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. 2023 May 17:14:1144413.
doi: 10.3389/fpsyt.2023.1144413. eCollection 2023.

The relationship between anxiety and internet gaming disorder in children during COVID-19 lockdown: a network analysis

Tianqi Yang #  1 , Yang He #  1 , Chunyan He  2 , Yueqi Yang  3 , Lin Wu  1 , Bin Wei  4 , Ruina Dong  5 , Mengyuan Yang  1 , Zhaojun Pu  1 , Saiming Wang  6 , Jing Li  7 , Tao Xu  8 , Xufeng Liu  1 , Shengjun Wu  1
Affiliations

The relationship between anxiety and internet gaming disorder in children during COVID-19 lockdown: a network analysis

Tianqi Yang et al. Front Psychiatry. .

Abstract

Background: Internet gaming disorder (IGD) has become a social problem in children. Evidence from previous studies has proven that anxiety is associated with IGD. However, IGD was always assessed as a whole based on total scores, and the fine-grained relationship between anxiety and IGD was hidden.

Objective: The present study aims to investigate the fine-grained relationship between anxiety and IGD in elementary school students during the COVID-19 lockdown, and to identify potential targets for psychological interventions.

Methods: During the lockdown caused by the COVID-19 pandemic, 667 children from a primary school in China were investigated by the Spence Children's Anxiety Scale-Short Version and Internet Gaming Disorder Scale. R4.1.1 software was used to construct a network model, assess bridge centrality, and test the robustness of the network and conduct a network.

Results: There were 23 cross-community edges (weight ranged from -0.03 to 0.12), and each node of anxiety was connected to different nodes of IGD. The nodes with the top 80th percentile bridge expected influence were A2 "social phobia" (0.20), A3 "panic disorder" (0.21) and IGD5 "escape" (0.22). The robustness of the network was acceptable.

Conclusion: From the perspective of network analysis, the present study explored the correlation pathways between anxiety and IGD in children and identified social phobia and panic disorder as the best targets for intervention to reduce IGD.

Keywords: COVID-19; anxiety; children; internet gaming disorder; network analysis.

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Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Figures

FIGURE 1
FIGURE 1
The anxiety-IGD network model and bridge expected influence (BEI). (A) The anxiety-IGD network model. The red edges suggested a negative correlation, while the blue edges suggested a positive correlation, and a more saturated edge suggested a larger partial correlation. (B) The bridge expected influence indices of the nodes in the network (raw score).
See this image and copyright information in PMC

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