Evidence map›Paper›PMID 41962693›Full record

ArticleAmerican journal of preventive medicine2026

Trends in Associations Between Substance Use and Suicidality and Patterns of Current Substance Use in U.S. Adolescents: A Repeated Cross-Sectional Study.

Caroline Andy, Xiafei Wang, Jacob B Parquet, Adriel A Strickland, Fabiola Etienne, Veer Vekaria, Wenna Xi

Abstract read
In one paragraph

Article in American journal of preventive medicine, 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

7 authors.

Caroline AndyDepartment of Population Health Sciences, Weill Cornell Medicine, New York, New York.
Xiafei WangCollege of Social Work, University of Kentucky, Lexington, Kentucky.
Jacob B ParquetDepartment of Population Health Sciences, Weill Cornell Medicine, New York, New York; Department of Biostatistics, New York University School of Global Public Health, New York, New York.
Adriel A StricklandDepartment of Population Health Sciences, Weill Cornell Medicine, New York, New York.
Fabiola EtienneDepartment of Population Health Sciences, Weill Cornell Medicine, New York, New York; Department of Biostatistics, New York University School of Global Public Health, New York, New York.
Veer VekariaDepartment of Population Health Sciences, Weill Cornell Medicine, New York, New York.
Wenna XiDepartment of Population Health Sciences, Weill Cornell Medicine, New York, New York; Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois. Electronic address: wenna.xi@northwestern.edu.

Funding

Risk and protective factors for Black youth suicide and suicidal ideation and behaviorsR00MH130713 · NIMH · NORTHWESTERN UNIVERSITY · PI Wenna Xi · 2025 to 2026
$498k
NIMH NIH HHS R00 MH130713
6 · The paper itself

Abstract

introductionSubstance use and suicidal thoughts and behaviors among U.S. adolescents are both major public health concerns. Despite extensive research establishing a link between substance use and suicidal thoughts and behaviors, little is known about how this relationship has evolved over time. Understanding the changes in these associations may illuminate factors driving the rise in adolescent suicidal thoughts and behaviors and guide public health interventions.

methodsThe 1991-2021 national survey data from the Youth Risk Behavior Surveillance System were analyzed. Race and ethnicity-specific changes in the associations between each of the 12 substance use variables and 4 suicidal thoughts and behaviors outcomes (suicidal ideation, suicide planning, suicide attempts, injurious suicide attempts) were assessed, by fitting logistic regression models with 3-way interactions between time, substance use, and race and ethnicity, while adjusting for age and sex and accounting for the complex survey design. Current (2017-2021) adolescent substance use patterns were then identified using an unsupervised clustering approach Uniform Manifold Approximation and Projection-Hierarchical Density-Based Spatial Clustering of Applications with Noise.

resultsTemporal trends varied by race and ethnicity for 36 of the 48 substance use and suicidal thoughts and behaviors combinations. Electronic vaping was unique in its nondecreasing association with all suicidal thoughts and behaviors measures across all racial and ethnic groups (slopes [annual log-odds change] varied between 0.03 and 0.36). Although cigarette use showed declining associations with suicidal thoughts and behaviors among White adolescents, alcohol, heroin, injected drug, and methamphetamine use showed divergent trends across racial and ethnic groups. Clustering analysis identified 5 substance use behavioral phenotypes, including nonusers (45.51%), poly- or illicit- users (20.84%), and other specific usage patterns (33.65%), with poly- or illicit- users reporting the highest rates of suicidal thoughts and behaviors (31% suicidal ideation, 26% suicide planning, 16% suicide attempts, 6.3% injurious suicide attempts).

conclusionsThe finding that electronic vaping consistently showed an increasing association with all suicidal thoughts and behaviors measures highlight the urgency of implementing suicide prevention programs targeting adolescents who vape. Future research is needed to unveil the specific substance or combination of substances that contribute to the elevated risk of suicidal thoughts and behaviors among poly- or illicit- users.

Indexed as

Adolescent BehaviorSubstance-Related DisordersSuicidal IdeationSuicideSuicide, AttemptedAdolescentCross-Sectional StudiesFemaleHumansMaleUnited States

Identifiers

PMID41962693
PMCPMC13151243

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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.