Gaming disorder and its association with depression, social anxiety, and risk perception during the COVID-19 pandemic: a study using a Gaussian graphical model and moderated network models

Li, L, Niu, Z, Gong, X, Pi, Z, Mei, S and Griffiths, MD ORCID logoORCID: https://orcid.org/0000-0001-8880-6524, 2025. Gaming disorder and its association with depression, social anxiety, and risk perception during the COVID-19 pandemic: a study using a Gaussian graphical model and moderated network models. Entertainment Computing, 55: 101024. ISSN 1875-9521

[thumbnail of 2506159_Griffiths.pdf] Text
2506159_Griffiths.pdf - Post-print
Full-text access embargoed until 26 September 2027.

Download (1MB)

Abstract

During the COVID-19 pandemic, many scholars in the field of behavioral addiction examined the risk of gaming disorder (GD). The association between GD, depression, social anxiety, and risk perception toward COVID-19 among Chinese university students has remained largely uninvestigated, especially using network analysis. Therefore, the present study (N = 1794) examined the relationship between these variables during the pandemic using Gaussian graphical model (GGM) and Moderated Network Model (MNM) approaches. In the GGM and MNM, GD had a significant interaction with depression. Individual risk perception and public risk perception had stronger connections in the network, as did depression and social anxiety. In addition, ‘fatigue’ was identified as the core symptom of depression. Neither moderation effects (i.e., three-way interaction between GD, depression, social anxiety, and risk perception) nor gender differences in network comparisons were found. These results suggest that relieving negative emotional states may have helped prevent GD during the COVID-19 pandemic, while the influence of risk perception on GD and negative emotions needs to be further examined.

Item Type: Journal article
Publication Title: Entertainment Computing
Creators: Li, L., Niu, Z., Gong, X., Pi, Z., Mei, S. and Griffiths, M.D.
Publisher: Elsevier BV
Date: September 2025
Volume: 55
ISSN: 1875-9521
Identifiers:
Number
Type
10.1016/j.entcom.2025.101024
DOI
2506159
Other
Divisions: Schools > School of Social Sciences
Record created by: Jeremy Silvester
Date Added: 22 Oct 2025 08:10
Last Modified: 22 Oct 2025 08:10
URI: https://irep.ntu.ac.uk/id/eprint/54602

Actions (login required)

Edit View Edit View

Statistics

Views

Views per month over past year

Downloads

Downloads per month over past year