ArticleDevelopmental cognitive neuroscience2018
A brief validated screen to identify boys and girls at risk for early marijuana use.
Article in Developmental cognitive neuroscience, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 12 papers.
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.
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.
Who cites it
12 citing papers in PubMed, 15 citations in OpenAlex.
- Screening Children for Risk of Frequent Substance Use in Young Adulthood: A 17-Year Prospective, National Study.Journal of studies on alcohol and drugs · 2026Article
- Substance use patterns in 9 to 13-year-olds: Longitudinal findings from the Adolescent Brain Cognitive Development (ABCD) study.Drug and alcohol dependence reports · 2022Article
- Validating a brief screening measure for early-onset substance use during adolescence in a diverse, nationwide birth cohort.Addictive behaviors · 2022Article
- Intersection between social inequality and emotion regulation on emerging adult cannabis use.Drug and alcohol dependence reports · 2022Article
- A prospective investigation of youth alcohol experimentation and reward responsivity in the ABCD study.Frontiers in psychiatry · 2022Article
- An update on the assessment of culture and environment in the ABCD Study®: Emerging literature and protocol updates over three measurement waves.Developmental cognitive neuroscience · 2021Article
- Substance use patterns in 9-10 year olds: Baseline findings from the adolescent brain cognitive development (ABCD) study.Drug and alcohol dependence · 2021Article
- Familial factors may not explain the effect of moderate-to-heavy cannabis use on cognitive functioning in adolescents: a sibling-comparison study.Addiction (Abingdon, England) · 2021Observational
- Neurocognitive Correlates of Adolescent Cannabis Use: An Overview of Neural Activation Patterns in Task-Based Functional MRI Studies.Journal of pediatric neuropsychology · 2020Article
- Cannabis and the developing brain: What does the evidence say?Birth defects research · 2019Review
- Assessment of culture and environment in the Adolescent Brain and Cognitive Development Study: Rationale, description of measures, and early data.Developmental cognitive neuroscience · 2018Review
- Implications of the ABCD study for developmental neuroscience.Developmental cognitive neuroscience · 2018Article
Corrections and comments
- Erratum issuedErratum.2020
Authors and funding
6 authors at 3 institutions in 1 country.
Funding
Abstract
To guide recruitment, the ABCD Study requires a method for identifying children at high risk for early-onset substance use that may be utilized during the recruitment process. This study was undertaken to inform the development of a brief screen for identifying youths' risk of early-onset substance use and other adverse outcomes. To be acceptable by participants in this context, consideration of potential items was limited to child characteristics previously determined to be potentially pertinent and parental cigarette smoking. To focus the analyses on a single target substance use outcome pertinent to the stated goals of the ABCD Study, early-onset marijuana use was selected. Utilizing data collected prior to the initiation of the ABCD Study, four longitudinal data sets were used in nine secondary data analyses to test, replicate and validate a brief screening assessment for boys and girls to identify those at risk for early-onset marijuana use by ages 14-15. The combination of child externalizing problems reported by the parent (4 items: destroys things belonging to his/her family or others; disobedience at school; lying or cheating; steals outside the home) and parent smoking (1 item) proved to be the optimal screen. This was largely replicated across the four data sets. Indicators of predictive efficiency were modest in magnitude and statistically significant in 8 out of the 9 analyses. The results informed the screen's optimal threshold for identifying children at risk for early-onset marijuana use. The addition of child internalizing problems did not improve these predictions. Further analyses showed the predictive utility of the screen for several other substance use outcomes at ages 15 to 18, including alcohol and nicotine use. The results support the use of a short screening assessment to identify youth at risk for early-onset substance use in the ABCD Study and other research.
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What OpenQuestion holds
Registered trials
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.