Evidence map›Paper›PMID 42149674›Full record

ArticleJournal of behavioral addictions2026

The role of videogame genre and platform in gaming disorder tendencies: A large-scale world-wide study of gamers' preferences.

Davide Marengo, Bruno Schivinski, Halley M Pontes, Christian Montag

Abstract read
In one paragraph

Article in Journal of behavioral addictions, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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3 · Its place in the literature

Who cites it

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

4 authors.

Davide Marengo1Department of Psychology, University of Turin, Turin, Italy.ORCID https://orcid.org/0000-0002-7107-0810
Bruno Schivinski2School of Media and Communication, Royal Melbourne Institute of Technology, Melbourne, Australia.ORCID https://orcid.org/0000-0002-4095-1922
Halley M Pontes4School of Psychological Sciences, Birkbeck, University of London, United Kingdom.ORCID https://orcid.org/0000-0001-8020-7623
Christian Montag5Centre for Cognitive and Brain Sciences, Institute of Collaborative Innovation, University of Macau, Macau SAR, China.ORCID https://orcid.org/0000-0001-8112-0837

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and aims: Literature suggests that individual differences in tendencies toward gaming disorder (GD) may be associated with characteristics of the video games people prefer. We examined how game genre, multiplayer capability, and platform relate to GD tendencies assessed using both APA (DSM-5) and WHO (ICD-11) frameworks in a large international sample of gamers. Methods: We analyzed cross-sectional online data from 116,047 gamers. Participants completed validated measures of GD symptoms aligned with DSM-5 and ICD-11 and reported the genre, multiplayer capability, and platform of their currently preferred game. Associations were examined using bivariate and multivariate analyses. We additionally applied a Random Forest model to evaluate the predictive contribution of game-related variables to GD scores. Results: GD levels were highest among participants preferring games with multiplayer capabilities, while positive associations with shooter and casual games were particularly evident among console users. In contrast, puzzle, platformer, and board games showed negative associations with GD scores. Players preferring desktop or laptop computers reported higher GD scores than those favoring consoles or small devices. In Random Forest models, game genre and multiplayer capability were modestly predictive of GD scores (R ≈ .08-.15) with predictive accuracy being higher for participants who used console and desktop computers and lowest among small-device users. Conclusions: Multiplayer capability and preferred genre were consistently related to GD tendencies across DSM-5 and ICD-11 measures. However, these variables alone offered limited predictive power, indicating that GD risk is only partly explained by game characteristics and likely depends on broader individual and contextual factors.

Indexed as

Behavior, AddictiveInternet Addiction DisorderVideo GamesAdolescentAdultCross-Sectional StudiesFemaleHumansMaleYoung Adultgaming devicegaming disordergaming genresinternet gaming disordermultiplayer game

Identifiers

PMID42149674
PMCPMC13371733

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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.