Category Archives: Games

Tech your time: 12 top tips for a digital detox

Over the last few years there has been increasing use of the term ‘digital detox’. According to the Oxford Dictionary, digital detox is a period of time during which a person refrains from using electronic devices such as smartphones or computers, regarded as an opportunity to reduce stress or focus on social interaction in the physical world”. I have to admit that I often find it hard to switch off from work (mainly because I love my job). Given that my job relies on technology, by implication it also means I find it hard to switch off from technology. Today’s blog is as much for me as anyone reading this and provides some tips on how to cut down on technology use, even if it’s just for the weekend or a holiday. I have compiled these tips from many different online articles as well as some of my own personal strategies. 

Digitally detox in increments: For some people, going a few minutes without checking their smartphone or emails is difficult. For many, the urge is reflexive and habitual. If you are one of those people, then ‘baby steps’ are needed. Such individuals need to learn to digitally detox in small increments (i.e., go on a ‘digital diet’). Start by proving to yourself that you can go 15 minutes without technology. Over time, increase the length of time without checking (say) Twitter, Facebook and emails (e.g., 30 minutes, 60 minutes, a couple of hours) until you get into a daily habit of being able to spend a few hours without the need to be online. Another simple trick is to only keep mobile devices partially topped up. This means users have to be sparing when checking their mobile devices.

Set aside daily periods of self-imposed non-screen time: One of the secrets to cutting down technology use to acceptable levels is to keep aside certain times of the day technology-free (meal times and bedtime are a good starting place – in fact, these rooms should be made technology-free). For instance, I rarely look at any emails between 6pm and 8pm as this is reserved for family time (e.g., cooking and eating dinner with the family). Another strategy to try is having a technology-free day at the weekends (e.g., not accessing the internet at all for 24 hours). However, watching television or using an e-reader is fine. Another simple strategy is to have technology-free meal times (at both home and work). Don’t bring your smartphone or tablet to the table.

Only respond to emails and texts at specific times of the day: Only a few individuals are ‘on call’ and have to assume that the message they receive will be an emergency. Looking at emails (say) just three times a day (9am, 1pm, 4pm) will save lots of time in the long run. Turning off email and social media, disabling push notifications, or simply turning the volume setting to silent on electronic devices will also reduce the urge to constantly check mobile devices.

Don’t use your smartphone or tablet as an alarm clock: By using a standard alarm clock to wake you in the morning, you will avoid the temptation to look at emails and texts just as you are about to go to sleep or just wake up (or in the middle of the night if you are a workaholic!).

Engage in out-of-work activities where it is impossible (or frowned upon) to use technology: Nowadays, leisure activities such as going to the pub, having a meal, or going to the cinema, don’t stop people using wireless technology. By engaging in digitally incompatible activities where it is impossible to access technology simultaneously (e.g., jogging, swimming, meditation, outdoor walks in wi-fi free areas) or go to places where technology is frowned upon (e.g., places of worship, yoga classes, etc.) and individual will automatically decrease the amount of screen time. In social situations, you can turn people’s need to check their phones into a game. For instance, in the pub, you could have a game where the first one to check their phone has to buy a round of drinks for everyone else.

Tell your work colleagues and friends you are going on a digital detox: Checking emails and texts can become an almost compulsive behaviour because of what psychologists have termed ‘FOMO’ (fear of missing out) that refers to the anxiety that an interesting or exciting event may be happening elsewhere online. By telling everyone you know that you will not be online for a few hours, they will be less likely to contact you in the first place and you will be less likely check for online messages in the first place. Alternatively, Put your ‘out-of-office’ notification on for a few hours and do something more productive with your time.

Reduce your contact lists: One way to spend less time online is to reduce the number of friends on social networking sites, stop following blogs (but not mine, of course!), delete unused apps, and unsubscribe from online groups that have few benefits. Also, delete game apps that can be time-consuming (e.g., Angry Birds, Candy Crush Saga, etc.).

Get a wristwatch: One of the most common reasons for looking at a smartphone or a tablet is to check the time. If checking the time also leads to individuals noticing they have a text, email or tweet, they will end up reading what has been sent. By using an old fashioned wristwatch (as opposed to new smart watches like the Apple Watch), the urge to reply to messages will decrease.

Think about the benefits of not constantly being online: If you are the kind of person that responds to emails, texts and tweets as they come in, you will write longer responses than if you look at them all in a block. The bottom line is that you can save loads of time to spend on other things if you didn’t spend so long constantly reacting to what is going on in the online world.

Enjoy the silence: Too many people fail to appreciate being in the moment and allowing themselves to resist the urge to log onto their laptops, mobiles and tablets. It is at these times that some people might interpret as boredom that we can contemplate and be mindful. This could be made more formal by introducing meditation into a daily routine. There are also many places that run whole weekends and short breaks where technology is forbidden and much of the time can be spent in quiet contemplation. 

Fill the void: To undergo digital detox for any length of time, an individual has to replace the activity with something that is as equally rewarding (whether it is physically, psychologically or spiritually). When I’m on holiday, I catch up on all the novels that I’ve been meaning to read. In shorter spaces of time (such as sitting in boring meetings) I doodle, write ‘to do’ lists, generate ideas to write about, or simply do nothing (and be mindful, aware of the present moment). In short, I try to productive (or unproductive) without having to resort to my technology. 

Use technology to beat technology: One thing that can shock technology users is how much time they actually spend on their mobile devices. Working out how much time is actually spent online can be the first step in wanting to cut down. (For instance, someone I once worked with was shocked to find he had spent 72 [24-hour] days in one year playing World of Warcraft). Tech users can download apps that tell them how much time spending online, (e.g., Moment). Being made aware of a problem is often the first step in enabling behavioural change.

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

Further reading

Goodnet (2013). 7 steps to planning your next digital detox. October 22. Located at: http://www.goodnet.org/articles/7-steps-to-planning-your-next-digital-detox

Hosseini, M.D. (2013). Top 10 tips to unplug this summer with a digital detox. Advertising Week Social Club, June 28. Located at: http://www.theawsc.com/2013/06/28/top-10-tips-to-unplug-this-summer-with-a-digital-detox/

Huffington Post (2013). 10 digital detox vacation hacks to help you truly unplug. July 31. Located at: http://www.huffingtonpost.com/2013/07/31/vacation-hacks-_n_3676474.html

Levy, P. (2015). 15 tips for a total digital detox. Mind Body Green, January 15. Located at: http://www.mindbodygreen.com/0-17030/15-tips-for-a-total-digital-detox.html

Lipman, F. (2015). 12 tips for your next digital detox. March 2. Located at: http://www.drfranklipman.com/shake-it-off-12-tips-for-your-next-digital-detox/

Lipman, F. (2014). 8 ways to disconnect from technology and get more done. November 5. Located at: http://www.drfranklipman.com/8-ways-to-disconnect-from-technology-and-get-more-done/

South China Morning Post (2015). Five tips for a digital detox. Located at: http://www.scmp.com/lifestyle/technology/article/1673273/five-tips-digital-detox

Vozza, S. (2013). A realistic digital detox in 5 easy steps. Entrepreneur, November 12. Located: http://www.entrepreneur.com/article/229783

Game over-view: A brief overview of our recent papers on gaming addiction

Following my recent blogs where I outlined some of the papers that my colleagues and I have published on mindfulness and Internet addiction, here is a round-up of recent papers that my colleagues and I have published on gaming addiction.

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.

  • Despite the large growth on gaming behaviour research, little has been done to overcome the problem stemming from the heterogeneity of gaming addiction nomenclature and the use of non-standardised measurement tools. Following the recent inclusion of Internet Gaming Disorder [IGD] as a condition worthy of future studies in the fifth edition of the Diagnostic and Statistical Manual of Mental Disorders [DSM-5], researchers have now an opportunity to reach consensus and unification in the field. The aim of this study was to develop a new nine-item short-form scale to assess Internet Gaming Disorder (IGDS-SF9) and to further explore its psychometric properties. A sample of 1060 gamers (85.1% males, mean age 27 years) recruited via online gaming forums participated. Exploratory factor analysis [EFA], confirmatory factor analysis [CFA], analyses of the criterion-related and concurrent validity, reliability, standard error of measurement [SEM], population cross-validity, and floor and ceiling effects were performed to assess the instrument’s psychometric properties. The results from the EFA revealed a single-factor structure for IGD that was also confirmed by the CFA. The nine items of the IGDS-SF9 are valid, reliable, and proved to be highly suitable for measuring IGD. It is envisaged that the IGDS-SF9 will help facilitate unified research in the field.

Benrazavi, S.R., Teimouri, M. & Griffiths, M.D. (2015). Utility of parental mediation model on youth’s problematic online gaming. International Journal of Mental Health and Addiction, 13, 712-727.

  • The Parental Mediation Model (PMM) was initially designed to regulate children’s attitudes towards the traditional media. In the present era, because of prevalent online media there is a need for similar regulative measures. Spending long hours on social media and playing online games increase the risks of exposure to the negative outcomes of online gaming. This paper initially applied the PMM developed by European Kids Online to (i) test the reliability and validity of this model and (ii) identify the effectiveness of this model in controlling problematic online gaming (POG). The data were collected from 592 participants comprising 296 parents and 296 students of four foreign universities, aged 16 to 22 years in Kuala Lumpur (Malaysia). The study found that the modified model of the five-factor PMM (Technical mediation, Monitoring mediation, Restrictive mediation, Active Mediation of Internet Safety, and Active mediation of Internet Use) functions as a predictor for mitigating POG. The findings suggest the existence of a positive relation between ‘monitoring’ and ‘restrictive’ mediation strategies and exposure to POG while Active Mediation of Internet Safety and Active mediation of Internet use were insignificant predictors. Results showed a higher utility of ‘technical’ strategies by the parents led to less POG. The findings of this study do not support the literature suggesting active mediation is more effective for reducing youth’s risky behaviour. Instead, parents need to apply more technical mediations with their children and adolescents’ Internet use to minimize the negative effects of online gaming.

Hussain, Z., Williams, G. & Griffiths, M.D. (2015). An exploratory study of the association between online gaming addiction and enjoyment motivations for playing massively multiplayer online role-playing games. Computers in Human Behavior, 50, 221–230.

  • Massively multiplayer online role-playing games (MMORPGs) are a popular form of entertainment used by millions of gamers worldwide. Potential problems relating to MMORPG play have emerged, particularly in relation to being addicted to playing in such virtual environments. In the present study, factors relating to online gaming addiction and motivations for playing in MMORPGs were examined to establish whether they were associated with addiction. A sample comprised 1167 gamers who were surveyed about their gaming motivations. Latent Class Analysis revealed seven classes of motivations for playing MMORPGs, which comprised: (1) novelty; (2) highly social and discovery-orientated; (3) aggressive, anti-social and non-curious; (4) highly social, competitive; (5) low intensity enjoyment; (6) discovery-orientated; and (7) social classes. Five classes of gaming addiction-related experiences were extracted including: (1) high risk of addiction, (2) time-affected, (3) intermediate risk of addiction, (4) emotional control, and (5) low risk of addiction classes. Gender was a significant predictor of intermediate risk of addiction and emotional control class membership. Membership of the high risk of addiction class was significantly predicted by belonging to a highly social and competitive class, a novelty class, or an aggressive, anti-social, and non-curious class. Implications of these findings for assessment and treatment of MMORPG addiction are discussed.

Király, O., Griffiths, M.D. & Demetrovics Z. (2015). Internet gaming disorder and the DSM-5: Conceptualization, debates, and controversiesCurrent Addiction Reports, 2, 254–262.

  • Scientific interest in behavioral addictions (such as Internet gaming disorder [IGD]) has risen considerably over the last two decades. Moreover, the inclusion of IGD in Section 3 of DSM-5 will most likely stimulate such research even more. Although the inclusion of IGD appears to have been well received by most of the researchers and clinicians in the field, there are several controversies and concerns surrounding its inclusion. The present paper aims to discuss the most important of these issues: (i) the possible effects of accepting IGD as an addiction; (ii) the most important critiques regarding certain IGD criteria (i.e., preoccupation, tolerance, withdrawal, deception, and escape); and (iii) the controversies surrounding the name and content of IGD. In addition to these controversies, the paper also provides a brief overview of the recent findings in the assessment and prevalence of IGD, the etiology of the disorder, and the most important treatment methods.

Király, O., Urbán, R., Griffiths, M.D., Ágoston, C., Nagygyörgy, K., Kökönyei, G. & Demetrovics, Z. (2015). Psychiatric symptoms and problematic online gaming: The mediating effect of gaming motivation. Journal of Medical Internet Research, 17(4) :e88.

  • Background: The rapid expansion of online video gaming as a leisure time activity has led to the appearance of problematic online gaming (POG). According to the literature, POG is associated with different psychiatric symptoms (eg, depression, anxiety) and with specific gaming motives (ie, escape, achievement). Based on studies of alcohol use that suggest a mediator role of drinking motives between distal influences (e.g., trauma symptoms) and drinking problems, this study examined the assumption that there is an indirect link between psychiatric distress and POG via the mediation of gaming motives. Furthermore, it was also assumed that there was a moderator effect of gender and game type preference based on the important role gender plays in POG and the structural differences between different game types. Objective: This study had two aims. The first aim was to test the mediating role of online gaming motives between psychiatric symptoms and problematic use of online games. The second aim was to test the moderator effect of gender and game type preference in this mediation model. Methods: An online survey was conducted on a sample of online gamers (N=3186; age: mean 21.1, SD 5.9 years; male: 2859/3186, 89.74%). The Brief Symptom Inventory (BSI), the Motives for Online Gaming Questionnaire (MOGQ), and the Problematic Online Gaming Questionnaire (POGQ) were administered to assess general psychiatric distress, online gaming motives, and problematic online game use, respectively. Structural regression analyses within structural equation modeling were used to test the proposed mediation models and multigroup analyses were used to test gender and game type differences to determine possible moderating effects. Results: The mediation models fitted the data adequately. The Global Severity Index (GSI) of the BSI indicated that the level of psychiatric distress had a significant positive direct effect (standardized effect=.35, P<.001) and a significant indirect (mediating) effect on POG (standardized effect=.194, P<.001) via 2 gaming motives: escape (standardized effect=.139, P<.001) and competition (standardized effect=.046, P<.001). The comparison of the 2 main gamer types showed no significant differences in the model. However, when comparing male and female players it was found that women had (1) slightly higher escape scores (on a 5-point Likert scale: mean 2.28, SD 1.14) than men (mean 1.87, SD 0.97) and (2) a stronger association between the escape motive and problematic online gaming (standardized effect size=.64, P<.001) than men (standardized effect size=.20, P=.001). Conclusions: The results suggest that psychiatric distress is both directly and indirectly (via escape and competition motives) negatively associated with POG. Therefore, the exploration of psychiatric symptoms and gaming motives of POG can be helpful in the preparation of prevention and treatment programs.

Fuster, H., Carbonell, X., Pontes, H.M. & Griffiths, M.D. (2016). Spanish validation of the Internet Gaming Disorder-20 (IGD-20) Test. Computers in Human Behavior, 56, 215-224.

  • In recent years, problematic and addictive gaming has been a phenomenon of growing concern worldwide. In light of the increasing awareness about this issue, the latest (fifth) edition of the American Psychiatric Association’s Diagnostic and Statistical Manual of Mental Disorders (DSM-5) included Internet Gaming Disorder (IGD) as an area in need of more empirical research. The Internet Gaming Disorder Test (IGD-20 Test) was developed as a valid and reliable tool to assess IGD. The aim of the present study was to validate the Spanish version of the IGD-20 Test, and analyze the different profiles found among a sample of 1074 Spanish-speaking gamers. A confirmatory factor analysis showed the validity of the Spanish version of the IGD-20 Test and its six factor structure (i.e., salience, mood modification, tolerance, withdrawal, conflict and relapse). The latent profile analysis (LPA) showed five different gamer classes. The ‘disordered gamers’ class comprised 2.6% of the participants. Based on this class, sensitivity and specificity analyses showed an adequate empirical cut-off point of 75 (out of 100). It is concluded that the Spanish version of the IGD-20 Test is valid and reliable and can be used in research into IGD among Spanish speaking populations.

Griffiths, M.D., Van Rooij, A., Kardefelt-Winther, D., Starcevic, V., Király, O…Demetrovics, Z. (2016). Working towards an international consensus on criteria for assessing Internet Gaming Disorder: A critical commentary on Petry et al (2014). Addiction, 111, 167-175.

  • This commentary paper critically discusses the recent debate paper by Petry et al. (2014) that argued there was now an international consensus for assessing Internet Gaming Disorder (IGD). Our collective opinions vary considerably regarding many different aspects of online gaming. However, we contend that the paper by Petry and colleagues does not provide a true and representative international community of researchers in this area. This paper critically discusses and provides commentary on (i) the representativeness of the international group that wrote the ‘consensus’ paper, and (ii) each of the IGD criteria. The paper also includes a brief discussion on initiatives that could be taken to move the field towards consensus. It is hoped that this paper will foster debate in the IGD field and lead to improved theory, better methodologically designed studies, and more robust empirical evidence as regards problematic gaming and its psychosocial consequences and impact.

Kim, N.R., Hwang, S.S-H., Choi, J-S., Kim, D-J., Demetrovics, Z., Király, O., Nagygyörgy, K., Griffiths, M.D., Hyun, S.Y., Youn, H.C. & Sam-Wook Choi, S-W. (2016). Characteristics and psychiatric symptoms of Internet Gaming Disorder among adults using self-reported DSM-5 criteria. Psychiatry Investigation, 13(1), 58-66.

  • Objective: The Section III of the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5) proposed nine diagnostic criteria and five cut-point criteria for Internet Gaming Disorder (IGD). We aimed to examine the efficacy of such criteria. Methods: Adults (n=3041, men: 1824, women: 1217) who engaged in internet gaming within last 6 months completed a self-report online survey using the suggested wordings of the criteria in DSM-5. Major characteristics, gaming behavior, and psychiatric symptoms of IGD were analyzed using ANOVA, chi-square, and correlation analyses. Results: The sociodemographic variables were not statistically significant between the healthy controls and the risk group. Among the participants, 419 (13.8%) were identified and labeled as the IGD risk group. The IGD risk group scored significantly higher on all motivation subscales (p<0.001). The IGD risk group showed significantly higher scores than healthy controls in all nine psychiatric symptom dimensions, i.e., somatization, obsession-compulsion, interpersonal sensitivity, depression, anxiety, hostility, phobic anxiety, paranoid ideation, and psychoticism (p<0.001). Conclusion: The IGD risk group showed differential psychopathological manifestations according to DSM-5 IGD diagnostic criteria. Further studies are needed to evaluate the reliability and validity of the specific criteria, especially for developing screening instruments.

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

Further reading

Beranuy, M., Carbonell, X., & Griffiths, M.D. (2013). A qualitative analysis of online gaming addicts in treatment. International Journal of Mental Health and Addiction, 11, 149-161.

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., 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. & 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. (2013). Trajectories of problem video gaming among adult regular gamers: An 18-month longitudinal study. Cyberpsychology, Behavior and Social Networking, 16, 72-76.

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.

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.

Lopez-Fernandez, O., Honrubia-Serrano, M.L., Baguley, T. & Griffiths, M.D. (2014). Pathological video game playing in Spanish and British adolescents: Towards the Internet Gaming Disorder symptomatology. Computers in Human Behavior, 41, 304–312.

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.

Spekman, M.L.C., Konijn, E.A, Roelofsma, P.H.M.P. & Griffiths, M.D. (2013). Gaming addiction, definition, and measurement: A large-scale empirical study, Computers in Human Behavior, 29, 2150-2155.

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.

Tales of the unexpected: 10 bad habits that sometimes do us good (Part 1)

All of us have bad habits, and all of us from time to time feel guilty about these habits. But there are some bad habits – at least when carried out in moderation – that might actually have benefits for psychological and/or physical wellbeing. Most bad habits help change our mood state and reduce stress (at least in the very short-term) but tend to become less helpful the more they are engaged in. Some of these bad habits turn into addictions where the short-term benefits are outweighed by the long-term costs. However, there are many activities that can sometimes have unexpected benefits and five of these are outlined in this blog. The next five bad habits will be in my next blog.

(1) Fidgeting helps burn calories

While fidgeting might be annoying for individuals and those around them, it is an activity that expends energy and burns calories. Fidgeting is one of a number of activities (along with walking, gardening, typing, tidying up, etc.) that are known as non-exercise activity thermogenesis (NEAT). In basic terms, NEAT is any activity that is not eating, sleeping, or sporting exercise. A number of studies carried out by obesity expert Dr. James Levine at the US Mayo Clinic (Arizona, US) have shown that individuals who fidget burn up about 350kcal a day. This is because fidgeting speeds up an individual’s metabolism by stimulating neurochemicals in the body thus increasing the ability to convert body fat into energy. So, if you are a compulsive foot tapper, an excessive thumb twiddler, or a restless doodler, just remember that all of these activities burn calories.

(2) Chewing gum helps boost thinking and alertness

Watching people chew gum is not a pretty site but if English football managers are anything to go by, chewing gum appears to be a stress relieving activity. In fact, there appear to appear to be many cognitive benefits of chewing gum. Dr. Kin-ya Kubo and colleagues in the book Senescence and Senescence-Related Disorders noted that chewing gum immediately before performing a cognitive task increases blood oxygen levels in the prefrontal cortex and hippocampus (important brain structures involved in learning and memory), thereby improving task performance. Dr. Kubo argues that chewing gum may therefore be a drug-free and simple method of helping those with senile dementia and stress-related disorders that are often associated with cognitive dysfunction. Another study by Dr. Yoshiyuki Hirano and colleagues showed that chewing gum boosts thinking and alertness, and that reaction times among chewers were 10% faster than non-chewers. The research team also reported that up to eight areas of the brain are affected by chewing (most notably the areas concerning attention and movement). As Professor Andy Smith (Cardiff University, UK) neatly summed up: “The effects of chewing on reaction time are profound. Perhaps football managers arrived at the idea of chewing gum by accident, but they seem to be on the right track”. 

(3) Playing video games helps relieve pain

Many individuals that do not play video games view the activity as a complete waste of time and potentially addictive. While excessive video game playing may cause problems in a minority of individuals, there is lots of scientific evidence that playing video games can have many beneficial effects. For instance, a number of studies have shown that children with cancer who play video games after chemotherapy take less pain killing medication. Video games have also been used as pain relieving therapy for other medical conditions such as burns victims and those with back pain. This is because playing video games is an engaging and engrossing activity that means the player cannot think about anything else but playing the game (and is what psychologists refer to as a ‘cognitive distractor task’). Pain has a large psychological component and individuals experience less pain if the person is engaged in an activity that takes up all their cognitive mind space. As well as being a pain reliever, there are also many studies showing that playing video games increase hand-eye co-ordination, increase reaction times, and have educational learning benefits.

(4) Eating snot helps strengthen the immune system (maybe)

How does it make you feel when you see someone picking their nose and then eating what they have found? Disgust? Contempt? Amused? In 2008, Dr Friedrich Bischinger, an Austrian lung specialist, claimed that picking your nose and eating it was good for you. He claimed that people who pick their noses with their fingers were healthy, happier and probably better in tune with their bodies than those who didn’t. Dr. Bischinger believes that eating the dry remains of what you pull out of your nose is a great way of strengthening the body’s immune system. He explained that in terms of the immune system, the nose is a filter in which a great deal of bacteria are collected, and when this mixture arrives in the intestines it works just like a medicine. He said that “people who pick their nose and eat it get a natural boost to their immune system for free. I would recommend a new approach where children are encouraged to pick their nose. It is a completely natural response and medically a good idea as well”. He went on to suggest that if anyone was worried about what other people think, they should pick their noses privately if they want to get the benefits.  This view is also shared by Dr. Scott Napper, a biochemist at the University of Saskatchewan. He theorises that hygiene improvement has led to the increase in allergies and auto-immune disorders and that eating snot may boost the immune system by ingesting small and harmless amounts of germs into the body. The same theory has also been applied to another bad habit – biting fingernails – because again, the act of biting nails introduces germs directly into a person’s orifices.

(5) Daydreaming helps problem solving

Daydreaming is something that can occupy up to one-third of our waking lives and is often viewed as a sign of laziness, inattentiveness and/or procrastination. However, scientific research has shown that the ‘executive network’ in our brain is highly active when we daydream. A study carried out by Professor Kalina Christoff and colleagues and published in the Proceedings of the National Academy of Sciences found activity in numerous brain regions while daydreaming including areas associated with complex problem solving. These brain regions were more active while daydreaming compared to routine tasks. It is believed that when an individual uses conscious thought they can become too rigid and limited in their thinking. The findings suggest that daydreaming is an important cognitive state where individuals turn their attention from immediate tasks to unconsciously think about problems in their lives. Christoff says that “when you daydream, you may not be achieving your immediate goal – say reading a book or paying attention in class – but your mind may be taking that time to address more important questions in your life, such as advancing your career or personal relationships”. In addition to this, Dr. Eric Klinger of the University of Minnesota has argued that daydreaming also serves an evolutionary purpose. When individuals are engaged on one task, daydreaming can trigger reminders of other, concurrent goals so that they do not lose sight of them.

Part 2 of this article will be in the next blog.

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

Further reading

Christoff, K., Gordon, A.M., Smallwood, J., Smith, R., & Schooler, J.W. (2009). Experience sampling during fMRI reveals default network and executive system contributions to mind wandering. Proceedings of the National Academy of Sciences, 106, 8719-872

Fox, K.C., Nijeboer, S., Solomonova, E., Domhoff, G.W., & Christoff, K. (2013). Dreaming as mind wandering: evidence from functional neuroimaging and first-person content reports. Frontiers in Human Neuroscience, 7, 42. doi: 10.3389/fnhum.2013.00412.

Griffiths, M.D. (2005). The therapeutic value of videogames. In J. Goldstein & J. Raessens (Eds.), Handbook of Computer Game Studies (pp. 161-171). Boston: MIT Press.

Griffiths, M.D., Kuss, D.J., & Ortiz de Gortari, A. (2013). Videogames as therapy: A review of the medical and psychological literature. In I. M. Miranda & M. M. Cruz-Cunha (Eds.), Handbook of research on ICTs for healthcare and social services: Developments and applications (pp.43-68). Pennsylvania: IGI Global.

Hirano, Y., Obata, T., Takahashi, H., Tachibana, A., Kuroiwa, D., Takahashi, T., … & Onozuka, M. (2013). Effects of chewing on cognitive processing speed. Brain and Cognition, 81, 376-381.

Kato, P. M., Cole, S. W., Bradlyn, A. S., & Pollock, B. H. (2008). A video game improves behavioral outcomes in adolescents and young adults with cancer: A randomized trial. Pediatrics, 122, E305-E317.

Klinger, E. (2009). Daydreaming and fantasizing: Thought flow and motivation. In Markman, K. D., Klein, W.P., & Suhr, J.A. (Eds.), Handbook of Imagination and Mental Simulation (pp. 225-239). New York: Psychology Press.

Klinger, E., Henning, V. R., & Janssen, J. M. (2009). Fantasy-proneness dimensionalized: Dissociative component is related to psychopathology, daydreaming as such is not. Journal of Research in Personality, 43, 506-510.

Kubo, K. Y., Chen, H., & Onozuka, M. (2013). The relationship between mastication and cognition. In Wang, Z. & Inuzuka (Eds.), Senescence and Senescence-Related Disorders. InTech. Located at: http://www.intechopen.com/books/senescence-and-senescence-related-disorders

Levine, J.A. (2004). Nonexercise activity thermogenesis (NEAT): environment and biology. American Journal of Physiology-Endocrinology And Metabolism, 286, E675-E685.

Levine, J.A., Melanson, E. L., Westerterp, K. R., & Hill, J.O. (2001). Measurement of the components of nonexercise activity thermogenesis. American Journal of Physiology-Endocrinology and Metabolism, 281, E670-E675.

Levine, J.A., Schleusner, S. J., & Jensen, M.D. (2000). Energy expenditure of nonexercise activity. American Journal of Clinical Nutrition, 72, 1451-1454.

Redd, W.H., Jacobsen, P.B., DieTrill, M., Dermatis, H., McEvoy, M., & Holland, J.C. (1987). Cognitive-attentional distraction in the control of conditioned nausea in pediatric cancer patients receiving chemotherapy. Journal of Consulting and Clinical Psychology, 55, 391-395.

Reichlin, L., Mani, N., McArthur, K., Harris, A.M., Rajan, N., & Dacso, C.C. (2011). Assessing the acceptability and usability of an interactive serious game in aiding treatment decisions for patients with localized prostate cancer. Journal of Medical Internet Research, 13, 188-201.

Vasterling, J., Jenkins, R.A., Tope, D.M., & Burish, T.G. (1993). Cognitive distraction and relaxation training for the control of side effects due to cancer chemotherapy. Journal of Behavioral Medicine, 16, 65-80.

Wighton, K. (2013). From biting your nails to burping and even eating in bed: The bad habits that can be GOOD for you! Daily Mail, April 8. Located at: http://www.dailymail.co.uk/health/article-2305953/Bad-habits-From-biting-nails-burping-eating-bed-The-bad-habits-GOOD-you.html

Loyal ascent: Player retention and social responsibility in the online gambling industry

Although I have spent nearly 30 years researching problem gambling, I am not (and have never been) anti-gambling. My research colleagues who work in the field of alcoholism are never considered anti-drinking so I don’t think I am in any way hypocritical. I also help various gaming companies in terms of harm minimization, social responsibility, and player protection – particularly those in the online gambling sector. In today’s blog I briefly outline five important factors that I believe are critical to online player acquisition and retention based on a combination of my own psychological research and my many years of researching the psychology of gambling. These are (i) branding, (ii) trust, (iii) reputation management and enhancement, (iv) company identification with the player, and (v) social responsibility.

Branding – Every great brand has an outstanding feature at its heart. A product also needs time and to be promoted and communicated consistently to become a brand. Repetition appears to be one of the keys to establishing brand success. Online gambling sites often get bad press and are often viewed as unsafe and risky places. Negative press and enough negative feedback from customers can bring the brand into disrepute.

Trust – What really determines a brand – and this is especially important in the online gambling arena – is trust. Trust is of paramount importance in e-commerce generally, and in getting people to gamble online more specifically. Without trust, the spending of money online is unlikely. Players will be more likely to gamble online with those companies that are well established than a little known company operating out of the Caribbean. It has been claimed that successful brands have a ‘trustmark’ rather than a trademark. With the embedding of regulatory and problem gambling regimes, a ‘trustmark’ is an apt gauge for social acceptability and social responsibility. However, getting transferability and connections across brands in the ‘mainstream’ is probably the key issue.

For many Internet gambling operators, the mechanism to establish trust has been to pursue a ‘clicks and mortar’ approach of combining an offline presence (and brand recognition) with online presence. ‘Trustmarks’ are thought to be one of the major reasons why consumers prefer one particular product to other non-familiar ones. They communicate that customers have not been let down by the product and they can reduce anxiety by using it. At the heart of gambling there will always be the underlying fact that in the long run, most players lose. Whichever way the gaming industry plays out this truism, the general situation of players mostly losing represents an underlying negativity that competes with the wit and innovation of demonstrating that the minority of real long-term winners are the central focus and purpose of participating. This is one of the main reasons why trust becomes so important.

Reputation management and enhancement – It was once argued that the Internet would provide a level playing field for small and large retailer alike. However, given the need to establish trust, it would seem that organisations with a good existing offline reputation are at an advantage. Research into online purchasing of books and flight bookings show that the perceived size and reputation of the company determines consumers’ likelihood of purchasing from it. The reason for this is that increased size and reputation led to higher trust, which in turn influences the perception of risk and the willingness to buy.

Recent psychological thinking proposes a three stage model for understanding how people assess the trustworthiness of a website. The first stage assumes that people are faced with a large number of potential websites and thus engage in rapid, heuristic-based analysis based on the design of the site, rather than the content. During the second stage, people engage in a more systematic analysis of the content of the site, and it is during this stage that people are influenced by apparent integrity, benevolence and expertise. The third stage is a relationship development and integration stage, that is, people’s continued use of a site, personalization and the integration of experience.

Trust is an historical concept because customers need repeated interactions coupled with good feelings to build it. Branding experts claim it takes at least three years to establish the feeling of goodwill among consumers. The good news for companies – including the gaming industry – is that customers do not have to have experienced the product. Customers might engage in things because others have used or engaged in the product for years. Although little studied in empirical gambling investigations, trust is thought to be an important variable in both the initial decision to gamble and the maintenance of the behaviour. In a study of nearly 11,000 carried out by our gaming research unit, four-fifths of Internet gamblers (79%) considered the Internet a trustworthy medium of gambling. However, most Internet gamblers (90%) preferred to gamble on websites of well-known and trusted ‘high street’ bookmakers.

Company identification with the player – One of the most important things about brands for the gaming industry is that they help consumers define their self-image and who they are – at least on some psychological level. For some people, this ‘personal branding’ may be more important than their social identities within a community. For example, the car they drive or the newspaper they read, are particularly strong cultural indicators of what sort of person they are. Where they gamble and on what games can be an extension of this. However, total trust acceptance may also lead to an uncritical assessment of acceptability by the punter. For instance, some trusted non-gambling websites now provide links and endorsements to either their own gambling sites, or those of affiliates. Our gaming research unit  highlighted a case of an online problem gambler who had been led to an online gambling site by watching a popular (and trusted) daytime television programme that promoted its own online gaming site.

Social responsibility – As mentioned above, ‘trustmarks’ are likely to be important in relation to social responsibility and the perception of it by players. In studies conducted by our gaming research unit with online gamblers around the world, we found that many of them felt that responsible gaming practises demonstrate that a gaming operator has integrity, and that they care about their players’ wellbeing. For instance, many online poker players did not want their winnings to come from players who could not afford to lose it. They reported that responsible gaming practises allowed them to feel comfortable that their winnings had not come from people with gambling problems. Given that one of the biggest obstacles that prevent people playing online is a lack of trust of operators, this is a significant and important finding that gaming operators should take not of. 

For me, all of these five factors are highly inter-linked. However, I believe that those who end up being the most successful online gaming companies will be the ones with the best social responsibility protocols and infrastructure, and that this will engender trust among its clientele.

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

Further reading

Auer, M. & Griffiths, M.D. (2013). Behavioral tracking tools, regulation and corporate social responsibility in online gambling. Gaming Law Review and Economics, 17, 579-583.

Auer, M., Littler, A. & Griffiths, M.D. (2015). Legal aspects of responsible gaming pre-commitment and personal feedback initiatives. Gaming Law Review and Economics, 6, 444-456.

Griffiths, M.D. (2007). Brand psychology: Social acceptability and familiarity that breeds trust and loyalty. Casino and Gaming International, 3(3), 69-72.

Griffiths, M.D. (2008). Online trust and Internet gambling. World Online Gambling Law Report, 8(4), 14-16.

Griffiths, M.D. (2010). Social responsibility and trust in online gambling: Six steps to success. i-Gaming Business, 61, 36-37.

Griffiths, M.D. (2012). Internet gambling, player protection and social responsibility. In R. Williams, R. Wood & J. Parke (Ed.), Routledge Handbook of Internet Gambling (pp.227-249). London: Routledge.

Griffiths, M.D. & Wood, R.T.A. (2008). Responsible gaming and best practice: How can academics help? Casino and Gaming International, 4(1), 107-112.

Griffiths, M.D. & Wood, R.T.A. (2009). Centralised gaming models and social responsibility. Casino and Gaming International., 5(2), 65-69.

Griffiths, M.D., Wood, R.T.A., Parke, J. & Parke, A. (2007). Gaming research and best practice: Gaming industry, social responsibility and academia. Casino and Gaming International, 3(3), 97-103.

Griffiths, M.D. & Wood, R.T.A. (2009). Centralised gaming models and social responsibility. Casino and Gaming International., 5(2), 65-69.

Wood, R.T.A. & Griffiths. M.D. (2008). Why Swedish people play online poker and factors that can increase or decrease trust in poker websites: A qualitative investigation. Journal of Gambling Issues, 21, 80-97.

Playing the field: Another look at Internet Gaming Disorder

Research into online addictions has grown considerably over the last two decades and much of it has concentrated on problematic gaming, particularly MMORPGs (Massively Multiplayer Online Role-Playing Games). In the latest (fifth) edition of the Diagnostic and Statistical Manual of Mental Disorders (DSM-5; American Psychiatric Association, 2013), Internet Gaming Disorder (IGD) (also commonly referred in the literature as problematic gaming and gaming addiction) was included in Section 3 (‘Emerging Measures and Models’) as a promising area that needed future research before being included in the main section of future editions of the DSM.

The DSM-5 proposed nine criteria for IGD (of which five or more need to be endorsed over the period of 12 months and result in clinically significant impairment to be diagnosed as experiencing IGD). More specifically the criteria include (1) preoccupation with games; (2) withdrawal symptoms when gaming is taken away; (3) the need to spend increasing amounts of time engaged in gaming, (4) unsuccessful attempts to control participation in gaming; (5) loss of interest in hobbies and entertainment as a result of, and with the exception of, gaming; (6) continued excessive use of games despite knowledge of psychosocial problems; (7) deception of family members, therapists, or others regarding the amount of gaming; (8) use of gaming to escape or relieve a negative mood;  and (9) loss of a significant relationship, job, or educational or career opportunity because of participation in games.

There is no agreement on the prevalence of IGD as the vast majority of studies have surveyed non-representative self-selected samples using over 20 different screening instruments. A review of problematic gaming prevalence studies that I published with Orsi Király, Halley Pontes, and Zsolt Demetrovics (in the 2015 book Mental Health in the Digital Age: Grave Dangers, Great Promise) reported a large variation in the prevalence rates (from 0.2% up to 34%). However, we noted that there were many factors that could have accounted for the wide variation in prevalence rates including the type of gaming examined (i.e., some studies just examined online gaming, whereas others examined console gaming or a mixture of both), sample size, participants’ age range, participant type (i.e., some surveyed the general population while others assessed gamers only), and instruments used to assess gaming.

There have been a handful of studies that have reported the prevalence of IGD using nationally representative samples. The prevalence rates reported were 8.5% of American youth aged 8–18 years, 1.2% of German adolescents aged 13-18 years, 5.5% among Dutch adolescents aged 13-20, and 5.4% among Dutch adults, 4.3% of Hungarian adolescents aged 15-16 years, 1.4% of Norwegian gamers, and 1.6% of European youth from seven countries aged 14-17 years.

There are now over 20 different screening instruments including a number of new ones specifically incorporating the IGD criteria (including a number that I have co-developed with Halley Pontes). The multiplicity of problematic gaming screens remains a key challenge in the field and partially reflects the lack of consensus in terms of the assessment of the phenomenon. A comprehensive 2013 review that I published with Daniel King and others in Clinical Psychology Review examined the criteria of 18 problematic gaming screens. The 18 screens had been utilized in 63 quantitative studies (N=58,415 participants). The main weaknesses identified were (i) inconsistency of core addiction indicators across studies, (ii) a general lack of any temporal dimension, (iii) inconsistent cutoff scores relating to clinical status, (iv) poor and/or inadequate inter-rater reliability and predictive validity, and (v) inconsistent and/or untested dimensionality. We also questioned the appropriateness of certain screens for certain settings, because those used in clinical practice may require a different emphasis than those used in epidemiological, experimental, or neurobiological research settings.

Research into IGD is needed from clinical, epidemiological, and neurobiological aspects of IGD. There has been an increasing number of neurobiological studies on IGD and a 2014 meta-analysis by Dr. Y. Meng and colleagues in Addiction Biology of 10 neuroimaging studies investigating the functional brain response to cognitive tasks from IGD using quantitative effect size signed differential mapping meta-analytic methods. found reliable clusters of abnormal activation in IGD within the regions comprising the bilateral medial frontal gyrus/cingulate gyrus, the left middle temporal gyrus and fusiform gyrus when compared to healthy controls. The same review also found that greater amounts of time spent per week playing was associated with hyper-activity in the left medial frontal gyrus and the right cingulate gyrus. Despite the useful findings reported, one of the major limitations of this meta-analysis was that 90% of the studies reviewed were conducted in Asian countries or regions, which might be problematic since prevalence rates of IGD in these populations are usually inflated compared to prevalence rates reported in Western countries. Furthermore, a systematic review of neuroimaging studies examining Internet addiction (IA) and IGD by Daria Kuss and myself in the journal Brain Sciences concluded 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”

Over the last decade, a number of studies have investigated the association between IGD (and its derivatives) and various personality and comorbidity factors. Our recent review in the book Mental Health in the Digital Age: Grave Dangers, Great Promise summarized the research examining the relationship between personality traits and IGD. Empirical studies have shown IGD to be associated with (i) neuroticism, (ii) aggression and hostility, (iii) avoidant and schizoid tendencies, loneliness and introversion, (iv) social inhibition, (v) boredom inclination, (vi) sensation-seeking, (vii) diminished agreeableness, (viii) diminished self-control and narcissistic personality traits, (ix) low self-esteem, (x) state and trait anxiety, and (xi) low emotional intelligence. However, we noted that it was difficult to assess the aetiological significance of such associations because these personality factors are not unique to problematic gaming. Our review also reported that IGD had been associated with various comorbid disorders, including (i) attention deficit hyperactivity disorder, (ii) symptoms of generalized anxiety disorder, panic disorder, depression, and social phobia, and (iii) various psychosomatic symptoms.

According to a 2013 editorial in the journal Addiction, Nancy Petry and Charles O’Brien (2013), IGD will not be included as a separate mental disorder in future editions of the DSM 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) aetiology and associated biological features have been evaluated.

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

Please note: Additional input from Daria Kuss and Halley Pontes

Further reading

Gentile, D. (2009). Pathological video-game use among youth ages 8–18: A national study. Psychological Science, 20(5), 594-602. doi: 10.1111/j.1467-9280.2009.02340.x

Griffiths, M.D., Van Rooij, A., Kardefelt-Winther, D., Starcevic, V., Király, O…Demetrovics, Z. (2016). Working towards an international consensus on criteria for assessing Internet Gaming Disorder: A critical commentary on Petry et al (2014). Addiction, 111, 167-175.

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. doi: 10.2217/npy.13.82

Griffiths, M. D., Király, O., Pontes, H. M., & Demetrovics, Z. (2015). An overview of problematic gaming. In E. Aboujaoude & V. Starcevic (Eds.), Mental Health in the Digital Age: Grave Dangers, Great Promise (pp. 27-45). Oxford: Oxford University Press. doi: 10.1093/med/9780199380183.003.0002

Griffiths, M. D., & Pontes, H. M. (2014). Internet Addiction Disorder and Internet Gaming Disorder are not the same. Journal of Addiction Research & Therapy, 5(4), e124. doi: 10.4172/2155-6105.1000e124

Griffiths, M. D., & Szabo, A. (2014). Is excessive online usage a function of medium or activity? An empirical pilot study. Journal of Behavioral Addictions, 3(1), 74-77. doi: 10.1556/JBA.2.2013.016

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(3), 331-342. doi: 10.1016/j.cpr.2013.01.002

Király, O., Griffiths, M. D., & Demetrovics, Z. (2015). Internet Gaming Disorder and the DSM-5: Conceptualization, debates, and controversies. Current Addiction Reports, 2(3), 254-262. doi: 10.1007/s40429-015-0066-7

Király, O., Griffiths, M. D., Urbán, R., Farkas, J., Kökönyei, G., Elekes, Z., Tamás, D., & Demetrovics, Z. (2014). Problematic internet use and problematic online gaming are not the same: Findings from a large nationally representative adolescent sample. Cyberpsychology, Behavior, and Social Networking, 17(12), 749-754. doi: 10.1089/cyber.2014.0475

Király, O., Sleczka, P., Pontes, H. M., Urbán, R., Griffiths, M. D., & Demetrovics, Z. (2016). Validation of the ten-item Internet Gaming Disorder Test (IGDT-10) and evaluation of the nine DSM-5 Internet Gaming Disorder criteria. Addictive Behaviors. doi: 10.1016/j.addbeh.2015.11.005

Kuss, D. J., & Griffiths, M. D. (2015). Internet addiction in psychotherapy. London: Palgrave.

Kuss, D. J., & Griffiths, M. D. (2012). Internet and gaming addiction: A systematic literature review of neuroimaging studies. Brain Sciences, 2(3), 347-374. doi: 10.3390/brainsci2030347

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(25), 4026-4052. doi: 10.2174/13816128113199990617

Lemmens, J. S., Valkenburg, P. M., & Gentile, D.A. (2015). The Internet Gaming Disorder Scale. Psychological Assessment, 27(2), 567-582. doi: 10.1037/pas0000062

Meng, Y., Deng, W., Wang, H., Guo, W., & Li, T. (2014). The prefrontal dysfunction in individuals with Internet Gaming Disorder: A meta-analysis of functional magnetic resonance imaging studies. Addiction Biology, 20(4), 799-808. doi: 10.1111/adb.12154

Müller, K. W., Janikian, M., Dreier, M., Wölfling, K., Beutel, M. E., Tzavara, C., Richardson, C., & Tsitsika, A. (2015). Regular gaming behavior and internet gaming disorder in European adolescents: results from a cross-national representative survey of prevalence, predictors, and psychopathological correlates. European Child and Adolescent Psychiatry, 24(5), 565-574. doi: 10.1007/s00787-014-0611-2

Petry, N. M., & O’Brien, C. P. (2013). Internet gaming disorder and the DSM-5. Addiction 108(7), 1186–1187. doi: 10.1111/add.12162

Pontes, H. M., & Griffiths, M. D. (2015). New concepts, old known issues: The DSM-5 and Internet Gaming Disorder and its assessment. In J. Bishop (Ed.), Psychological and Social Implications Surrounding Internet and Gaming Addiction (pp. 16-30). Hershey, PA: Information Science Reference. doi: 10.4018/978-1-4666-8595-6.ch002

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. doi: 10.1016/j.chb.2014.12.006

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. doi: 10.1016/j.abrep.2015.03.002

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. M., Kuss, D. J., & Griffiths, M. D. (2015). Clinical psychology of Internet addiction: a review of its conceptualization, prevalence, neuronal processes, and implications for treatment. Neuroscience and Neuroeconomics, 4, 11-23. doi: 10.2147/NAN.S60982

Rehbein, F., Kliem, S., Baier, D., Mößle, T., & Petry, N. M. (2015). Prevalence of Internet Gaming Disorder in German adolescents: Diagnostic contribution of the nine DSM-5 criteria in a state-wide representative sample. Addiction, 110(5), 842–851. doi: 10.1111/add.12849

Thomas, N., & Martin, F. (2010). Video-arcade game, computer game and Internet activities of Australian students: Participation habits and prevalence of addiction. Australian Journal of Psychology. 62(2), 59-66. doi: 10.1080/00049530902748283

van Rooij, A. J., Schoenmakers, T. M., & van de Mheen, D. (2015). Clinical validation of the C-VAT 2.0 assessment tool for gaming disorder: A sensitivity analysis of the proposed DSM-5 criteria and the clinical characteristics of young patients with ‘video game addiction’. Addictive Behaviors. doi: 10.1016/j.addbeh.2015.10.018

Wittek, C. T., Finserås, T. R., Pallesen, S., Mentzoni, R. A., Hanss, D., Griffiths, M. D., & Molde, H. (2015). Prevalence and predictors of video game addiction: A study based on a national representative sample of gamers. International Journal of Mental Health and Addiction, 1-15. doi: 10.1007/s11469-015-9592-8

Young, K.S. (1999). Internet addiction: Symptoms, evaluation and treatment. Innovations in clinical practice: A source book, (Vol. 17; pp. 19-31). Sarasota, FL: Professional Resource Press.

The punch bunch: Aggressive behaviour in adult slot machine gamblers

I was idly looking through some of the academic papers I have published over the last 25 years and I was surprised by how a fair number of them examined aggressive behaviour in some way. Many of these concern the effect of video game violence on aggressive behaviour but I have also published papers examining sexual orientation and aggression, mindfulness and aggression, and gambling and aggression (see ‘Further Reading’ below for a selection of these).

Back when I was doing my PhD on slot machine addiction (1987-1990) I spent a lot of my time in amusement arcades watching fruit machine players. One thing that I noticed during my observational studies is how physically aggressive players could be when they lost (such as kicking or punching the machine if they lost a lot of money or being verbally aggressive towards staff and other players when things weren’t going the way they wanted). A number of studies have reported a link between gambling and aggressive behaviour although most of the research has concentrated on domestic violence between gamblers and their partners (i.e., problem gamblers taking out the frustration of losing lots of money on their partners).

In a paper in a 2005 issue of the Journal of Community and Applied Social Psychology, Dr. Adrian Parke and I speculated that there are two main types of aggressive act which are prevalent in slot machine gambling based on environmental and structural design factors – instrumental aggression and emotional aggression. Instrumental aggression differs from emotional aggression because there is an ulterior motive behind the act whereas emotional aggression is a result of being unpleasantly aroused. The Frustration-Aggression theory states that a barrier to expected goal attainment generates emotional aggression. Furthermore, the level of aggression is directly proportional to the (i) level of satisfaction they had expected, (ii) more they are prevented from achieving any of their goals and (iii) more often their attempts are resisted. Psychologists such as Dr. Leonard Berkowitz maintains that it is not the frustration that causes the aggressive urges, but the negative affect elicited by the frustration.

Dr. Parke and I also published some other papers on slot machine aggression during 2004 and 2005 in the International Journal of Mental Health and Addiction and Psychological Reports. We carried out a non-participant observation study and monitored the incidence of aggressive behaviour in 303 slot machine players over four 6-hour observation periods in a UK amusement arcade. We concluded that aggression was prevalent in the UK gambling arcade environment with an average of seven aggressive incidents per hour.

We also reported that the majority of aggressive incidents were verbal. Verbal aggression was directed towards members of staff, other gamblers and also the slot machines themselves. Verbal aggression towards members of staff, from an objective point of view, appeared to be caused by a misinterpretation of staff reactions towards incurred losses. With cues available to determine which slot machine will be profitable to play, selecting a machine with which the gambler incurs a loss can be interpreted as poor slot machine gambling skill. The psychologists Dr. Brad Bushman and Dr. Roy Baumeister argue that threatened egotism (an explicit dispute against one’s self value) is a strong risk factor for aggression reprisal. It is probable that in this situation the gamblers were motivated to rebuke such evaluations through an affrontive reprimand. For example:

“After losing all of the money he entered the premises with, participant 6 becomes verbally aggressive to an arcade staff member: ‘I should bring a bat into this place and break the fucking machine…What would you do? You wouldn’t have the balls to call the police.” (Parke & Griffiths, 2005; p. 53)

Given the apparent disproportionate aggressive reaction to minor provocation from staff members, there is scope to propose that rather than being a primary source of frustration and aggression, the phenomenon is evidence of Triggered Displaced Aggression. Displaced Aggression theory contends that individuals who are provoked but who are constrained against retaliating directly to the primary source may displace such anger onto unaccountable individuals. Triggered Displaced Aggression theory extends this position, by stating that after a preclusion of direct retaliation against the provocateur, minor triggers will produce an incommensurate level of aggression. Applying this theory to the phenomenon of verbal aggression towards staff members, it is probable that the gambler while frustrated and negatively aroused may be motivated to displace disproportionately high aggressive reactions onto staff members based on minor triggers such as amusement at incurred losses.

We also reported that verbal aggression directed towards other slot machine gamblers was probably a response to predatory play from opposing slot machine gamblers. With structural design factors enabling identification of slot machines that are profitable to play, naturally the environment becomes competitive. Gamblers become callous in their machine selection because the most effective way to make profits is to target machines that other gamblers have lost considerably on. Again, for the individual, self-esteem is likely to be diminished by permitting opponents to profit from experiencing loss. As a result it is probable that attempts are made to deflect such predatory behaviour with aggressive reprimands. For example:

“Participant 3 had gambled a considerable amount of money on one machine, and had no funds to continue playing. Participant 4 immediately began to play the same machine and win. Participant 3 retorted in an aggressive tone: ‘You watching me lose my money before. Wait till I lose everything and then play mate?’” (Parke & Griffiths, 2005; p.54)

Verbal aggression towards other slot machine gamblers could be understood from perspective of the Cognitive Neo-associationistic Model. (Fundamentally, this model suggests that aversive events produce negative affect, which transforms all associated stimuli into potential triggers of aggression). Applying this theory to the verbal aggression phenomenon, it is reasonable to propose that the experience of losing transforms environmental factors, such as opposing gamblers, into sources of aggression. Berkowitz has advocated two tiers of aggression activation. The first stage is simultaneous emotions of rudimentary fear and anger. The second stage is a second order evaluative phase where the individual considers the actual liability of environmental factors in anger creation. Naturally, as Berkowitz states, the individual’s attributional processes dictate whether they will actualise aggressive emotions. Put simply, an acknowledgement of the ability to isolate slot machines that are profitable to play based on identifying losing gamblers, is potentially a risk factor for acting aggressively towards other gamblers.

Finally, verbal aggression towards the slot machine is considered to be an emotionally aggressive act as a means to vent frustration rather than instrumentally preserve status as suggested above. Invariably, verbal emotional aggression was expressed through vilification and attribution of negative human characteristics to the machine such as sadism. Interestingly, such vilification was primarily sexually aggressive and constituted a feminisation of the slot machine. For example:

“This bitch is fucking me around…Are you going to fuck me around again this week?” (Parke & Griffiths, 2005; p.54)

We argued that the physical aggression towards the slot machine was believed to be an extension of tension release that was previously observed with verbal aggression towards the slot machine. For example:

“After considerable losses, Participant 8 began to slam the glass of the machine. After experiencing a near miss Participant 8 subsequently kicked the base of the machine.” (Parke & Griffiths, 2005; p.55)

Physical aggression was not directed towards opposing gamblers – perhaps identifying a boundary of conduct in order to remain within the gambling environment, as it was probable that such behaviour would result in getting thrown out of the premises. Essentially this does not equate to gamblers not be motivated to act physically aggressive to other slot machine gamblers, rather it only represents a reluctance to actualise such behaviour in the gambling environment.

It is probable that aggressive behaviour observed in the slot machine gambling environment is not solely based on structural and environmental factors. Individual differences of the gamblers are likely to affect the prevalence of aggressive behaviour, based on propositions of the General Aggression Model that suggests that trait hostility can develop through life experiences. It is possible that the participants in our observational study held aggression-related biases. For example, Dr. Karen Dill and her colleagues argue that trait hostility precipitates a hostile expectation bias (the expectation that aggressive behaviour will be used by others instrumentally) and a hostile perception bias (the propensity of interpreting interpersonal interactions as aggressive). For gamblers, it is probable that trait hostility is exacerbating aggressive reactions towards provocation from environmental and structural game design factors. Overall, our research concluded that gambling-induced aggression is a manifestation of the underlying conflict of engaging in dysfunctional behaviour while consciously acknowledging its detrimental effects.

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

Additional input: Dr. Adrian Parke (University of Lincoln, UK)

Further reading

Anderson, C.A. & Bushman, B.J. (2002). Human Aggression. Annual Review of Psychology, 53, 27-51.

Berkowitz, L. (1993). Aggression: Its causes, consequences, and control. Philadelphia: Temple University Press.

Berkowitz, L. (1989). The frustration-aggression hypothesis: Examination and reformulation. Psychological Bulletin, 106, 59-73.

Berkowitz, L. (1990). On the formation and regulation of anger and aggression: A cognitive-neoassociationistic analysis. American Psychologist, 45, 494-505.

Bushman, B. J. & Baumeister, R. F. (1998). Threatened egotism, narcissism, self-esteem, and direct and displaced aggression: Does self-love or self-hate lead to violence. Journal of Personality and Social Psychology, 75, 219-229.

Dill, K.E., Anderson, C.A., Anderson, K.B. & Deuser, W.E. (1997). Effects of personality on social expectations and social perceptions. Journal of Research in Personality, 31, 272-292.

Dollard, J., Doob, L.W., Miller, N.E., Mowrer, O.H. & Sears, R.R. (1939). Frustration and Aggression. New Haven, Connecticut: Yale University Press.

Griffiths, M.D. (1997). Video games and aggression. The Psychologist: Bulletin of the British Psychological Society, 10, 397-401.

Griffiths, M.D. (1998). Video games and aggression: A review of the literature. Aggression and Violent Behavior, 4, 203-212.

Griffiths, M.D., Parke, A. & Parke, J. (2003). Violence in gambling environments: A cause for concern? Justice of the Peace, 167, 424-426.

Griffiths, M.D., Parke, A. & Parke, J. (2005). Gambling-related violence: An issue for the police? Police Journal, 78, 223-227.

Grüsser, S.M., Thalemann, R. & Griffiths, M.D. (2007). Excessive computer game playing: Evidence for addiction and aggression? CyberPsychology and Behavior, 10, 290-292.

Mehroof, M. & Griffiths, M.D. (2010). Online gaming addiction: The role of sensation seeking, self-control, neuroticism, aggression, state anxiety and trait anxiety. Cyberpsychology, Behavior, and Social Networking, 13, 313-316.

Miller, N. Pederson, W.C., Earleywine, M. & Pollock, V.E. (2003). A theoretical model of triggered displaced aggression, Personality and Social Psychology Review, 7, 75-97.

Miller, N.E. (1941). The frustration-aggression hypothesis. Psychological Review, 48, 337-342.

Parke, A. & Griffiths, M.D. (2004). Aggressive behavior in slot machine gamblers : A preliminary observational study. Psychological Reports, 95, 109-114.

Parke, A. & Griffiths, M.D. (2005). Aggressive behaviour in adult slot machine gamblers: A qualitative observational study. International Journal of Mental Health and Addiction, 2, 50-58.

Parke, A. & Griffiths, M.D. (2005). Aggressive behaviour in adult slot machine gamblers: An interpretative phenomenological analysis. Journal of Community and Applied Social Psychology, 15, 255-272.

Sergeant, M.J.T., Dickins, T.E., Davies, M.N.O., & Griffiths, M.D. (2006). Aggression, empathy and sexual orientation in males. Personality and Individual Differences, 40, 475-486.

Shonin, E.S., van Gordon, W., Slade, K. & Griffiths, M.D. (2013). Mindfulness and other Buddhist-derived interventions in correctional settings: A systematic review. Aggression and Violent Behavior, 18, 365-372.

Money for nothing (and your clicks for free?): Why do gamers buy ‘virtual assets’?


Video gaming has evolved from a single-player platform to a multi-player realm where interaction with other players is often a necessity. In order to enter the game, players must first create an avatar, a representation of their self in the game that is used to explore and interact with the virtual environment. When creating an avatar, players can also buy virtual assets to augment and/or enhance their online character. Virtual assets are items or customisations for video game avatars, bases, and characters that are purchased with real money.

In a previous blog, I looked at some of the anecdotal evidence that claimed a few individuals had become ‘addicted’ to buying virtual assets. At the time I wrote that article, there was almost nothing published academically on the psychology of virtual assets and why people bought virtual assets. A few months ago, Jack Cleghorn and I published a qualitative paper in the journal Digital Education Review based on our interviews with gamers that regularly bought virtual assets. Today’s blog looks at some of our findings.

For researchers, the buying of virtual assets provides an opportunity to try and understand why people become so immersed in games and what motivates gamers to spend real money on items that some would consider as having no value. In a multi-player environment, it becomes clear that the avatars seen on screen are graphical representations of someone real and may be part of human desires to be noticed, respected, and interacted with. Furthermore the gamer controlling their avatar has motivations, emotions, thoughts, and feelings. Virtual item purchases are therefore likely to impact on a gamer’s psychological wellbeing.

The growing market for virtual items indicates that transactions are becoming commonplace in gaming. The virtual market functions similarly to real markets in that there is demand, fluctuating markets, and profits to be made. The importance of virtual items to some people is illustrated by a divorce claim in a story on Hyped Talk in which a wife made a claim for over half of her husband’s virtual assets. In a different case (outlined in a 2005 issue of The Lawyer), Qiu Chengwei, a middle-aged man killed a fellow gamer over a dispute involving a virtual item. Obviously these cases are extreme but they highlight the fact that virtual items can have both financial and psychological value for gamers.

But why do people buy virtual items? Performance and general quality of an item is seen to be an important motivation whether the item is real or virtual. Online, an appeal to social status may be a better predictor for purchase behaviour than function. However, some claim that appealing to social status has no motivational significance in purchase behaviour. Another unique element of buying virtual items is the potential exclusivity. Exclusive or limited items tend to be unattainable through gameplay and instead must be bought with money. Exclusivity online has been shown to be of importance, and segmentation is a technique used by the games producers that limits certain items to certain classes, levels, or races. This has been shown to stimulate purchase behaviour. The amount of time invested in a game is also key to understanding spending patterns, and gamers will often buy virtual items after a dedicated amount of gameplay has been spent building an avatar.

Naturally, the longer the amounts of time that are spent online and in-game, the more the player emotionally and psychologically invests in the game. The concept of ‘flow’ (formulated by Mihaly Csikszentmihalyi in many papers and books) has been applied to gaming and can involve becoming emotionally attached to a character (in fact I published a paper on this with Damien Hull and Glenn Williams in a 2013 issue of the Journal of Behavioral Addictions). Flow is the feeling of complete absorption in an activity and affects consciousness and emotions of the individual experiencing it. A key element of feeling ‘flow’ is the experience and perception of the world of the avatar and has been applied to electronic media. The adaptation of ‘flow’ to the virtual world suggests that just like other leisure activities, an individual investing time in an environment where they feel socially accepted can become emotionally attached to their avatar. Gaming has been shown to affect consciousness and emotions of gamers that are both necessary in experiencing ‘flow’. It could be that purchasing of virtual items is also motivated – at least in part – by the feeling of emotional attachment to an avatar.

Gamers are being drawn in to an environment by the appeal of social interaction, manipulation of objects, exploration, and identification with the avatar. To some gamers, the virtual world can takes on more significance than ‘actual’ life and residency in their preferred games is what they consider their actuality. This suggests that the reward of gaming is great, indicating that those individuals who buy virtual items are doing so because they feel involved in an environment that benefits them personally.

Given the lack of empirical research, the qualitative study I published with Jack Cleghorn was based on in-depth interviews with six gamers who all regularly bought in-game virtual assets. We examined the (i) motivations for purchasing virtual items, (ii) psychological impact of purchasing virtual items on self-esteem and confidence, (iii) social benefits of gaming and virtual asset purchasing, (iv) emotional attachment to an avatar, (v) choice of items and customisation of the avatar as a form of self-expression, (v) impulsivity versus thoughtfulness in purchase intentions of virtual items, and (vii) impact of transaction machinery on the ‘game experience’ from a gamer’s perspective.

Using interpretative phenomenological analysis (IPA), the study was exploratory and aimed to understand the psychology underlying purchase intention of virtual items and assets among online gamers. As a result of interviewing the gamers, seven theses emerged: (i) motivation for purchase, (ii) social aspects of the gaming and purchasing, (iii) emotional attachment to the avatar, (iv) psychological reward and impact, (v) self-expression, (vi) ‘stock market gaming’ and gaming culture, and (vii) research/impulse buying. The use of IPA allowed each gamer to share their unique experience of playing and purchase behaviour.

Despite the negative aspects of online gaming, the gamers in our study emphasised a more positive side to buying virtual items and gaming more generally. Item exclusivity and item function were major motivating factors and contributed to an item’s importance in-game. Another key motivation for purchase behaviour was the appeal to social status. Attainment of items demonstrates to others how powerful the gamer is. Naturally, if an item has benefits for the avatar it is more likely that the gamer will spend money to obtain it. Function linked to progression, purchasing items, and buying in-game currency are all sometimes a necessity to progress. Novelty and collectability were also important motivators for some of our gamers. Despite subjective motivations, purchasing virtual items arose out of gaming as a predominant pastime. All of the gamers in our sample were dedicated gamers who spent relatively large amounts of time online and, as perhaps expected, larger gaming commitment to led to purchase behaviour.

An integral part of multiplayer gaming is the interaction with other gamers. The feeling of ‘social presence’ in an online environment is reliant on an emotional response to social interaction and the gamers in our study felt social satisfaction. The game sometimes enabled social interaction that might not otherwise be present. Previous research has shown how emotional attachment to games affects behaviour. Our study highlighted the role of emotional attachment to an avatar as a predictor for purchase intention. As well as emotional attachment increasing likelihood of spending, the spending of real money on items increases the attachment felt. It could be that purchasing virtual items may be a cyclical behaviour. It is also the case that purchasing affects the cognitions and emotions of gamers – ‘pride’ was a feeling that resonated among our interviewed gamers.

Our study also highlighted how gamers research items before purchasing them. It might be expected that easy-to-use transaction machinery might facilitate spending. However, in reality, the gamers we interviewed were guarded with their spending online and recommendations from friends playing a major role in purchase behaviour. Virtual assets can be then researched and the placing of real monetary value on the virtual items indicates the value they may hold to the gamer. Unlike media coverage focussing on the more negative impact of online gaming, our study highlighted the positive aspects of purchasing virtual assets for the gamer. They are able to feel connected socially, feel confidence in themselves and their success, express their inner and ideal self without constraint or fear, build lasting relationships, impress people, and generally benefit from gaming and buying virtual items.

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

Further reading

Bowman, N. D., Schultheiss, D., & Schumann, C. (2012). ‘‘I’m attached, and I’m a good guy/gal!’’: How character attachment influences pro- and anti-social motivations to play massively multiplayer online role-playing games. CyberPsychology, Behavior and Social Networking, 15(3), 169-174.

Csikszentmihalyi, M., & Csikszentmihalyi, I. (1992). Optimal experience: Psychological studies of flow in consciousness. Cambridge: Cambridge University Press.

Cole, H. & Griffiths, M. D. (2007). Social interactions in Massively Multiplayer Online Role-Playing gamers. CyberPsychology and Behavior, 10, 575-583.

Griffiths, M. D. (2010). The role of context in online gaming excess and addiction: Some case study evidence. International Journal of Mental Health and Addiction, 8, 119-125.

Griffiths, M.D., Hussain, Z., Grüsser, S., Thalemann, R., Cole, H. Davies, M.N.O. & Chappell, D. (2013). Social interactions in online gaming. In P. Felicia (Ed.), Developments in Current Game-Based Learning Design and Deployment (pp.74-90). Pennsylvania: IGI Global.

Guo, Y., & Barnes, S. (2011). Purchase behavior in virtual worlds: An empirical investigation in Second Life. Information and Management, 48(7), 303-312.

Hamari, J. & Lehdonvirta, V. (2010). Game design as marketing: How game mechanics create demand for virtual goods. International Journal of Business Science and Applied Management, 5(1), 14-29.

Hassouneh, D., & Brengman, M. (2011). Shopping in virtual worlds: Perceptions, motivations and behaviour. Journal of Electronic Commerce Research, 12(4), 320-335.

Huang, E. (2012). Online experiences and virtual goods purchase intention. Internet Research, 22(3), 252-274.

Hull, D., Williams, G. A. & Griffiths, M. D. (2013). Video game characteristics, happiness and flow as predictors of addiction among video game players: A pilot study. Journal of Behavioral Addictions, 2, 145-152.

Hyped Talk (2010). Virtually addicted Chinese woman claims virtual assets in her divorce plea. Available at: http://hypedtalk.blogspot.co.uk/2010/12/virtually-addicted-chinese-women-claims.html [Accessed: 6 March 2013].

Lee, P. (2005). The growth in the computer game market is leading to real legal issues in virtual worlds. The Lawyer, 19 (19), 14.

Lehdonvirta, V. (2009) Virtual item sales as a revenue model: Identifying attributes that drive purchase decisions. Electronic Commerce Research, 9(1-2), 97-113.

Li, Z. (2012). Motivation of virtual goods transactions based on the theory of gaming motivations. Journal of Theoretical and Applied Information Technology, 43(2), 254-260.

Manninen, T. & Kujanpää, T. (2007). The value of virtual assets – the role of game characters in MMOGs. International Journal of Business Science and Applied Management, 2(1), 21-33.

Choking aside: Another look at self-asphyxial risk-taking behaviour in adolescence

In a previous blog I examined the ‘choking game’ (also known by dozens of names including the ‘fainting game’ and ‘suffocation roulette’). This was a game that I played a couple of times as an adolescent (although we called it ‘Headrush’). This was a game where I would have my breathing temporarily stopped by someone holding onto my chest after a deep expiration and hyperventilation (so that I could not breathe). It induced feelings of light-headedness and dizziness followed by temporary unconsciousness (usually lasting 10 to 15 seconds).

This activity that I engaged in as a teenager is an example of self-asphyxial risk-taking behaviour (SARTB). It also appears that what I did when I was an adolescent was a form of ‘self-induced hypocapnia’ (i.e., a state of reduced carbon dioxide in the blood). It has also been reported that these ‘games’ can be played alone and typically involve self-strangulation, or sometimes with others, and where like my own experiences, the cutting off of the oxygen supply was carried out by somebody else.

Reports of SARTB date back to the early 1950s in the medical literature (for instance, Dr. P. Howard and his colleagues reported a case in a 1951 issue of the British Medical Journal). SARTB has been defined by R.L. Toblin and colleagues in a 2008 issue of the Journal of Safety Research as self-strangulation or strangulation by another person with the hands or a noose to achieve a brief euphoric state caused by cerebral hypoxia. As with autoerotic asphyxiation (i.e., suffocation as a way of enhancing sexual arousal), the aim of SARTB is to intentionally cut off the oxygen supply to the brain to experience a feeling of euphoria (the only difference being that in children’s games, it is not done for a sexual reason).

How prevalent the activity is debatable as most of the academically published studies are case reports (usually when a problem – and in some cases, death – has occurred). However, a comprehensive systematic review of SARTB was recently published by Busse et al (2015). They attempted to assess the prevalence of engagement in SARTB and associated morbidity and mortality in children and adolescents (and up to early adulthood). Busse and colleagues examined every survey and case study that had been published on SARTB, and more specifically examining the behaviour among those aged 
0–20 years (excluding any study where the motive was autoerotic, suicidal or self-harm). They reported that 36 studies had examined child and adolescent SARTB in 10 different countries (North America and France being the most common, but also reports in the UK).

Risk factors for SARTB were hard to assess because most of the studies examining such risks did not control for other confounding variables. However, five of the studies reported an association between SARTB and a number of other risky behaviours including substance misuse, risky sexual behaviours, poor mental health, poor dietary behaviours, and engagement in risky sports. The review also reported that there did not seem to be any association between SARTB and engagement in physical activity, and experiencing accidents, and/or hospital admissions. It was also noted that a number of other behaviours increased the likelihood of engaging in SARTB including experiences of violence, being more impulsive, having a thrill-seeking personality, and having lower school achievement. However, only six of the 36 studies they reviewed reported the potential for SARTB to be associated with other risky behaviours. No consistent findings were found between SARTB and gender, age and other demographic factors (such as socio-economic status).

Examining the studies as a whole, Busse and colleagues reported that awareness of SARTB ranged from 36% to 91%, and that the median lifetime prevalence of engagement in SARTB was 7.4% (however, these were studies that used convenience sampling, therefore none of the studies were necessarily representative). In the SARTB literature, a total of 99 fatal cases were reported (and of the 24 detailed case reports, most of the deaths occurred when individuals were engaged in SARTB alone and used some type of ligature).

In a different analysis in the Journal of Safety Research, Dr. R.L. Toblin and colleagues used US news media reports to estimate the incidence of deaths from SARTB. Their report identified 82 probable SARTB deaths among youths aged 6-19 years during 1995 and 2007. Of these 82 cases, 71 (86.6%) were male, and the mean age of death was just over 13 years of age. The study also noted that deaths were recorded in 31 US states and were not clustered by location, season or day of week. Busse and colleagues assert the importance of education and prevention and more specifically note:

“As it has been suggested that knowledge and identification of symptoms and signs of engagement in [SARTB] could have possibly enabled early identification and possible prevention of fatal cases, we believe that clinicians, paediatricians, health professionals and teachers should receive education on the symptoms and signs of [SARTB]. The need to educate health professionals has been highlighted as awareness of [SARTB] will enable these individuals to identify symptoms and signs and to act as educators to young people and their parents…We further recommend that more research is carried out together with young people to develop appropriate education material. In line with recommendations from others, we further recommend removing existing videos about [SARTB] from the internet and ensuring that preventative website rather than promotional websites appear first on internet searches” (p.8).

This brief examination of the literature suggests that a significant minority of adolescents have engaged in SARTB and that in extreme cases it may lead to death. Despite being known about for over 60 years, the data concerning SARTB are still limited and relatively little is known about the associated risk factors. However, SARTB certainly appears to be an activity that parents and teachers should be made more aware of even if the prevalence of such activity among children and adolescents is low.

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

Further reading

Aggrawal A. (2009). Forensic and Medico-legal Aspects of Sexual Crimes and Unusual Sexual Practices. Boca Raton: CRC Press.

Busse, H., Harrop, T., Gunnell, D. & Kipping, R. (2015). Prevalence and associated harm of engagement in self-asphyxial behaviours (‘choking game’)
in young people: A systematic review. Archives of Disease in Childhood, doi:10.1136/archdischild-2015-308187.

Drake, J.A., Price, J.H., Kolm-Valdivia, N. & Wielinski, M. (2010). Association of adolescent choking game activity with selected risk behaviors. Academic Pediatrics, 10, 410-416.

Egge, M.K., Berkowitz, C.D., Toms, C. & Sathyavagiswaran, L. (2010). The choking game: A cause of unintentional strangulation. Pediatric Emergency Care, 26, 206-208.

Griffiths, M.D. (2015). A brief review of self-asphyxial risk-taking behaviour in adolescents. Education and Health, 33, 59-61.

Howard, P., Leathart, G. L., Dornhorst, A.C., & Sharpey-Schafer, E.P. (1951). The mess trick and the fainting lark. British Medical Journal, 2, 382-384.

MacNab, A.J., Deevska, M., Gagnon, F., Cannon, W.G. & Andrew, T (2009). Asphyxial games or “the choking game”: A potentially fatal risk behavior. Injury Prevention, 14, 45-49.

Shlamovitz, G.Z., Assia, A., Ben-Sira, L. & Rachmel, A. (2003). “Suffocation roulette”: A case of recurrent syncope in an adolescent boy. Annals of Emergency Medicine, 41, 223-226.

Toblin, R.L., Paulozzi, L.J., Gilchrist, J. & Russell, P.J. (2008). Unintentional strangulation deaths from the “choking game” among youths aged 6-19 years -United States, 1995-2007. Journal of Safety Research, 39, 445-448.

Urkin, J. & Merrick, J. (2006). The choking game or suffocation roulette in adolescence (editorial). International Journal of Adolescent Medicine and Health, 18, 207-208.

Rush hour: Can you be addicted to adrenaline?

(N.B. A shorter version of this article was first published in Hopes & Fears magazine).

Conceptualising addiction has been a matter of great debate for decades. For many people the concept of addiction involves the taking of drugs. However, there is now a growing movement that views a number of behaviors as potentially addictive including those that do not involve the ingestion of a drug. These include behaviors diverse as gambling, eating, sex, exercise, videogame playing, love, shopping, Internet use, social networking, and work. The term ‘adrenaline junkies’ has now passed into popular usage and usually refers to potentially dangerous activities such as bungee jumping, sky diving, BASE jumping, etc. My own view is that any activity that features continuous rewards (i.e., constant reinforcement) could be potentially addictive. I have argued in many of my papers that all addictions – irrespective of whether they are chemical or behavioral – 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 behavior (deterioration of socialized behavior). 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 short, if any ‘adrenaline junkies’ fulfilled all my six criteria I would class them as an addict. However, I have come across very few adrenaline junkies that endorse all of my six criteria. My position is that it is theoretically possible for individuals to become addicted to adrenaline producing activities but in reality, very few actually are.

Addiction is an incredibly complex behavior 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 behavior. In respect to ‘adrenaline addicts’ the most important factors are likely to be the individual’s personality and the potential of the reinforcing nature of the activity to produce mood modifying experiences.

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.