Evidence map›Paper›PMID 41432589›Full record

ArticleJournal of the International Association of Providers of AIDS Care

Exploring Social and Structural Determinants of Substance Use Among Sexual and Gender Minority Adults in the United States.

Chen Zhang, Yao Tang, Wonkyung Kniffen, Yu Liu

Abstract read
In one paragraph

Article in Journal of the International Association of Providers of AIDS Care. 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

4 authors.

Chen ZhangSchool of Nursing, University of Rochester, Rochester, New York, USA.ORCID 0000-0002-8771-561X
Yao TangDepartment of Computer Science, University of Rochester, Rochester, New York, USA.
Wonkyung KniffenDepartment of Psychiatry, University of Rochester, Rochester, New York, USA.
Yu LiuSchool of Medicine and Dentistry, University of Rochester, Rochester, New York, USA.ORCID 0000-0002-2515-4431

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PurposeTo identify key social and structural factors associated with hazardous alcohol and problematic drug use among sexual and gender minority (SGM) adults.MethodsWe conducted a cross-sectional secondary analysis of 2016 to 2019 data from the Generations Study, a probability sample of 1518 SGM adults. Hazardous alcohol and problematic drug use were measured using the Alcohol Use Disorder Identification Test-Consumption (AUDIT-C) and Drug Use Disorder Identification Test (DUDIT). Candidate predictors included sociodemographic characteristics, minority stressors, adverse childhood experiences, health indicators, and social support. Interpretable machine-learning models with SHapley Additive exPlanations characterized multilevel correlates of 3-level risk categories.ResultsHazardous alcohol use was linked to past smoking, lower social support, cancer history, housing instability, and identity-related stressors. Problematic drug use was linked to conversion-therapy exposure, housing discrimination, legal encounters, and mental-health indicators; prediction was more accurate for drug- than alcohol-use risk.ConclusionStructural vulnerability, discrimination, and identity-related stressors emerged as intervention targets to reduce substance-use disparities in SGM adults.

Indexed as

Sexual and Gender MinoritiesSubstance-Related DisordersAdultCross-Sectional StudiesFemaleHumansMaleMiddle AgedRisk FactorsSocial SupportUnited StatesYoung Adulthealth disparitiesminority stresssexual and gender minoritiesstructural determinantssubstance use

Identifiers

PMID41432589
PMCPMC12741260

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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.