Evidence map›Paper›PMID 29383939›Full record

ArticleJournal of behavioral addictions2018

The validation of Implicit Association Test measures for smartphone and Internet addiction in at-risk children and adolescents.

Daeyoung Roh, Soo-Young Bhang, Jung-Seok Choi, Yong Sil Kweon, Sang-Kyu Lee, Marc N Potenza

Abstract readValidation Study
In one paragraph

Article in Journal of behavioral addictions, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

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

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  14. Maternal Depression and Children's Screen Overuse.Journal of Korean medical science · 2018
    Observational
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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

6 authors.

Daeyoung Roh1 Mind-neuromodulation Laboratory, Department of Psychiatry, Hallym University College of Medicine , Chuncheon, Republic of Korea.
Soo-Young Bhang2 Department of Psychiatry, Eulji University School of Medicine, Eulji University Eulji Hospital , Seoul, Republic of Korea.
Jung-Seok Choi3 Department of Psychiatry, SMG-SNU Boramae Medical Center , Seoul, Republic of Korea.
Yong Sil Kweon5 Department of Psychiatry , Uijeongbu St. Mary's Hospital, College of Medicine, Catholic University , Seoul, Republic of Korea.
Sang-Kyu Lee1 Mind-neuromodulation Laboratory, Department of Psychiatry, Hallym University College of Medicine , Chuncheon, Republic of Korea.
Marc N Potenza6 Departments of Psychiatry and Neuroscience , Child Study Center, The National Center on Addiction and Substance Abuse (CASA Columbia), Yale University School of Medicine , New Haven, CT, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background Potential concerns are increasing that smartphone and Internet addictions may have deleterious effects on the mental health. Despite the recognition of the important role that implicit associations may have over explicit processes in addiction, such implicit associations have not been comprehensively investigated with respect to Internet addiction. Therefore, we modified the Implicit Association Test (IAT) for smartphone and Internet addictions and investigated its validity in children and adolescents. Methods In this experimental study, 78 at-risk children and adolescents ranging in age from 7 to 17 years completed an IAT modified with pictures captured from the most popular Internet games among youth. Furthermore, measures of Internet and smartphone addictions, mental health and problem behaviors, impulsive tendencies, self-esteem, daily stress, and quality of life were assessed simultaneously. Results Significant correlations were found between IAT D2SD scores and standardized scales for Internet (r = .28, p < .05) and smartphone (r = .33, p < .01) addictions. There were no significant correlations between IAT parameters and other scales measuring the constructs that are less relevant to the features of addiction, such as daily stress levels, impulsivity, and quality of life. Multiple regression analysis revealed that the IAT D2SD was independently and positively associated with smartphone addiction (p = .03) after controlling for other clinical correlates. Conclusions This study demonstrated good convergent and discriminant validity of this IAT as a novel measurement relating to Internet and smartphone addictions. Further longitudinal and prospective studies are needed to evaluate its potential utility in clinical and community settings.

Indexed as

InternetSmartphoneAdolescentBehavior, AddictiveChildCross-Sectional StudiesFemaleHumansImpulsive BehaviorMalePsychiatric Status Rating ScalesQuality of LifeRegression AnalysisStress, PsychologicalSurveys and Questionnairesadolescentimplicit associationInternet addictionsmartphone addiction

Identifiers

PMID29383939
PMCPMC6035023

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LicenceCC BY-NC
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Registered trials

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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.