Evidence map›Paper›PMID 30171431›Full record

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

Demographic Moderation of the Prediction of Adolescent Alcohol Involvement Trajectories.

Nisha C Gottfredson, Blythe E Rhodes, Susan T Ennett

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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

2 citing papers in PubMed.

  1. Article
  2. I need new friends! Changes in perceived peer drinking norms and developmental outcomes across the transition to college.Journal of research on adolescence : the official journal of the Society for Research on Adolescence · 2024
    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

3 authors.

Nisha C GottfredsonGillings School of Global Public Health, University of North Carolina at Chapel Hill, 135 Dauer Drive, CB # 7440, Chapel Hill, NC, 27599, USA. gottfredson@unc.edu.ORCID 0000-0002-4765-7179
Blythe E RhodesGillings School of Global Public Health, University of North Carolina at Chapel Hill, 135 Dauer Drive, CB # 7440, Chapel Hill, NC, 27599, USA.
Susan T EnnettGillings School of Global Public Health, University of North Carolina at Chapel Hill, 135 Dauer Drive, CB # 7440, Chapel Hill, NC, 27599, USA.

Funding

THE CONTEXT OF ADOLESCENT SUBSTANCE USER01DA013459 · NIDA · UNIVERSITY OF NORTH CAROLINA CHAPEL HILL · PI ENNETT, SUSAN T · 2000 to 2004
$2.1M
The Impact of Affect Regulatory Mechanisms and Binge Eating on Drug RecoveryK01DA035153 · NIDA · UNIV OF NORTH CAROLINA CHAPEL HILL · PI GOTTFREDSON O'SHEA, NISHA · 2014 to 2018
$777k
NIDA NIH HHS K01 DA035153NIDA NIH HHS R01 DA013459
6 · The paper itself

Abstract

Several school- and family-based preventive interventions target and effectively reduce adolescent alcohol misuse. However, whether demographic groups achieve equal success with these interventions is unclear. In particular, most interventions target younger adolescents, and program effectiveness tends to be measured with majority White samples; subgroup analyses are rarely reported. We analyze longitudinal data from a sample of N = 6189 adolescents (40% Black, 60% White; 50% female) in 6th through 12th grade to quantify the degree to which age, race, and gender moderate the associations between seven well-known risk and protective factors (RPFs) that serve as common intervention targets. The RPFs that we study are drawn from social learning theory, problem behavior theory, and social control theory, including individual factors (positive alcohol expectancies and deviant behavior), family context (perceived parental involvement, perceived parent alcohol use, and access to alcohol), and peer context (descriptive and injunctive norms). Multilevel growth models allow us to conduct the demographic subgroup moderation analysis. Results suggest that these well-studied RPFs explain alcohol involvement to varying degrees, but they explain substantially more variation in alcohol involvement by White adolescents compared with Black adolescents. We find differential patterns of significance and of leading predictors of alcohol involvement as a function of age, race, and gender and the interactions thereof. These results indicate that the prevention field needs to better understand the RPFs affecting minority and high school youth in order to provide a stronger basis for alcohol prevention efforts.

Indexed as

DemographyAdolescentAdolescent BehaviorAlcohol DrinkingFemaleForecastingHumansLongitudinal StudiesMaleModels, TheoreticalParent-Child RelationsRisk AssessmentAdolescentAlcoholSubgroupsTailored interventionsTrajectories

Identifiers

PMID30171431
PMCPMC6395564

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.