Conceptualization, diagnosis, and differential diagnosis of gaming disorder
Authors:
Jaroslava Suchá 1; Barbora Hoňková 1; Kateřina Kloučková 2
Authors‘ workplace:
Katedra psychologie, FF UP, Olomouc
1; Klinika adiktologie 1. LF UK a VFN v Praze
2
Published in:
Čes. a slov. Psychiat., 122, 2026, No. 3, pp. 95-104.
Category:
Review
doi:
https://doi.org/10.48095/cccsp202603
Overview
Popularity of digital gaming is increasing and the phenomenon of problem gaming is growing. In response to the increased prevalence of problem gaming, the World Health Organization has classified digital gaming disorder (GD) under the code 6C51 in the 11th revision of the International Classification of Diseases (ICD-11) in 2019. It is becoming increasingly important to accurately diagnose these criteria while distinguishing them from hazardous gaming (code QE22). Therefore, in addition to defining the diagnostic criteria, the text also focuses on a more detailed description of the clinical manifestations of digital gaming disorder, which are not currently listed in the Czech web version of the ICD-11, but are important for an accurate and reliable diagnosis. The article also includes a comparison with the conceptualization of internet gaming disorder (IGD) according to the fifth revision of the Diagnostic and Statistical Manual of Mental Disorders (DSM-5). The proposed diagnosis of IGD in the DSM-5 requires that five (or more) out of the nine possible criteria be present over a one-year period. A diagnosis of GD under ICD-11requires the experience of all three of the defined diagnostic criteria, usually for a period of 12 months, but with the possibility of reducing this period. Both diagnostic criteria agree that a diag-nosis is warranted only if the pattern of gaming behavior is associated with functional impairment in important life domains. Some experts pointed out that diagnostic criteria based on the DSM-5 may pathologize common gaming behavior. They noted that some symptoms (e. g., gaming as an escape, tolerance, deception) are not specific enough and may lead to false positive diagnoses. The MKN-11 approach is considered more conservative as it requires clear functional impairment caused by gaming for diagnosis, thus refining previous approaches to identifying addictive gaming. Epidemiological surveys suggest that digital gaming disorder affects a small but not insignificant proportion of gamers. Comparison of diagnostic frameworks shows that the DSM-5 criteria lead to higher prevalence estimates than the stricter ICD-11 criteria; thus, the same individual may be classified as ill under the broader DSM-5 criteria, but not under the narrower ICD-11 criteria. These differences have implications for clinical practice – the broader definitions of the disorder may lead to overdiagnosis of borderline cases, while the narrower concept may leave some affected individuals without a diagnosis. To accurately diagnose this disorder, valid diagnostic criteria must be consistently applied and all conditions, including functional impairment and sufficient duration of symptoms, must be verified. At the same time, it is necessary to distinguish disordered gaming from mere high levels of engagement in order to avoid excessive pathologization of normal behavior. A careful clinical approach that takes into account the individual context and comorbidities is important to minimize the risk of misdiagnosis and to ensure that intervention is focused on the truly affected individuals. In summary, beyond clarifying specific diagnostic criteria, this text aims to provide a comprehensive overview of differential diagnosis considerations and a critical evaluation of both the ICD-11 and DSM-5 diagnostic approaches to gaming-related disorders. Accuracy of diagnostic boundaries is essential for both research and clinical practice, as it helps to prevent the over-pathologization of normal gaming behavior while ensuring that those individuals who truly need help are accurately identified.
Keywords:
differential diagnosis – Diagnostic and statistical manual of mental disorders 5 (DSM-5) – gaming – International classification of diseases (ICD-11) – gaming disorder – internet gaming disorder – hazardous gaming
Sources
1. Goh E, Al-Tabbaa O, Khan Z. Unravelling the complexity of the video game industry: an integrative framework and future research directions. Telemat Inform Rep 2023; 12 : 100100. doi: 10.1016/j.teler.2023.100100.
2. Granic I, Lobel A, Engels RCME. The benefits of playing video games. Am Psychol 2014; 69 (1): 66–78. doi: 10.1037/a0034857.
3. Zayeni D, Raynaud J-P, Revet A. Therapeutic and preventive use of video games in child and adolescent psychiatry: a systematic review. Front Psychiatry 2020; 11 : 36.
doi: 10.3389/fpsyt.2020.0003.
4. Yılmaz E, Yel S, Griffiths MD. The Impact of heavy (excessive) video gaming students on peers and teachers in the school environment: a qualitative study. Addicta Turkish J Addict 2018; 5 (2): 147–161. doi: 10.15805/addicta.2018.5.2.0035.
5. Türkay S, Lin A, Johnson D et al. Self-determination theory approach to understanding the impact of videogames on wellbeing during COVID-19 restrictions. Behav Inf Technol 2023; 42 (11): 1720–1739. doi: 10.1080/0144929X.2022.2094832.
6. Pallavicini F, Pepe A, Mantovani F. The Effects of playing video games on stress, anxiety, depression, loneliness, and gaming disorder during the early stages of the COVID-19 pandemic: PRISMA systematic review. Cyberpsychology, Behav Soc Netw 2022; 25 (6): 334–354. doi: 10.1089/cyber.2021.0252.
7. Pontes HM, Schivinski B, Kannen C et al. The interplay between time spent gaming and disordered gaming: a large-scale world-wide study. Soc Sci Med 2022; 296 : 114721. doi: 10.1016/j.socscimed.2022.114721.
8. Meng S-Q, Cheng J-L, Li Y-Y et al. Global prevalence of digital addiction in general population: A systematic review and meta-analysis. Clin Psychol Rev 2022; 92 : 102128. doi: 10.1016/j.cpr.2022.102128.
9. Griffiths MD, Kuss DJ, Lopez-Fernandez O et al. Problematic gaming exists and is an example of disordered gaming. J Behav Addict 2017; 6 (3): 296–301. doi: 10.1556/2006.6.2017.037.
10. American Psychiatric Association. Diagnostic and statistical manual of mental disorders. 5th ed. Arlington (VA): American Psychiatric Publishing; 2013. Section: Internet gaming disorder.
11. World Health Organization. ICD-11 for Mortality and Morbidity Statistics. 6C51 Gaming disorder. [online]. Available from: https: //icd.who.int/browse/2024-01/mms/en#1448597234.
12. King DL, Chamberlain SR, Carragher N et al. Screening and assessment tools for gaming disorder: a comprehensive systematic review. Clin Psychol Rev 2020; 77 : 101831. doi: 10.1016/j.cpr.2020.101831.
13. Aarseth E, Bean AM, Boonen H et al. Scholars’ open debate paper on the World Health Organization ICD-11 Gaming Disorder proposal 2017; 6 (3): 267–270. doi: 10.1556/2006.5.2016.088.
14. Van Rooij AJ, Ferguson CJ, Carras MC et al. A weak scientific basis for gaming disorder: let us err on the side of caution. J Behav Addict 2018; 7 (1): 1–9. doi: 10.1556/2006.7.2018.19.
15. Suchá J, Aigelová E, Pipová H et al. Užívání internetu, sociálních sítí a digitálních her u adolescentů: Teoretická východiska, diagnostika a strategie intervence. 1. vydání. Praha: Univerzita Palackého v Olomouci 2024.
16. World Health Organization. ICD-11 for Mortality and Morbidity Statistics. QE22 Hazardous gaming. [online]. Available from z: https: //icd.who.int/browse/2024-01/mms/en#1586542716.
17. Stevens MWR, Dorstyn D, Delfabbro PH et al. Global prevalence of gaming disorder: a systematic review and meta-analysis. Aust N Z J Psychiatry 2021; 55 (6): 553–568. doi: 10.1177/0004867420962851.
18. Gao YX, Wang JY, Dong GH. The prevalence and possible risk factors of internet gaming disorder among adolescents and young adults: systematic reviews and meta-analyses. J Psychiatr Res 2022; 154 : 35–43. doi: 10.1016/j.jpsychires.2022.06.049.
19. Rafiemanesh H, Farnam R, Sangchooli A et al. Online gaming and internet gaming disorder in Iran: patterns, motivations, and correlates. Curr Psychol 2023; 42 (16): 13517–13531. doi: 10.1007/s12144-021-02490-0.
20. Pontes HM, Schivinski B, Sindermann C et al. Measurement and conceptualization of gaming disorder according to the World health organization framework: the development of the Gaming Disorder Test. Int J Ment Health Addict 2021; 19 (2): 508–528. doi: 10.1007/s11469-019-00088-z.
21. King DL, Billieux J, Delfabbro PH. Red box, green box: a self-report behavioral frequency measurement approach for behavioral addictions research. J Behav Addict 2024; 13 (1): 21–24. doi: 10.1556/2006.2023.00079.
22. Stevens MWR, Radünz M, Galanis C et al. Red box, green box: psychometric evaluation of a self-report behavioral frequency measurement approach for behavioral addictions research. Addiction 2025; (August 2025): 429–439. doi: 10.1111/add.70192.
23. Floros G, Mylona I. Bipolar disorder and gaming disorder – compatible or incompatible diagnoses? J Clin Med 2023; 12 (19): 6251. doi: 10.3390/jcm12196251.
24. Shao T, Chen X, Huang S et al. The recognition of gaming disorder in China: a case series of 223 patients. PeerJ 2021; 9 : 1–11. doi: 10.7717/peerj. 10827.
25. Skařupova K, Blinka L, Tápal A. Gaming under the influence: an exploratory study. J Behav Addict 2018; 7 (2): 493–498. doi: 10.1556/2006.7.2018.27.
26. Sarkar S. Gaming disorder’ classified as a mental health condition, but is the move premature? Polygon. [online]. Available from: https: //web.archive.org/web/20180907012957/https: //www.polygon.com/2018/6/19/17475632/video-game-addiction-gaming-disorder-who-icd-11.
27. King DL, Potenza MN. Not playing around: gaming disorder in the International Classification of Diseases (ICD-11). J Adolesc Health 2019; 64 (1): 5–7. doi: 10.1016/j.jadohealth.2018.10.010.
28. Saunders JB, Hao W, Long J et al. Gaming disorder: its delineation as an important condition for diagnosis, management, and prevention. J Behav Addict 2017; 6 (3): 271–279. doi: 10.1556/2006.6.2017.039.
29. Rumpf HJ, Achab S, Billieux J et al. Including gaming disorder in the ICD-11: the need to do so from a clinical and public health perspective: commentary on: a weak scientific basis for gaming disorder: Let us err on the side of caution (van Rooij et al., 2018). J Behav Addict 2018; 7 (3): 556–561. doi: 10.1556/2006.7.2018.59.
30. Brand M, Rumpf HJ, King DL et al. Clarifying terminologies in research on gaming disorder and other addictive behaviors: distinctions between core symptoms and underlying psychological processes. Curr Opin Psychol 2020; 36 : 49–54. doi: 10.1016/j.copsyc.2020.04.006.
31. Király O, Potenza MN, Stein DJ et al. Preventing problematic internet use during the COVID-19 pandemic: Consensus guidance. Compr Psychiatry 2020; 100 : 152180. doi: 10.1016/j.comppsych.2020.152180.
32. Király O, Demetrovics Z. Inclusion of gaming disorder in ICD has more advantages than disadvantages. J Behav Addict 2017; 6 (3): 280–284. doi: 10.1556/2006.6.2017.04.
33. Pontes HM, Griffiths MD. Measuring DSM-5 internet gaming disorder: Development and validation of a short psychometric scale. Comput Human Behav 2015; 45 : 137–143. doi: 10.1016/j.chb.2014.12.006.
34. Suchá J, Dolejš M, Dostál D et al. Internet gaming disorder and risky behaviours among Czech adolescents: A nationally representative study. J Behav Addict 2024; 13 (3): 742–750. doi: 10.1556/2006.2024.00045.
35. Wölfling K, Müller KW, Beutel M. Reliabilität und Validität der Skala zum Computerspielverhalten (CSV-S). PPmP Psychother Psychosom Medizinische Psychol 2011; 61 (5): 216–224. doi: 10.1055/s-0030-1263145.
36. Kňažek G, Suchá J, Dolejš M et al. Prevalence of computer-gaming in the general population of adolescents: results from a Czech population-based survey. Behav Inf Technol 2021; 40 (11): 1169–1176. doi: 10.1080/0144929X.2021.1891461.
37. Jo YS, Bhang SY, Choi JS et al. Clinical characteristics of diagnosis for internet gaming disorder: Comparison of DSM-5 IGD and ICD-11 GD diagnosis. J Clin Med 2019; 8 (7): 945. doi: 10.3390/jcm8070945.
38. Castro-Calvo J, King DL, Stein DJ et al. Expert appraisal of criteria for assessing gaming disorder: an international Delphi study. Addiction 2021; 116 (9): 2463–2475. doi: 10.1111/add.15411.
39. Nogueira-López A, Rial-Boubeta A, Guadix-García I et al. Prevalence of problematic Internet use and problematic gaming in Spanish adolescents. Psychiatry Res 2023; 326 : 115317. doi: 10.1016/j.psychres.2023.115317
40. Billieux J, King DL, Higuchi S et al. Functional impairment matters in the screening and diagnosis of gaming disorder. J Behav Addict 2017; 6 (3): 285–289. doi: 10.1556/2006.6.2017.03.
41. Higuchi S, Nakayama H, Mihara S et al. T. Inclusion of gaming disorder criteria in ICD-11: a clinical perspective in favor. J Behav Addict 2017; 6 (3): 293–295. doi: 10.1556/2006.6.2017.049.
42. van den Brink W. ICD-11 Gaming disorder: needed and just in time or dangerous and much too early ? Commentary on: Scholars’ open debate paper on the World Health Organization ICD-11 Gaming Disorder proposal (Aarseth et al.) 2017; 6 (3): 290–292. doi: 10.1556/2006.6.2017.040.
43. James RJE, Tunney RJ. The relationship between gaming disorder and addiction requires a behavioral analysis. J Behav Addict 2017; 6 (3): 306–309. doi: 10.1556/2006.6.2017.045.
44. Billieux J, Flayelle M, Rumpf HJ et al. High Involvement versus pathological involvement in video games: a crucial distinction for ensuring the validity and utility of gaming disorder. Curr Addict Reports 2019; 6 (3): 323–330. doi: 10.1007/s40429-019-00259-x.
45. King DL, Billieux J, Carragher N et al. Face validity evaluation of screening tools for gaming disorder: Scope, language, and overpathologizing issues. J Behav Addict 2020; 9 (1): 1–13. doi: 10.1556/2006.2020.00001.
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Czech and Slovak Psychiatry
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