Evidence map›Paper›PMID 41572099›Full record

ArticleResearch on child and adolescent psychopathology2026

Effects of Childhood Police Contact on Adolescent Suicidality: A Propensity Score Matched Analysis.

Sara J Schiff, Jocelyn Meza, Steve S Lee

Abstract read
In one paragraph

Article in Research on child and adolescent psychopathology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

The trial behind it

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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

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

3 authors.

Sara J SchiffDepartment of Psychology, University of California Los Angeles, 502 Portola Plaza, Franz Hall, Los Angeles, CA, 90095-1563, USA. sjschiff@g.ucla.edu.ORCID 0000-0001-9745-7952
Jocelyn MezaDepartment of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA.
Steve S LeeDepartment of Psychology, University of California Los Angeles, 502 Portola Plaza, Franz Hall, Los Angeles, CA, 90095-1563, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Youth suicide is increasingly prevalent, is a leading cause of death, and its public health burden is acute. Juvenile Legal System (JLS) involvement is an established correlate of suicidality; however, it is unclear how JLS involvement is nomologically associated with suicidality. Adolescents are situated within ecological contexts (i.e., family, schools, neighborhoods) that likely interact to modify the association of JLS involvement and suicidality. To improve predictive models, rigorous prosecution of this relationship must disentangle related risk/protective factors (i.e., sex/gender, race-ethnicity, discrimination, trauma, familism). Based on 2426 adolescents enrolled in a substudy of the Adolescent Brain and Cognitive Development Study (ABCD), we utilized propensity score matching to test the association of police contact at 10-13 years-old with suicidal outcomes (i.e., self-harm, suicidal ideation, suicide attempt) two years later, covarying for age, education, race-ethnicity, sex/gender, discrimination, adverse childhood events (ACEs), and familism. After adjusting for numerous demographic, experiential, and family-level correlates, police contact did not significantly predict suicidal outcomes two years later. Baseline ACEs positively predicted self-harm and suicidal ideation two years later. Lower familism predicted self-harm, suicidal ideation, and suicide attempts two years later. With inclusion of important risk and protective factors, JLS involvement did not uniquely predict suicidality. Factors closely related to JLS involvement (i.e., ACEs, familism) incremented risk. To address the increasing prevalence of suicidality and the disproportionate impact of suicide on JLS-impacted youth, it is critical to investigate individual and systemic factors, and how they interact, to increase risk for suicidality.

Indexed as

Adolescent BehaviorAdverse Childhood ExperiencesPoliceSuicidal IdeationSuicideSuicide, AttemptedAdolescentChildFemaleHumansMalePropensity ScoreRisk FactorsJuvenile legal systemPolice contactPreadolescenceSuicide

Identifiers

PMID41572099
PMCPMC12827341

What OpenQuestion holds

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LicenceCC BY
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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.