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      Relationship Between Gaming Disorder, Self-Compensation Motivation, Game Flow, Time Spent Gaming, and Fear of Missing Out Among a Sample of Chinese University Students: A Network Analysis

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          Abstract

          Background and Aims: In previous correlational research, the relationship between gaming disorder (GD), compensation motivation, game flow, time spent gaming, and fear of missing out (FoMO) has been examined. However, network analysis has rarely been applied to explore the relationship between GD, self-compensation motivation, game flow, time spent gaming, and FoMO. Therefore, the present study used network analysis to examine the relationship between the aforementioned variables among a sample of gamers.

          Methods: The present study comprised gamers ( N = 1,635) recruited from three Chinese universities, who completed an online survey including the Gaming Disorder Test, Self-Compensation Motivation Questionnaire, Game Flow Questionnaire, and Trait-State Fear of Missing Out Scale, as well as four items related to time spent gaming.

          Results: Self-compensation motivation, game flow, time spent gaming, and FoMO were all significantly and positively associated with GD. In the domain-level and facet-level networks, weekday gaming hours and weekend gaming hours had the strongest edge intensity. The domain-level, facet-level, and item-level networks analysis also showed that GD was connected with self-compensation motivation, game flow, time spent gaming, and FoMO. The network structure demonstrated a significant difference between males and females (2.33 vs. 2.81, p = 0.001) using the domain-level network comparison test (NCT).

          Conclusions: The results suggest that GD is closely associated with self-compensation motivation, game flow, time spent gaming, and FoMO. FoMO and gaming motivation (i.e., self-compensation and game flow) may increase time spent gaming and facilitate GD. Therefore, interventions that decrease game immersion and time spent gaming are likely to decrease GD.

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          Most cited references91

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          Diagnostic and Statistical Manual of Mental Disorders

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            Intrinsic Motivation and Self-Determination in Human Behavior

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              Sparse inverse covariance estimation with the graphical lasso.

              We consider the problem of estimating sparse graphs by a lasso penalty applied to the inverse covariance matrix. Using a coordinate descent procedure for the lasso, we develop a simple algorithm--the graphical lasso--that is remarkably fast: It solves a 1000-node problem ( approximately 500,000 parameters) in at most a minute and is 30-4000 times faster than competing methods. It also provides a conceptual link between the exact problem and the approximation suggested by Meinshausen and Bühlmann (2006). We illustrate the method on some cell-signaling data from proteomics.
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                Author and article information

                Contributors
                Journal
                Front Psychiatry
                Front Psychiatry
                Front. Psychiatry
                Frontiers in Psychiatry
                Frontiers Media S.A.
                1664-0640
                01 November 2021
                2021
                : 12
                : 761519
                Affiliations
                [1] 1School of Humanities and Social Sciences, Gannan Medical University , Ganzhou, China
                [2] 2International Gaming Research Unit, Psychology Department, Nottingham Trent University , Nottingham, United Kingdom
                [3] 3School of Public Health, Jilin University , Changchun, China
                Author notes

                Edited by: Giovanni Martinotti, University of Studies G. d'Annunzio Chieti and Pescara, Italy

                Reviewed by: Francesco Di Carlo, University of Studies G. d'Annunzio Chieti and Pescara, Italy; Felix Henrique Paim Kessler, Federal University of Rio Grande do Sul, Brazil

                *Correspondence: Li Li janetlee2007@ 123456126.com

                This article was submitted to Addictive Disorders, a section of the journal Frontiers in Psychiatry

                Article
                10.3389/fpsyt.2021.761519
                8591052
                3b75d831-b387-417d-9774-2d1d8fdf2412
                Copyright © 2021 Li, Niu, Griffiths and Mei.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 20 August 2021
                : 05 October 2021
                Page count
                Figures: 1, Tables: 1, Equations: 0, References: 94, Pages: 10, Words: 8538
                Categories
                Psychiatry
                Original Research

                Clinical Psychology & Psychiatry
                gaming disorder,self-compensation motivation,game flow,time spent gaming,fear of missing out,network analysis

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