Evidence map›Paper›PMID 41994173›Full record

ArticleArXiv2026

Time-Varying Environmental and Polygenic Predictors of Substance Use Initiation in Youth: A Survival and Causal Modeling Study in the ABCD Cohort.

Mengman Wei, Qian Peng

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In one paragraph

Article in ArXiv, 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

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

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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

2 authors.

Mengman WeiDepartment of Neuroscience, The Scripps Research Institute, 10550 N Torrey Pines Rd, La Jolla, 92037, CA, U.S.
Qian PengDepartment of Neuroscience, The Scripps Research Institute, 10550 N Torrey Pines Rd, La Jolla, 92037, CA, U.S.

Funding

Neurpsychopharmacology-Multidisciplinary TrainingT32AA007456 · NIAAA · SCRIPPS RESEARCH INSTITUTE, THE · PI MARISA ROBERTO · 1985 to 2026
$13.4M
Identifying specific genetic pathway interactions for drug use and abuse through integrative omicsDP1DA054373 · NIDA · SCRIPPS RESEARCH INSTITUTE, THE · PI PENG, QIAN · 2021 to 2025
$2.7M
NIAAA NIH HHS T32 AA007456NIDA NIH HHS DP1 DA054373
6 · The paper itself

Abstract

Background: Early initiation of alcohol, nicotine, cannabis, and other substances is a robust predictor of later substance use disorders and related psychopathology. We integrate time-varying environmental factors with polygenic risk scores (PRS) in a longitudinal framework to identify risk factors influencing substance initiation in adolescents. Methods: We analyzed data from the Adolescent Brain Cognitive Development (ABCD) Study Results: In univariate models, earlier initiation was broadly associated with multiple time-varying variables, including impulsivity and externalizing behaviors, sleep disturbance, parenting and monitoring, medication and caffeine use, school functioning and absenteeism, and cultural or value-based measures, alongside other mental health and behavioral factors. In multivariable Cox models, a smaller subset of environmental predictors remained robustly associated with the hazard of initiation across alcohol, nicotine, cannabis, and any substance, highlighting consistent signals in impulsivity traits, parental monitoring, and select health and lifestyle factors. PRS for alcohol use disorder (AUD), cannabis use disorder (CUD), nicotine dependence, and any SUD were positively associated with earlier initiation (hazard ratio [HR] > 1), with the strongest and most consistent signal observed for nicotine PRS (e.g., alcohol initiation HR ≈ 2.37; any-substance initiation HR ≈ 2.98). AUD PRS showed weaker associations for alcohol initiation but stronger associations for any-substance initiation. Causal analyses suggested that parental monitoring (PMQ mean), UPPS lack of planning, UPPS sensation seeking, and caffeine exposure may influence time to initiation: higher parental monitoring was protective (odds ratio [OR] ≈ 0.33-0.64), whereas higher impulsivity traits and caffeine exposure were associated with increased risk (OR ≈ 1.47-3.87) across outcomes, with conclusions robust across weighting specifications. Conclusions: Integrating time-varying environmental predictors with polygenic risk in a survival framework helps identify environmental factors most strongly associated with earlier substance use initiation beyond genetic liability. Follow-up causal analyses further highlight potentially actionable pathways, particularly parenting and monitoring and impulsivity-related traits, that may contribute to the developmental trajectory leading to adolescent substance use disorders.

Indexed as

ABCD Studyadolescenceenvironmental factorsmarginal structural modelpolygenic risk scoresubstance use initiationtime-varying Cox model

Identifiers

PMID41994173
PMCPMC13082135

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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.