Log in

Validation of the Internet Gaming Disorder Symptoms Checklist Based on the Fifth Edition of the Diagnostic and Statistical Manual of Mental Disorders in Chinese Adolescents

  • Original Article
  • Published:
Child Psychiatry & Human Development Aims and scope Submit manuscript

Abstract

This study aims to develop and validate a checklist for IGD symptoms of Chinese adolescents based on the fifth edition of the diagnostic and statistical manual of mental disorders (DISCA). We recruited 2144 secondary school students who reported that they had played Internet games in the past 12 months in two large cities of China. The 9 item of DISCA were all significantly and positively correlated and the scale reliability was satisfactory. The unidimensional structure of the scale was confirmed by Confirmatory Factor Analysis (CFA), χ2/df = 246.18/27, CFI = .95, RMSEA = .06. Measurement invariance across gender and city groups was confirmed by Multiple-group CFA. Criterion validity was demonstrated by the significant positive associations between DISCA score and self-identified IGD, loss of control regarding time spent on Internet gaming, time spent on playing Internet games, depression, and suicidal ideation. DISCA is a brief, reliable, and validated assessment to measure adolescent IGD.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Subscribe and save

Springer+ Basic
EUR 32.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or Ebook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price includes VAT (Germany)

Instant access to the full article PDF.

Fig. 1

Similar content being viewed by others

References

  1. American Psychiatric Association (2013) Diagnostic and statistical manual of mental disorders (DSM-5®). American Psychiatric Pub, Washington, D.C.

    Book  Google Scholar 

  2. Newzoo (2019). Newzoo adjusts global games forecast to $148.8 billion; Slower Growth in Console Spending Starts Sooner than Expected. Retrieved from https://newzoo.com/insights/articles/newzoo-adjusts-global-games-forecast-to-148-8-billion-slower-growth-in-console-spending-startssooner-than-expected/

  3. Game Committee of the Publishers Association of China (2019) China gaming industry report 2019. Game Committee of the Publishers Association of China, Bei**g

    Google Scholar 

  4. Paulus FW, Ohmann S, Von Gontard A, Popow C (2018) Internet gaming disorder in children and adolescents: a systematic review. Dev Med Child Neurol 60(7):645–659

    Article  Google Scholar 

  5. Wang CW, Chan CL, Mak KK, Ho SY, Wong PW, Ho RT (2014) Prevalence and correlates of video and Internet gaming addiction among Hong Kong adolescents: a pilot study. Sci World J. https://doi.org/10.1155/2014/874648

    Article  Google Scholar 

  6. Chiu Y-C, Pan Y-C, Lin Y-H (2018) Chinese adaptation of the ten-item internet gaming disorder test and prevalence estimate of Internet gaming disorder among adolescents in Taiwan. J Behav Addict 7(3):719–726

    Article  Google Scholar 

  7. Xu Z, Yuan Y (2008). The impact of motivation and prevention factors on game addiction. In: SIGHCI 2008 proceedings, p. 15

  8. Yu Z, Sun P, Zhang S, Zhu J, Guo X, Zhao M (2010) An investigation of the online game addiction of middle school students in Guangzhou. J Clin Psychosom Dis 16(2):137–141

    Google Scholar 

  9. Yu SM, Pesigan IJA, Zhang MX, Wu AM (2019) Psychometric validation of the internet gaming disorder-20 test among Chinese middle school and university students. J Behav Addict 8(2):295–305

    Article  Google Scholar 

  10. Pontes HM, Griffiths MD (2015) Measuring DSM-5 internet gaming disorder: development and validation of a short psychometric scale. Comput Hum Behav 45:137–143

    Article  Google Scholar 

  11. Pontes HM, Stavropoulos V, Griffiths MD (2017) Measurement Invariance of the Internet Gaming Disorder Scale–short-form (IGDS9-SF) between the United States of America, India and the United Kingdom. Psychiatry Res 257:472–478

    Article  Google Scholar 

  12. Pontes HM, Griffiths MD (2016) Portuguese validation of the internet gaming disorder scale–short-form. Cyberpsychol Behav Soc Netw 19(4):288–293

    Article  Google Scholar 

  13. Arıcak OT, Dinc M, Yay M, Griffiths MD (2018) Adapting the short form of the internet gaming disorder scale into Turkish: validity and reliability. Addicta: Turk J Addict. https://doi.org/10.15805/addicta.2019.6.1.0027

    Article  Google Scholar 

  14. Sigerson L, Li AY-L, Cheung MW-L, Luk JW, Cheng C (2017) Psychometric properties of the Chinese internet gaming disorder scale. Addict Behav 74:20–26

    Article  Google Scholar 

  15. Leung H, Pakpour AH, Strong C, Lin Y-C, Tsai M-C, Griffiths MD et al (2020) Measurement invariance across young adults from Hong Kong and Taiwan among three internet-related addiction scales: Bergen Social Media Addiction Scale (BSMAS), Smartphone Application-Based Addiction Scale (SABAS), and Internet Gaming Disorder Scale-Short Form (IGDS-SF9) (study part A). Addict Behav 101:105969

    Article  Google Scholar 

  16. Yam C-W, Pakpour AH, Griffiths MD, Yau W-Y, Lo C-LM, Ng JM et al (2019) Psychometric testing of three Chinese online-related addictive behavior instruments among Hong Kong university students. Psychiatr Q 90(1):117–128

    Article  Google Scholar 

  17. Ko C-H, Yen J-Y, Chen S-H, Wang P-W, Chen C-S, Yen C-F (2014) Evaluation of the diagnostic criteria of internet gaming disorder in the DSM-5 among young adults in Taiwan. J Psychiatr Res 53:103–110

    Article  Google Scholar 

  18. Weinstein AM (2017) An update overview on brain imaging studies of internet gaming disorder. Front Psychiatry 8:185

    Article  Google Scholar 

  19. van de Vijver F, Hambleton RK (1996) Translating tests: some practical guidelines. Eur Psychol 1:89–99

    Article  Google Scholar 

  20. Yang X, Stewart SM (2020) The beck depression inventory-II as a screening tool of depression in the Chinese adolescent population in Hong Kong: a validation study using the composite international diagnostic interview as the gold standard. Asian J Psychiatr 52:102–125

    Article  Google Scholar 

  21. Kroenke K, Spitzer RL (2002) The PHQ-9: a new depression diagnostic and severity measure. Psychiatr Ann 32(9):509–515

    Article  Google Scholar 

  22. Tsai F-J, Huang Y-H, Liu H-C, Huang K-Y, Huang Y-H, Liu S-I (2014) Patient health questionnaire for school-based depression screening among Chinese adolescents. Pediatrics 133(2):e402–e409

    Article  Google Scholar 

  23. Beck AT, Kovacs M, Weissman A (1979) Assessment of suicidal intention: the scale for suicide ideation. J Consult Clin Psychol 47(2):343–352

    Article  Google Scholar 

  24. Chen FF (2007) Sensitivity of goodness of fit indexes to lack of measurement invariance. Struct Equ Model 14(3):464–504

    Article  Google Scholar 

  25. Jöreskog KG (1993) Testing structural equation models. Sage Focus Ed 154:294–294

    Google Scholar 

  26. Wu AD, Zhen L, Zumbo BD (2007) Decoding the meaning of factorial invariance and updating the practice of multi-group confirmatory factor analysis: a demonstration with TIMSS data. Pract Assess Res Eval 12(1):3

    Google Scholar 

  27. Hirschfeld G, von Brachel R (2014) Multiple-group confirmatory factor analysis in R—a tutorial in measurement invariance with continuous and ordinal indicators. PARE 19(7):1–12

    Google Scholar 

  28. Dang DL, Zhang MX, Leong KK, Wu A (2019) The predictive value of emotional intelligence for internet gaming disorder: a 1-year longitudinal study. Int J Environ Res Public Health 16(15):2762

    Article  Google Scholar 

  29. Yang X, Lau JT, Lau MC (2018) Predictors of remission from probable depression among Hong Kong adolescents–a large-scale longitudinal study. J Affect Disord 229:491–497

    Article  Google Scholar 

  30. Chen C (2019) Inside China’s battle to keep internet addiction in check. South China Morning Post. Retrieved from https://www.scmp.com/tech/policy/article/3016183/inside-chinas-battlekeep-internet-addiction-under-check

  31. Fam JY (2018) Prevalence of internet gaming disorder in adolescents: a meta-analysis across three decades. Scand J Psychol 59(5):524–531

    Article  Google Scholar 

  32. Koronczai B, Urbán R, Kökönyei G, Paksi B, Papp K, Kun B et al (2011) Confirmation of the three-factor model of problematic internet use on off-line adolescent and adult samples. Cyberpsychol Behav Soc Netw 14(11):657–664

    Article  Google Scholar 

  33. Lemmens JS, Valkenburg PM, Gentile DA (2015) The internet gaming disorder scale. Psychol Assess 27(2):567

    Article  Google Scholar 

  34. Rehbein F, Kliem S, Baier D, Mößle T, Petry NM (2015) Prevalence of internet gaming disorder in German adolescents: diagnostic contribution of the nine DSM-5 criteria in a state-wide representative sample. Addiction 110(5):842–851

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Joseph T. F. Lau.

Ethics declarations

Conflict of interest

The authors have no conflict of interest to declare.

Ethical Approval

Ethics approval was obtained from the Survey and Behavioral Ethics Committee, the Chinese University of Hong Kong.

Informed Consent

Informed consent was obtained from all individual participants included in the study. Consent was provided by the school principals before the survey. Students were assured that the return of the completed questionnaire implied informed consent, and participation was voluntary and refusal or quitting the survey had no negative consequences. No incentive was provided to the participants.

Research Involving Human Participants

This research involved human participants. All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Yang, X., Jiang, X., Wu, A.M.S. et al. Validation of the Internet Gaming Disorder Symptoms Checklist Based on the Fifth Edition of the Diagnostic and Statistical Manual of Mental Disorders in Chinese Adolescents. Child Psychiatry Hum Dev 54, 26–33 (2023). https://doi.org/10.1007/s10578-021-01213-7

Download citation

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10578-021-01213-7

Keywords

Navigation