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More term warfare: Is the concept of ‘internet addiction’ a misnomer?

A recent study by Professor Phil Reed and his colleagues published in the Journal of Clinical Psychiatry provided some experimental evidence that internet addicts may be conditioned by what they view on the screen. Given that I was the first person in the world to publish an academic paper on internet addiction back in November 1996 it’s good to see that the number of studies into internet addiction has grown substantially over the last 20 years and that there are now hundreds of studies that have investigated the disorder worldwide in many different ways.

This newly published study is one of the few in the field that has investigated internet addiction from an experimental perspective (as opposed the majority that use self-report survey methods and the increasing number of neuroimaging studies examining what happens inside the brains of those who spend excessive amounts of time online).

Professor Reed’s study involved 100 adult volunteers who were deprived of internet access for four hours. The research team then asked the participants to name a colour (the first one that they could think of) and then gave them 15 minutes to access any websites that they wanted to on the internet. The research team monitored all the sites that the participants visited and after the 15-minute period they were again asked to think of the first colour that came to mind. The participants were also asked to complete various psychometric questionnaires including the Internet Addiction Test (IAT). The IAT is a 20-item test where each item is scored from 0 [not applicable] or 1 [rarely] up to 5 [always]. An example item is How often do you check your e-mail before something else that you need to do?” Those scoring 80 or above (out of 100) are typically defined as having a probable addiction to the internet by those who have used the IAT in previous studies.

Those classed as “high problem [internet] users” on the basis of IAT scores (and who were deprived internet access) were more likely to choose a colour that was prominent on the websites they visited during the 15-minute period after internet deprivation. This wasn’t found in those not classed as internet addicts. Professor Reed said:

“The internet addicts chose a colour associated with the websites they had just visited [and] suggests that aspects of the websites viewed after a period without the net became positively valued. Similar findings have been seen with people who misuse substances, with previous studies showing that a cue associated with any drug that relieves withdrawal becomes positively valued itself. This is the first time though that such an effect has been seen for a behavioural addiction like problematic internet usage”.

While this is an interesting finding there are some major shortcomings both from a methodological standpoint and from a more conceptual angle. Firstly, the number of high problem internet users that were deprived internet access for four hours comprised just 12 individuals so the sample size was incredibly low. Secondly, the individuals classed as high problem internet users had IAT scores ranging from 40 to 72. In short, it is highly unlikely that any of the participants were actually addicted to the internet. Thirdly, although the IAT is arguably the most used screen in the field, it has questionable reliability and validity and is now very out-dated (having been devised in 1998) and does not use the criteria suggested for Internet Disorder in the latest (fifth) edition of the American Psychiatric Association’s Diagnostic and Statistical Manual of Mental Disorders (DSM-5). Using more recently developed instruments such as our own Internet Disorder Scale would have perhaps overcome some of these problems.

There are also much wider problems with the use of the term ‘internet addiction’ as most studies in the field have really investigated addictions on the internet rather than to the internet. For instance, individuals addicted to online gaming, online gambling or online shopping are not internet addicts. They are gambling addicts, gaming addicts or shopping addicts that are using the medium of the internet to engage in their addictive behaviour. There are of course some activities – such as social networking – that could be argued to be a genuine type of internet addiction as such activities only take place online. However, the addiction is to an application rather than the internet itself and this should be termed social networking addiction rather than internet addiction. In short, the overwhelming majority of so-called internet addicts are no more addicted to the internet than alcoholics are addicted to the bottle.

A shorter version of this article was first published in The Conversation

Dr Mark Griffiths, Professor of Behavioural Addiction, International Gaming Research Unit, Nottingham Trent University, Nottingham, UK

Further reading

Griffiths, M.D. & Kuss, D.J. (2015). Online addictions: The case of gambling, video gaming, and social networking. In Sundar, S.S. (Ed.), Handbook of the Psychology of Communication Technology (pp.384-403). Chichester: Wiley-Blackwell.

Griffiths, M.D., Kuss, D.J. & Demetrovics, Z. (2014). Social networking addiction: An overview of preliminary findings. In K. Rosenberg & L. Feder (Eds.), Behavioral Addictions: Criteria, Evidence and Treatment (pp.119-141). New York: Elsevier.

Griffiths, M.D., Kuss, D.J., Billieux J. & Pontes, H.M. (2016). The evolution of internet addiction: A global perspective. Addictive Behaviors, 53, 193–195.

Griffiths, M.D. & Pontes, H.M. (2014). Internet addiction disorder and internet gaming disorder are not the same. Journal of Addiction Research and Therapy, 5: e124. doi:10.4172/2155-6105.1000e124.

Kuss, D.J. & Griffiths, M.D. (2015). Internet Addiction in Psychotherapy. Basingstoke: Palgrave Macmillan.

Kuss, D.J., Griffiths, M.D., Karila, L. & Billieux, J. (2014). Internet addiction: A systematic review of epidemiological research for the last decade. Current Pharmaceutical Design, 20, 4026-4052.

Osborne, L. A., Romano, M., Re, F., Roaro, A., Truzoli, R., & Reed, P. (2016). Evidence for an internet addiction disorder: internet exposure reinforces color preference in withdrawn problem users. Journal of Clinical Psychiatry, 77(2), 269-274.

Pontes, H.M., Kuss, D.J. & Griffiths, M.D. (2015). The clinical psychology of Internet addiction: A review of its conceptualization, prevalence, neuronal processes, and implications for treatment. Neuroscience and Neuroeconomics, 4, 11-23.

Pontes, H.M., Szabo, A. & Griffiths, M.D. (2015). The impact of Internet-based specific activities on the perceptions of Internet Addiction, Quality of Life, and excessive usage: A cross-sectional study. Addictive Behaviors Reports, 1, 19-25.

Net gains: A brief overview of our recent papers on Internet addiction

Following my recent blogs where I outlined some of the papers that I and my colleagues have published on mindfulness, I got a couple of emails asking if I could do the same thing on other areas that we have been researching into. So, here it is.

Pontes, H.M., Szabo, A. & Griffiths, M.D. (2015). The impact of Internet-based specific activities on the perceptions of Internet Addiction, Quality of Life, and excessive usage: A cross-sectional study. Addictive Behaviors Reports, 1, 19-25.

  • Introduction: Recent research has examined the context in which preference for specific online activities arises, leading researchers to suggest that excessive Internet users are engaged in specific activities rather than ‘generalized’ Internet use. The present study aimed to partially replicate and expand these findings by addressing four research questions regarding (i) participants’ preferred online activities, (i) possible expected changes in online behavior in light of hypothetical scenarios, (iii) perceived quality of life when access to Internet was not possible, and (iv) how participants with self-diagnosed Internet addiction relate to intensity and frequency of Internet use. Methods: A cross-sectional design was adopted using convenience and snowball sampling to recruit participants. A total of 1057 Internet users with ages ranging from 16 to 70 years (Mean age= 30 years, SD = 10.84) were recruited online via several English-speaking online forums. Results: Most participants indicated that their preferred activities were (i) accessing general information and news, (ii) social networking, and (iii) using e-mail and/or online chatting. Participants also reported that there would be a significant decrease of their Internet use if access to their preferred activities was restricted. The study also found that 51% of the total sample perceived themselves as being addicted to the Internet, while 14.1% reported that without the Internet their life would be improved. Conclusions: The context in which the Internet is used appears to determine the intensity and the lengths that individuals will go to use this tool. The implications of these findings are further discussed.

Pontes, H.M., Kuss, D.J. & Griffiths, M.D. (2015). The clinical psychology of Internet addiction: A review of its conceptualization, prevalence, neuronal processes, and implications for treatment. Neuroscience and Neuroeconomics, 4, 11-23.

  • Research into Internet addiction (IA) has grown rapidly over the last decade. The topic has generated a great deal of debate, particularly in relation to how IA can be defined conceptually as well as the many methodological limitations. The present review aims to further elaborate and clarify issues that are relevant to IA research in a number of areas including: definition and characterization, incidence and prevalence rates, associated neuronal processes, and implications for treatment, prevention, and patient-specific considerations. It is concluded that there is no consensual definition for IA. Prevalence rates among nationally representative samples across several countries vary greatly (from 1% to 18.7%), most likely reflecting the lack of methodological consistency and conceptual rigor of the studies. The overlaps between IA and other more traditional substance-based addictions and the possible neural substrates implicated in IA are also highlighted. In terms of treatment and prevention, both psychological and pharmacological treatments are examined in light of existing evidence alongside particular aspects inherent to the patient perspective. Based on the evidence analyzed, it is concluded that IA may pose a serious health hazard to a minority of people.

Lai, C-L., Mak, K-K., Cheng, C., Watanabe, H., Nomachi, S., Bahar, N., Young, K.S., Ko, H-C., Kim, D. & Griffiths, M.D. (2015). Measurement invariance of Internet Addiction Test among Hong Kong, Japanese, and Malaysian adolescents: An item response analysis. Cyberpsychology, Behavior and Social Networking, 18, 609-617.

  • There has been increased research examining the psychometric properties on the Internet Addiction Test (IAT) in different populations. This population-based study examined the psychometric properties and measurement invariance of the IAT in adolescents from three Asian countries. In the Asian Adolescent Risk Behavior Survey (AARBS), 2,535 secondary school students (55.9% girls) aged 12-18 years from Hong Kong (n=844), Japan (n=744), and Malaysia (n=947) completed a survey in 2012-2013 school year. A nested hierarchy of hypotheses concerning the IAT cross-country invariance was tested using multigroup confirmatory factor analyses. Replicating past findings in Hong Kong adolescents, the construct of the IAT is best represented by a second-order three-factor structure in Malaysian and Japanese adolescents. Configural, metric, scalar, and partial strict factorial invariance was established across the three samples. No cross-country differences on Internet addiction were detected at the latent mean level. This study provided empirical support for the IAT as a reliable and factorially stable instrument, and valid to be used across Asian adolescent populations.

Griffiths, M.D., Kuss, D.J., Billieux J. & Pontes, H.M. (2016). The evolution of internet addiction: A global perspective. Addictive Behaviors, 53, 193–195.

  • Kimberly Young’s initial work on Internet addiction (IA) was pioneering and her early writings on the topic in- spired many others to carry out research in the area. Young’s (2015) recent paper on the ‘evolution of Internet addiction’ featured very little European research, and did not consider the main international evidence that has contributed to our current knowledge about the conceptualization, epidemiology, etiology, and course of Internet-related disorders. This short commentary paper elaborates on important literature omitted by Young that the present authors believe may be of use to researchers. We also address statements made in Young’s (2015) commentary that are incorrect (and therefore misleading) and not systematically substantiated by empirical evidence.

Stavropoulos, V., Kuss, D.K., Griffiths, M.D. & Motti-Stafanidi, F. (2016). A longitudinal study of adolescent internet addiction: The role of conscientiousness and classroom hostility. Journal of Adolescent Research, in press.

  • Over the last decade, research on Internet addiction (IA) has increased. However, almost all studies in the area are cross-sectional and do not examine the context in which Internet use takes place. Therefore, a longitudinal study examined the role of conscientiousness (as a personality trait) and classroom hostility (as a contextual factor) in the development of IA. The participants comprised 648 adolescents and were assessed over a 2-year period (while aged 16-18 years). A three-level hierarchical linear model was carried out on the data collected. Findings revealed that (a) lower conscientiousness was associated with IA and this did not change over time and (b) although being in a more hostile classroom did not initially have a significant effect, it increased girls’ IA vulnerability over time and functioned protectively for boys. Results indicated that the contribution of individual and contextual IA factors may differ across genders and over time. More specifically, although the protective effect of conscientiousness appeared to hold, the over-time effect of classroom hostility increased the risk of IA for girls. These findings are discussed in relation to the psychological literature. The study’s limitations and implications are also discussed.

Ostovar, S., Allahyar, N., Aminpoor, H. Moafian, F., Nor, M. & Griffiths, M.D. (2016). Internet addiction and its psychosocial risks (depression, anxiety, stress and loneliness) among Iranian adolescents and young adults: A structural equation model in a cross-sectional study. International Journal of Mental Health and Addiction, in press.

  • Internet addiction has become an increasingly researched area in many Westernized countries. However, there has been little research in developing countries such as Iran, and when research has been conducted, it has typically utilized small samples. This study investigated the relationship of Internet addiction with stress, depression, anxiety, and loneliness in 1052 Iranian adolescents and young adults. The participants were randomly selected to complete a battery of psychometrically validated instruments including the Internet Addiction Test, Depression Anxiety Stress Scale, and the Loneliness Scale. Structural equation modeling and Pearson correlation coefficients were used to determine the relationship between Internet addiction and psychological impairments (depression, anxiety, stress and loneliness). Pearson correlation, path analysis, multivariate analysis of variance (MANOVA), and t-tests were used to analyze the data. Results showed that Internet addiction is a predictor of stress, depression, anxiety, and loneliness. Findings further indicated that addictive Internet use is gender sensitive and that the risk of Internet addiction is higher in males than in females. The results showed that male Internet addicts differed significantly from females in terms of depression, anxiety, stress, and loneliness. The implications of these results are discussed.

Dr. Mark Griffiths, Professor of Behavioural Addiction, International Gaming Research Unit, Nottingham Trent University, Nottingham, UK

Further reading

Billieux, J., Deleuze, J., Griffiths, M.D., & Kuss, D.J. (2015). Internet addiction: The case of massively multiplayer online role playing games. In N. El-Guebaly, M. Galanter, & G. Carra (Eds.), The Textbook of Addiction Treatment: International Perspectives (pp.1516-1525). New York: Springer.

Griffiths, M.D. (2010). Internet abuse and internet addiction in the workplace. Journal of Workplace Learning, 7, 463-472.

Griffiths, M.D. & Pontes, H.M. (2014). Internet addiction disorder and internet gaming disorder are not the same. Journal of Addiction Research and Therapy, 5: e124. doi:10.4172/2155-6105.1000e124.

King, D.L., Delfabbro, P.H., Griffiths, M.D. & Gradisar, M. (2011). Assessing clinical trials of Internet addiction treatment: A systematic review and CONSORT evaluation. Clinical Psychology Review, 31, 1110-1116.

King, D.L., Delfabbro, P.H., Griffiths, M.D. & Gradisar, M. (2012). Cognitive-behavioural approaches to outpatient treatment of Internet addiction in children and adolescents. Journal of Clinical Psychology, 68, 1185-1195.

Kuss, D.J. & Griffiths, M.D. (2015). Internet Addiction in Psychotherapy. Basingstoke: Palgrave Macmillan.

Kuss, D.J., Griffiths, M.D. & Binder, J. (2013). Internet addiction in students: Prevalence and risk factors. Computers in Human Behavior, 29, 959-966.

Kuss, D.J., Griffiths, M.D., Karila, L. & Billieux, J. (2014). Internet addiction: A systematic review of epidemiological research for the last decade. Current Pharmaceutical Design, 20, 4026-4052.

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, 351-366.

Kuss, D.J., van Rooij, A.J., Shorter, G.W., Griffiths, M.D. & van de Mheen, D. (2013). Internet addiction in adolescents: Prevalence and risk factors. Computers in Human Behavior, 29, 1987-1996.

Widyanto, L. & Griffiths, M.D. (2006). Internet addiction: Does it really exist? (Revisited). In J. Gackenbach (Ed.), Psychology and the Internet: Intrapersonal, Interpersonal and Transpersonal Applications (2nd Edition), (pp.141-163). New York: Academic Press.

Widyanto, L. & Griffiths, M.D. (2011). Unravelling the Web: Adolescents and Internet Addiction. In Virtual Communities: Concepts, Methodologies, Tools and Applications (pp. 2433-2453). Hershey, Pennsylvania: Idea Publishing.

Tech’s appeal: Another look at Internet addiction

Generally speaking, Internet addiction (IA) has been characterized by excessive or poorly controlled preoccupation, urges, and/or behaviours regarding Internet use that lead to impairment or distress in several life domains. However, according to Dr. Kimberly Young, IA is a problematic behaviour akin to pathological gambling that can be operationally defined as an impulse-control disorder not involving the ingestion of psychoactive intoxicants.

Following the conceptual framework developed by Young and her colleagues to understand IA, five specific types of distinct online addictive behaviours were identified: (i) ‘cyber-sexual addiction’, (ii) ‘cyber-relationship addiction’, (iii) ‘net compulsions (i.e., obsessive online gambling, shopping, or trading), (iv) ‘information overload’, and (v) ‘computer addiction’ (i.e., obsessive computer game playing).

However, I have argued in many of my papers over the last 15 years that the Internet may simply be the means or ‘place’ where the most commonly reported addictive behaviours occur. In short, the Internet may be just a medium to fuel other addictions. Interestingly, new evidence pointing towards the need to make this distinction has been provided from the online gaming field where new studies (including some I have carried out with my Hungarian colleagues) have demonstrated that IA is not the same as other more specific addictive behaviours carried out online (i.e., gaming addiction), further magnifying the meaningfulness to differentiate between what may be called ‘generalized’ and ‘specific’ forms of online addictive behaviours, and also between IA and gaming addiction as these behaviours are conceptually different.

Additionally, the lack of formal diagnostic criteria to assess IA holds another methodological problem since researchers are systematically adopting modified criteria from other addictions to investigate IA. Although IA may share some commonalities with other substance-based addictions, it is unclear to what extent such criteria are useful and suitable to evaluate IA. Notwithstanding the existing difficulties in understanding and comparing IA with behaviours such as pathological gambling, recent research provided useful insights on this topic.

A recent study by Dr. Federico Tonioni (published in a 2014 issue of the journal Addictive Behaviors) involving two clinical (i.e., 31 IA patients and 11 pathological gamblers) and a control group (i.e., 38 healthy individuals) investigated whether IA patients presented different psychological symptoms, temperamental traits, coping strategies, and relational patterns in comparison to pathological gamblers, concluded that Internet-addicts presented higher mental and behavioural disengagement associated with significant more interpersonal impairment. Moreover, temperamental patterns, coping strategies, and social impairments appeared to be different across both disorders. Nonetheless, the similarities between IA and pathological gambling were essentially in terms of psychopathological symptoms such as depression, anxiety, and global functioning. Although, individuals with IA and pathological gambling appear to share similar psychological profiles, previous research has found little overlap between these two populations, therefore, both phenomena are separate disorders.

Despite the fact that initial conceptualizations of IA helped advance the current knowledge and understanding of IA in different aspects and contexts, it has become evident that the field has greatly evolved since then in several ways. As a result of these ongoing changes, behavioural addictions (more specifically Gambling Disorder and Internet Gaming Disorder) have now recently received official recognition in the latest (fifth) edition of the Diagnostic and Statistical Manual of Mental Disorders (DSM-5). Moreover, IA can also be characterized as a form of technological addiction, which I have operationally defined as a non-chemical (behavioural) addiction involving excessive human-machine interaction. In this theoretical framework, technological addictions such as IA represent a subset of behavioural addictions featuring six core components: (i) salience, (ii) mood modification, (iii) tolerance, (iv) withdrawal, (v) conflict, and (vi) relapse. The components model of addiction appears to be a more updated framework for understanding IA as a behavioural addiction not only conceptually but also empirically. Moreover, this theoretical framework has recently received empirical support from several studies, further evidencing its suitability and applicability to the understanding of IA.

For many in the IA field, problematic Internet use is considered to be a serious issue – albeit not yet officially recognised as a disorder – and has been described across the literature as being associated with a wide range of co-occurring psychiatric comorbidities alongside an array of dysfunctional behavioural patterns. For instance, IA has been recently associated with low life satisfaction, low academic performance, less motivation to study, poorer physical health, social anxiety, attention deficit/hyperactivity disorder and depression, poorer emotional wellbeing and substance use, higher impulsivity, cognitive distortion, deficient self-regulation, poorer family environment, higher mental distress, loneliness, among other negative psychological, biological, and neuronal aspects.

In a recent systematic literature review conducted by Dr. Wen Li and colleagues (and published in the journal Computers and Human Behavior), the authors reviewed a total of 42 empirical studies that assessed the family correlates of IA in adolescents and young adults. According to the authors, virtually all studies reported greater family dysfunction amongst IA families in comparison to non-IA families. More specifically, individuals with IA exhibited more often (i) greater global dissatisfaction with their families, (ii) less organized, cohesive, and adaptable families, (iii) greater inter-parental and parent-child conflict, and (iv) perceptions of their parents as more punitive, less supportive, warm, and involved. Furthermore, families were significantly more likely to have divorced parents or to be a single parent family.

Another recent systematic literature review conducted by Dr. Lawrence Lam published in the journal Current Psychiatry Reports examined the possible links between IA and sleep problems. After reviewing seven studies (that met strict inclusion criteria), it was concluded that on the whole, IA was associated with sleep problems that encompassed subjective insomnia, short sleep duration, and poor sleep quality. The findings also suggested that participants with insomnia were 1.5 times more likely to be addicted to the Internet in comparison to those without sleep problems. Despite the strong evidence found supporting the links between IA and sleep problems, the author noted that due to the cross-sectional nature of most studies reviewed, the generalizability of the findings was somewhat limited.

IA is a relatively recent phenomenon that clearly warrants further investigation, and empirical studies suggest it needs to be taken seriously by psychologists, psychiatrists, and neuroscientists. Although uncertainties still remain regarding its diagnostic and clinical characterization, it is likely that these extant difficulties will eventually be tackled and the field will evolve to a point where IA may merit full recognition as a behavioural addiction from official medical bodies (ie, American Psychiatric Association) similar to other more established behavioural addictions such as ‘Gambling Disorder’ and ‘Internet Gaming Disorder’. However, in order to achieve official status, researchers will have to adopt a more commonly agreed upon definition as to what IA is, and how it can be conceptualized and operationalized both qualitatively and quantitatively (as well as in clinically diagnostic terms).

Dr. Mark Griffiths, Professor of Gambling Studies, International Gaming Research Unit, Nottingham Trent University, Nottingham, UK

Please note: This article was co-written with Halley Pontes and Daria Kuss.

Further reading

Griffiths, M.D. (2000). Internet addiction – Time to be taken seriously? Addiction Research, 8, 413-418.

Griffiths, M.D. (2010). Internet abuse and internet addiction in the workplace. Journal of Workplace Learning, 7, 463-472.

Griffiths, M.D., Kuss, D.J., Billieux J. & Pontes, H.M. (2016). The evolution of internet addiction: A global perspective. Addictive Behaviors, 53, 193–195.

Griffiths, M.D. & Pontes, H.M. (2014). Internet addiction disorder and internet gaming disorder are not the same. Journal of Addiction Research and Therapy, 5: e124. doi:10.4172/2155-6105.1000e124.

Király, O., Griffiths, M.D., Urbán, R., Farkas, J., Kökönyei, G. Elekes, Z., Domokos 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, 749-754.

Kuss, D.J. & Griffiths, M.D. (2015). Internet Addiction in Psychotherapy. Basingstoke: Palgrave Macmillan.

Kuss, D.J., Griffiths, M.D. & Binder, J. (2013). Internet addiction in students: Prevalence and risk factors. Computers in Human Behavior, 29, 959-966.

Kuss, D.J., Griffiths, M.D., Karila, L. & Billieux, J. (2014). Internet addiction: A systematic review of epidemiological research for the last decade. Current Pharmaceutical Design, 20, 4026-4052.

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, 351-366.

Kuss, D.J., van Rooij, A.J., Shorter, G.W., Griffiths, M.D. & van de Mheen, D. (2013). Internet addiction in adolescents: Prevalence and risk factors. Computers in Human Behavior, 29, 1987-1996.

Lam, L.T. (2014). Internet Gaming Addiction, Problematic use of the Internet, and sleep problems: A systematic review. Current Psychiatry Reports, 16(4), 1-9.

Li, W., Garland, E.L., & Howard, M.O. (2014). Family factors in Internet addiction among Chinese youth: A review of English-and Chinese-language studies. Computers in Human. Behavior, 31, 393-411.

Pontes, H. & Griffiths, M.D. (2015). Measuring DSM-5 Internet Gaming Disorder: Development and validation of a short psychometric scale. Computers in Human Behavior, 45, 137-143.

Pontes, H.M., Kuss, D.J. & Griffiths, M.D. (2015). The clinical psychology of Internet addiction: A review of its conceptualization, prevalence, neuronal processes, and implications for treatment. Neuroscience and Neuroeconomics, 4, 11-23.

Pontes, H.M., Szabo, A. & Griffiths, M.D. (2015). The impact of Internet-based specific activities on the perceptions of Internet Addiction, Quality of Life, and excessive usage: A cross-sectional study. Addictive Behaviors Reports, 1, 19-25.

Tonioni, F., Mazza, M., Autullo, G., Cappelluti, R., Catalano, V., Marano, G., … & Lai, C. (2014). Is Internet addiction a psychopathological condition distinct from pathological gambling?. Addictive Behaviors, 39(6), 1052-1056.

Widyanto, L. & Griffiths, M.D. (2006). Internet addiction: A critical review. International Journal of Mental Health and Addiction, 4, 31-51.

Young, K. (1998). Caught in the net. New York: John Wiley

Young K. (1999). Internet addiction: Evaluation and treatment. Student British Medical Journal, 7, 351-352.

Net losses: Another look at problematic online gaming

I have examined problematic and/or addictive video gaming in a number of my previous blogs. Despite the increasing amount of empirical research into problematic online gaming, the phenomenon still sadly lacks a consensual definition. Some researchers (including myself, and others such as John Charlton and Ian Danforth) consider video games as the starting point for examining the characteristics of this specific pathology, while other researchers consider the internet as the main platform that unites different addictive internet activities including online games (such as my friends and colleagues Tony Van Rooij and Kimberley Young). There are also recent studies that have made an effort to integrate both approaches (such as some work I carried out with Zsolt Demetrovics and his team of Hungarian researchers in the journal PLoS ONE).

I have noted in a number of my papers on addiction (particularly in a paper I had published in a 2005 issue of the Journal of Substance Use) that although each addiction has several particular and idiosyncratic characteristics, they have more commonalities than differences that may reflect a common etiology of addictive behaviour. Using the ‘components’ model of addiction, within a biopsychosocial framework, I consider online game addiction a specific type of video game addiction that can be categorized as a nonfinancial type of pathological gambling. I developed the components of video game addiction theory by modifying Iain Brown’s earlier addiction criteria. These are:

(1) Salience: This is when video gaming becomes the most important activity in the person’s life and dominates his/her thinking (i.e., preoccupations and cognitive distortions), feelings (i.e., cravings) and behaviour (i.e., deterioration of socialized behaviour);

(2) Mood modification: This is the subjective experience that people report as a consequence of engaging in video game play (i.e. they experience an arousing ‘buzz’ or a ‘high’ or, paradoxically, a tranquillizing and/or distressing feel of ‘escape’ or ‘numbing’).

(3) Tolerance: This is the process whereby increasing amounts of video game play are required to achieve the former effects, meaning that for persons engaged in video game playing, they gradually build up the amount of the time they spend online engaged in the behaviour.

(4) Withdrawal symptoms: These are the unpleasant feeling states or physical effects that occur when video gaming is discontinued or suddenly reduced, for example, the shakes, moodiness, irritability, etc.

(5) Conflict: This refers to the conflicts between the video game player and those around them (i.e., interpersonal conflict), conflicts with other activities (e.g., job, schoolwork, social life, hobbies and interests) or from within the individual themselves (i.e., intrapsychic conflict and/or subjective feelings of loss of control) which are concerned with spending too much time engaged in video game play.

(6) Relapse: This is the tendency for repeated reversions to earlier patterns of video game play to recur and for even the most extreme patterns typical at the height of excessive video game play to be quickly restored after periods of abstinence or control.

John Charlton and Ian Danforth analyzed these six criteria and found that tolerance, mood modification and cognitive salience were indicators of high engagement, while the other components – withdrawal symptoms, conflict, relapse and behavioural salience – played a central role in the development of addiction.

Researchers such as Guy Porter and Vladan Starcevic don’t differentiate between problematic video game use and problematic online game use. They conceptualized problematic video game use as excessive use of one or more video games resulting in a preoccupation with and a loss of control over playing video games, and various negative psychosocial and/or physical consequences. Their criteria for problematic video game use didn’t include other features usually associated with dependence or addiction, such as tolerance and physical symptoms of withdrawal, because in their opinion there is no clear evidence that problem video game use is associated with these phenomena.

Arguably the most well known representative of the internet-based approach is Kimberley Young who developed her theoretical framework for problematic online gaming based on her internet addiction criteria which were based on the American Psychiatric Association’s Diagnostic and Statistical Manual of Mental Disorders – (Fourth Edition, DSM-IV) criteria for pathological gambling. Her theory states that online game addicts gradually lose control over their game play, that is, they are unable to decrease the amount of time spent playing while immersing themselves increasingly in this particular recreational activity, and eventually develop problems in their real life. The idea that internet/online video game addiction can be assessed by the combination of an internet addiction score and the amount of time spent gaming are also reflective of the internet-based approach.

Integrative approaches try to take into consideration both aforementioned approaches. For instance, a 2010 paper by M.G. Kim and J. Kim in Computers in Human Behavior claimed that neither the first nor the second approach can adequately capture the unique features of online games such as Massively Multiplayer Online Role-Playing Games (MMORPGs), therefore it’s absolutely necessary to create an integrated approach. They argued that “internet users are no more addicted to the internet than alcoholics are addicted to bottles” which means that the internet is just one channel through which people may access whatever content they want (e.g., gambling, shopping, chatting, sex, etc.) and therefore users of the internet may be addicted to the particular content or services that the Internet provides, rather than the channel itself. On the other hand, online games differ from traditional stand-alone games, such as offline video games, in important aspects such as the social dimension or the role-playing dimension that allow interaction with other real players.

Their multidimensional Problematic Online Game Use (POGU) model reflects this integrated approach fairly well. It was theoretically developed on the basis of several studies and theories (such as those by Iain Brown, John Charlton, Ian Danforth, Kimberley Young and myself), and resulted in five underlying dimensions: euphoria, health problems, conflict, failure of self-control, and preference of virtual relationship. A 2012 study I carried out with Zsolt Demetrovics and his team also support the integrative approach and stresses the need to include all types of online games in addiction models in order to make comparisons between genres and gamer populations possible (such as those who play online Real-Time Strategy (RTS) games and online First Person Shooter (FPS) games in addition to the widely researched MMORPG players). According to this model, six dimensions cover the phenomenon of problematic online gaming – preoccupation, overuse, immersion, social isolation, interpersonal conflicts, and withdrawal. Personally, I believe that online game addiction can be defined as one type of behavioural addiction. In fact ‘internet gaming disorder’ has just been included in the appendices of the new DSM-5 in order to encourage research to determine whether this particular condition should be added to the manual as a disorder in the future.

Dr Mark Griffiths, Professor of Gambling Studies, International Gaming Research Unit, Nottingham Trent University, Nottingham, UK

Additional input: Orsolya Pápay, Katalin Nagygyörgy and Zsolt Demetrovics

Further reading

Charlton, J. P., & Danforth, I.D.W. (2007). Distinguishing addiction and high engagement in the context of online game playing. Computers in Human Behavior, 23(3), 1531-1548.

Demetrovics, Z., Urbán, R., Nagygyörgy, K., Farkas, J., Griffiths, M.D., Pápay, O. & Oláh, A. (2012). The development of the Problematic Online Gaming Questionnaire (POGQ). PLoS ONE, 7(5): e36417. doi:10.1371/journal.pone.0036417.

Griffiths, M.D. (2005). A ‘components’ model of addiction within a biopsychosocial framework. Journal of Substance Use, 10, 191-197.

Han, D. H., Hwang, J. W., & Renshaw, P. F. (2010). Bupropion sustained release treatment decreases craving for video games and cue-induced brain activity in patients with Internet video game addiction. Experimental and Clinical Psychopharmacology, 18, 297-304.

Kim, M.G., & Kim, J. (2010). Cross-validation of reliability, convergent and discriminant validity for the problematic online game use scale. Computers in Human Behavior, 26(3), 389-398.

King, D.L., Haagsma, M.C., Delfabbro, P.H., Gradisar, M.S., Griffiths, M.D. (2013). Toward a consensus definition of pathological video-gaming: A systematic review of psychometric assessment tools. Clinical Psychology Review, 33, 331-342.

Peters, C. S., & Malesky, L. A. (2008). Problematic usage among highly-engaged players of massively multiplayer online role playing games. Cyberpsychology & Behavior, 11(4), 480-483.

Pontes, H. & Griffiths, M.D. (2014). The assessment of internet gaming disorder in clinical research. Clinical Research and Regulatory Affairs, 31(2-4), 35-48.

Pontes, H., 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.

Pontes, H. & Griffiths, M.D. (2015). Measuring DSM-5 Internet Gaming Disorder: Development and validation of a short psychometric scale. Computers in Human Behavior, 45, 137-143.

Porter, G., Starcevic, V., Berle, D., & Fenech, P. (2010). Recognizing problem video game use. The Australian and New Zealand Journal of Psychiatry, 44, 120-128.

Van Rooij, A. J., Schoenmakers, T. M., Vermulst, A. A., Van den Eijnden, R. J., & Van de Mheen, D. (2011). Online video game addiction: identification of addicted adolescent gamers. Addiction, 106(1), 205-212.

Young, K. S. (1998a). Caught in the Net: How to recognize the signs of Internet addiction and a winning strategy for recovery. New York: Wiley.

Young, K. S. (1999). Internet addiction: Symptoms, evaluation, and treatment. In L. Vande Creek & T. Jackson (Eds.), Innovations in clinical practice: A source book (pp. 17, 19–31). Sarasota, FL: Professional Resource Press.

In dependence days: A brief overview of behavioural addictions

Please note: A version of this blog first appeared on addiction.com

Conceptualizing addiction has been a matter of great debate for decades. For many people the concept of addiction involves the taking of drugs. Therefore it is perhaps unsurprising that most official definitions concentrate on drug ingestion. Despite such definitions, there is now a growing movement that views a number of behaviours as potentially addictive including those that do not involve the ingestion of a drug. These include behaviours diverse as gambling, eating, sex, exercise, videogame playing, love, shopping, Internet use, social networking, and work. I have argued in many of my papers that all addictions – irrespective of whether they are chemical or behavioural – comprise six components (i.e., salience, mood modification, tolerance, withdrawal, conflict and relapse). More specifically:

  • Salience – This occurs when the activity becomes the single most important activity in the person’s life and dominates their thinking (preoccupations and cognitive distortions), feelings (cravings) and behaviour (deterioration of socialized behaviour). For instance, even if the person is not actually engaged in the activity they will be constantly thinking about the next time that they will be (i.e., a total preoccupation with the activity).
  • Mood modification – This refers to the subjective experiences that people report as a consequence of engaging in the activity and can be seen as a coping strategy (i.e., they experience an arousing ‘buzz’ or a ‘high’ or paradoxically a tranquilizing feel of ‘escape’ or ‘numbing’).
  • Tolerance – This is the process whereby increasing amounts of the activity are required to achieve the former mood modifying effects. This basically means that for someone engaged in the activity, they gradually build up the amount of the time they spend engaging in the activity every day.
  • Withdrawal symptoms – These are the unpleasant feeling states and/or physical effects (e.g., the shakes, moodiness, irritability, etc.) that occur when the person is unable to engage in the activity.
  • Conflict – This refers to the conflicts between the person and those around them (interpersonal conflict), conflicts with other activities (e.g., work, social life, hobbies and interests) or from within the individual (e.g., intra-psychic conflict and/or subjective feelings of loss of control) that are concerned with spending too much time engaging in the activity.
  • Relapse – This is the tendency for repeated reversions to earlier patterns of excessive engagement in the activity to recur, and for even the most extreme patterns typical of the height of excessive engagement in the activity to be quickly restored after periods of control.

In May 2013, the new criteria for problem gambling (now called ‘Gambling Disorder’) were published in the fifth edition of the Diagnostic and Statistical Manual for Mental Disorders (DSM-5), and for the very first time, problem gambling was included in the section ‘Substance-related and Addiction Disorders’ (rather than in the section on impulse control disorders as had been the case since 1980 when it was first included in the DSM-III). Although most of us in the field had been conceptualizing extreme problem gambling as an addiction for many years, this was arguably the first time that an established medical body had described it as such.

There had also been debates about whether or not ‘Internet Addiction Disorder’ should have been included in the DSM-5. As a result of these debates, the Substance Use Disorder Work Group recommended that the DSM-5 include ‘Internet Gaming Disorder’ [IGD] in Section III (“Emerging Measures and Models”) as an area that required further research before possible inclusion in future editions of the DSM. To be included in its own right in the next edition, research will have to establish the defining features of IGD, obtain cross-cultural data on reliability and validity of specific diagnostic criteria, determine prevalence rates in representative epidemiological samples in countries around the world, and examine its associated biological features. Other than gambling and gaming, no other behaviour (e.g., sex, work, exercise, etc.) has yet to be classified as a genuine addiction by established medical and/or psychiatric organizations.

In one of the most comprehensive reviews of chemical and behavioural addictions, Dr. Steve Sussman, Nadra Lisha and myself examined all the prevalence literature relating to 11 different potentially addictive behaviours. We reported overall prevalence rates of addictions to cigarette smoking (15%), drinking alcohol (10%), illicit drug taking (5%), eating (2%), gambling (2%), internet use (2%), love (3%), sex (3%), exercise (3%), work (10%), and shopping (6%). However, most of the prevalence data relating to behavioural addictions (with the exception of gambling) did not have prevalence data from nationally representative samples and therefore relied on small and/or self-selected samples.

Addiction is an incredibly complex behaviour and always result from an interaction and interplay between many factors including the person’s biological and/or genetic predisposition, their psychological constitution (personality factors, unconscious motivations, attitudes, expectations, beliefs, etc.), their social environment (i.e. situational characteristics such as accessibility and availability of the activity, the advertising of the activity) and the nature of the activity itself (i.e. structural characteristics such as the size of the stake or jackpot in gambling). This ‘global’ view of addiction highlights the interconnected processes and integration between individual differences (i.e. personal vulnerability factors), situational characteristics, structural characteristics, and the resulting addictive behaviour.

There are many individual (personal vulnerability) factors that may be involved in the acquisition, development and maintenance of behavioural addictions (e.g. personality traits, biological and genetic predispositions, unconscious motivations, learning and conditioning effects, thoughts, beliefs, and attitudes), although some factors are more personal (e.g. financial motivation and economic pressures in the case of gambling addiction). However, there are also some key risk factors that are highly associated with developing almost any (chemical or behavioural) addiction such as having a family history of addiction, having co-morbid psychological problems, and having a lack of family involvement and supervision. Psychosocial factors such as low self-esteem, loneliness, depression, high anxiety, and stress all appear to be common among those with behavioural addictions.

This article briefly demonstrates that behavioural addictions are a part of a biopsychosocial process and not just restricted to drug-ingested (chemical) behaviours. Evidence is growing that excessive behaviours of all types do seem to have many commonalities and this may reflect a common etiology of addictive behaviour. Such commonalities may have implications not only for treatment of such behaviours but also for how the general public perceive such behaviours.

Dr. Mark Griffiths, Professor of Gambling Studies, International Gaming Research Unit, Nottingham Trent University, Nottingham, UK

Further reading

Berczik, K., Griffiths, M.D., Szabó, A., Kurimay, T., Urban, R. & Demetrovics, Z. (2014). Exercise addiction. In K. Rosenberg & L. Feder (Eds.), Behavioral Addictions: Criteria, Evidence and Treatment (pp.317-342). New York: Elsevier.

Demetrovics, Z. & Griffiths, M.D. (2012). Behavioral addictions: Past, present and future. Journal of Behavioral Addictions, 1, 1-2.

Griffiths, M.D. (1996). Behavioural addictions: An issue for everybody? Journal of Workplace Learning, 8(3), 19-25.

Griffiths, M.D. (2009). Gambling addictions. In A. Browne-Miller (Ed.), The Praeger International Collection on Addictions: Behavioral Addictions from Concept to Compulsion (pp. 235-257). Westport, CT: Praeger.

Griffiths, M.D. (2010). Addicted to sex? Psychology Review, 16(1), 27-29

Griffiths, M.D. (2011). Behavioural addiction: The case for a biopsychosocial approach. Transgressive Culture, 1(1), 7-28.

Griffiths, M.D. (2011). Workaholism: A 21st century addiction. The Psychologist: Bulletin of the British Psychological Society, 24, 740-744.

Griffiths, M.D., Kuss, D.J. & Demetrovics, Z. (2014). Social networking addiction: An overview of preliminary findings. In K. Rosenberg & L. Feder (Eds.), Behavioral Addictions: Criteria, Evidence and Treatment (pp.119-141). New York: Elsevier.

Griffiths, M.D. (2005). A ‘components’ model of addiction within a biopsychosocial framework. Journal of Substance Use, 10, 191-197.

Király, O., Nagygyörgy, K., Griffiths, M.D. & Demetrovics, Z. (2014). Problematic online gaming. In K. Rosenberg & L. Feder (Eds.), Behavioral Addictions: Criteria, Evidence and Treatment (pp.61-95). New York: Elsevier.

Kuss, D.J., Griffiths, M.D., Karila, L. & Billieux, J. (2014).  Internet addiction: A systematic review of epidemiological research for the last decade. Current Pharmaceutical Design, 20, 4026-4052.

Sussman, S., Lisha, N. & Griffiths, M.D. (2011). Prevalence of the addictions: A problem of the majority or the minority? Evaluation and the Health Professions, 34, 3-56.

Joystick junkies: A brief overview of online gaming addiction

Over the last 15 years, research into various online addictions have greatly increased. Prior to the 2013 publication of the American Psychiatric Association’s fifth edition of the Diagnostic and Statistical Manual of Mental Disorders (DSM-5), there had been some debate as to whether ‘internet addiction’ should be introduced into the text as a separate disorder. Alongside this, there has also been debate as to whether those researching in the online addiction field should be researching generalized internet use and/or the potentially addictive activities that can be engaged on the internet (e.g., gambling, video gaming, sex, shopping, etc.).

It should also be noted that given the lack of consensus as to whether video game addiction exists and/or whether the term ‘addiction’ is the most appropriate to use, some researchers have instead used terminology such as ‘excessive’ or ‘problematic’ to denote the harmful use of video games. Terminology for what appears to be for the same disorder and/or its consequences include problem video game playing, problematic online game use, video game addiction, online gaming addiction, internet gaming addiction, and compulsive Internet use.

Following these debates, the Substance Use Disorder Work Group (SUDWG) recommended that the DSM-5 include a sub-type of problematic internet use (i.e., internet gaming disorder [IGD]) in Section 3 (‘Emerging Measures and Models’) as an area that needed future research before being included in future editions of the DSM. According to Dr. Nancy Petry and Dr. Charles O’Brien, IGD will not be included as a separate mental disorder until the (i) defining features of IGD have been identified, (ii) reliability and validity of specific IGD criteria have been obtained cross-culturally, (iii) prevalence rates have been determined in representative epidemiological samples across the world, and (iv) etiology and associated biological features have been evaluated.

Although there is now a rapidly growing literature on pathological video gaming, one of the key reasons that IGD was not included in the main text of the DSM-5 was that the SUDWG concluded that no standard diagnostic criteria were used to assess gaming addiction across these many studies. In 2013, some of my colleagues and I published a paper in Clinical Psychology Review examining all instruments assessing problematic, pathological and/or addictive gaming. We reported that 18 different screening instruments had been developed, and that these had been used in 63 quantitative studies comprising 58,415 participants. The prevalence rates for problematic gaming were highly variable depending on age (e.g., children, adolescents, young adults, older adults) and sample (e.g., college students, internet users, gamers, etc.). Most studies’ prevalence rates of problematic gaming ranged between 1% and 10% but higher figures have been reported (particularly amongst self-selected samples of video gamers). In our review, we also identified both strengths and weaknesses of these instruments.

The main strengths of the instrumentation included the: (i) the brevity and ease of scoring, (ii) excellent psychometric properties such as convergent validity and internal consistency, and (iii) robust data that will aid the development of standardized norms for adolescent populations. However, the main weaknesses identified in the instrumentation included: (i) core addiction indicators being inconsistent across studies, (iii) a general lack of any temporal dimension, (iii) inconsistent cut-off scores relating to clinical status, (iv) poor and/or inadequate inter-rater reliability and predictive validity, and (v) inconsistent and/or dimensionality.

It has also been noted by many researchers (including me) that the criteria for IGD assessment tools are theoretically based on a variety of different potentially problematic activities including substance use disorders, pathological gambling, and/or other behavioural addiction criteria. There are also issues surrounding the settings in which diagnostic screens are used as those used in clinical practice settings may require a different emphasis that those used in epidemiological, experimental, and neurobiological research settings.

Video gaming that is problematic, pathological and/or addictive lacks a widely accepted definition. Some researchers in the field consider video games as the starting point for examining the characteristics of this specific disorder, while others consider the internet as the main platform that unites different addictive internet activities, including online games. My colleagues and I have begun to make an effort to integrate both approaches, i.e., classifying online gaming addiction as a sub-type of video game addiction but acknowledging that some situational and structural characteristics of the internet may facilitate addictive tendencies (e.g., accessibility, anonymity, affordability, disinhibition, etc.).

Throughout my career I have argued that although all addictions have particular and idiosyncratic characteristics, they share more commonalities than differences (i.e., salience, mood modification, tolerance, withdrawal symptoms, conflict, and relapse), and likely reflects a common etiology of addictive behaviour. When I started research internet addiction in the mid-1990s, I came to the view that there is a fundamental difference between addiction to the internet, and addictions on the internet. However many online games (such as Massively Multiplayer Online Role Playing Games) differ from traditional stand-alone video games as there are social and/or role-playing dimension that allow interaction with other gamers.

Irrespective of approach or model, the components and dimensions that comprise online gaming addiction outlined above are very similar to the IGD criteria in Section 3 of the DSM-5. For instance, my six addiction components directly map onto the nine proposed criteria for IGD (of which five or more need to be endorsed and resulting in clinically significant impairment). More specifically: (1) preoccupation with internet games [salience]; (2) withdrawal symptoms when internet gaming is taken away [withdrawal]; (3) the need to spend increasing amounts of time engaged in internet gaming [tolerance], (4) unsuccessful attempts to control participation in internet gaming [relapse/loss of control]; (5) loss of interest in hobbies and entertainment as a result of, and with the exception of, internet gaming [conflict]; (6) continued excessive use of internet games despite knowledge of psychosocial problems [conflict]; (7) deception of family members, therapists, or others regarding the amount of internet gaming [conflict]; (8) use of the internet gaming to escape or relieve a negative mood [mood modification];  and (9) loss of a significant relationship, job, or educational or career opportunity because of participation in internet games [conflict].

The fact that IGD was included in Section 3 of the DSM-5 appears to have been well received by researchers and clinicians in the gaming addiction field (and by those individuals that have sought treatment for such disorders and had their experiences psychiatrically validated and feel less stigmatized). However, for IGD to be included in the section on ‘Substance-Related and Addictive Disorders’ along with ‘Gambling Disorder’, the gaming addiction field must unite and start using the same assessment measures so that comparisons can be made across different demographic groups and different cultures.

For epidemiological purposes, my research colleagues and I have asserted that the most appropriate measures in assessing problematic online use (including internet gaming) should meet six requirements. Such an instrument should have: (i) brevity (to make surveys as short as possible and help overcome question fatigue); (ii) comprehensiveness (to examine all core aspects of problematic gaming as possible); (iii) reliability and validity across age groups (e.g., adolescents vs. adults); (iv) reliability and validity across data collection methods (e.g., online, face-to-face interview, paper-and-pencil); (v) cross-cultural reliability and validity; and (vi) clinical validation. We aso reached the conclusion that an ideal assessment instrument should serve as the basis for defining adequate cut-off scores in terms of both specificity and sensitivity.

The good news is that research in the gaming addiction field does appear to be reaching an emerging consensus. There have also been over 20 studies using neuroimaging techniques (such as functional magnetic resonance imaging) indicating that generalized internet addiction and online gaming addiction share neurobiological similarities with more traditional addictions. However, it is critical that a unified approach to assessment of IGD is urgently needed as this is the only way that there will be a strong empirical and scientific basis for IGD to be included in the next DSM.

Note: A version of this article was first published on Rehabs.com

Dr. Mark Griffiths, Professor of Gambling Studies, International Gaming Research Unit, Nottingham Trent University, Nottingham, UK

Further reading

American Psychiatric Association (2013) Diagnostic and Statistical Manual of Mental Disorders – Text Revision (Fifth Edition). Washington, D.C.: Author.

Demetrovics, Z., Urbán, R., Nagygyörgy, K., Farkas, J., Griffiths, M. D., Pápay, O., . . . Oláh, A. (2012). The development of the Problematic Online Gaming Questionnaire (POGQ). PLoS ONE, 7(5), e36417.

Griffiths, M.D. (2000). Internet addiction – Time to be taken seriously? Addiction Research, 8, 413-418.

Griffiths, M. D. (2005). A ‘components’ model of addiction within a biopsychosocial framework. Journal of Substance Use, 10(4), 191-197.

Griffiths, M.D., King, D.L. & Demetrovics, Z. (2014). DSM-5 Internet Gaming Disorder needs a unified approach to assessment. Neuropsychiatry, under review.

Griffiths, M.D., Kuss, D.J. & King, D.L. (2012). Video game addiction: Past, present and future. Current Psychiatry Reviews, 8, 308-318.

Kim, M. G., & Kim, J. (2010). Cross-validation of reliability, convergent and discriminant validity for the problematic online game use scale. Computers in Human Behavior, 26(3), 389-398.

King, D. L., Delfabbro, P. H., Griffiths, M. D., & Gradisar, M. (2011). Assessing clinical trials of Internet addiction treatment: A systematic review and CONSORT evaluation. Clinical Psychology Review, 31, 1110-1116.

King, D. L., Delfabbro, P. H., & Griffiths, M. D. (2012). Cognitive-behavioral approaches to outpatient treatment of Internet addiction in children and adolescents. Journal of Clinical Psychology, 68, 1185-1195.

King, D.L., Haagsma, M.C., Delfabbro, P.H., Gradisar, M.S., Griffiths, M.D. (2013). Toward a consensus definition of pathological video-gaming: A systematic review of psychometric assessment tools. Clinical Psychology Review, 33, 331-342.

Koronczai, B., Urban, R., Kokonyei, G., Paksi, B., Papp, K., Kun, B., . . . Demetrovics, Z. (2011). Confirmation of the three-factor model of problematic internet use on off-line adolescent and adult samples. Cyberpsychology, Behavior and Social Networking, 14, 657–664.

Kuss, D.J. & Griffiths, M.D. (2012). Internet and gaming addiction: A systematic literature review of neuroimaging studies. Brain Sciences, 2, 347-374.

Kuss, D.J., Griffiths, M.D., Karila, L. & Billieux, J. (2013).  Internet addiction: A systematic review of epidemiological research for the last decade. Current Pharmaceutical Design, in press.

Pápay, O., Nagygyörgy, K., Griffiths, M.D. & Demetrovics, Z. (2014). Problematic online gaming. In K. Rosenberg & L. Feder (Eds.), Behavioral Addictions: Criteria, Evidence and Treatment. New York: Elsevier.

Petry, N.M., & O’Brien, C.P. (2013). Internet gaming disorder and the DSM-5. Addiction, 108, 1186–1187.

Porter, G., Starcevic, V., Berle, D., & Fenech, P. (2010). Recognizing problem video game use. The Australian and New Zealand Journal of Psychiatry, 44, 120-128.

Young, K. S. (1998). Internet addiction: The emergence of a new clinical disorder. Cyberpsychology and Behavior, 1, 237-244.

Press to play: Is gaming as addictive as heroin?

Please note: The following blog was first published earlier today on the GamaSutra website. The original article can be found here.

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Last week I appeared in loads of news stories following a double page spread in The Sun newspaper under the headline “Gaming as addictive as heroin”. Before the story went to press, I was asked by The Sun’s gaming editor – Lee Price – if I would provide a set of questions to help readers determine if they had a possible gaming addiction. (I’ve reproduced the ten questions at the end of this blog). I’ve written a number of articles for The Sun over the years and have always been happy to contribute to education concerning gaming issues. In fact, my previous article with The Sun was one published last year under the headline Video games make us better people”. The gaming editor shared some of the text he was planning to publish and I was asked if I would like to add anything to his main article. The text I submitted for inclusion in the article read:

“Gaming addiction has become a real issue for the psychologists and medics over the last decade. The good news is that playing excessively doesn’t necessarily mean someone is addicted – the difference between a healthy excessive enthusiasm and an addiction is that healthy enthusiasms add to life whereas addiction takes away from it”.

This quote I provided did not appear anywhere on the double-page spread (probably because it didn’t fit the main thrust of the article). The headline “Gaming as addictive as heroin” (almost certainly provided by someone other than the Gaming Editor) was arguably more sensationalist that the article itself. Any regular readers of my blog will know that I believe gaming addictions exist but that the number of gamers that are genuinely addicted comprises a small minority. The Sun’s story began by claiming that: “Britain is in the grip of a gaming addiction which poses as big a health risk as alcohol and drug abuse”. The article also alleged that a London-based clinic claimed it was receiving 5,000 calls a year from parents seeking help for their child’s gaming addiction (I myself get around 2-3 calls or emails a month). It also featured a number of case studies claiming they were addicted to social networking games (like Candy Crush) and online multiplayer games (like League of Legends). There were also a number of references to alleged gaming-related deaths including the recent story that a coroner had linked three male suicides to playing the game Call of Duty.

On the day The Sun article was published, I was contacted by a journalist from Eurogamer for my comments on the piece. The resulting article was basically my interview with the journalist (which then formed the basis of countless stories that appeared in the online gaming press including the Tech Times, The FixDigital Spy, Polygon, Kotaku, etc.). I was asked if I thought gaming was as addictive as heroin. I responded by saying:

“It depends how you define addiction in the first place. I’ve spent my whole career trying to say if you’re going to call something an addiction it has to be similar right across the board. The criteria I use for video game addiction would be exactly the same as in heroin addiction in the sense that this is an activity that becomes the most important thing in your life, it compromises everything else in your life including your relationship, work and hobbies. It’s something you use as a way of modifying your mood. It’s something that builds up tolerance over time, so you need more and more. It’s something where you get withdrawal symptoms if you’re unable to engage in it. And it’s something that if you do manage to give up for a short time when you do the activity again you relapse. The good news from my perspective is on those particular criteria, the number of genuine video game addicts is few and far between. If we’re talking about genuine video game addiction, it doesn’t matter what the activity is if we’re using the same criteria. It’s a bit like that trick question my physics teacher used to give us, which was, if you’ve got a ton of feathers and a ton of lead, which weighs heavier? Most kids put down a ton of feathers, but the whole point is it’s a ton. It’s quite clear that some, whether it’s kids or young adults, have some problems around the fact they seem to be unable to control the amount of time they spend gaming, and maybe it’s impacting other areas of their life. But just because there are some addictive-like components there it doesn’t mean they’re genuinely addicted”.

I also told the journalist that to be genuinely addicted to a behaviour (like gaming) that I would expect to see conflict in every area of the person’s life – their relationships, their work and/or education, their other social activities. The Sun also claimed that: “Britain is in the grip of a gaming addiction”. I was asked by Eurogamer whether I thought this to be the case and I said that in my view this was “incorrect”. I then went on to say:

“I’ve spent well over 25 years studying video game addiction. If we’re going to use the word ‘addiction’ we have to use the same concepts, signs and symptoms we find in other more traditional addictions, like withdrawal and tolerance. By doing that the number of people who end up being addicted by my criteria are actually few and far between. The [ten questions] I did for The Sun is actually based on real criteria I use in my research. The number of people who would score seven out of 10 of those items I put in The Sun today, I’d find it very hard to believe there would be more than a handful of people out there that would score high on all those things. You’d probably get a lot of people who might endorse three or four of them, but that doesn’t mean they’re addicted. That might be somebody who has problems with it. Most kids can afford to play three hours a day without it impacting on their education, their physical education and their social networks. Yes, I believe video game addiction exists, and if it is a genuine addiction it may well be as addictive as other more traditional things in terms of signs, symptoms and components. But the good news is it is a very tiny minority who are genuinely addicted to video games…There is no evidence the country is in ‘the grip of addiction’. Yes, we have various studies showing a small minority have problematic gaming. But problematic gaming doesn’t necessarily mean gaming addiction. They’re two very separate things. Yet the media seem to put them as the same…Every time I do a piece of research, if it’s something that’s negative, 90 per cent of the press cover it. If it’s something positive, 10 per cent of the press cover it. Bad news stories sell”.

Speaking to the press (and writing journalistic articles for the press) is something that I do on an almost daily basis and I will not stop doing it as I believe that we as academics have a public duty to disseminate our research findings outside of academia and to the general public. As I noted in a previous blog, I’ve had a few horror stories when what I’ve said is taken out of context but a few bad experiences are never going to be enough to put me off sharing my work with the mass media.

Finally – and as promised above – here are ten simple ‘yes/no’ questions about gaming that I had published in The Sun. If you answer ‘yes’ to seven or more of them, in my view, you may have a gaming addiction.

  • Do you think gaming has become the most important thing in your daily life?
  • Have you jeopardised your job or education because of your gaming activity?
  • Have you experienced relationship problems (with your partner, children or friends) because of your gaming?
  • Do you feel irritable, anxious or sad when you try to cut down or stop gaming?
  • Do you play games as a way of making your mood feel better?
  • Have you lost interests in other hobbies and leisure activities because of gaming?
  • When trying to cut down or stop your gaming, do you feel that you can’t?
  • Do you feel totally preoccupied with gaming (for example, even if you are not actually gaming you are thinking about it)?
  • Have you lied to anyone because the amount of time you spend gaming?
  • Have you spent an increasing amount of time gaming every day over the last six months?

Dr. Mark Griffiths, Professor of Gambling Studies, International Gaming Research Unit, Nottingham Trent University, Nottingham, UK

Further reading

Griffiths, M.D. (2010). Online video gaming: What should educational psychologists know? Educational Psychology in Practice, 26(1), 35-40.

Griffiths, M.D. (2013). Video games make us better people. The Sun, February 1, p.8.

Griffiths, M.D., King, D.L. & Demetrovics, Z. (2014). DSM-5 Internet Gaming Disorder needs a unified approach to assessment. Neuropsychiatry, 4(1), 1-4.

Griffiths, M.D., Kuss, D.J. & King, D.L. (2012). Video game addiction: Past, present and future. Current Psychiatry Reviews, 8, 308-318.

King, D.L., Delfabbro, P.H. & Griffiths, M.D. (2009). The psychological study of video game players: Methodological challenges and practical advice. International Journal of Mental Health and Addiction, 7, 555-562.

King, D.L., Delfabbro, P.H. & Griffiths, M.D. (2010). Video game structural characteristics: A new psychological taxonomy. International Journal of Mental Health and Addiction, 8, 90-106.

King, D.L., Delfabbro, P.H. & Griffiths, M.D. (2010). The role of structural characteristics in problem video game playing: A review. Cyberpsychology: Journal of Psychosocial Research on Cyberspace. Located at: http://www.cyberpsychology.eu/view.php?cisloclanku=2010041401&article=6.

King, D.L., Delfabbro, P.H. & Griffiths, M.D. (2010). The convergence of gambling and digital media: Implications for gambling in young people. Journal of Gambling Studies, 26, 175-187.

King, D.L., Delfabbro, P.H. & Griffiths, M.D. (2010). Cognitive behavioural therapy for problematic video game players: Conceptual considerations and practice issues. Journal of CyberTherapy and Rehabilitstion, 3, 261-273.

King, D.L., Delfabbro, P.H., Griffiths, M.D. & Gradisar, M. (2011). Assessing clinical trials of Internet addiction treatment: A systematic review and CONSORT evaluation. Clinical Psychology Review, 31, 1110-1116.

King, D.L., Delfabbro, P.H. & Griffiths, M.D. (2012). Clinical interventions for technology-based problems: Excessive Internet and video game use. Journal of Cognitive Psychotherapy: An International Quarterly, 26, 43-56.

King, D.L., Delfabbro, P.H., Griffiths, M.D. & Gradisar, M. (2012). Cognitive-behavioural approaches to outpatient treatment of Internet addiction in children and adolescents. Journal of Clinical Psychology: In Session, 68, 1185-1195.

King, D.L., Haagsma, M.C., Delfabbro, P.H.,Gradisar, M.S. &, Griffiths, M.D. (2013). Psychometric assessment of pathological video-gaming:A systematic review. Clinical Psychology Review, 33, 331-342.

Net losses: Internet abuse and addiction in the workplace

The following article is a much extended version of an article that was originally published by The Conversation under the title ‘Tweets and cybersex: Workplace web use is a minefield’

A number of market research reports have indicated that many office employees in the UK spend at least one hour of their day at work on various non-work activities (e.g., booking holidays, shopping online, posting messages on social networking sites, playing online games, etc.) and costs businesses millions of pounds a year. These findings highlight that internet abuse is a serious cause for concern – particularly to employers. Furthermore, the long-term effects of internet abuse may have more far-reaching effects for the company that internet abusers work for than the individuals themselves. Abuse also suggests that there may not necessarily be any negative effects for the user other than a decrease in work productivity.

Back in the early 2000s (and using some of Kimberley Young’s work on types of internet addiction) I developed a typology of internet abusers. This included cybersexual Internet abuse, online friendship/relationship abuse, internet activity abuse, online information abuse, criminal internet abuse, and miscellaneous Internet abuse:

  • Cybersexual Internet abuse: This involves the abuse of adult websites for cybersex and cyberporn during work hours. Such behaviours include the reading of online pornographic magazines, the watching of pornographic videos and/or webcams, or the participating in online sexual discussion groups, forums or instant chat facilities
  • Online friendship/relationship abuse: This involves the conducting of an online friendship and/or relationship during work hours. Such a category could also include the use of e-mailing friends, posting messages to friends on social networking sites (e.g., on Facebook, Twitter, etc.), and/or engaging in discussion groups, as well as maintenance of online emotional relationships. Such people may also abuse the Internet by using it to explore gender and identity roles by swapping gender or creating other personas and forming online relationships or engaging in cybersex.
  • Internet activity abuse: This involves the use of the internet during work hours in which other non-work related activities are done (e.g., online gambling, online shopping, online travel booking, online video gaming in massively multiplier games, online day-trading, online casual gaming via social network sites, etc.). This appears to be one of the most common forms of Internet abuse in the workplace.
  • Online information abuse: This involves the abuse of internet search engines and databases (e.g., Googling online for hours, constantly checking Twitter account, etc.). Typically, this involves individuals who search for work-related information on databases etc. but who end up wasting hours of time with little relevant information gathered. This may be deliberate work-avoidance but may also be accidental and/or non-intentional. It may also involve people who seek out general educational information, information for self-help/diagnosis (including online therapy) and/or scientific research for non-work purposes.
  • Criminal Internet abuse: This involves the seeking out individuals who then become victims of sexually-related Internet crime (e.g., online sexual harassment, online trolling, cyberstalking, paedophilic “grooming” of children). The fact that these types of abuse involve criminal acts may have severe implications for employers.
  • Miscellaneous Internet abuse: This involves any activity not found in the above categories such as the digital manipulation of images on the Internet for entertainment and/or masturbatory purposes (e.g., creating celebrity fake photographs where heads of famous people are superimposed onto someone else’s naked body).

There are many factors that make Internet abuse in the workplace seductive. It is clear from research in the area of computer-mediated communication that virtual environments have the potential to provide short-term comfort, excitement, and/or distraction. These provide compelling reasons as to why employees may engage in non-work related internet use. There are also other reasons (opportunity, access, affordability, anonymity, convenience, escape, disinhibition, social acceptance, and longer working hours):

  • Opportunity and access: Obvious pre-cursors to potential Internet abuse includes both opportunity and access to the Internet. Clearly, the internet is now commonplace and widespread, and is almost integral to almost all office workplace environments. Given that prevalence of undesirable behaviours is strongly correlated with increased access to the activity, it is not surprising that the development of internet abuse appears to be increasing across the population. Research into other socially acceptable but potentially problematic behaviours (drinking alcohol, gambling etc.) has demonstrated that increased accessibility leads to increased uptake (i.e., regular use) and that this eventually leads to an increase in problems – although the increase may not be proportional.
  • Affordability: Given the wide accessibility of the internet, it is now becoming cheaper and cheaper to use the online services on offer. Furthermore, for almost all employees, Internet access is totally free of charge and the only costs will be time and the financial costs of some particular activities (e.g., online sexual services, online gambling etc.).
  • Anonymity: The anonymity of the Internet allows users to privately engage in their behaviours of choice in the belief that the fear of being caught by their employer is minimal. This anonymity may also provide the user with a greater sense of perceived control over the content, tone, and nature of their online experiences. The anonymity of the Internet often facilitates more honest and open communication with other users and can be an important factor in the development of online relationships that may begin in the workplace. Anonymity may also increase feelings of comfort since there is a decreased ability to look for, and thus detect, signs of insincerity, disapproval, or judgment in facial expression, as would be typical in face-to-face interactions.
  • Convenience: Interactive online applications such as e-mail, social media, chat rooms, online forums, or role-playing games provide convenient mediums to meet others without having to leave one’s work desk. Online abuse will usually occur in the familiar and comfortable environment of home or workplace thus reducing the feeling of risk and allowing even more adventurous behaviours.
  • Escape: For some, the primary reinforcement of particular kinds of internet abuse (e.g., to engage in an online affair and/or cybersex) is the sexual gratification they experience online. In the case of behaviours like cybersex and online gambling, the experiences online may be reinforced through a subjectively and/or objectively experienced ‘high’. The pursuit of mood-modifying experiences is characteristic of addictions. The mood-modifying experience has the potential to provide an emotional or mental escape and further serves to reinforce the behaviour. Abusive and/or excessive involvement in this escapist activity may lead to problems (e.g., online addictions). Online behaviour can provide a potent escape from the stresses and strains of real life. These activities fall on the continuum from life enhancing to pathological and addictive.
  • Disinhibition: Disinhibition is clearly one of the internet’s key appeals as there is little doubt that the Internet makes people less inhibited. Online users appear to open up more quickly online and reveal themselves emotionally much faster than in the offline world. What might take months or years in an offline relationship may only takes days or weeks online. As a number of researchers have pointed out, the perception of trust, intimacy and acceptance has the potential to encourage online users to use these relationships as a primary source of companionship and comfort.
  • Social acceptability:The social acceptability of online interaction is another factor to consider in this context. What is really interesting is how the perception of online activity has changed over the last 15 years (e.g., the ‘nerdish’ image of the Internet is almost obsolete). It may also be a sign of increased acceptance as young children and adolescents are exposed to technology earlier and so become used to socializing using computers as tools. For instance, laying the foundations for an online relationship in this way has become far more socially acceptable and will continue to be so. Most of these people are not societal misfits as is often claimed – they are simply using the technology as another tool in their social armory.
  • Longer working hours: All over the world, people are working longer hours and it is perhaps unsurprising that many of life’s activities can be performed from the workplace Internet. Take, for example, the case of a single individual looking for a relationship. For these people, the Internet at work may be ideal. Dating via the desktop may be a sensible option for workaholic professionals. It is effectively a whole new electronic “singles bar” which because of its text-based nature breaks down physical prejudices. For others, internet interaction takes away the social isolation that we can all sometimes feel. There are no boundaries of geography, class or nationality. It opens up a whole new sphere of relationship-forming.

Being able to spot someone who is an Internet abuser can be very difficult. However, there are some practical steps that employers can be taken to help minimize the potential problem.

  • Take the issue of internet abuse seriously. Internet abuse and addiction in all their varieties are only just being considered as potentially serious occupational issues. Managers, in conjunction with Personnel Departments need to ensure they are aware of the issues involved and the potential risks it can bring to both their employees and the whole organization. They also need to be aware that for employees who deal with finances, some forms of Internet abuse (e.g., Internet gambling), the consequences for the company can be very great.
  • Raise awareness of internet abuse issues at work. This can be done through e-mail circulation, leaflets, and posters on general notice boards. Some countries will have national and/or local agencies (e.g., technology councils, health and safety organizations etc.) that can supply useful educational literature (including posters). Telephone numbers for these organizations can usually be found in most telephone directories.
  • Ask employees to be vigilant. Internet abuse at work can have serious repercussions not only for the individual but also for those employees who befriend Internet abusers, and the organization itself. Fellow staff members need to know the basic signs and symptoms of Internet abuse. Employee behaviours such as continual use the Internet for non-work purposes might be indicative of an Internet abuse problem.
  • Monitor internet use of staff that may be having problems. Those staff members with an internet-related problem are likely to spend great amounts of time engaged in non-work activities on the Internet. Should an employer suspect such a person, they should get the company’s I.T. specialists to look at their Internet surfing history as the computer’s hard disc will have information about everything they have ever accessed.
  • Check internet “bookmarks” of staff. In some jurisdictions across the world, employers can legally access the e-mails and Internet content of their employees. One of the simplest checks is to simply look at an employee’s list of “bookmarked” websites. If they are spending a lot of employment time engaged in non-work activities, many bookmarks will be completely non-work related (e.g., online dating agencies, gambling sites).
  • Develop an “Internet Abuse At Work” policy. Many organizations have policies for behaviours such as smoking or drinking alcohol. Employers should develop their own internet abuse policies via liaison between Personnel Services and local technology councils and/or health and safety executives.
  • Give support to identified problem users. Most large organizations have counselling services and other forms of support for employees who find themselves in difficulties. In some (but not all) situations, problems associated with internet use need to be treated sympathetically (and like other more bona fide problems such as alcoholism). Employee support services must also be educated about the potential problems of internet abuse in the workplace.

Internet abuse can clearly be a hidden activity and the growing availability of internet facilities in the workplace is making it easier for abuse to occur in lots of different forms. Thankfully, it would appear that for most people internet abuse is not a serious individual problem although for large companies, small levels of internet abuse multiplied across the workforce raises serious issues about work productivity. For those whose internet abuse starts to become more of a problem, it can affect many levels including the individual, their work colleagues, and the organization itself.

Managers clearly need to have their awareness of this issue raised, and once this has happened, they need to raise awareness of the issue among the work force. Furthermore, employers need to let employees know exactly which behaviours on the Internet are reasonable (e.g., the occasional e-mail to a friend) and those that are unacceptable (e.g., online gaming, cybersex etc.). Internet abuse has the potential to be a social issue, a health issue and an occupational issue and needs to be taken seriously by all those employers who utilize the Internet in their day-to-day business.

Dr. Mark Griffiths, Professor of Gambling Studies, International Gaming Research Unit, Nottingham Trent University, Nottingham, UK

Further reading

Griffiths, M.D. (1995). Technological addictions. Clinical Psychology Forum, 76, 14-19.

Griffiths, M.D. (2002). Internet gambling in the workplace. In M. Anandarajan & C. Simmers (Eds.). Managing Web Usage in the Workplace: A Social, Ethical and Legal Perspective (pp. 148-167). Hershey, Pennsylvania: Idea Publishing.

Griffiths, M.D. (2002). Occupational health issues concerning Internet use in the workplace. Work and Stress, 16, 283-287.

Griffiths, M.D. (2003). Internet abuse in the workplace – Issues and concerns for employers and employment counselors. Journal of Employment Counseling, 40, 87-96.

Griffiths, M.D. (2004). Internet abuse and addiction in the workplace – Issues and concerns for employers. In M. Anandarajan (Eds.). Personal Web Usage in the Workplace: A Guide to Effective Human Resource Management (pp. 230-245).Hershey, Pennsylvania: Idea Publishing.

Griffiths, M.D. (2009). Internet gambling in the workplace. Journal of Workplace Learning, 21, 658-670.

Griffiths, M.D. (2010). Internet abuse and internet addiction in the workplace. Journal of Worplace Learning, 7, 463-472.

Griffiths, M.D. (2010). The hidden addiction: Gambling in the workplace. Counselling at Work, 70, 20-23.

Griffiths, M.D. (2012). Internet sex addiction: A review of empirical research. Addiction Research and Theory, 20, 111-124.

Griffiths, M.D., Kuss, D.J. & Demetrovics, Z. (2014). Social networking addiction: An overview of preliminary findings. In K. Rosenberg & L. Feder (Eds.), Behavioral Addictions: Criteria, Evidence and Treatment (pp.119-141). New York: Elsevier.

Kuss, D.J., Griffiths, M.D., Karila, L. & Billieux, J. (2014).  Internet addiction: A systematic review of epidemiological research for the last decade. Current Pharmaceutical Design, in press.

Widyanto, L. & Griffiths, M.D. (2006). Internet addiction: Does it really exist? (Revisited). In J. Gackenbach (Ed.), Psychology and the Internet: Intrapersonal, Interpersonal and Transpersonal Applications (2nd Edition), (pp.141-163). New York: Academic Press.

Young K. (1999). Internet addiction: Evaluation and treatment. Student British Medical Journal, 7, 351-352.

Carry on screening: A brief look at Internet Gaming Disorder

In this month’s issue of the Neuropsychiatry journal, I – and my research colleagues (Dr. Daniel King and Dr. Zsolt Demetrovics) – published a paper arguing that Internet Gaming Disorder needs a unified approach to assessment. Over the last 15 years, research into various online addictions has greatly increased. Prior to the publication of the fifth edition of the American Psychiatric Association’s Diagnostic and Statistical Manual of Mental Disorders (DSM-5) in 2013, there had been some debate as to whether ‘internet addiction’ should be introduced into the text as a separate disorder. Alongside this, there has also been debate as to whether those researching in the online addiction field should be researching generalized internet use and/or the potentially addictive activities that can be engaged on the internet (e.g., gambling, video gaming, sex, shopping, etc.)

Following these debates, the Substance Use Disorder Work Group (SUDWG) recommended that the DSM-5 include a sub-type of problematic internet use (i.e., internet gaming disorder [IGD]) in Section 3 (‘Emerging Measures and Models’) as an area that needed future research before being included in future editions of the DSM. According to Dr. Nancy Petry and Dr. Charles O’Brien writing in a 2013 issue of Addiction, IGD will not be included as a separate mental disorder until the (i) defining features of IGD have been identified, (ii) reliability and validity of specific IGD criteria have been obtained cross-culturally, (iii) prevalence rates have been determined in representative epidemiological samples across the world, and (iv) etiology and associated biological features have been evaluated.

Although there is now a rapidly growing literature on pathological video gaming, one of the key reasons that IGD was not included in the main text of the DSM-5 was that the SUDWG concluded that no standard diagnostic criteria were used to assess gaming addiction across these many studies. A 2013 overview of instruments assessing problematic gaming by my colleagues and I in Clinical Psychology Review reported that 18 different screening instruments had been developed, and that these had been used in 63 quantitative studies comprising 58,415 participants. This comprehensive review identified both strengths and weaknesses of these instruments.

The main strengths of the instrumentation included the: (i) the brevity and ease of scoring, (ii) excellent psychometric properties such as convergent validity and internal consistency, and (iii) robust data that will aid the development of standardized norms for adolescent populations. However, the main weaknesses identified in the instrumentation included: (i) core addiction indicators being inconsistent across studies, (iii) a general lack of any temporal dimension, (iii) inconsistent cut-off scores relating to clinical status, (iv) poor and/or inadequate inter-rater reliability and predictive validity, and (v) inconsistent and/or dimensionality. It has also been noted by a number of authors that the criteria for IGD assessment tools are theoretically based on a variety of different potentially problematic activities including substance use disorders, pathological gambling, and/or other behavioral addiction criteria. There are also issues surrounding the settings in which diagnostic screens are used as those used in clinical practice settings may require a different emphasis that those used in epidemiological, experimental and neurobiological research settings.

Video gaming that is problematic, pathological and/or addictive (i.e., IGD) lacks a widely accepted definition. In a recent book chapter (in the 2014 book Behavioral Addictions: Criteria, Evidence and Treatment edited by Dr. Ken Rosenberg and Dr. Laura Feder), I and some of my Hungarian colleagues argued that some researchers consider video games as the starting point for examining the characteristics of this specific disorder, while others consider the internet as the main platform that unites different addictive internet activities, including online games. Recent studies have made an effort to integrate both approaches Consequently, IGD can either be viewed as a specific type of video game addiction, or as a variant of internet addiction, or as an independent diagnosis.

As I argued in one of my previous blogs, although all addictions have particular and idiosyncratic characteristics, they share more commonalities than differences (i.e., salience, mood modification, tolerance, withdrawal symptoms, conflict, and relapse), and this likely reflects a common etiology of addictive behavior. Consequently, online game addiction may be viewed as a specific type of video game addiction. Similarly, Dr. G. Porter and colleagues in a 2010 issue of the Australian and New Zealand Journal of Psychiatry, do not differentiate between problematic video game use and problematic online game use. They conceptualized problematic video game use as excessive use of one or more video games resulting in a preoccupation with and a loss of control over playing video games, and various negative psychosocial and/or physical consequences. However, unlike my conceptualization of gaming addiction, their criteria for problematic video game use does not include other features usually associated with dependence or addiction, (e.g., tolerance, physical symptoms of withdrawal), as they say there is no clear evidence that problematic gaming is associated with such phenomena. Researchers such as Dr. Kimberley Young view online gaming addiction as a sub-type of internet addiction and that the internet itself provides situation-specific characteristics that facilitate gaming becoming problematic and/or addictive.

In a 2010 issue of Computers in Human Behavior, Dr. M.G. Kim and Dr. J. Kim’s [11] proposed a Problematic Online Game Use (POGU) model that takes a more integrative approach and claims that neither of the approaches outlined above adequately capture the unique features of online games such as Massively Multiplayer Online Role Playing Games (MMORPGs). They argue that the internet is just one channel where people may access the content they want (e.g., gambling, shopping, sex, etc.) and that such users may become addicted to the particular content rather than the channel itself. This is analogous to the argument that I made over 15 years ago in a number of different papers that there is a fundamental difference between addiction to the internet, and addictions on the internet. However, MMORPGs differ from traditional stand-alone video games as there are social and/or role-playing dimension that allow interaction with other gamers.

The POGU model resulted in five underlying dimensions of addictive gameplay (i.e., euphoria, health problems, conflict, failure of self-control, and preference of virtual relationship). I also support the integrative approach and stress the need to include all types of online games in addiction models in order to make comparisons between genres and gamer populations possible (such as those who play online Real-Time Strategy (RTS) games and online First Person Shooter (FPS) games in addition to the widely researched MMORPG players). The POGU model comprises six dimensions (i.e., preoccupation, overuse, immersion, social isolation, interpersonal conflicts, and withdrawal).

Irrespective of approach or model, the components and dimensions that comprise online gaming addiction outlined above are very similar to the IGD criteria in Section 3 of the DSM-5. For instance, my six addiction components directly map onto the nine proposed criteria for IGD (of which five or more need to be endorsed and resulting in clinically significant impairment). More specifically: (1) preoccupation with internet games [salience]; (2) withdrawal symptoms when internet gaming is taken away [withdrawal]; (3) the need to spend increasing amounts of time engaged in internet gaming [tolerance], (4) unsuccessful attempts to control participation in internet gaming [relapse/loss of control]; (5) loss of interest in hobbies and entertainment as a result of, and with the exception of, internet gaming [conflict]; (6) continued excessive use of internet games despite knowledge of psychosocial problems [conflict]; (7) deception of family members, therapists, or others regarding the amount of internet gaming [conflict]; (8) use of the internet gaming to escape or relieve a negative mood [mood modification];  and (9) loss of a significant relationship, job, or educational or career opportunity because of participation in internet games [conflict].

The fact that IGD was included in Section 3 of the DSM-5 appears to have been well received by researchers and clinicians in the gaming addiction field (and by those individuals that have sought treatment for such disorders and had their experiences psychiatrically validated and feel less stigmatized). However, for IGD to be included in the section on ‘Substance-Related and Addictive Disorders’ along with ‘Gambling Disorder’, the gaming addiction field must unite and start using the same assessment measures so that comparisons can be made across different demographic groups and different cultures.

For epidemiological purposes, Dr. B. Koronczai and colleagues in a 2011 issue of Cyberpsychology, Behavior and Social Networking, asserted that the most appropriate measures in assessing problematic online use (including internet gaming) should meet six requirements. Such an instrument should have: (i) brevity (to make surveys as short as possible and help overcome question fatigue); (ii) comprehensiveness (to examine all core aspects of IGD as possible); (iii) reliability and validity across age groups (e.g., adolescents vs. adults); (iv) reliability and validity across data collection methods (e.g., online, face-to-face interview, paper-and-pencil); (v) cross-cultural reliability and validity; and (vi) clinical validation. It was also noted that an ideal assessment instrument should serve as the basis for defining adequate cut-off scores in terms of both specificity and sensitivity. To fulfill all these requirements, future research should adjust the currently used assessment tools to the newly accepted DSM-5 criteria and take much more efforts to reach and study clinical samples, which is an unequivocal shortcoming of both internet and gaming research.

In addition to further epidemiological and clinical research, further research is also needed on the neurobiology of IGD. A systematic review of 18 neuroimaging studies examining internet addiction and IGD by Dr. Daria Kuss and Griffiths in a 2012 issue of Brain Sciences noted that:

“These studies provide compelling evidence for the similarities between different types of addictions, notably substance-related addictions and Internet and gaming addiction, on a variety of levels. On the molecular level, Internet addiction is characterized by an overall reward deficiency that entails decreased dopaminergic activity. On the level of neural circuitry, Internet and gaming addiction lead to neuroadaptation and structural changes that occur as a consequence of prolonged increased activity in brain areas associated with addiction. On a behavioral level, Internet and gaming addicts appear to be constricted with regards to their cognitive functioning in various domains” (p.347).

The good news is that research in the gaming addiction field does appear to be reaching an emerging consensus. We noted in our 2013 Clinical Psychology Review paper that across many different studies, IGD is commonly defined by (a) withdrawal, (b) loss of control, and (c) conflict. However, it is critical that a unified approach to assessment of IGD is urgently needed as this is the only way that there will be a strong empirical basis for IGD to be included in the next DSM.

Dr Mark Griffiths, Professor of Gambling Studies, International Gaming Research Unit, Nottingham Trent University, Nottingham, UK

Further reading

American Psychiatric Association (2013) Diagnostic and Statistical Manual of Mental Disorders – Text Revision (Fifth Edition). Washington, D.C.: Author.

Demetrovics, Z., Urbán, R., Nagygyörgy, K., Farkas, J., Griffiths, M. D., Pápay, O., . . . Oláh, A. (2012). The development of the Problematic Online Gaming Questionnaire (POGQ). PLoS ONE, 7(5), e36417.

Griffiths, M.D. (2000). Internet addiction – Time to be taken seriously? Addiction Research, 8, 413-418.

Griffiths, M. D. (2005). A ‘components’ model of addiction within a biopsychosocial framework. Journal of Substance Use, 10(4), 191-197.

Griffiths, M.D., King, D.L. & Demetrovics, Z. (2014). DSM-5 Internet Gaming Disorder needs a unified approach to assessment. Neuropsychiatry, under review.

Griffiths, M.D., Kuss, D.J. & King, D.L. (2012). Video game addiction: Past, present and future. Current Psychiatry Reviews, 8, 308-318.

Kim, M. G., & Kim, J. (2010). Cross-validation of reliability, convergent and discriminant validity for the problematic online game use scale. Computers in Human Behavior, 26(3), 389-398.

King, D. L., Delfabbro, P. H., Griffiths, M. D., & Gradisar, M. (2011). Assessing clinical trials of Internet addiction treatment: A systematic review and CONSORT evaluation. Clinical Psychology Review, 31, 1110-1116.

King, D. L., Delfabbro, P. H., & Griffiths, M. D. (2012). Cognitive-behavioral approaches to outpatient treatment of Internet addiction in children and adolescents. Journal of Clinical Psychology, 68, 1185-1195.

King, D.L., Haagsma, M.C.,Delfabbro, P.H.,Gradisar, M.S., Griffiths, M.D. (2013). Toward a consensus definition of pathological video-gaming: A systematic review of psychometric assessment tools. Clinical Psychology Review, 33, 331-342.

Koronczai, B., Urban, R., Kokonyei, G., Paksi, B., Papp, K., Kun, B., . . . Demetrovics, Z. (2011). Confirmation of the three-factor model of problematic internet use on off-line adolescent and adult samples. Cyberpsychology, Behavior and Social Networking, 14, 657–664.

Kuss, D.J. & Griffiths, M.D. (2012). Internet and gaming addiction: A systematic literature review of neuroimaging studies. Brain Sciences, 2, 347-374.

Kuss, D.J., Griffiths, M.D., Karila, L. & Billieux, J. (2013).  Internet addiction: A systematic review of epidemiological research for the last decade. Current Pharmaceutical Design, in press.

Pápay, O., Nagygyörgy, K., Griffiths, M.D. & Demetrovics, Z. (2014). Problematic online gaming. In K. Rosenberg & L. Feder (Eds.), Behavioral Addictions: Criteria, Evidence and Treatment. New York: Elsevier.

Petry, N.M., & O’Brien, C.P. (2013). Internet gaming disorder and the DSM-5. Addiction, 108, 1186–1187.

Porter, G., Starcevic, V., Berle, D., & Fenech, P. (2010). Recognizing problem video game use. The Australian and New Zealand Journal of Psychiatry, 44, 120-128.

Young, K. S. (1998). Internet addiction: The emergence of a new clinical disorder. Cyberpsychology and Behavior, 1, 237-244.