Evidence map›Paper›PMID 42155625›Full record

ArticleJournal of the American Academy of Child and Adolescent Psychiatry2026

A Doubly Robust Machine Learning Procedure to Estimate Disparities by Race/Ethnicity and Sex in the Relationship Between Adverse Childhood Experiences and Suicidality.

Adrian Harris, Kara Emery, Arielle H Sheftall

Abstract read
In one paragraph

Article in Journal of the American Academy of Child and Adolescent Psychiatry, 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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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Adrian HarrisMcSilver Institute for Poverty Policy and Research, NYU Silver School of Social Work, New York, New York. Electronic address: ah5588@nyu.edu.
Kara EmeryMcSilver Institute for Poverty Policy and Research, NYU Silver School of Social Work, New York, New York.
Arielle H SheftallMcSilver Institute for Poverty Policy and Research, NYU Silver School of Social Work, New York, New York; Department of Psychiatry, University of Rochester Medical Center, Rochester, New York.

Funding

Effects of parental history of suicidal behavior on middle/late childhood: Longitudinal assessment of early markers of suicide riskR01MH125905 · NIMH · UNIVERSITY OF ROCHESTER · PI Arielle Hope Sheftall · 2022 to 2026
$2.3M
Leveraging Noninvasive Transcutaneous Vagus Nerve Stimulation and Smartphone Technology to Reduce Suicidal Behaviors and Suicide Among Highly Vulnerable AdolescentsRF1MH133226 · NIMH · UNIVERSITY OF NOTRE DAME · PI SHEFTALL, ARIELLE HOPE, VALENTINO, KRISTIN · 2025 to 2025
$1.3M
NIMH NIH HHS R01 MH125905NIMH NIH HHS RF1 MH133226
6 · The paper itself

Abstract

objectiveSuicide is a leading cause of death among youth, and adverse childhood experiences (ACEs) are established risk factors for suicidality. This study is the first to investigate disparities in the cumulative impact of ACEs in individuals with suicidal ideation only (SI+) and suicide attempt (SA+) in a current, diverse, and nationally representative sample using a causal inference analysis framework.

methodUsing the 2023 National Youth Risk Behavior Survey (YRBS) (N = 20,103), adolescent demographics, suicidal thoughts and behaviors (STBs), ACEs, and confounders (eg, bullied at school) were examined. First, bivariate differences were analyzed by race/ethnicity and sex for ACE prevalence. Next, the dose-response relationship of ACEs on suicidality was estimated with a doubly robust estimation process and tested for moderation by race/ethnicity and sex.

resultsThere were significant disparities by race/ethnicity in the types of ACEs that participants endorsed. Female adolescents saw higher prevalences across most ACEs compared to their male counterparts. For SI+ and SA+ outcomes, a dose-response effect of ACEs on suicidality was observed, with higher effects for SI+ compared to SA+. For both outcomes, disparities in this effect across race/ethnicity and sex were not observed.

conclusionThese results suggest that the number of ACEs has a similar incremental impact on the risk of youth suicidality across races/ethnicities and sex despite differences in the types of ACEs experienced (ie, emotional abuse vs physical abuse). It is critical that suicide intervention and prevention strategies better support youth experiencing ACEs; in addition, they should consider differences in prevalences of ACE types by demographics for effective risk mitigation. DIVERSITY & INCLUSION STATEMENT: We worked to ensure sex and gender balance in the recruitment of human participants. We worked to ensure race, ethnic, and/or other types of diversity in the recruitment of human participants. We worked to ensure that the study questionnaires were prepared in an inclusive way. One or more of the authors of this paper self-identifies as a member of one or more historically underrepresented racial and/or ethnic groups in science. One or more of the authors of this paper self-identifies as a member of one or more historically underrepresented sexual and/or gender groups in science. We actively worked to promote inclusion of historically underrepresented racial and/or ethnic groups in science in our author group.

Indexed as

adverse childhood experiencesdisparitiesdoubly robustmachine learningyouth suicide

Identifiers

PMID42155625
PMCPMC13471220

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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.