Evidence map›Paper›PMID 39836146›Full record

ArticleCultural diversity & ethnic minority psychology2026

Everyday ethnic discrimination and early substance use based on hair samples in high-risk racial/ethnic minority early adolescents.

Elizabeth Jelsma, Yijie Wang, Heining Cham, Youchuan Zhang, Jinjin Yan, Zhenqiang Zhao, Margarita Alegria, Tiffany Yip

Abstract read
In one paragraph

Article in Cultural diversity & ethnic minority psychology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

8 authors.

Elizabeth JelsmaDepartment of Psychological, Health, and Learning Sciences, University of Houston.ORCID 0000-0003-0789-6017
Yijie WangDepartment of Human Development and Family Studies, Michigan State University.
Heining ChamDepartment of Psychology, Fordham University.
Youchuan ZhangDepartment of Human Development and Family Studies, Michigan State University.
Jinjin YanDepartment of Psychology, Fordham University.
Zhenqiang ZhaoDepartment of Psychology, Fordham University.
Margarita AlegriaDisparities Research Unit, Mongan Institute, Massachusetts General Hospital.
Tiffany YipDepartment of Psychology, Fordham University.

Funding

Perceived Negative Treatment and Adolescent Substance Use: Understanding Moderating Mechanisms of Sleep and Neighborhood Environment in the ABCD StudyR01MD015763 · NIMHD · MICHIGAN STATE UNIVERSITY · PI WANG, YIJIE · 2021 to 2025
$2.1M
National Institutes of Health; National Institute on Minority Health and Health DisparitiesNIMHD NIH HHS R01 MD015763
6 · The paper itself

Abstract

objectivesAlthough racially and ethnically minoritized youth are more likely to experience adverse effects of substance use, and substance use before age 14 is strongly associated with an elevated risk of later substance use disorders, there is limited research identifying risk factors for early substance use. The study examined the role of experiencing ethnic discrimination from teachers, other adults outside of school, and other students in predicting early substance use (measured with hair toxicology reports).

methodsThe study used data from the Adolescent Brain Cognitive Development Study. The analytic data were drawn from racially and ethnically minoritized participants (

resultsFrequentist and Bayesian cross-sectional logistic regressions (discrimination and substance use from the same wave) showed that experiencing ethnic discrimination from teachers was associated with an increased risk of substance use based on hair samples. Only the Bayesian analyses showed ethnic discrimination from other adults was also associated with risk of substance use reflected in hair.

conclusionsExperiencing ethnic discrimination from teachers, and possibly other adults outside of school, is a significant risk factor for early substance use. Interventions should address teacher- and adult-perpetrated discrimination to reduce the risk of early substance use. (PsycInfo Database Record (c) 2026 APA, all rights reserved).

Indexed as

EthnicityHairMinority GroupsRacismSubstance-Related DisordersAdolescentChildCross-Sectional StudiesFemaleHumansMaleRisk FactorsSchool Teachers

Identifiers

PMID39836146
PMCPMC12258391

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LicenceCC BY-NC-ND
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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.