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A network perspective on the relationship between gaming disorder, depression, alexithymia, boredom, and loneliness among a sample of Chinese university students

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  • Li, Li
  • Niu, Zhimin
  • Griffiths, Mark D.
  • Wang, Wen
  • Chang, Chunying
  • Mei, Songli

Abstract

Based on previous research, it was hypothesized that negative affect (e.g., depression, anxiety, and loneliness) and low level of emotion regulation (i.e., alexithymia) are risk factors for internet gaming disorder (IGD). Research utilizing a network analysis approach to psychopathology has increased rapidly, and is used to examine the pattern of interactions between causal factors of mental health disorders. Previous research has investigated the relationship between gaming disorder (GD), depression, alexithymia, boredom, and loneliness by pair-wise correlation and correlation of three or four variables. However, to date, network analysis has rarely been utilized to examine the relationship between the aforementioned multi-variables. Therefore, the present study used network analysis to examine the relationship between GD, depression, alexithymia, boredom, and loneliness among a sample of Chinese university students.

Suggested Citation

  • Li, Li & Niu, Zhimin & Griffiths, Mark D. & Wang, Wen & Chang, Chunying & Mei, Songli, 2021. "A network perspective on the relationship between gaming disorder, depression, alexithymia, boredom, and loneliness among a sample of Chinese university students," Technology in Society, Elsevier, vol. 67(C).
  • Handle: RePEc:eee:teinso:v:67:y:2021:i:c:s0160791x21002153
    DOI: 10.1016/j.techsoc.2021.101740
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    References listed on IDEAS

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    1. Epskamp, Sacha & Cramer, Angélique O.J. & Waldorp, Lourens J. & Schmittmann, Verena D. & Borsboom, Denny, 2012. "qgraph: Network Visualizations of Relationships in Psychometric Data," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 48(i04).
    2. Jiahua Chen & Zehua Chen, 2008. "Extended Bayesian information criteria for model selection with large model spaces," Biometrika, Biometrika Trust, vol. 95(3), pages 759-771.
    3. Daniel King & Ernst Koster & Joël Billieux, 2019. "Study what makes games addictive," Nature, Nature, vol. 573(7774), pages 346-346, September.
    4. Wang, Zhengpei & Yang, Xue & Zhang, Xiaolu, 2020. "Relationships among boredom proneness, sensation seeking and smartphone addiction among Chinese college students: Mediating roles of pastime, flow experience and self-regulation," Technology in Society, Elsevier, vol. 62(C).
    5. Abbasi, Ghazanfar A & Jagaveeran, Mahavithya & Goh, Yen-Nee & Tariq, Beenish, 2021. "The impact of type of content use on smartphone addiction and academic performance: Physical activity as moderator," Technology in Society, Elsevier, vol. 64(C).
    6. Jaradat, Maram & Jibreel, Manal & Skaik, Huda, 2020. "Individuals' perceptions of technology and its relationship with ambition, unemployment, loneliness and insomnia in the Gulf," Technology in Society, Elsevier, vol. 60(C).
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    Cited by:

    1. Andrea Scalone & Gianluca Santoro & Josephin Cavallo & Alessandra Melita & Alessio Gori & Adriano Schimmenti, 2023. "Press Play to Feel: The Role of Attachment Styles and Alexithymic Features in Problematic Gaming," IJERPH, MDPI, vol. 20(20), pages 1-13, October.
    2. Yuying Liu & Lei Chen & Zhiyan Wang & Ge Guo & Mingming Zhang & Shunsen Chen, 2022. "Role of Alexithymia in Predicting Internet Novel Addiction through Boredom Proneness," IJERPH, MDPI, vol. 19(14), pages 1-10, July.

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