Evidence map›Paper›PMID 21241952›Full record

ArticleJournal of the American Academy of Child and Adolescent Psychiatry2011

Correlates of at-risk/problem internet gambling in adolescents.

Marc N Potenza, Justin D Wareham, Marvin A Steinberg, Loreen Rugle, Dana A Cavallo, Suchitra Krishnan-Sarin, Rani A Desai

Open access · greenAbstract readMulticenter Study
In one paragraph

Article in Journal of the American Academy of Child and Adolescent Psychiatry, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 89 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
89citing papers in PubMed, 3 pooled it
16.5field-weighted citation impact, top 1% of its field
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

89 citing papers in PubMed, 3 syntheses or guidelines pooled it, 171 citations in OpenAlex.

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29 more citing papers are in PubMed but not listed here.

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

7 authors at 2 institutions in 1 country.

Marc N PotenzaYale School of Medicine, 34 Park Street, New Haven, CT 06519, USA. marc.potenza@yale.edu
Justin D Wareham
Marvin A Steinberg
Loreen Rugle
Dana A Cavallo
Suchitra Krishnan-Sarin
Rani A Desai
Yale University · USConnecticut Department of Mental Health and Addiction Services · US

Funding

Behavioral Technologies for Predicting HIV RiskR01DA018647 · NIDA · UNIV OF MARYLAND, COLLEGE PARK · PI FELTON, JULIA W · 2005 to 2014
$5.2M
fMRI of Craving in Addictions: Gender DifferencesR01DA019039 · NIDA · YALE UNIVERSITY · PI POTENZA, MARC N · 2005 to 2009
$1.6M
N-Acetyl Cysteine plus Behavioral Therapy for Nicotine Dependent Pathological GamRC1DA028279 · NIDA · UNIVERSITY OF MINNESOTA · PI GRANT, JON E · 2009 to 2010
$950k
NIDA NIH HHS D01 DA019039NIDA NIH HHS R01 DA018647NIDA NIH HHS R01 DA019039NIDA NIH HHS RC1 DA028279
6 · The paper itself

Abstract

objectiveThe Internet represents a new and widely available forum for gambling. However, relatively few studies have examined Internet gambling in adolescents. This study sought to investigate the correlates of at-risk or problem gambling in adolescents acknowledging or denying gambling on the Internet.

methodSurvey data from 2,006 Connecticut high school student gamblers were analyzed using χ(2) and logistic regression analyses.

resultsAt-risk/problem gambling was found more frequently in adolescent Internet gamblers than in non-Internet gamblers. Compared with at-risk/problem gambling in the non-Internet gambling group, at-risk/problem gambling in the Internet gambling group was more strongly associated with poor academic performance and substance use (particularly current heavy alcohol use; odds ratio 2.99; p = .03) and less strongly associated with gambling with friends (odds ratio 0.32; p = .0003). At-risk/problem gambling in the Internet and non-Internet gambling groups, respectively, was associated at p < .05, each with multiple adverse measurements including dysphoria/depression (odds ratios 1.76 and 1.96), getting into serious fights (odds ratios 2.50 and 1.93), carrying weapons (odds ratios 2.11 and 1.90), and use of tobacco (odds ratios 2.05 and 1.88 for regular use), marijuana (odds ratios 2.02 and 1.39), and other drugs (odds ratios 3.24 and 1.67).

conclusionsClinically, it is important to assess for teenagers' involvement in Internet gambling, particularly because adolescent at-risk/problem Internet gambling appears specifically associated with non-peer involvement, heavy alcohol use, and poor academic functioning.

Indexed as

InternetAdolescentConnecticutDepressionFemaleGamblingHealth SurveysHumansInterpersonal RelationsLogistic ModelsMaleMotivationRisk FactorsRisk-TakingSubstance-Related Disorders

Identifiers

PMID21241952
PMCPMC3190180
OpenAlexW1993506297

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.