Evidence map›Paper›PMID 29504048›Full record

ArticlePrevention science : the official journal of the Society for Prevention Research2019

The Interplay Between Marijuana-Specific Risk Factors and Marijuana Use Over the Course of Adolescence.

Katarina Guttmannova, Martie L Skinner, Sabrina Oesterle, Helene R White, Richard F Catalano, J David Hawkins

Abstract read
In one paragraph

Article in Prevention science : the official journal of the Society for Prevention Research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

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.

3 · Its place in the literature

Who cites it

22 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  8. Community-Based Prevention of Substance Use in Adolescents: Outcomes Before and During the COVID-19 Pandemic in Santiago, Chile.Prevention science : the official journal of the Society for Prevention Research · 2024
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  19. Review
  20. Marijuana Use among Adolescents and Emerging Adults in the Midst of Policy Change: Introduction to the Special Issue.Prevention science : the official journal of the Society for Prevention Research · 2019
    Article
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

6 authors.

Katarina GuttmannovaCenter for the Study of Health and Risk Behaviors, Department of Psychiatry and Behavioral Sciences, University of Washington, Box 356560, Seattle, WA, 98195-6560, USA. kg27@uw.edu.
Martie L SkinnerSocial Development Research Group, School of Social Work, University of Washington, 9725 3rd Ave. NE, Suite 401, Seattle, WA, 98115, USA.
Sabrina OesterleSocial Development Research Group, School of Social Work, University of Washington, 9725 3rd Ave. NE, Suite 401, Seattle, WA, 98115, USA.
Helene R WhiteCenter of Alcohol Studies and Sociology Department, Rutgers - The State University of New Jersey, 607 Allison Rd, Piscataway Township, NJ, 08854, USA.
Richard F CatalanoSocial Development Research Group, School of Social Work, University of Washington, 9725 3rd Ave. NE, Suite 401, Seattle, WA, 98115, USA.
J David HawkinsSocial Development Research Group, School of Social Work, University of Washington, 9725 3rd Ave. NE, Suite 401, Seattle, WA, 98115, USA.

Funding

The Community Youth Development Study: A Test of Communities That CareR01DA015183 · NIDA · UNIVERSITY OF WASHINGTON · PI HAWKINS, J DAVID, OESTERLE, SABRINA · 2003 to 2016
$34.0M
The interplay of social, normative, and legal marijuana environments and marijuana and ATOD use from late childhood to young adulthoodR56DA044522 · NIDA · UNIVERSITY OF WASHINGTON · PI OESTERLE, SABRINA · 2017 to 2017
$350k
NIDA NIH HHS R01 DA015183NIDA NIH HHS R01 DA015183-12NIDA NIH HHS R56 DA044522
6 · The paper itself

Abstract

Permissive attitudes and norms about marijuana use and perceptions of low harm from use are considered risk factors for adolescent marijuana use. However, the relationship between risk and use may be reciprocal and vary across development and socializing domains. We examined the bidirectional relationships between marijuana-specific risk factors in individual, parent, peer, and community domains and adolescent marijuana use. Longitudinal data came from a sample of 2002 adolescents in 12 communities. Controlling for sociodemographic covariates and communities in which the individuals resided, autoregressive cross-lagged models examined predictive associations between the risk factors and marijuana use. After accounting for concurrent relationships between risk and use and stability in behavior over time, early adolescence and the transition to high school were particularly salient developmental time points. Specifically, higher risk in all four domains in grades 7 and 9 predicted greater use 1 year later. Moreover, youth's perception of lax community enforcement of laws regarding adolescent use at all time points predicted increases in marijuana use at the subsequent assessment, and perceived low harm from use was a risk factor that prospectively predicted more marijuana use at most of the time points. Finally, greater frequency of marijuana use predicted higher levels of risk factors at the next time point in most socializing domains throughout adolescence. Prevention programs should take into account developmental transitions, especially in early adolescence and during the transition to high school. They also should focus on the reciprocal relationships between use and risk across multiple socializing domains.

Indexed as

AdolescentAdolescent BehaviorAlcohol DrinkingFemaleHumansMaleMarijuana AbuseMarijuana SmokingMarijuana UsePeer GroupRisk FactorsSocial BehaviorViolenceAdolescenceDynamic relationshipMarijuana-specific risk factorsMarijuana use

Identifiers

PMID29504048
PMCPMC6123306

What OpenQuestion holds

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Registered trials

None linked

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.