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Cited by 143Impact of Technology on AdolescentsGambling Behavior and TreatmentsDigital Games and Media

The DOI matches its Crossref record; 61 of the 63 references it cites were found in a registry or an index.

Prevalence of Internet Gaming Disorder and Its Association With Personality Traits and Gaming Characteristics Among Chinese Adolescent Gamers

Open access
Liao, Zhenjiang, Huang, Qiuping, Huang, Shucai, Tan, Linxiang, Shao, Tianli, Fang, Ting, Chen, Xinxin, Lin, Shuhong, Qi, Jing, Cai, Yi, Shen, Hongxian·2020·Frontiers in Psychiatry
DOI 10.3389/fpsyt.2020.598585PMC PMC7704426
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Abstract

Background: Internet gaming is extremely popular, but some players engage in overuse, with negative outcomes. Knowing the prevalence rate and specific risk factors can provide a better understanding of the etiology of Internet Gaming Disorder (IGD). This study aimed to estimate the prevalence of IGD among Chinese adolescents and associate IGD with their personality traits and Internet gaming characteristics. Methods: A cross-sectional study design was utilized in this study. Participants were recruited from 34 provincial administrative districts in China and consisted of 6,379 adolescent game players aged 15–25 (males/females = 3,701/2,678, mean age: 19.35 ± 1.61). A self-report structured questionnaire containing questions regarding demographic information and Internet gaming use characteristics, the Video Gaming Dependency Scale, and the Chinese Big Five Inventory-brief version, was used in the study. Results: The prevalence of IGD among Chinese adolescent game players was 17.0%. All participants were divided into the IGD group (males/females=751/333, mean age: 19.74±1.85) or the non-IGD group (males/females=2950/2345, mean age: 19.27±1.54). Specifically, twelve factors were good predictors displaying significant associations with IGD (p<0.001), including neuroticism (β= 0.17), conscientiousness (β= 0.14), Internet gaming time per day (Hour) (β= 0.21), Internet gaming charge per month (Yuan) (β= 0.20), motive: escaping (β= 0.15), motive: sensation seeking (β= 0.13), motive: passing time (β= 0.08), motive: coping (β= 0.06), having one or two long-term game partners (β= 0.06), gender (β= 0.12), education (β= 0.04), and relationship status (β= 0.04). Conclusion: Specific personality traits (neuroticism, conscientiousness) and Internet gaming characteristics (time and game expenses, motives) were associated with IGD in our sample of Chinese adolescents.

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  1. 2019, The 44th China Statistical Report on Internet Development, 23
  2. Bass, 2015, Gaming addiction when going online goes off-kilter, Contemp Pediatr, 32, 16

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Metadata

Authors
Liao, Z., Huang, Q., Huang, S., Tan, L., Shao, T., Fang, T., Chen, X., Lin, S., Qi, J., Cai, Y., & Shen, H.
Affiliations
  • Central South University (CN)
  • Wuhu Fourth People Hospital (CN)
  • Hunan Institute of Mental Health (CN)
  • Shenzhen KangNing Hospital (CN)
Corresponding author
Shen, Hongxian
ORCID
Venue
Frontiers in Psychiatry
Publisher
Frontiers Media SA
Published
2020-11-17
Volume
11
Pages
598585-598585
ISSN
1664-0640 (ISSN-L)
DOI
10.3389/fpsyt.2020.598585
PMC
PMC7704426
OpenAlex
W3102663602
Cited by
142
References
63
Citations by year
2026: 13 · 2025: 31 · 2024: 31 · 2023: 32 · 2022: 22 · 2021: 13
FWCI
22.74
Type
journal article
Language
en
Open access
Licence
Locations
  • Frontiers in Psychiatry (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
  • National Natural Science Foundation of China
  • National Basic Research Program of China
Topics
  • Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
  • Social Sciences › Psychology › Clinical Psychology › Gambling Behavior and Treatments
  • Social Sciences › Sociology and Political Science › Digital Games and Media
Keywords
internet gaming disorder, prevalence, personality traits, Big Five personality traits, neuroticism, conscientiousness, gaming motives, gaming time, risk factors, Chinese adolescents

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