Authors:
Antonius J. Van Rooij Department of Communication Sciences, imec-mict-Ghent University, Ghent, Belgium

Search for other papers by Antonius J. Van Rooij in
Current site
Google Scholar
PubMed
Close
and
Daniel Kardefelt-Winther Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden

Search for other papers by Daniel Kardefelt-Winther in
Current site
Google Scholar
PubMed
Close
Open access

The paper by Kuss, Griffiths, and Pontes (2016) titled “Chaos and confusion in DSM-5 diagnosis of Internet Gaming Disorder: Issues, concerns, and recommendations for clarity in the field” examines issues relating to the concept of Internet Gaming Disorder. We agree that there are serious issues and extend their arguments by suggesting that the field lacks basic theory, definitions, patient research, and properly validated and standardized assessment tools. As most studies derive data from survey research in functional populations, they exclude people with severe functional impairment and provide only limited information on the hypothesized disorder. Yet findings from such studies are widely used and often exaggerated, leading many to believe that we know more about the problem behavior than we do. We further argue that video game play is associated with several benefits and that formalizing this popular hobby as a psychiatric disorder is not without risks. It might undermine children’s right to play or encourage repressive treatment programs, which ultimately threaten children’s right to protection against violence. While Kuss et al. express support for the formal implementation of a disorder, we argue that before we have a proper evidence base, a sound theory, and validated assessment tools, it is irresponsible to support a formal category of disorder and doing so would solidify a confirmatory approach to research in this area.

Abstract

The paper by Kuss, Griffiths, and Pontes (2016) titled “Chaos and confusion in DSM-5 diagnosis of Internet Gaming Disorder: Issues, concerns, and recommendations for clarity in the field” examines issues relating to the concept of Internet Gaming Disorder. We agree that there are serious issues and extend their arguments by suggesting that the field lacks basic theory, definitions, patient research, and properly validated and standardized assessment tools. As most studies derive data from survey research in functional populations, they exclude people with severe functional impairment and provide only limited information on the hypothesized disorder. Yet findings from such studies are widely used and often exaggerated, leading many to believe that we know more about the problem behavior than we do. We further argue that video game play is associated with several benefits and that formalizing this popular hobby as a psychiatric disorder is not without risks. It might undermine children’s right to play or encourage repressive treatment programs, which ultimately threaten children’s right to protection against violence. While Kuss et al. (2016) express support for the formal implementation of a disorder, we argue that before we have a proper evidence base, a sound theory, and validated assessment tools, it is irresponsible to support a formal category of disorder and doing so would solidify a confirmatory approach to research in this area.

This paper provides a commentary on a recent paper by Kuss, Griffiths, and Pontes (2016), in which the authors set out to review conceptual issues relating to the study of Internet Gaming Disorder and provide clarity for future research. We agree with many of the points raised in the original paper. In particular, we appreciate the review of existing criticisms directed toward the poor criteria for Internet Gaming Disorder proposed in the fifth edition of the Diagnostic and Statistical Manual of Mental Disorders (DSM-5), a review which draws on a larger collaborative effort published in the journal Addiction last year and of which we were a part (Griffiths et al., 2016). However, we also find ourselves disagreeing with some aspects of the manuscript, such as the approach taken to summarize the state of knowledge on Internet Gaming Disorder and the leveraging of this flawed evidence base to support a new category of disorder.

Kuss et al.’s (2016) paper examines issues relating to the concept of Internet Gaming Disorder, with a specific focus on the overlap and differences between problematic Internet use or “Internet addiction” on the one hand, and gaming problems or “Internet Gaming Disorder” on the other hand. Although this is a relevant distinction that deserves consideration (Király et al., 2014; Starcevic & Billieux, 2017; Van Rooij, Ferguson, Van de Mheen, & Schoenmakers, 2017), we believe it is an issue of relatively minor importance when aiming to solve the “chaos and confusion” that currently surrounds Internet Gaming Disorder. At present, the field lacks basic theory, definitions, and properly validated and standardized assessment tools. This is quite common in behavioral addiction research (Kardefelt-Winther et al., 2017), where researchers have been moving along far more quickly than our understanding permits.

While support for a new clinical disorder is expressed in the conclusions of Kuss et al.’s (2016) paper, we note that the vast majority of studies on this subject – including the ones proposing new assessment tools for the disorder – have not included patients (Pontes, 2016; Van Rooij, Schoenmakers, & Van de Mheen, 2016; Van Rooij, Van Looy, & Billieux, 2016). Combined with an overreliance on survey results and a lack of sound theoretical footing, the past two decades of research must unfortunately be said to have contributed mostly to a proverbial air castle: many claims of knowledge and consistency in findings do not hold up under closer scrutiny.

This is evident throughout the existing literature, and inconsistencies have been well documented in a series of critical studies (Billieux, Schimmenti, Khazaal, Maurage, & Heeren, 2015; Clark, 2015; Griffiths et al., 2016; Kardefelt-Winther, 2015, 2016; Kardefelt-Winther et al., 2017; Starcevic, 2013; Van Rooij & Prause, 2014; Wood, 2008). Borrowing from the paper by Kuss et al. (2016), to provide a more specific example, a typical statement common in many research papers in this field may look like this:

Twenty years of research on technology use related problems have indicated that technology overuse may result in problems that are traditionally associated with substance-related addictions, including addiction symptoms, such as salience, mood modification, withdrawal, tolerance, conflict, and relapse (Kuss, Shorter, Van Rooij, Griffiths, & Schoenmakers, 2014).”

(Kuss et al., 2016, p. 2)

From this statement, a reader might infer that there is ample evidence that technology overuse is associated with problems of the same nature and severity as substance-related addictions. This is not true: the evidence base is much weaker than this statement suggests and little is truly known about the outcomes of technology overuse. In fact, we do not even have a clear idea of how to properly define overuse or problematic use of technology (Kardefelt-Winther et al., 2017); a complicated task in a world where constant access is a reality for many. This confusion is clearly visible in the continuing trend to ambiguously discuss and compare overuse of entire media channels (Internet), certain interactive entertainment products (e.g., specific games), and digital devices (e.g., smartphone “addiction”), as highlighted by Kuss et al. (2016) in their paper. However, the problems in this field go far beyond determining what precisely we are overusing, whether it is Internet more broadly or only Internet-based games. For instance, the cited paper and the accompanying research base referenced in the paper by Kuss et al. (2016) are non-clinical in nature and represent mostly survey studies or theoretical papers.

While we respect survey work and theoretical papers in general, having contributed to many such papers ourselves, one must appropriately recognize the value of such work, and when and how to use it. Most survey-based assessments of “outcomes” of disorder are non-clinical in nature. This means that we are not able to conclude that Internet Gaming Disorder co-occurs with a clinically significant depressive disorder by finding a significant correlation between Internet Gaming Disorder and a depression measure, but rather that elevations in (averaged) Internet Gaming Disorder scores are associated with an elevation in depressive mood as self-reported by the surveyed respondents. This makes certain statements in Kuss et al.’s (2016) paper, such as “Problematic Internet and gaming use furthermore appears highly comorbid with various other mental and physical disorders, including depression, anxiety disorders, obesity, and attention-deficit hyperactivity disorder” somewhat misleading to the uninformed reader.

Self-reported survey scores are not a valid way to establish presence of a disorder in the same way as a clinical interview (Maraz, Király, & Demetrovics, 2015), which means that most claims of clinical co-morbidity are unsupported by evidence. In fact, although researchers in this field make many inferences and claims relevant only to a clinical context, a majority of the empirical work is still conducted with non-clinical populations. Thus, most populations used in survey research on technology overuse are ill-suited for the purpose of validating a new disorder. To illustrate this point, Figure 1 presents a theoretical schematic overview of a typical population triangle, assuming a low prevalent issue, adopted from approaches taken to assess gambling harm (Blaszczynski, Ladouceur, & Shaffer, 2004). In survey research on technology overuse, we are likely to find at least three groups of people: a large group of healthy users who have no problems at all with their technology use (group A: non-problematic users); a small group of people who might experience some light problems with their use (group B: problematic users); and a very small group of severely problematic, potentially functionally impaired, people who are still available in schools or universities to answer survey questions (group C: functional impairment).

Figure 1.
Figure 1.

Schematic overview of the population reachable by survey research

Citation: Journal of Behavioral Addictions 6, 2; 10.1556/2006.6.2017.015

Survey studies of technology overuse, such as Internet Gaming Disorder, lean on assessment instruments that involve questions such as “Have you been feeling miserable when you were unable to play a game?” (Lemmens, Valkenburg, & Gentile, 2015), “I feel sad if I am not able to play games” (Pontes, Király, Demetrovics, & Griffiths, 2014), or “When you were not playing, how often have you fantasized about gaming, thought of previous gaming sessions, and/or anticipated the next game?” (Király et al., 2017). Summarizing individual scores on these types of scales fairly consistently presents us with a small but sizable group of respondents that self-report experiencing some problems with their use (group B) (Ferguson, Coulson, & Barnett, 2011).

Problematically, even if these instruments would be able to assess true disorder with the same accuracy as a clinical interview (group C), which seems unlikely (Maraz et al., 2015), there is another fundamental issue at play: truly clinical cases will rarely be available to fill out survey questions. So, a problem inherent in the approach taken is the fact that a (sizable) part of the hypothesized disordered group C will not be reachable by surveys (Figure 1, top), because they are non-functional and/or likely to be at home in front of the computer. At best, a very small number of potential clinical cases are reached and included in analysis. If the researcher accepts this and is willing to study a mostly healthy population (group A) together with some potentially problematic users (group B) and a few still functional clinical cases (group C), then the researcher must recognize that the sample is highly skewed, as most people do not self-report many problems resulting from technology overuse. This makes statistical inferences about problematic users difficult based on this largely healthy population. Partly for these reasons, we argue here that we actually know very little about both (causal) risk factors and outcomes of technology overuse, and certainly not enough to make statements about comorbidity or to support a formal category of disorder. Most studies up until this point have dealt with largely healthy populations.

We believe it to be crucial for future empirical studies that this lack of knowledge is accurately reflected in literature review sections. For methodology sections, we suggest that researchers provide clear indications about the nature of the sample under study (e.g., groups A, B, or C, as explained), by carefully stating what kind of population it can actually be said to represent (e.g., students, patients, self-reported problematic users, and clinical cases).

Tying the discussion back to the original paper by Kuss et al. (2016), we argue that the current evidence base supporting the Internet Gaming Disorder construct is deeply flawed. Not only because of conceptual confusion between Internet addiction and Internet Gaming Disorder, but because the uncritical citing of survey-based findings has indeed thrown the evidence base into chaos. We cannot trust summaries of the existing body of evidence, because too much of it is based on misinterpreted survey data and exaggerated interpretations of second-hand references.

Thus, we are confused by the authors’ apparent support for inclusion of Internet Gaming Disorder in official nomenclatures, even more so given their critique of the criteria proposed. However, we are not suggesting that having a clinical diagnosis would be useless. It might stimulate research, provide a common reference point for treatment plans, and provide an incentive for insurance providers to cover patients, as Kuss et al. (2016) suggest. But political reasons, practical aspects, and an increase in funding opportunities for our research endeavors should not guide this decision process. We should call for official nomenclatures to include new disorders only when we can recognize the disorder, diagnose it and treat patients in need – currently, we lack the knowledge required to do any of this reliably.

Moreover, there are genuine risks involved in creating a new disorder. We believe that Kuss et al. (2016) do not fully consider the impact that recognizing a formal disorder would have on gamers everywhere. Gaming is different from substance abuse behaviors in that it is one of the most popular hobbies for children and adolescents worldwide, with many healthy and positive outcomes resulting from it (Granic, Lobel, & Engels, 2014). Therefore, whether we formalize extensive gaming as a disorder or a normal past-time activity is likely to impact the general population of gamers and the attitudes of their parents. Creating a formal disorder in the end might cause more harm than good: we have already witnessed the rise of “treatment centers” for Internet addiction in certain countries where military regimens are employed, followed by anecdotal reports of physical and psychological abuse of children and adolescents (Russon, 2016; The Paper, 2016). The risk of further legitimizing such violations of children’s rights should be given great consideration before a category of disorder is formally supported by researchers active in this field. This illustrates why it is vital that our thinking around potential behavioral disorders that encompass popular leisure activities or hobbies demand a different mind-set and a range of new considerations compared to when we study substance abuse behaviors (Kardefelt-Winther et al., 2017).

Conclusion and Suggestions for the Future

In conclusion, supporting the formal implementation of a disorder before we have a proper evidence base, a sound theory, or validated assessment tools, is irresponsible and solidifies a confirmatory approach to research that seems to serve the research community rather than patients, ignoring genuine risks to gamers everywhere, as a large group of authors have recently stated (Aarseth et al., 2016).

At this point, a good way forward would be for researchers to re-conceptualize what Internet Gaming Disorder truly represents, without taking practical shortcuts by grounding it in addiction theory. Researchers will need to work hard to reduce the quantity of papers produced in this field and instead improve their depth and quality. The focus on whether to call the current problem Internet addiction or Internet Gaming Disorder is not the most pertinent question at this time. While it is certainly a part of the necessary theoretical discussion, the problems we need to address are much more fundamental:

  1. 1.A basic theory needs to be developed for both Internet Gaming Disorder and behavioral addiction more broadly. A recent paper (Kardefelt-Winther et al., 2017) advances a first proposal for a definition of behavioral addiction. This definition can and should be developed further in a transparent fashion. We invite researchers to join in this development through an open science foundation framework (Billieux et al., 2016).
  2. 2.We also need to work with populations that are suitable for the results we wish to achieve, or at the very least be upfront about eventual shortcomings. Conducting more clinically oriented studies on patients that present with a combination of life impairing problems and technology overuse should help us develop proper theory and assessment tools that reflect clinical reality (Kardefelt-Winther et al., 2017).
  3. 3.Finally, we need to re-think the ways in which we produce, cite, and use “evidence” from existing literature, to avoid causing the same chaos and confusion that we now find ourselves in. Until we have more clinical studies in place, it is crucial to pay attention to what existing studies show and to not exaggerate findings.

Accounting for the points reflected above should be a cornerstone of a researcher’s formal training, but we fear that they are often overlooked in practice.

Authors’ contribution

AJVR and DK-W were directly involved in writing of the paper.

Conflict of interest

The authors declare no conflict of interest.

Acknowledgement

The authors would like to thank Prof. Joël Billieux for commenting on an earlier version of this manuscript.

References

  • Aarseth, E. , Bean, A. M. , Boonen, H. , Colder Carras, M. , Coulson, M. , Das, D. , Deleuze, J. , Dunkels, E. , Edman, J. , Ferguson, C. J. , Haagsma, M. C. , Helmersson Bergmark, K. , Hussain, Z. , Jansz, J. , Kardefelt-Winther, D. , Kutner, L. , Markey, P. , Nielsen, R. K. , Prause, N. , Przybylski, A. , Quandt, T. , Schimmenti, A. , Starcevic, V. , Stutman, G. , Van Looy, J. , & Van Rooij, A. J. (2016). Scholars’ open debate paper on the World Health Organization ICD-11 Gaming Disorder proposal. Journal of Behavioral Addictions, 14. doi:10.1556/2006.5.2016.088

    • Search Google Scholar
    • Export Citation
  • Billieux, J. , Blaszczynski, A. , Colder Carras, M. , Edman, J. , Heeren, A. , Kardefelt-Winther, D. , Khazaal, Y. , Maurage, P. , Schimmenti, A. , & Van Rooij, A. J. (2016). Behavioral Addiction: Open definition development. doi:10.17605/OSF.IO/Q2VVA

    • Search Google Scholar
    • Export Citation
  • Billieux, J. , Schimmenti, A. , Khazaal, Y. , Maurage, P. , & Heeren, A. (2015). Are we overpathologizing everyday life? A tenable blueprint for behavioral addiction research. Journal of Behavioral Addictions, 4(3), 119123. doi:10.1556/2006.4.2015.009

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Blaszczynski, A. , Ladouceur, R. , & Shaffer, H. J. (2004). A science-based framework for responsible gambling: The Reno model. Journal of Gambling Studies, 20(3), 301317. doi:10.1023/B:JOGS.0000040281.49444.e2

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Clark, L. (2015). Commentary on: Are we overpathologizing everyday life? A tenable blueprint for behavioral addiction research. Journal of Behavioral Addictions, 4(3), 132134. doi:10.1556/2006.4.2015.014

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Ferguson, C. J. , Coulson, M. , & Barnett, J. (2011). A meta-analysis of pathological gaming prevalence and comorbidity with mental health, academic and social problems. Journal of Psychiatric Research, 45(12), 15731578. doi:10.1016/j.jpsychires.2011.09.005

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Granic, I. , Lobel, A. , & Engels, R. C. M. E. (2014). The benefits of playing video games. The American Psychologist, 69(1), 6678. doi:10.1037/a0034857

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Griffiths, M. D. , Van Rooij, A. J. , Kardefelt-Winther, D. , Starcevic, V. , Király, O. , Pallesen, S. , Müller, K. , Dreier, M. , Carras, M. , Prause, N. , King, D. L. , Aboujaoude, E. , Kuss, D. J. , Pontes, H. M. , Lopez Fernandez, O. , Nagygyorgy, K. , Achab, S. , Billieux, J. , Quandt, T. , Carbonell, X. , Ferguson, C. J. , Hoff, R. A. , Derevensky, J. , Haagsma, M. C. , Delfabbro, P. , Coulson, M. , Hussain, Z. , & Demetrovics, Z. (2016). Working towards an international consensus on criteria for assessing Internet gaming disorder: A critical commentary on Petry et al. (2014). Addiction, 111(1), 167175. doi:10.1111/add.13057

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Kardefelt-Winther, D. (2015). A critical account of DSM-5 criteria for Internet gaming disorder. Addiction Research & Theory, 23(2), 9398. doi:10.3109/16066359.2014.935350

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Kardefelt-Winther, D. (2016). Conceptualizing Internet use disorders: Addiction or coping process? Psychiatry and Clinical Neurosciences. doi:10.1111/pcn.12413

    • Search Google Scholar
    • Export Citation
  • Kardefelt-Winther, D. , Heeren, A. , Schimmenti, A. , Van Rooij, A. J. , Maurage, P. , Colder Carras, M. , Edman, J. , Blaszczynski, A. , Khazaal, Y. , & Billieux, J. (2017). How can we conceptualize behavioral addiction without pathologizing common behaviors? Addiction, 17. doi:10.1111/add.13763

    • Search Google Scholar
    • Export Citation
  • Király, O. , Griffiths, M. D. , Urbán, R. , Farkas, J. , Kökönyei, G. , Elekes, Z. , Tamás, D. , & Demetrovics, Z. (2014). Problematic Internet use and problematic online gaming are not the same: Findings from a large nationally representative adolescent sample. Cyberpsychology, Behavior and Social Networking, 17(12), 749754. doi:10.1089/cyber.2014.0475

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Király, O. , Sleczka, P. , Pontes, H. M. , Urbán, R. , Griffiths, M. D. , & Demetrovics, Z. (2017). Validation of the Ten-Item Internet Gaming Disorder Test (IGDT-10) and evaluation of the nine DSM-5 Internet Gaming Disorder criteria. Addictive Behaviors, 64, 253260. doi:10.1016/j.addbeh.2015.11.005

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Kuss, D. J. , Griffiths, M. D. , & Pontes, H. M. (2016). Chaos and confusion in DSM-5 diagnosis of Internet Gaming Disorder: Issues, concerns, and recommendations for clarity in the field. Journal of Behavioral Addictions, 17. doi:10.1556/2006.5.2016.062

    • Search Google Scholar
    • Export Citation
  • Kuss, D. J. , Shorter, G. W. , Van Rooij, A. J. , Griffiths, M. D. , & Schoenmakers, T. M. (2014). Assessing Internet addiction using the parsimonious Internet addiction components model – A preliminary study. International Journal of Mental Health and Addiction, 12(3), 351366. doi:10.1007/s11469-013-9459-9

    • Search Google Scholar
    • Export Citation
  • Lemmens, J. S. , Valkenburg, P. M. , & Gentile, D. A. (2015). The Internet Gaming Disorder scale. Psychological Assessment, 27(2), 567582. doi:10.1037/pas0000062

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Maraz, A. , Király, O. , & Demetrovics, Z. (2015). Commentary on: Are we overpathologizing everyday life? A tenable blueprint for behavioral addiction research. The diagnostic pitfalls of surveys: If you score positive on a test of addiction, you still have a good chance not to be addicted. Journal of Behavioral Addictions, 4(3), 151154. doi:10.1556/2006.4.2015.026

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Pontes, H. M. (2016). Current practices in the clinical and psychometric assessment of Internet gaming disorder in the era of the DSM-5: A mini review of existing assessment tools. Mental Health and Addiction Research, 1(1), 1819. doi:10.15761/MHAR.1000105

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Pontes, H. M. , Király, O. , Demetrovics, Z. , & Griffiths, M. D. (2014). The conceptualisation and measurement of DSM-5 Internet Gaming Disorder: The development of the IGD-20 Test. PLoS One, 9(10), e110137. doi:10.1371/journal.pone.0110137

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Russon, M.-A. (2016). Abductions, beatings and death: The horrifying truth behind China’s Internet addiction boot camps. Retrieved from http://www.ibtimes.co.uk/abductions-beatings-death-horrifying-truth-behind-chinas-internet-addiction-boot-camps-1582989. Accessed on: December 26, 2016. (Archived by WebCite at http://www.webcitation.org/6n38cKxtm)

    • Search Google Scholar
    • Export Citation
  • Starcevic, V. (2013). Is Internet addiction a useful concept? The Australian and New Zealand Journal of Psychiatry, 47(1), 1619. doi:10.1177/0004867412461693

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Starcevic, V. , & Billieux, J. (2017). Does the construct of Internet addiction reflect a single entity or a spectrum of disorders? Clinical Neuropsychiatry, 14(1), 510.

    • Search Google Scholar
    • Export Citation
  • The Paper. (2016). From the end of matricide quit school girl behind the net: Violence captured, corporal punishment at any time and mystery expert. Retrieved from http://www.thepaper.cn/newsDetail_forward_1532141. Accessed on: December 26, 2016. (Archived by WebCite at http://www.webcitation.org/6n37PXWwc)

    • Search Google Scholar
    • Export Citation
  • Van Rooij, A. J. , Ferguson, C. J. , Van de Mheen, D. , & Schoenmakers, T. M. (2017). Time to abandon Internet Addiction? Predicting problematic Internet, game, and social media use from psychosocial well-being and application use. Clinical Neuropsychiatry, 14(1), 113121.

    • Search Google Scholar
    • Export Citation
  • Van Rooij, A. J. , & Prause, N. (2014). A critical review of “Internet addiction” criteria with suggestions for the future. Journal of Behavioral Addictions, 3(4), 203213. doi:10.1556/JBA.3.2014.4.1

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Van Rooij, A. J. , Schoenmakers, T. M. , & Van de Mheen, D. (2016). Clinical validation of the C-VAT 2.0 assessment tool for gaming disorder: A sensitivity analysis of the proposed DSM-5 criteria and the clinical characteristics of young patients with “video game addiction.” Paper presented at the International Conference on Behavioral Addictions (ICBA), Geneva. Abstract retrieved from https://doi.org/10.1556/JBA.5.2015.Suppl.1

    • Search Google Scholar
    • Export Citation
  • Van Rooij, A. J. , Van Looy, J. , & Billieux, J. (2016). Internet Gaming Disorder as a formative construct: Implications for conceptualization and measurement. Psychiatry and Clinical Neurosciences, 114. doi:10.1111/pcn.12404

    • Search Google Scholar
    • Export Citation
  • Wood, R. T. A. (2008). Problems with the concept of video game “addiction”: Some case study examples. International Journal of Mental Health and Addiction, 6(2), 169178. doi:10.1007/s11469-007-9118-0

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Aarseth, E. , Bean, A. M. , Boonen, H. , Colder Carras, M. , Coulson, M. , Das, D. , Deleuze, J. , Dunkels, E. , Edman, J. , Ferguson, C. J. , Haagsma, M. C. , Helmersson Bergmark, K. , Hussain, Z. , Jansz, J. , Kardefelt-Winther, D. , Kutner, L. , Markey, P. , Nielsen, R. K. , Prause, N. , Przybylski, A. , Quandt, T. , Schimmenti, A. , Starcevic, V. , Stutman, G. , Van Looy, J. , & Van Rooij, A. J. (2016). Scholars’ open debate paper on the World Health Organization ICD-11 Gaming Disorder proposal. Journal of Behavioral Addictions, 14. doi:10.1556/2006.5.2016.088

    • Search Google Scholar
    • Export Citation
  • Billieux, J. , Blaszczynski, A. , Colder Carras, M. , Edman, J. , Heeren, A. , Kardefelt-Winther, D. , Khazaal, Y. , Maurage, P. , Schimmenti, A. , & Van Rooij, A. J. (2016). Behavioral Addiction: Open definition development. doi:10.17605/OSF.IO/Q2VVA

    • Search Google Scholar
    • Export Citation
  • Billieux, J. , Schimmenti, A. , Khazaal, Y. , Maurage, P. , & Heeren, A. (2015). Are we overpathologizing everyday life? A tenable blueprint for behavioral addiction research. Journal of Behavioral Addictions, 4(3), 119123. doi:10.1556/2006.4.2015.009

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Blaszczynski, A. , Ladouceur, R. , & Shaffer, H. J. (2004). A science-based framework for responsible gambling: The Reno model. Journal of Gambling Studies, 20(3), 301317. doi:10.1023/B:JOGS.0000040281.49444.e2

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Clark, L. (2015). Commentary on: Are we overpathologizing everyday life? A tenable blueprint for behavioral addiction research. Journal of Behavioral Addictions, 4(3), 132134. doi:10.1556/2006.4.2015.014

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Ferguson, C. J. , Coulson, M. , & Barnett, J. (2011). A meta-analysis of pathological gaming prevalence and comorbidity with mental health, academic and social problems. Journal of Psychiatric Research, 45(12), 15731578. doi:10.1016/j.jpsychires.2011.09.005

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Granic, I. , Lobel, A. , & Engels, R. C. M. E. (2014). The benefits of playing video games. The American Psychologist, 69(1), 6678. doi:10.1037/a0034857

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Griffiths, M. D. , Van Rooij, A. J. , Kardefelt-Winther, D. , Starcevic, V. , Király, O. , Pallesen, S. , Müller, K. , Dreier, M. , Carras, M. , Prause, N. , King, D. L. , Aboujaoude, E. , Kuss, D. J. , Pontes, H. M. , Lopez Fernandez, O. , Nagygyorgy, K. , Achab, S. , Billieux, J. , Quandt, T. , Carbonell, X. , Ferguson, C. J. , Hoff, R. A. , Derevensky, J. , Haagsma, M. C. , Delfabbro, P. , Coulson, M. , Hussain, Z. , & Demetrovics, Z. (2016). Working towards an international consensus on criteria for assessing Internet gaming disorder: A critical commentary on Petry et al. (2014). Addiction, 111(1), 167175. doi:10.1111/add.13057

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Kardefelt-Winther, D. (2015). A critical account of DSM-5 criteria for Internet gaming disorder. Addiction Research & Theory, 23(2), 9398. doi:10.3109/16066359.2014.935350

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Kardefelt-Winther, D. (2016). Conceptualizing Internet use disorders: Addiction or coping process? Psychiatry and Clinical Neurosciences. doi:10.1111/pcn.12413

    • Search Google Scholar
    • Export Citation
  • Kardefelt-Winther, D. , Heeren, A. , Schimmenti, A. , Van Rooij, A. J. , Maurage, P. , Colder Carras, M. , Edman, J. , Blaszczynski, A. , Khazaal, Y. , & Billieux, J. (2017). How can we conceptualize behavioral addiction without pathologizing common behaviors? Addiction, 17. doi:10.1111/add.13763

    • Search Google Scholar
    • Export Citation
  • Király, O. , Griffiths, M. D. , Urbán, R. , Farkas, J. , Kökönyei, G. , Elekes, Z. , Tamás, D. , & Demetrovics, Z. (2014). Problematic Internet use and problematic online gaming are not the same: Findings from a large nationally representative adolescent sample. Cyberpsychology, Behavior and Social Networking, 17(12), 749754. doi:10.1089/cyber.2014.0475

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Király, O. , Sleczka, P. , Pontes, H. M. , Urbán, R. , Griffiths, M. D. , & Demetrovics, Z. (2017). Validation of the Ten-Item Internet Gaming Disorder Test (IGDT-10) and evaluation of the nine DSM-5 Internet Gaming Disorder criteria. Addictive Behaviors, 64, 253260. doi:10.1016/j.addbeh.2015.11.005

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Kuss, D. J. , Griffiths, M. D. , & Pontes, H. M. (2016). Chaos and confusion in DSM-5 diagnosis of Internet Gaming Disorder: Issues, concerns, and recommendations for clarity in the field. Journal of Behavioral Addictions, 17. doi:10.1556/2006.5.2016.062

    • Search Google Scholar
    • Export Citation
  • Kuss, D. J. , Shorter, G. W. , Van Rooij, A. J. , Griffiths, M. D. , & Schoenmakers, T. M. (2014). Assessing Internet addiction using the parsimonious Internet addiction components model – A preliminary study. International Journal of Mental Health and Addiction, 12(3), 351366. doi:10.1007/s11469-013-9459-9

    • Search Google Scholar
    • Export Citation
  • Lemmens, J. S. , Valkenburg, P. M. , & Gentile, D. A. (2015). The Internet Gaming Disorder scale. Psychological Assessment, 27(2), 567582. doi:10.1037/pas0000062

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Maraz, A. , Király, O. , & Demetrovics, Z. (2015). Commentary on: Are we overpathologizing everyday life? A tenable blueprint for behavioral addiction research. The diagnostic pitfalls of surveys: If you score positive on a test of addiction, you still have a good chance not to be addicted. Journal of Behavioral Addictions, 4(3), 151154. doi:10.1556/2006.4.2015.026

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Pontes, H. M. (2016). Current practices in the clinical and psychometric assessment of Internet gaming disorder in the era of the DSM-5: A mini review of existing assessment tools. Mental Health and Addiction Research, 1(1), 1819. doi:10.15761/MHAR.1000105

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Pontes, H. M. , Király, O. , Demetrovics, Z. , & Griffiths, M. D. (2014). The conceptualisation and measurement of DSM-5 Internet Gaming Disorder: The development of the IGD-20 Test. PLoS One, 9(10), e110137. doi:10.1371/journal.pone.0110137

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Russon, M.-A. (2016). Abductions, beatings and death: The horrifying truth behind China’s Internet addiction boot camps. Retrieved from http://www.ibtimes.co.uk/abductions-beatings-death-horrifying-truth-behind-chinas-internet-addiction-boot-camps-1582989. Accessed on: December 26, 2016. (Archived by WebCite at http://www.webcitation.org/6n38cKxtm)

    • Search Google Scholar
    • Export Citation
  • Starcevic, V. (2013). Is Internet addiction a useful concept? The Australian and New Zealand Journal of Psychiatry, 47(1), 1619. doi:10.1177/0004867412461693

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Starcevic, V. , & Billieux, J. (2017). Does the construct of Internet addiction reflect a single entity or a spectrum of disorders? Clinical Neuropsychiatry, 14(1), 510.

    • Search Google Scholar
    • Export Citation
  • The Paper. (2016). From the end of matricide quit school girl behind the net: Violence captured, corporal punishment at any time and mystery expert. Retrieved from http://www.thepaper.cn/newsDetail_forward_1532141. Accessed on: December 26, 2016. (Archived by WebCite at http://www.webcitation.org/6n37PXWwc)

    • Search Google Scholar
    • Export Citation
  • Van Rooij, A. J. , Ferguson, C. J. , Van de Mheen, D. , & Schoenmakers, T. M. (2017). Time to abandon Internet Addiction? Predicting problematic Internet, game, and social media use from psychosocial well-being and application use. Clinical Neuropsychiatry, 14(1), 113121.

    • Search Google Scholar
    • Export Citation
  • Van Rooij, A. J. , & Prause, N. (2014). A critical review of “Internet addiction” criteria with suggestions for the future. Journal of Behavioral Addictions, 3(4), 203213. doi:10.1556/JBA.3.2014.4.1

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Van Rooij, A. J. , Schoenmakers, T. M. , & Van de Mheen, D. (2016). Clinical validation of the C-VAT 2.0 assessment tool for gaming disorder: A sensitivity analysis of the proposed DSM-5 criteria and the clinical characteristics of young patients with “video game addiction.” Paper presented at the International Conference on Behavioral Addictions (ICBA), Geneva. Abstract retrieved from https://doi.org/10.1556/JBA.5.2015.Suppl.1

    • Search Google Scholar
    • Export Citation
  • Van Rooij, A. J. , Van Looy, J. , & Billieux, J. (2016). Internet Gaming Disorder as a formative construct: Implications for conceptualization and measurement. Psychiatry and Clinical Neurosciences, 114. doi:10.1111/pcn.12404

    • Search Google Scholar
    • Export Citation
  • Wood, R. T. A. (2008). Problems with the concept of video game “addiction”: Some case study examples. International Journal of Mental Health and Addiction, 6(2), 169178. doi:10.1007/s11469-007-9118-0

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Collapse
  • Expand
The author instruction is available in PDF.
Please, download the file from HERE

Dr. Zsolt Demetrovics
Institute of Psychology, ELTE Eötvös Loránd University
Address: Izabella u. 46. H-1064 Budapest, Hungary
Phone: +36-1-461-2681
E-mail: jba@ppk.elte.hu

Indexing and Abstracting Services:

  • Web of Science [Science Citation Index Expanded (also known as SciSearch®)
  • Journal Citation Reports/Science Edition
  • Social Sciences Citation Index®
  • Journal Citation Reports/ Social Sciences Edition
  • Current Contents®/Social and Behavioral Sciences
  • EBSCO
  • GoogleScholar
  • PsycINFO
  • PubMed Central
  • SCOPUS
  • Medline
  • CABI
  • CABELLS Journalytics

2022  
Web of Science  
Total Cites
WoS
5713
Journal Impact Factor 7.8
Rank by Impact Factor

Psychiatry (SCIE) 18/155
Psychiatry (SSCI) 13/144

Impact Factor
without
Journal Self Cites
7.2
5 Year
Impact Factor
8.9
Journal Citation Indicator 1.42
Rank by Journal Citation Indicator

Psychiatry 35/264

Scimago  
Scimago
H-index
69
Scimago
Journal Rank
1.918
Scimago Quartile Score Clinical Psychology Q1
Medicine (miscellaneous) Q1
Psychiatry and Mental Health Q1
Scopus  
Scopus
Cite Score
11.1
Scopus
Cite Score Rank
Clinical Psychology 10/292 (96th PCTL)
Psychiatry and Mental Health 30/531 (94th PCTL)
Medicine (miscellaneous) 25/309 (92th PCTL)
Scopus
SNIP
1.966

 

 
2021  
Web of Science  
Total Cites
WoS
5223
Journal Impact Factor 7,772
Rank by Impact Factor Psychiatry SCIE 26/155
Psychiatry SSCI 19/142
Impact Factor
without
Journal Self Cites
7,130
5 Year
Impact Factor
9,026
Journal Citation Indicator 1,39
Rank by Journal Citation Indicator

Psychiatry 34/257

Scimago  
Scimago
H-index
56
Scimago
Journal Rank
1,951
Scimago Quartile Score Clinical Psychology (Q1)
Medicine (miscellaneous) (Q1)
Psychiatry and Mental Health (Q1)
Scopus  
Scopus
Cite Score
11,5
Scopus
CIte Score Rank
Clinical Psychology 5/292 (D1)
Psychiatry and Mental Health 20/529 (D1)
Medicine (miscellaneous) 17/276 (D1)
Scopus
SNIP
2,184

2020  
Total Cites 4024
WoS
Journal
Impact Factor
6,756
Rank by Psychiatry (SSCI) 12/143 (Q1)
Impact Factor Psychiatry 19/156 (Q1)
Impact Factor 6,052
without
Journal Self Cites
5 Year 8,735
Impact Factor
Journal  1,48
Citation Indicator  
Rank by Journal  Psychiatry 24/250 (Q1)
Citation Indicator   
Citable 86
Items
Total 74
Articles
Total 12
Reviews
Scimago 47
H-index
Scimago 2,265
Journal Rank
Scimago Clinical Psychology Q1
Quartile Score Psychiatry and Mental Health Q1
  Medicine (miscellaneous) Q1
Scopus 3593/367=9,8
Scite Score  
Scopus Clinical Psychology 7/283 (Q1)
Scite Score Rank Psychiatry and Mental Health 22/502 (Q1)
Scopus 2,026
SNIP  
Days from  38
submission  
to 1st decision  
Days from  37
acceptance  
to publication  
Acceptance 31%
Rate  

2019  
Total Cites
WoS
2 184
Impact Factor 5,143
Impact Factor
without
Journal Self Cites
4,346
5 Year
Impact Factor
5,758
Immediacy
Index
0,587
Citable
Items
75
Total
Articles
67
Total
Reviews
8
Cited
Half-Life
3,3
Citing
Half-Life
6,8
Eigenfactor
Score
0,00597
Article Influence
Score
1,447
% Articles
in
Citable Items
89,33
Normalized
Eigenfactor
0,7294
Average
IF
Percentile
87,923
Scimago
H-index
37
Scimago
Journal Rank
1,767
Scopus
Scite Score
2540/376=6,8
Scopus
Scite Score Rank
Cllinical Psychology 16/275 (Q1)
Medicine (miscellenous) 31/219 (Q1)
Psychiatry and Mental Health 47/506 (Q1)
Scopus
SNIP
1,441
Acceptance
Rate
32%

 

Journal of Behavioral Addictions
Publication Model Gold Open Access
Submission Fee none
Article Processing Charge 990 EUR/article for articles submitted after 30 April 2023 (850 EUR for articles submitted prior to this date)
Regional discounts on country of the funding agency World Bank Lower-middle-income economies: 50%
World Bank Low-income economies: 100%
Further Discounts Corresponding authors, affiliated to an EISZ member institution subscribing to the journal package of Akadémiai Kiadó: 100%.
Subscription Information Gold Open Access

Journal of Behavioral Addictions
Language English
Size A4
Year of
Foundation
2011
Volumes
per Year
1
Issues
per Year
4
Founder Eötvös Loránd Tudományegyetem
Founder's
Address
H-1053 Budapest, Hungary Egyetem tér 1-3.
Publisher Akadémiai Kiadó
Publisher's
Address
H-1117 Budapest, Hungary 1516 Budapest, PO Box 245.
Responsible
Publisher
Chief Executive Officer, Akadémiai Kiadó
ISSN 2062-5871 (Print)
ISSN 2063-5303 (Online)

Senior editors

Editor(s)-in-Chief: Zsolt DEMETROVICS

Assistant Editor(s): Csilla ÁGOSTON

Associate Editors

  • Stephanie ANTONS (Universitat Duisburg-Essen, Germany)
  • Joel BILLIEUX (University of Lausanne, Switzerland)
  • Beáta BŐTHE (University of Montreal, Canada)
  • Matthias BRAND (University of Duisburg-Essen, Germany)
  • Ruth J. van HOLST (Amsterdam UMC, The Netherlands)
  • Daniel KING (Flinders University, Australia)
  • Gyöngyi KÖKÖNYEI (ELTE Eötvös Loránd University, Hungary)
  • Ludwig KRAUS (IFT Institute for Therapy Research, Germany)
  • Marc N. POTENZA (Yale University, USA)
  • Hans-Jurgen RUMPF (University of Lübeck, Germany)

Editorial Board

  • Max W. ABBOTT (Auckland University of Technology, New Zealand)
  • Elias N. ABOUJAOUDE (Stanford University School of Medicine, USA)
  • Hojjat ADELI (Ohio State University, USA)
  • Alex BALDACCHINO (University of Dundee, United Kingdom)
  • Alex BLASZCZYNSKI (University of Sidney, Australia)
  • Judit BALÁZS (ELTE Eötvös Loránd University, Hungary)
  • Kenneth BLUM (University of Florida, USA)
  • Henrietta BOWDEN-JONES (Imperial College, United Kingdom)
  • Wim VAN DEN BRINK (University of Amsterdam, The Netherlands)
  • Gerhard BÜHRINGER (Technische Universität Dresden, Germany)
  • Sam-Wook CHOI (Eulji University, Republic of Korea)
  • Damiaan DENYS (University of Amsterdam, The Netherlands)
  • Jeffrey L. DEREVENSKY (McGill University, Canada)
  • Naomi FINEBERG (University of Hertfordshire, United Kingdom)
  • Marie GRALL-BRONNEC (University Hospital of Nantes, France)
  • Jon E. GRANT (University of Minnesota, USA)
  • Mark GRIFFITHS (Nottingham Trent University, United Kingdom)
  • Anneke GOUDRIAAN (University of Amsterdam, The Netherlands)
  • Heather HAUSENBLAS (Jacksonville University, USA)
  • Tobias HAYER (University of Bremen, Germany)
  • Susumu HIGUCHI (National Hospital Organization Kurihama Medical and Addiction Center, Japan)
  • David HODGINS (University of Calgary, Canada)
  • Eric HOLLANDER (Albert Einstein College of Medicine, USA)
  • Jaeseung JEONG (Korea Advanced Institute of Science and Technology, Republic of Korea)
  • Yasser KHAZAAL (Geneva University Hospital, Switzerland)
  • Orsolya KIRÁLY (Eötvös Loránd University, Hungary)
  • Emmanuel KUNTSCHE (La Trobe University, Australia)
  • Hae Kook LEE (The Catholic University of Korea, Republic of Korea)
  • Michel LEJOXEUX (Paris University, France)
  • Anikó MARÁZ (Humboldt-Universität zu Berlin, Germany)
  • Giovanni MARTINOTTI (‘Gabriele d’Annunzio’ University of Chieti-Pescara, Italy)
  • Astrid MÜLLER  (Hannover Medical School, Germany)
  • Frederick GERARD MOELLER (University of Texas, USA)
  • Daniel Thor OLASON (University of Iceland, Iceland)
  • Nancy PETRY (University of Connecticut, USA)
  • Bettina PIKÓ (University of Szeged, Hungary)
  • Afarin RAHIMI-MOVAGHAR (Teheran University of Medical Sciences, Iran)
  • József RÁCZ (Hungarian Academy of Sciences, Hungary)
  • Rory C. REID (University of California Los Angeles, USA)
  • Marcantanio M. SPADA (London South Bank University, United Kingdom)
  • Daniel SPRITZER (Study Group on Technological Addictions, Brazil)
  • Dan J. STEIN (University of Cape Town, South Africa)
  • Sherry H. STEWART (Dalhousie University, Canada)
  • Attila SZABÓ (Eötvös Loránd University, Hungary)
  • Ferenc TÚRY (Semmelweis University, Hungary)
  • Alfred UHL (Austrian Federal Health Institute, Austria)
  • Róbert URBÁN  (ELTE Eötvös Loránd University, Hungary)
  • Johan VANDERLINDEN (University Psychiatric Center K.U.Leuven, Belgium)
  • Alexander E. VOISKOUNSKY (Moscow State University, Russia)
  • Aviv M. WEINSTEIN  (Ariel University, Israel)
  • Kimberly YOUNG (Center for Internet Addiction, USA)

 

Monthly Content Usage

Abstract Views Full Text Views PDF Downloads
Jun 2023 0 23 19
Jul 2023 0 19 9
Aug 2023 0 17 6
Sep 2023 0 26 12
Oct 2023 0 44 21
Nov 2023 0 42 14
Dec 2023 0 3 0