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ArticlePsychiatry investigation2017

The Hierarchical Implications of Internet Gaming Disorder Criteria: Which Indicate more Severe Pathology?

Seung-Yup Lee, Hae Kook Lee, Hyunsuk Jeong, Hyeon Woo Yim, Soo-Young Bhang, Sun-Jin Jo, Kyung-Young Baek, Eunjin Kim, Min Seob Kim, Jung-Seok Choi and 1 more

Abstract read
In one paragraph

Article in Psychiatry investigation, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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

11 authors.

Seung-Yup LeeDepartment of Psychiatry, Uijeongbu St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Uijeongbu, Republic of Korea.
Hae Kook LeeDepartment of Psychiatry, Uijeongbu St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Uijeongbu, Republic of Korea.
Hyunsuk JeongDepartment of Preventive Medicine, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
Hyeon Woo YimDepartment of Preventive Medicine, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
Soo-Young BhangDepartment of Psychiatry, Eulji Hospital, College of Medicine, Eulji University, Seoul, Republic of Korea.
Sun-Jin JoDepartment of Preventive Medicine, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
Kyung-Young BaekDepartment of Preventive Medicine, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
Eunjin KimDepartment of Preventive Medicine, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
Min Seob KimDepartment of Psychiatry, Uijeongbu St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Uijeongbu, Republic of Korea.
Jung-Seok ChoiDepartment of Psychiatry, SMG-SNU Boramae Medical Center, Seoul, Republic of Korea.
Yong-Sil KweonDepartment of Psychiatry, Uijeongbu St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Uijeongbu, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo explore the structure of Internet gaming disorder (IGD) criteria and their distribution according to the different severity level of IGD. The associations of psychiatric comorbidities to each IGD symptom and to the IGD severity were also investigated.

methodsConsecutively recruited 330 Korean middle school students underwent face-to-face diagnostic interviews to assess their gaming problems by clinicians. The psychiatric comorbidities were also evaluated with a semi-structured instrument. The data was analyzed using principal components analysis and the distribution of criteria among different severity groups was visualized by plotting univariate curves.

resultsTwo principal components of 'Compulsivity' and 'Tolerance' were extracted. 'Decrease in other activities' and 'Jeopardizing relationship/career' may indicate a higher severity of IGD. While 'Craving' deserved more recognition in clinical utility, 'Tolerance' did not demonstrate much difference in distribution by the IGD severity. Internalizing and externalizing psychiatric disorders differed in distribution by the IGD severity.

conclusionA hierarchic presentation of IGD criteria was revealed. 'Decrease in other activities' and 'Jeopardizing relationship/career' may represent a higher severity, thus indicating more clinical attention to such symptoms. However, 'Tolerance' was not found to be a valid diagnostic criterion.

Indexed as

Diagnostic criteriaHierarchyInternet gaming disorderPrincipal components analysisSeverity

Identifiers

PMID28539943
PMCPMC5440427

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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.