Evidence map›Paper›PMID 34384394›Full record

ArticleBMC public health2021

Internet Gaming Disorder in adolescence: investigating profiles and associated risk factors.

Mirna Macur, Halley M Pontes

Abstract read
In one paragraph

Article in BMC public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed, 2 pooled it
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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

43 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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

2 authors.

Mirna MacurAngela Boškin Faculty of Health Care, Spodnji Plavž 3, SI-4270, Jesenice, Slovenia. mmacur@fzab.si.
Halley M PontesDepartment of Organizational Psychology, Birkbeck, University of London, Malet Street, Bloomsbury, London, WC1E 7HX, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundElectronic gaming is a popular free-time activity and its deleterious effects have been considered by the American Psychiatric Association and World Health Organization. More recently 'Gaming Disorder' (GD) has been added to the 11

methodsTo achieve this, a quantitative and nationally representative study was conducted in primary schools in Slovenia with eighth grade as the primary sampling unit (N = 1071, Mean

resultsAbout 4.7% (n = 48) [95% CI: 3.4-6.0%] of Slovenian adolescents were found to be 'high risk gamers' when considering risk of IGD. These were mostly males (n = 42, 87.5%), and their preferred leisure activities involved more screen time activities (e.g., watching TV, playing video games, using social media). Moreover, 'high risk gamers' showed significantly lower levels of self-control compared to 'low risk gamers', and poorer understanding with their parents. Perceived satisfaction with life and mental health did not differ significantly between the three groups. The multinomial logistic regression identified four key predictors of IGD: male gender, gaming as a frequent free-time activity, attending music school or a choir and self-control.

conclusionPublic health measures should target adolescents at increased risk of developing IGD in early age because they are particularly drawn to excessive gaming behaviors and present greater IGD vulnerability.

Indexed as

Behavior, AddictiveVideo GamesAdolescentFemaleHumansInfantInternetInternet Addiction DisorderMalePsychometricsRisk FactorsAdolescentsAmerican Psychiatric AssociationBehavioral addictionIGDS9-SFInternet Gaming DisorderSelf-control

Identifiers

PMID34384394
PMCPMC8361866

What OpenQuestion holds

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LicenceCC BY
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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.