across networks. School safety and empowerment were the protective factor variables with the highest expected influence values. Conclusions: Results indicate that bias-based bullying has a significant impact on mental health and other risk factors, replicating previous studies. Implications for prevention of mental health concerns include reducing bias-based bullying and substance use, the importance of early and accurate identification of mental health concerns, and increasing protective factors early on.

Indexed as

AdolescentsBias-based bullyingLGBTQ+Mental healthNetwork analysis

Identifiers

PMID41868985
PMCPMC13004072

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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.