Evidence map›Paper›PMID 23384457›Full record

ArticleAddictive behaviors2013

Substance abuse precedes Internet addiction.

Young Sik Lee, Doug Hyun Han, Sun Mi Kim, Perry F Renshaw

Open access · greenAbstract read
In one paragraph

Article in Addictive behaviors, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed
29.4field-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

45 citing papers in PubMed, 174 citations in OpenAlex.

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  10. Psycho-Social Correlates of Cyberbullying among Polish Adolescents.International journal of environmental research and public health · 2023
    Article
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  17. Cigarette Smoking and Dating App Use: Findings from a Survey in a Sample of Adults in Italy.European journal of investigation in health, psychology and education · 2021
    Article
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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

4 authors at 2 institutions in 2 countries.

Young Sik LeeDepartment of Psychiatry, Chung Ang University Hospital, Seoul, South Korea.
Doug Hyun Han
Sun Mi Kim
Perry F Renshaw
Chung-Ang University Hospital · KRUniversity of Utah · US

Funding

Mentoring in Drug Abuse NeuroimagingK05DA031247 · NIDA · UNIVERSITY OF UTAH · PI RENSHAW, PERRY FRANKLIN · 2011 to 2015
$661k
NIDA NIH HHS K05 DA031247
6 · The paper itself

Abstract

The purpose of the current study was to evaluate possible overlapping substance abuse and internet addiction in a large, uniformly sampled population, ranging in age from 13 to 18 years. Participants (N=73,238) in the current study were drawn from the 6th Korea Youth Risk Behavior Web-based Survey (KYRBWS-V) for students from 400 middle schools and 400 high schools in 16 cities within South Korea. Of adolescent internet users, 85.2% were general users (GU), 11.9% were users with potential risk for internet addiction (PR), and 3.0% were users with high risk for internet addiction (HR). There was a difference in the number of students with alcohol drinking among the GU, PR, and HR groups (20.8% vs 23.1% vs 27.4%). There was a difference in the number of students who smoked among the GS, PR, and HR groups (11.7% vs 13.5% vs 20.4%). There was a difference in the number of students with drug use among the GU, PR, and HR groups (1.7% vs 2.0% vs 6.5%). After adjusting for sex, age, stress, depressed mood, and suicidal ideation, smoking may predict a high risk for internet addiction (OR=1.203, p=0.004). In addition, drug use may predict a high risk for internet addiction (OR=2.591, p<0.001). Because students with a high risk for internet addiction have vulnerability for addictive behaviors, co-morbid substance abuse should be evaluated and, if found, treated in adolescents with internet addiction.

Indexed as

AdolescentAdolescent BehaviorAge of OnsetAlcohol DrinkingBehavior, AddictiveComorbidityFemaleHumansInternetLogistic ModelsMaleRepublic of KoreaRisk FactorsSeverity of Illness IndexSmokingSubstance-Related Disorders

Identifiers

PMID23384457
PMCPMC4651446
OpenAlexW1963986483

What OpenQuestion holds

Textmetadata
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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.