Evidence map›Paper›PMID 40290631›Full record

ArticleAddictive behaviors reports2025

Flowing in the net of disordered gaming: A network analysis approach.

Tyrone L Burleigh, Trent Footitt, Michelle Colder Carras, Connor Conkey-Morrison, Dylan R Poulus, Vasileios Stavropoulos

Abstract read
In one paragraph

Article in Addictive behaviors reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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.

Tyrone L BurleighSchool of Health and Biomedical Sciences, RMIT University, Melbourne, Australia.
Trent FootittSchool of Health and Biomedical Sciences, RMIT University, Melbourne, Australia.
Michelle Colder CarrasJohns Hopkins Bloomberg School of Public Health, Baltimore, United States.
Connor Conkey-MorrisonSchool of Health and Biomedical Sciences, RMIT University, Melbourne, Australia.
Dylan R PoulusFaculty of Health, Southern Cross University, East Lismore, Australia.
Vasileios StavropoulosSchool of Health and Biomedical Sciences, RMIT University, Melbourne, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The experience of online flow, characterized by immersion and time distortion, may enhance gaming enjoyment but also contribute to disordered gaming patterns. The present paper examined online flow components and their associations with disordered gaming symptoms among 565 role-playing-gamers. Network analysis identified the centrality of time distortion and loss of control within flow states and highlighted their connections to disordered gaming indicators, such as impaired control and gaming prioritization. Enjoyment and positive challenge were core features within flow, suggesting they support adaptive engagement. However, pathways linking prolonged immersion with gaming disorder symptoms indicate that intense flow experiences may increase problematic gaming risks. These findings reveal a nuanced interaction between online flow and disordered gaming, where adaptive enjoyment and challenge can coexist with maladaptive control loss. Overall, the findings highlight how elements of flow can differentially affect gaming outcomes, contributing both to healthy engagement and potential disorder.

Indexed as

Disordered gamingImmersive gamingNetwork analysisOnline flowTime distortion

Identifiers

PMID40290631
PMCPMC12032186

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.