Evidence map›Paper›PMID 33794827›Full record

ArticleBMC psychiatry2021

In search of the optimum structural model for Internet Gaming Disorder.

Vasileios Stavropoulos, Rapson Gomez, Mark D Griffiths

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC psychiatry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Vasileios StavropoulosInstitute for Health and Sport, Victoria University, Footscray, Melbourne, Australia. Vasileios.Stavropoulos@vu.edu.au.ORCID 0000-0001-6964-4662
Rapson GomezFederation University, Ballarat, Australia.
Mark D GriffithsNottingham Trent University, Nottingham, UK.

Funding

Australian Research Council DE210101107
6 · The paper itself

Abstract

backgroundInternet gaming Disorder (IGD) constitutes a recently proposed clinical disorder (American Psychiatric Association, Diagnostic and statistical manual of mental disorders, 2013). The present study examined if IGD is best conceptualized as categorical (present/absent), or dimensional (severity ranging from low to high), or both (i.e., hybrid of categorical/dimensional).

methodsRatings of the nine DSM-5 IGD symptoms, as presented in the Internet Gaming Disorder Scale 9-Short Form (Pontes & Griffiths, Comput Hum Behav 45:137-143, 2015), from 738 gamers, aged 17 to 72 years, were collected. Confirmatory factor analysis (CFA), latent class analysis (LCA), and factor mixture modelling analysis (FMMA) procedures were applied to determine the optimum IGD model.

resultsAlthough the findings showed most support for a FFMA model with two classes and one factor, there was also good statistical and substantive support for the one-factor CFA model, and the LCA model with three classes.

conclusionIt was concluded that while the optimum structure of IGD is most likely to be a hybrid model (i.e., concurrently categorical and dimensional), a uni-dimensional model and/or a three-class categorical model are also plausible.

Indexed as

Behavior, AddictiveVideo GamesAdolescentAdultAgedDiagnostic and Statistical Manual of Mental DisordersHumansInternetInternet Addiction DisorderMiddle AgedReproducibility of ResultsYoung AdultConfirmatory factor analysisFactor mixture modellingFactor structureInternet gaming disorderLatent class analysis

Identifiers

PMID33794827
PMCPMC8015185

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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.