ArticleSubstance abuse : research and treatment2017
Contextual Effects of Neighborhoods and Schools on Adolescent and Young Adult Marijuana Use in the United States.
Article in Substance abuse : research and treatment, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 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
8 citing papers in PubMed.
- Individual, school, and neighborhood influences on disordered eating behaviors in adolescence and eating disorders in young adulthood.Health & place · 2026Article
- Neighborhood Social Disorganization in Early Adolescence and Substance Use Trajectories into Young Adulthood: The Moderating Role of Effortful Control and Parental Substance Use.Journal of youth and adolescence · 2026Article
- Family-Focused Prevention and Early Intervention of Substance Use in Pediatric Primary Care Settings.Focus (American Psychiatric Publishing) · 2024Article
- Individual and Community level Developmental Adversities: Associations with Marijuana and Alcohol Use in Late-Adolescents and Young Adults.Journal of youth and adolescence · 2024Article
- Adolescent individual, school, and neighborhood influences on young adult diabetes risk.Health & place · 2023Article
- Cross-classified multilevel models (CCMM) in health research: A systematic review of published empirical studies and recommendations for best practices.SSM - population health · 2020Review
- The Relative Association of Collective Efficacy in School and Neighborhood Contexts With Adolescent Alcohol Use.Journal of epidemiology · 2019Article
- Model-based and design-based inference goals frame how to account for neighborhood clustering in studies of health in overlapping context types.SSM - population health · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
Little is known about the unique contribution of schools vs neighborhoods in driving adolescent marijuana use. This study examined the relative contribution of each setting and the influence of school and neighborhood socioeconomic status on use. We performed a series of cross-classified multilevel logistic models predicting past 30-day adolescent (N = 18 329) and young adult (N = 13 908) marijuana use using data from Add Health. Marijuana use differed by age, sex, race/ethnicity, and public assistance in adjusted models. Variance parameters indicated a high degree of clustering by school (σ2 = 0.30) and less pronounced clustering by neighborhood (σ2 = 0.06) in adolescence when accounting for both levels simultaneously in a cross-classified multilevel model. Clustering by school persisted into young adulthood (σ2 = 0.08). Parental receipt of public assistance increased the likelihood of use during adolescence (odds ratio = 1.39; 95% confidence interval: 1.19-1.59), and higher parental education was associated with increased likelihood of use in young adulthood. These findings indicate that both contexts may be promising locations for intervention.
Indexed as
Identifiers
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.