Category Archives: Cyberpsychology

Blocking out the pain: Tetris, trauma, and Game Transfer Phenomena

Unwanted visual intrusions are characteristic of Post-Traumatic Stress Disorder (PTSD). According to Dr. Emily Holmes and her colleagues in a 2009 paper in the journal PLoS ONE, one innovative intervention for inhibiting unwanted intrusions is playing the Tetris videogame, described as a ‘cognitive vaccine’ in preventing intrusions after traumatic events. Playing Tetris consumes heavy visuospatial working memory resources that potentially compete with cognitive resources required for elaboration of visual imagery. Since Holmes and colleagues’ study, other studies have used Tetris to inhibit intrusive imagery including more studies by Holmes and her colleagues and others by Ella James’ research group, as well as some innovative studies using Tetris to reduce drug cravings by Jessica Storka-Brown and her colleagues (see ‘Further reading’ below). However, none of these studies assessed the role of videogame content after playing in relation to Game Transfer Phenomena (GTP), an area that we have carried out a lot of research into (see ‘Further reading’ below).

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GTP research has investigated non-volitional experiences (e.g., altered sensorial perceptions and automatic mental processes/behaviours) mostly experienced after gaming. Gamers often report sensorial (visual/auditory) intrusions after playing (e.g., visual and auditory imagery, hallucinations). In a survey of 2,362 gamers that we published in a 2016 issue of the International Journal of Human-Computer Interaction, most (77%) had visualized images from a variety of videogames (including tile-puzzle games) with closed-eyes, and one-third (31%) had visualized images with open-eyes. Other studies have experimentally induced videogame-related visualizations at sleep onset (including studies by Stickgold and colleagues [2000], Wamsley and colleagues [2010], Kusse and colleagues [2012] – see ‘Further reading’).

James and colleagues’ 2015 study in the journal Psychological Science was the first to make explicit reference to GTP (referred to as the ‘Tetris effect’ [TE]). In 2012, we argued the TE term is misleading as it suggests repetition is the core of transfer effects. However, other factors are involved. Research concerning GTP makes the distinction between sensorial modalities facilitating non-volitional phenomena with videogame content that occur along the continuum from mild to severe. Moreover, the descriptive constructs of GTP are empirically based on our analysis of 3,500+ gamers and have been examined via confirmatory factor analysis demonstrating good reliability and validity.

James and her colleagues tested if playing Tetris offered a protective mechanism against re-experiencing traumatic events. Healthy participants (n=56) were randomly assigned to either playing Tetris for 11 minutes, or doing nothing before exposure to a 12-minute traumatic film. Image-base memories about the film were then registered in a one-week dairy. However, playing Tetris as a proactive interference task before watching the film did not show significant results. James and colleagues offered different explanations including: (i) duration of the task in relation to film length, (ii) temporal contingencies between the tasks, (iii) differences between the task types, (iv) videogame types used, and (v) reactivation of gameplay during the film for aided interference. In a commentary paper published in a 2016 issue of Frontiers in Psychology, we discussed these findings and some of its shortcomings in relation to GTP literature.

  • Duration of task in relation to film length: Playing Tetris for 11 minutes may not have been long enough to compete with the consolidation of memory of the 12-minute film. GTP are significantly more likely to occur when playing 3-6 hours. Our research reported only 4% of gamers reported GTP when playing sessions shorter than one-hour. Laboratory experiments have taken days of playing to induce game-related visualizations at sleep onset.
  • Temporal contingencies between gaming and film watching: The tasks were performed minutes apart from each other. GTP mostly occur soon after stopping playing but our research has found that gamers have also reported GTP days after playing. In most cases, duration of experience is very short (seconds/minutes) but in some cases hours or longer.
  • Differences between the tasks: Previous studies have demonstrated that similar tasks aid interference. However, watching a film is a passive activity while gaming is interactive requiring additional perceptual/motor skills. Therefore, it may be expected that gaming is more potent as interference task, particularly because inducing the subjective sense of presence in the virtual world may strengthen the interference.
  • Type of videogame used as interference task and emotional content of film: The unrealistic (geometric) Tetris content may have been overwritten by the film’s traumatic images. Visualization of stereotypical games induced at sleep onset are characterized by lack of emotion, assuming that the amygdala and the reward system are not involved. In GTP research, emotions in tile-matching puzzle-games are incomparable to emotions in realistic videogames.
  • Reactivation of gameplay during the film for aided interference: The use of cue reminders may have potential in reviving videogame content. In many cases, thoughts and altered perceptions are triggered by game-related cues. Selective attention toward game-related cues has been demonstrated in experiments. GTP have been reported in variety of videogame genres particularly those that have very realistic graphics and settings. Therefore, more realistic games may aid associations between real life stimuli and videogame content, and may be more effective in competing with memories of traumatic events.

In our Frontiers paper, we noted that playing Tetris is not only an effective visuospatial task (overloading working memory resources needed for imagery-formation while playing), but as demonstrated in our GTP studies, videogame content stays active after playing (e.g., mental imagery, sensory perceptions), and may offer additional benefits for managing unwanted intrusions. GTP may potentially strengthen effects of interference tasks but should be used cautiously, because videogame content not only targets unwanted intrusions, but also influences individual cognitions, perceptions, and behaviours in day-to-day contexts (e.g., attention bias, lack of task awareness, control inhibition failures). Moreover, our studies have shown distress and dysfunction have been reported with GTP.

Consequently, further research needs conducting to identify: (i) videogames that are most effective, (ii) playing duration, (iii) factors that reduce intervention efficacy and strategies to control them, and (iv) individuals that may benefit the most from such intervention. While using videogames as intervention tools for preventing unwanted imagery from traumatic experiences has potential, therapeutically it is still at an early stage.

  • (Please note: This blog was co-written with Dr. Angelica Ortiz de Gortari and is based on an article we published in Frontiers in Psychology: Ortiz de Gortari, A.B. & Griffiths, M.D. (2016). Playing the computer game Tetris prior to viewing traumatic film material and subsequent intrusive memories: Examining proactive interference. Frontiers in Psychology, 7, 260. doi: 10.3389/fpsyg.2016.00260)

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

Further reading

Holmes, E. A., James, E. L., Kilford, E. J., & Deeprose, C. (2010). Key steps in developing a cognitive vaccine against traumatic flashbacks: Visuospatial Tetris versus Verbal Pub Quiz. PloS ONE, 5(11), e13706.

James, E. L., Bonsall, M. B., Hoppitt, L., Tunbridge, E. M., Geddes, J. R., Milton, A. L., & Holmes, E. A. (2015a). Computer game play reduces intrusive memories of experimental trauma via reconsolidation-update mechanisms. Psychological Science. doi: 10.1177/0956797615583071

James, E. L., Zhu, A. L., Tickle, H., Horsch, A., & Holmes, E. A. (2015b). Playing the computer game Tetris prior to viewing traumatic film material and subsequent intrusive memories: Examining proactive interference. Journal of Behavior Therapy and Experimental Psychiatry. doi: 10.1016/j.jbtep.2015.11.004

Kusse, C., Shaffii-Le Bourdiec, A., Schrouff, J., Matarazzo, L., & Maquet, P. (2012). Experience-dependent induction of hypnagogic images during daytime naps: A combined behavioural and EEG study. Journal of Sleep Research, 21(1), 10-20.

Ortiz de Gortari, A. B., Aronsson, K., & Griffiths, M. D. (2011). Game Transfer Phenomena in video game playing: A qualitative interview study. International Journal of Cyber Behavior, Psychology and Learning 1(3), 15-33.

Ortiz de Gortari, A. B., & Griffiths, M. D. (2012). An introduction to Game Transfer Phenomena in video game playing. In J. I. Gackenbach (Ed.), Video Game Play and Consciousness (pp. 223-250). Hauppauge, NY: Nova Publisher.

Ortiz de Gortari, A. B., & Griffiths, M. D. (2014a). Altered visual perception in Game Transfer Phenomena: An empirical self-report study. International Journal of Human-Computer Interaction, 30(2), 95-105.

Ortiz de Gortari, A. B., & Griffiths, M. D. (2014b). Auditory experiences in Game Transfer Phenomena: An empirical self-report study. International Journal of Cyber Behavior, Psychology and Learning 4(1), 59-75.

Ortiz de Gortari, A. B., & Griffiths, M. D. (2014c). Automatic mental processes, automatic actions and behaviours in Game Transfer Phenomena: An empirical self-report study using online forum data. International Journal of Mental Health and Addiction, 12(4), 1-21.

Ortiz de Gortari, A. B., & Griffiths, M. D. (2015a). Game Transfer Phenomena and its associated factors: An exploratory empirical online survey study. Computers in Human Behavior, 51, 195-202.

Ortiz de Gortari, A.B. & Griffiths, M.D. (2016). Prevalence and characteristics of Game Transfer Phenomena: A descriptive survey study. International Journal of Human-Computer Interaction, 32, 470-480.

Ortiz de Gortari, A.B., Oldfield, B. & Griffiths, M.D. (2016). An empirical examination of factors associated with Game Transfer Phenomena severity. Computers in Human Behavior, 64, 274-284.

Ortiz de Gortari, A. B., Pontes, H. M. & Griffiths, M. D.  (2015). The Game Transfer Phenomena Scale: An instrument for investigating the nonvolitional effects of video game playing. Cyberpsychology, Behavior, and Social Networking 10, 588-594

Skorka-Brown, J., Andrade, J., & May, J. (2014). Playing ‘Tetris’ reduces the strength, frequency and vividness of naturally occurring cravings. Appetite, 76 , 161-165.

Skorka-Brown, J., Andrade, J., Whalley, B., & May, J. (2015). Playing Tetris decreases drug and other cravings in real world settings. Addictive Behaviors, 51, 165-170.

Stickgold, R., Malia, A., Maguire, D., Roddenberry, D., & O’Connor, M. (2000). Replaying the Game: Hypnagogic images in normals and amnesics. Science, 290(5490), 350-353.

Wamsley, E. J., Perry, K., Djonlagic, I., Reaven, L. B., & Stickgold, R. (2010). Cognitive replay of visuomotor learning at sleep onset: Temporal dynamics and relationship to task performance. Sleep, 1(33), 59-68.

 

Learning, yearning, but not earning: A brief look at student gambling

Last week, the UK Gambling Commission put out a press release relating to student gambling. Having been in the university sector for as long as I have been researching gambling (i.e., 30 years), student gambling is an area that has always been close to my professional heart. I have published dozens of papers on youth gambling and student gambling over the last three decades (see ‘Further reading’ below for a few examples).

With my daughter leaving home to go to university this week there are lots I could potentially worry about and gambling isn’t necessarily my main concern where my daughter is concerned, but gambling is still of concern to me especially because a study I published back in 2012 with Luke Benson and Dr. Christine Norman (in the International Journal of Mental Health and Addiction) found that first year university students gambled more than final year students and were more susceptible to problem gambling compared to final year students.

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The Gambling Commission have just published their own research into the topic. They hired Youth Sight who conducted 1,000 online interviews with undergraduate students in August 2017 (the students were part of an online panel recruited from applicants through Universities and Colleges Admission Service). The quotas chosen reflected the UK student population in terms of gender, course year and university group. Here are some of their key findings:

  • Two-thirds of students had gambled in the previous month
  • Over half of student gamblers (54%) engaged in gambling to make money
  • Two-fifths of students said they felt guilty after they had gambled
  • One in eight student gamblers had missed lectures due to gambling
  • One in four student gamblers (25%) had spent more money gambling than they could afford
  • One in 25 student gamblers (4%) were in debt because of their gambling
  • One in four students that had a gambling debt, had a debt of over £10,000

The Gambling Commission noted there were are number of limitations with the study. They specifically noted that gambling participation rates may have been higher than if the data had been collected using other methodologies (telephone, face-to-face interviews) due to the self-selecting nature of online surveys. However, online surveys were chosen due to students’ access to technology and the availability of a representative panel via this method. 

On the back of their survey, the Gambling Commission also provided their top ten tips to help students avoid getting into trouble with gambling. I have reproduced them here verbatim.

  • Ask yourself why you are gambling: Are you gambling to escape debt or as a way to make quick money? Think carefully about your motivations to gamble. Gambling shouldn’t be seen as the answer to improving your personal finances. If you have concerns about money, speak to a financial adviser or student support services.
  • Monitor how often you’re gambling online: Websites must give you access to historic account activity. This means you can see exactly when, how much and what you’ve been gambling on over time and make well-informed choices about what to do next.
  • Keep track of how much time you’ve spent gambling: With a reality check, you can set alerts to pop up on screen, which help you to monitor the time spent gambling either online or on gaming machines in a betting shop.
  • Limit how much you can spend: If you’re concerned about how much money you’re gambling, you can set a limit on how much you spend across individual gambling products online. You can also set a limit on how much you spend on gaming machines in a betting shop.
  • Give yourself a timeout: During a timeout, you can block yourself from gambling online for a set amount of time, of up to 6 weeks, and even bar yourself from gambling during a specific time of day.
  • Need a longer break? Self-exclude from gambling firms for a minimum of 6 months: If you think you are spending too much time or money gambling – whether online or in gambling premises – you can ask to be self-excluded. This is when you ask the company to stop you from gambling with them for a period of time. The exclusion will last for a minimum of least six months. Self-exclusion can be used if you think you have a problem with gambling and want help to stop. [The Gambling Commission] are also working with industry representatives to develop a national online self-exclusion scheme.
  • Read the terms and conditions: Did you know almost 80% of gamblers haven’t read the terms and conditions on the websites they are gambling on? By taking the time to read the T&Cs, you can ensure you understand exactly what you are gambling on, and what restrictions are attached to promotions and bonus offers (such as a minimum spend level before the bonus is paid) – this will help you make an informed decision.
  • Make sure the website you’re gambling with is licensed: Make sure you’re gambling with a Gambling Commission licensed business. This means you’ll be protected by gambling and consumer protection rules in Great Britain. Licensed gambling businesses must display that they are licensed and provide a link to our licence register where you can see what type of activities they are allowed to offer and also if we have taken any regulatory action against them.
  • Check how your money is protected: Any gambling business that holds customer funds must explain in their T&Cs how customer funds are protected if the business goes bust – this should help you decide who you want to gamble with.
  • Feel it’s getting too much? Talk to someone: There are a number of gambling support groups available if you feel your gambling is getting out of control or too much. More information about the signs of problem gambling can be found on the Gambleaware and Gamcare websites [You can call the National Gambling Helpline on Freephone 0808 8020 133]. They also provide general information about gambling, including how to gamble safely and where to get help if you or someone you know has problems with their gambling.

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

Further reading

Benson, L., Norman, C. & Griffiths, M.D. (2012). The role of impulsivity, sensation seeking, coping, and year of study in student gambling: A pilot study. International Journal of Mental Health and Addiction, 10, 461-473.

Canale, N., Griffiths, M.D., Vieno, A., Siciliano, V. & Molinaro, S. (2016). Impact of internet gambling on problem gambling among adolescents in Italy: Findings from a large-scale nationally representative survey. Computers in Human Behavior, 57, 99-106.

Canale, N., Vieno, A., Lenzi, M., Griffiths, M.D., Borraccino, A., Lazzeri, G., Lemma, P., Scacchi, L., Santinello, M. (2017). Income inequality and adolescent gambling severity: Findings from a large-scale Italian representative survey. Frontiers in Psychology, 8, 1318. doi: 10.3389/fpsyg.2017.01318

Gambling Commision (2017). Commission raises awareness of potential risks for students who gamble. September 12. Located at: http://www.gamblingcommission.gov.uk/news-action-and-statistics/news/2017/Commission-raises-awareness-of-potential-risks-for-students-who-gamble.aspx

Griffiths, M.D. (1995). Adolescent Gambling. London: Routledge.

Griffiths, M.D. (2002). Adolescent gambling: What should teachers and parents know? Education and Health, 20, 31-35.

Griffiths, M.D. (2002). Gambling and Gaming Addictions in Adolescence. Leicester: British Psychological Society/Blackwells.

Griffiths, M.D. (2008). Adolescent gambling in Great Britain. Education Today: Quarterly Journal of the College of Teachers. 58(1), 7-11.

Griffiths, M.D. (2013). Adolescent gambling via social networking sites: A brief overview. Education and Health, 31, 84-87.

Griffiths, M.D. (2015). Adolescent gambling and gambling-type games on social networking sites: Issues, concerns, and recommendations. Aloma: Revista de Psicologia, Ciències de l’Educació i de l’Esport, 33(2), 31-37.

Griffiths, M.D. & Calado, F. (2017). Adolescent gambling. Reference Module in Neuroscience and Biobehavioral Psychology (pp. 1-12). Oxford: Elsevier.

Griffiths, M.D. & Linsey, A. (2006). Adolescent gambling: Still a cause for concern? Education and Health, 24, 9-11.

Griffiths, M.D. & Parke, J. (2010). Adolescent gambling on the Internet: A review. International Journal of Adolescent Medicine and Health, 22, 59-75.

Screenagers in love: Adolescent screen time, content, and context

In 1999, the American Academy of Pediatrics (AAP) advocated the ‘2×2’ screen time guidelines to parents that their children should be restricted to no more than 2 hours of screen time a day and that children under 2 years of age should not be exposed to any screen time at all. Not only is this unworkable in today’s multi-media world but the guidelines are not based on scientific evidence. Thankfully, the AAP have revised their guidelines in the light of how today’s children actually engage with screen-based interactive technologies. For me, the issue is not about the amount of screen time but is about the content and the context of screen use. I have three ‘screenagers’ (i.e., children often referred to as ‘digital natives’ who have never known a world without the internet, mobile phones and interactive television) who all – like me – spend a disproportionate amount of their everyday lives on front of a screen for both work/educational and leisure purposes. Engaging in a lot of screen-based activities is not inherently negative – it’s simply a case of doing things differently than we did 20 years ago.

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One online activity that has received a lot of criticism in the media is the playing of online videogames. However there is now a wealth of research which shows that video games can be put to educational and therapeutic uses, as well as many studies which reveal how playing video games can improve reaction times and hand-eye co-ordination. Their interactivity can stimulate learning, allowing individuals to experience novelty, curiosity and challenge that stimulates learning. Although I have published many studies concerning online gaming addiction, there is little empirical evidence that moderate gaming has any negative effects whatsoever. In fact, many excessive players experience detrimental effects.

Over the past 15 years I have spent time researching the excessive playing of online videogames like Everquest and World of Warcraft (WoW). Online gaming involves multiple reinforcements in that different features might be differently rewarding to different people. In video games more generally, the rewards might be intrinsic (e.g. improving your highest score, beating your friend’s high score, getting your name on the “hall of fame”, mastering the game) or extrinsic (e.g. peer admiration).

In online gaming, there is no end to the game and there is the potential for gamers to play endlessly. This can be immensely rewarding and psychologically engrossing. For a small minority of people, this may lead to addiction where online gaming compromises everything else in their lives. However, playing excessively doesn’t necessarily make someone an addict. A few years ago in the International Journal of Mental Health and Addiction, I published two case study accounts of two males who claimed that they were gaming for up to 80 hours a week. They were behaviourally identical in terms of their game playing, but very different in terms of their psychological motivation to play.

The first case was an unemployed single 21-year old male. His favourite online game was World of Warcraft and that since leaving university he had spent an average of 10 to 14 hours a day playing WoW. He claimed that WoW had a positive influence in his life and that most of his social life was online and that it increased his self-esteem. He also argued that he had no other commitments and that he had the time and the flexibility to play WoW for long stretches. Gaming provided a daily routine when there was little else going on. There were no negative detrimental effects in his life. When he got a job and a girlfriend, his playing all but stopped.

The second case was 38-year old male, a financial accountant, married and had two children. He told me that over the previous 18 months, his online playing of Everquest had gone from about 3-4 hours of playing every evening to playing up to 14 hours a day. He claimed that his relationship was breaking down, that he was spending little time with his children, and that he constantly rang in sick to work so that he could spend the day playing online games. He had tried to quit playing on a number of occasions but could not go more than a few days before he experienced “an irresistible urge” to play again – even when his wife threatened to leave him.

Giving up online gaming was worse than giving up smoking and that he was “extremely moody, anxious, depressed and irritable” if he was unable to play online. Things got even worse. He was fired from his job for being unreliable and unproductive (although his employers were totally unaware of his gaming behaviour). As a result of losing his job, his wife also left him. This led to him “playing all day, every day”. It was a vicious circle in that his excessive online gaming was causing all his problems yet the only way he felt he could alleviate his mood state and forget about all of life’s stresses was to play online games even more.

I argued that only the second man appeared to be genuinely addicted to online gaming but that the first man wasn’t. I based this on the context and consequences of his excessive play. Online gaming addiction should be characterized by the extent to which excessive gaming impacts negatively on other areas of the gamers’ lives rather than the amount of time spent playing. For me, an activity cannot be described as an addiction if there are few (or no) negative consequences in the player’s life even if the gamer is playing up to 14 hours a day. The difference between a healthy enthusiasm and an addiction is that healthy enthusiasms add to life, addictions take away from it.

Every week I receive emails from parents claiming that their sons are addicted to playing online games and that their daughters are addicted to social media. When I ask them why they think this is the case, they almost all reply “because they spend most of their leisure time in front of a screen”. This is simply a case of parents pathologising their children’s behaviour because they think what they are doing is “a waste of time”. I always ask parents the same three things in relation to their child’s screen use. Does it affect their schoolwork? Does it affect their physical education? Does it affect their peer development and interaction? Usually parents say that none of these things are affected so if that is the case, there is little to worry about when it comes to screen time. Parents also have to bear in mind that this is how today’s children live their lives. Parents need to realise that excessive screen time doesn’t always have negative consequences and that the content and context of their child’s screen use is more important than the amount of screen time.

(Please note: This article is an extended version of an article that was originally published by the London School of Economics’ Media Policy Project)

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

Further reading

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

Griffiths, M.D. (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. (2013). Adolescent gambling via social networking sites: A brief overview. Education and Health, 31, 84-87.

Griffiths, M.D. (2013) Social networking addiction: Emerging themes and issues. Journal of Addiction Research and Therapy, 4: e118. doi: 10.4172/2155-6105.1000e118.

Griffiths, M.D. (2014). Child and adolescent social gaming: What are the issues of concern? Education and Health, 32, 9-12.

Griffiths, M.D. (2014). Gaming addiction in adolescence (revisited). Education and Health, 32, 125-129.

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

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

Kuss, D.J. & Griffiths, M.D. (2011). Online social networking and addiction: A literature review of empirical research. International Journal of Environmental and Public Health, 8, 3528-3552.

Kuss, D.J. & Griffiths, M.D. (2012). Online gaming addiction in adolescence: A literature review of empirical research. Journal of Behavioral Addictions, 1, 3-22.

Kuss, D.J. & Griffiths, M.D. (2012). Internet gaming addiction: A systematic review. International Journal of Mental Health and Addiction, 10, 278-296.

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.

Pápay, O., Urbán, R., Griffiths, M.D., Nagygyörgy, K., Farkas, J. Kökönyei, G., Felvinczi, K., Oláh, A., Elekes, Z., Demetrovics, Z. (2013). Psychometric properties of the Problematic Online Gaming Questionnaire Short-Form (POGQ-SF) and prevalence of problematic online gaming in a national sample of adolescents. Cyberpsychology, Behavior, and Social Networking, 16, 340-348.

Tubular hells: A brief look at ‘addiction’ to watching YouTube videos

 

A few days ago, I unexpectedly found my research on internet addiction being cited in a news article by Paula Gaita on compulsive viewing of YouTube videos (‘Does compulsive YouTube viewing qualify as addiction?‘). The article was actually reporting a case study from a different news article published by PBS NewsHour by science correspondent Lesley McClurg (‘After compulsively watching YouTube, teenage girl lands in rehab for digital addiction’). As Gaita reported:

“The story profiles a middle school student whose obsessive viewing of YouTube content led to extreme behavior changes and eventually, depression and a suicide attempt. The student finds support through therapy at an addiction recovery center…The student in question is a young girl named Olivia who felt at odds with the ‘popular’ kids at her Oakland area school. She began watching YouTube videos after hearing that it was a socially acceptable thing to do… Her viewing habits soon took the place of sleep, which impacted her energy and mood. Her grades began to falter, and external problems within her house – arguments between her parents and the death of her grandmother – led to depression and an admission of wanting to hang herself. Her parents took her to a psychiatric hospital, where she stayed for a week under suicide watch, but her self-harming compulsion continued after her release. She began viewing videos about how to commit suicide, which led to an attempt to overdose on Tylenol[Note: The name of the woman – Olivia – was a pseudonym].

McClurg interviewed Olivia’s mother for the PBS article and it was reported that Olivia went from being a “bubbly daughter…hanging out with a few close friends after school” to “isolating in her room for hours at a time”. Olivia’s mother also claimed that her daughter had always been kind of a nerd, a straight. A student who sang in a competitive choir. But she desperately wanted to be popular, and the cool kids talked a lot about their latest YouTube favorites”. According to news reports, all Olivia would do was to watch video after video for hours and hours on end and developed sleeping problems. Over time, the videos being watched focused on fighting girls and other videos featuring violence.

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The news story claimed that Olivia was “diagnosed with depression that led to compulsive internet use”. When Olivia went back home she was still feeling suicidal and then spent hours watching YouTube videos on how to commit suicide (and it’s where she got the idea for overdosing on Tylenol tablets).

After a couple of spells in hospital, Olivia’s parents took her to a Californian centre specialising in addiction recovery (called ‘Paradigm’ in San Rafael). The psychologist running the Paradigm clinic (Jeff Nalin) claimed Olivia’s problem was “not uncommon” among clients attending the clinic. Nalin believes (as I do and have pointed out in my own writings) that treating online addictions is not about abstinence but about getting the behaviour under control but developing skills to deal with the problematic behaviour. He was quoted as saying:

“I describe a lot of the kids that we see as having just stuck a cork in the volcano. Underneath there’s this rumbling going on, but it just rumbles and rumbles until it blows. And it blows with the emergence of a depression or it emerges with a suicide attempt…The best analogy is when you have something like an eating disorder. You cannot be clean and sober from food. So, you have to learn the skills to deal with it”.

The story by Gaita asked the question of whether compulsive use of watching YouTube could be called a genuine addiction (and that’s where my views based on my own research were used). I noted that addiction to the internet may be a symptom of another addiction, rather than an addiction unto itself. For instance, people addicted to online gambling are gambling addicts, not internet addicts. An individual addicted to online gaming or online shopping are addicted to gaming or shopping not to the internet.

An individual may be addicted to the activities one can do online and is not unlike saying that an alcoholic is not addicted to a bottle, but to what’s in it. I have gone on record many times saying that I believe anything can be addictive as long there are continuous rewards in place (i.e., constant reinforcement). Therefore, it’s not impossible for someone to become addicted to watching YouTube videos but the number of genuine cases of addiction are likely to be few and far between. Watching video after video is conceptually no different from binge watching specific television series or television addiction itself (topics that I have examined in previous blogs).

I ought to end by saying that some of my own research studies on internet addiction (particularly those co-written with Dr. Attila Szabo and Dr. Halley Pontes and published in the Journal of Behavioral Addictions and Addictive Behaviors Reports – see ‘Further reading’ below) have examined the preferred applications by those addicted to the internet, and that the watching of videos online is one of the activities that has a high association with internet addiction (along with such activities such as social networking and online gaming). Although we never asked participants to specify which channel they watched the videos, it’s fair to assume that many of our participants will have watched them on YouTube), and (as the Camelot lottery advert once said) maybe, just maybe, a few of those participants may have had an addiction to watching YouTube videos.

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

Further reading

Gaita, P. (2017). Does compulsive YouTube viewing qualify as addiction? The Fix, May 19. Located at: https://www.thefix.com/does-compulsive-youtube-viewing-qualify-addiction

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

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

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

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, 74-77.

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., 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.

McClurg, L. (2017). After compulsively watching YouTube, teenage girl lands in rehab for ‘digital addiction’. PBS Newshour, May 16. Located at: http://www.pbs.org/newshour/rundown/compulsively-watching-youtube-teenage-girl-lands-rehab-digital-addiction/

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

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

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

Doctor, doctor: What can British GPs do about problem gambling?

A study published in the British Journal of General Practice in March 2017 reported that of 1,058 individuals surveyed in GP waiting rooms in Bristol (UK), 0.9% were problem gamblers and that a further 4.3% reported gambling problems that “were low to medium severity”. This is in line with other British studies carried out over the last decade which have reported problem gambling prevalence rates of between 0.5% and 0.9%.

I have long argued that problem gambling is a health issue and that GPs should routinely screen for gambling problems. Back in 2004, I published an article in the British Medical Journal about why problem gambling is a health issue. I argued that the social and health costs of problem gambling were (and still are) large at both individual and societal levels.

uk-gambling-trade-bodies-unite-to-improve-responsible-gaming

Personal costs can include irritability, extreme moodiness, problems with personal relationships (including divorce), absenteeism from work, neglect of family, and bankruptcy. Adverse health consequences for problem gamblers and their partners include depression, insomnia, intestinal disorders, migraine, and other stress related disorders. In my BMJ article I also noted that analysis of calls to the GamCare national gambling helpline indicated that a small minority of callers reported health-related consequences as a result of their problematic gambling. These included depression, anxiety, stomach problems, and suicidal ideation. Obviously many of these medical problems arise through the stress of financial problems but that doesn’t make it any less of a health issue for those suffering from severe gambling problems.

Research published in the American Journal of Addictions has also shown that health-related problems can occur as a result of withdrawal effects. For instance, one study by Dr. Richard Rosenthal and Dr. Henry Lesieur found that at least 65% of pathological gamblers reported at least one physical side effect during withdrawal, including insomnia, headaches, loss of appetite, physical weakness, heart racing, muscle aches, breathing difficulty, and chills.

Based on these findings, problem gambling is very much a health issue that needs to be taken seriously by all in the medical profession. GPs routinely ask patients about smoking cigarettes and drinking, but gambling is something that is not generally discussed. Problem gambling may be perceived as a grey area in the field of health, and it is therefore very easy for those in the medical profession not to have the issue on their wellbeing radar. If the main aim of GPs is to ensure the health of their patients, then an awareness of gambling and the issues surrounding it should be an important part of basic knowledge and should be taught in the curriculum while prospective doctors are at medical school. One of the reasons that GPs don’t routinely screen for problem gambling is because they are not taught about it during their medical training and therefore do not even think about screening for it in the first place. As I recommended in a report commissioned by the British Medical Association, the need for education and training in the diagnosis, appropriate referral and effective treatment of gambling problems must be addressed within GP training. More specifically, GPs should be aware of the types of gambling and problem gambling, demographic and cultural differences, and the problems and common co-morbidities associated with problem gambling. GPs should also understand the importance of screening patients perceived to be at increased risk of gambling addiction, and should be aware of the referral and support services available locally.

I also recommended that treatment for problem gambling should be provided under the NHS (either as standalone services or alongside drug and alcohol addiction services) and funded by gambling-derived profit revenue.

Back in 2011, Dr. Jane Rigbye and myself published a study using Freedom of Information requests to ask NHS trusts if they had ever treated pathological gamblers. Only 3% of the trusts had ever treated a problem gambler and only one trust said they offered dedicated help and support. I’m sure if we repeated the study today, little will have changed.

It is evident that problem gambling is not, as yet, on the public health agenda in the UK. NHS services – including GP surgeries – need to be encouraged to see gambling problems as a primary reason for referral and a valid treatment option. Information about gambling addiction services, in particular services in the local area, should be readily available to gamblers and GP surgeries are a good outlet to advertise such services. Although some gambling services (such as GamCare, the gambling charity I co-founded) provide information to problem gamblers about local services, such information is provided to problem gamblers who have already been proactive in seeking gambling help and/or information. Given that very few GPs could probably treat a problem gambler, what they must have is the knowledge of who they can refer their patients to.

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

Further reading

Calado, F. & Griffiths, M.D. (2016). Problem gambling worldwide: An update of empirical research (2000-2015). Journal of Behavioral Addictions, 5, 592–613.

Cowlishaw, S., Gale, L., Gregory, A., McCambridge, J., & Kessler, D. (2017). Gambling problems among patients in primary care: a cross-sectional study of general practices. British Journal of General Practice, doi: bjgp17X689905

Griffiths, M.D. (2001). Gambling – An emerging area of concern for health psychologists. Journal of Health Psychology, 6, 477-479.

Griffiths, M.D. (2004). Betting your life on it: Problem gambling has clear health related consequences. British Medical Journal, 329, 1055-1056.

Griffiths, M.D. (2007). Gambling Addiction and its Treatment Within the NHS. London: British Medical Association (ISBN 1-905545-11-8).

Griffiths, M.D. & Smeaton, M. (2002). Withdrawal in pathological gamblers: A small qualitative study. Social Psychology Review, 4, 4-13.

Rigbye, J. & Griffiths, M.D. (2011). Problem gambling treatment within the British National Health Service. International Journal of Mental Health and Addiction, 9, 276-281.

Rosenthal, R., & Lesieur, H. (1992). Self-reported withdrawal symptoms and pathological gambling. American Journal of the Addictions, 1, 150–154.

Wardle, H., Moody. A., Spence, S., Orford, J., Volberg, R., Jotangia, D., Griffiths, M.D., Hussey, D. & Dobbie, F. (2011).  British Gambling Prevalence Survey 2010. London: The Stationery Office.

Wardle, H., Sproston, K., Orford, J., Erens, B., Griffiths, M.D., Constantine, R. & Pigott, S. (2007). The British Gambling Prevalence Survey. London: The Stationery Office.

Nag, nag, nag: Another look at horse race betting and problem gambling

Literature reviews carried out by myself and others in the gambling studies field have concluded that electronic gaming machines (EGMs such as slot machines, pokie machines, video lottery terminals [VLTs], etc.) tend to have a higher association with problem gambling than other forms of gambling. Although any form of gambling can be potentially problematic, there is surprisingly little in the academically peer-reviewed gambling literature showing that horse race betting has a high association with problem gambling, particularly in comparison to activities such as EGM gambling.

Along with individual susceptibility and risk factors of the individual gambler, the most important determinants in the development and maintenance of problem gambling are structural characteristics, particularly those relating to the speed and frequency of the game (and more specifically event frequency, bet frequency, event duration and payout interval). More specifically, I have argued that researchers in the gambling studies field need to think about game parameters rather than specific game type when it comes to any association with problem and pathological gambling and that event frequency is the single most important determinant.

horse-racing

A study by Dr. Debi LaPlante and colleagues in the European Journal of Public Health examining types of gambling and level of gambling involvement (using data from the 2007 British Gambling Prevalence Survey of which I was one of the co-authors) indicated that when level of gambling is accounted, no specific type of gambling was associated anymore with disordered gambling, and that level of involvement in gambling better characterizes problem gambling than individual forms of gambling. In fact, this paper also concluded that:

“Two games, private betting and betting on horses, had a reversal of association. After controlling for involvement, individuals who engaged in private betting or betting on horses were significantly less likely to have gambling-related problems than people who did not…One interesting, and perhaps unanticipated, finding was that the nature of the relationships between private betting and betting on horses and gambling problems changed when we considered the influence of involvement: engaging in these types of gambling, but not other types, seemed to protect players against developing gambling problems. This finding suggests that the apparent risk between gambling activities and developing gambling-related problems resides, perhaps primarily or even entirely, among individuals who have high rates of involvement. For others who do not have high rates of involvement, playing these types of games might reflect social setting characteristics (e.g. norms) that encourage control and preclude excessive gambling”.

Similar results were also found in an Australian study by Dr. James Phillips and his colleagues in a 2013 issues of the Journal of Gambling Studies. A 2009 study by Dr. Thomas Holtgraves in the journal Psychology of Addictive Behaviors analysed all data from population-based surveys conducted in Canada between 2001 and 2005 comprising 21,374 participants (including 12,229 who had gambled in the past year). Using the Problem Gambling Severity Index to assess problem gambling, the study found that horse race gamblers had the lowest prevalence rates of problem gambling along with those that played bingo and bought raffle tickets (3%). Some types of gambling activity such as sports betting (25%) and playing video lottery terminals (18%) were much higher.

The most recent British Gambling Prevalence Survey [BGPS] published in 2011 reported that the most popular British gambling activity was playing the National Lottery (59%), a slight increase in participation from 2007 (57%). The prevalence of past-year betting on horse races was 16%. Among past year gamblers, problem gambling prevalence rates were highest among those who had played poker at a pub/club (12.8%), online slot machine games (9.1%) and fixed odds betting terminals (8.8%). The lowest problem gambling rates were among those that played the National Lottery (1.3%) and scratchcards (2.5%). Horse race gamblers also had one of the lower prevalence rates for problem gambling (2.7%). However, problem gamblers also gamble on many different activities and problem gambling prevalence was highest among those that gambled on nine or more different activities on a regular basis (28%).

More recently in 2014, Carla Seabury and Heather Wardle published an overview of gambling behaviour in England and Scotland by combining the data from the Health Survey for England and Scottish Health Survey (n=11,774 participants). It was reported that two-thirds of the sample (65%) had gambled in the past year, with men (68%) gambling more than women (62%). The findings were similar to the previous BGPS reports and showed that in terms of past-year gambling, the most popular forms of gambling were playing the National Lottery (52%; 56% males and 49% females) and scratchcards (19%; 19% males and 20% females). One in ten people (10%) had a engaged in horse race betting (12% males and 8% females).

Again, problem gambling rates were also examined by type of gambling activity. Results showed that among past year gamblers, problem gambling was highest among spread betting (20.9%), playing poker in pubs or clubs (13.2%), bet on events other than horse racing with a bookmaker (12.9%), gambling at a betting exchange (10.6%) and playing machines in bookmakers (7.2%). The activities with the lowest rates of problem gambling were playing the National Lottery (0.9%) and scratchcards (1.7%). Problem gambling among horse race gamblers were also among the lowest (2.3%). Problem gambling rates were highest among individuals that had participated in seven or more activities in the past year (8.6%) and lowest among those that had participated in a single activity (0.1%).

Along with Filipa Calado, I recently co-authored two reviews of problem gambling worldwide (one on adult gambling and one of adolescent gambling). None of the studies we reviewed highlighted horse racing to be of particular concern in relation to problem gambling and only two countries (France and Sweden) was horse race betting one of the most preferred and prevalent forms of gambling. Analysis of a 2011 French national prevalence survey by Dr. Jean-Michel Costes reported that horse race betting was fourth in a list of six gambling activities that were most associated with problem gambling (with Rapido [a high event frequency lottery game], sports betting, and poker being the most problematic gambling forms). There is also evidence from gambling treatment service providers that horse race betting is much less of an issue than other forms of gambling. In Finland, the national helpline for problem gamblers, [Peluuri] only 1% of the telephone calls received concern horse betting. In Germany, two studies surveying therapists that treat problem gambling found that the vast majority of treatment was for slot machine gamblers (approximately 75%-80% of clients) whereas treatment for horse race gamblers was 0.6%-1.7% of clients. Unfortunately, the UK problem gambling helpline run by GamCare does not separate horse race betting from any other sports betting in its’ annual helpline statistics. The most recent (2016) GamCare report noted that 11% of their callers concerned betting in a bookmaker’s but this figure included all betting not just horse race betting.

In 2008, I was invited to write a report for the Gambling Commission and reported that internationally, the vast majority of problem gamblers that contact helplines or seek treatment report machine gambling as their primary form of gambling. In Europe many countries report that it is problem EGM gamblers that are most likely to seek treatment and/or contact national gambling helplines (rather than other forms of gambling including horse race betting) including 60% of gamblers seeking help in Belgium, 72% in Denmark, 93% in Estonia, 66% in Finland, 49.5% in France, 83% in Germany, 75% in Spain, and 35% in Sweden.

All data collected in Great Britain and elsewhere in the world demonstrate that horse race betting has a relatively low past-year participation rate. All major literature reviews have concluded that electronic gaming machines tend to have a higher association with problem gambling than other forms of gambling including horse race betting. Although no form of gambling is immune from problem gambling, horse race betting has one of the lowest associations with problem gambling. Furthermore, some analysis of the most recent BGPS data has demonstrated that after controlling for gambling involvement, individuals who engage in horse race betting are significantly less likely to have gambling-related problems than people who did not.

For the vast majority of horse gamblers, the activity is a discontinuous form of gambling in that they make one or a few bets in a small time period but then not bet again for days or weeks. Therefore, the event frequencies for betting on horse racing are much lower than other gambling activities and helps explain why there is a low association with problem gambling compared to activities that have much higher event frequencies (e.g., slot machines, roulette, blackjack, etc.).

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

Further reading

Abbott, M.W.  (2007). Situational factors that affect gambling behavior. In G. Smith, D. Hodgins & R. Williams (Eds.), Research and Measurement Issues in Gambling Studies. pp.251-278. New York: Elsevier.

Calado, F., Alexandre, J. & Griffiths, M.D. (2016). Prevalence of adolescent problem gambling: A systematic review of recent research. Journal of Gambling Studies. doi: 10.1007/s10899-016-9627-5

Calado, F. & Griffiths, M.D. (2016). Problem gambling worldwide: An update of empirical research (2000-2015). Journal of Behavioral Addictions, 5, 592–613.

Costes, J. M., Pousset, M., Eroukmanoff, V., Le Nezet, O., Richard, J. B., Guignard, R., … & Arwidson, P. (2011). Les niveaux et pratiques des jeux de hasard et d’argent en 2010. Tendances, 77(1), 8

Costes, J. M, Eroukmanoff V., Richard, J.B, Tovar, M. L. (2015). Les jeux de hasard et d’argent en France en 2014. Les Notes de l’Observatoire des Jeux, 6, 1-9.

Delfabbro, P.H., King, D.L & Griffiths, M.D. (2012). Behavioural profiling of problem gamblers: A critical review. International Gambling Studies, 12, 349-366.

EMPA Pari Mutuel Europe (2012). Common Position On Responsible Gambling. Brussels: EMPA.

GamCare (2016). Annual Statistics 2015/2016. London: GamCare.

Griffiths, M.D. (2004). Betting your life on it: Problem gambling has clear health related consequences. British Medical Journal, 329, 1055-1056.

Griffiths, M.D. (2007). Gambling Addiction and its Treatment Within the NHS. London: British Medical Association.

Griffiths, M.D. (2008). Impact of high stake, high prize gaming machines on problem gaming. Birmingham: Gambling Commission.

Griffiths, M.D. (2016). Problem gambling and gambling addiction are not the same. Journal of Addiction and Dependence, 2(1), 1-3.

Griffiths, M.D. & Auer, M. (2013). The irrelevancy of game-type in the acquisition, development and maintenance of problem gambling. Frontiers in Psychology, 3, 621. doi: 10.3389/fpsyg.2012.00621.

Holtgraves, T. (2009). Gambling, gambling activities, and problem gambling. Psychology of Addictive Behaviors, 23(2), 295-302.

LaPlante, D.A., Nelson, S.E., LaBrie, R.A., & Shaffer, H.J. (2009). Disordered gambling, type of gambling and gambling involvement in the British Gambling Prevalence Survey 2007. The European Journal of Public Health, 21, 532–537

Meyer, G., Hayer, T. & Griffiths, M.D. (Eds.), Problem Gaming in Europe: Challenges, Prevention, and Interventions. New York: Springer.

Parke, J. & Griffiths, M.D. (2007). The role of structural characteristics in gambling.  In G. Smith, D. Hodgins & R. Williams (Eds.), Research and Measurement Issues in Gambling Studies. pp.211-243. New York: Elsevier.

Phillips, J.G., Ogeil, R., Chow, Y.W., & Blaszczynski, A. (2013). Gambling involvement and increased risk of gambling problems. Journal of Gambling Studies, 29(4), 601-611.

Seabury, C. & Wardle, H. (2014). Gambling behaviour in England and Scotland. Birmingham: Gambling Commission.

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.

Wardle, H., Moody. A., Spence, S., Orford, J., Volberg, R., Jotangia, D., Griffiths, M.D., Hussey, D. & Dobbie, F. (2011).  British Gambling Prevalence Survey 2010. London: The Stationery Office.

Wardle, H., Sproston, K., Orford, J., Erens, B., Griffiths, M. D., Constantine, R., & Pigott, S. (2007). The British Gambling Prevalence Survey 2007. London: National Centre for Social Research.

It takes all sports: A brief look at sport-related betting

Over the past year I have been carrying out research with my Spanish colleague – Dr. Hibai Lopez-Gonzalez – into problematic sports betting and sports betting advertising which has already produced a number of papers (see ‘Further reading’ below) and with many more to come. One of the issues we have faced in contextualising our work is that there is no such concept as sport-related problem gambling in prevalence surveys because problem gambling is assessed on the totality of gambling experiences rather than a single activity. For instance, in the three British Gambling Prevalence Surveys (BGPSs) conducted since 1999, sport-related gambling is subsumed within a number of different gambling forms: ‘football pools and fixed odds coupons’, ‘private betting’, and ‘other events with a bookmaker’. The 2010 BGPS (which I co-authored) included ‘sports betting’ as a category, along with ‘football pools’ (no coupons), ‘private betting’, ‘spread betting’ (which can include both sports or financial trading). In addition, the 2010 BGPS added a new category under online gambling activities to include ‘any online betting’. More recently, the Health Survey for England also introduced a new category: ‘gambling on sports events (not online)’.

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Despite these limitations, some evidence can be inferred from gambling activity by gambling type. In 2014, Heather Wardle and her colleagues combined the gambling data from the Health Survey for England and the Scottish Health Survey. They reported that among adult males aged 16 years and over during a 12-month period, 5% participated in offline football pools, 8% engaged in online betting (although no indication was made about whether this only involved sport), and 8% engaged in sports events (not online). The categories were not mutually exclusive so an overlapping of respondents across categories was very likely. A similar rate was found in South Australia in a 2013 report the Social Research Centre with those betting on sports over the past year accounting for 6.1% of the adult population, an increase from the 4.2% reported in 2005.

In Spain, the Spanish Gambling Commission (Direccion General de Ordenacion del Juego [DGOJ] reported that 1.5% of the adult (male and female) population had gambled online on sports in 2015. This is a significantly lower proportion compared with the British data, although the methodological variations cannot be underestimated. Spanish data also shows that, among those who have gambled online on a single gambling type only, betting on sports is the more prevalent form with up to 66% of those adults.

In France, the data on the topic only focuses on those who gamble rather than examining the general population of gamblers and non-gamblers. Among online gamblers, Dr. Jean-Michel Costes and colleagues reported in a 2011 issue of the journal Tendances that 35.1% had bet on sports during the last 12 months. In another French study by Costes and colleagues published in a 2016 issue of the Journal of Gambling Studies, sports betting represented 16.4% of the gambling cohort, although again, the representativeness of sports betting behaviour among the general gambling and non-gambling population could not be determined.

Due to the aforementioned shortcomings in the definition of sport-related gambling, there is only fragmented empirical evidence concerning the impact of sports-related problem gambling behaviour. For instance, in 2014, Dr. Nerilee Hing noted that clinical reports indicate that treatment seeking for sports-related problem gambling had grown in Australia. In British Columbia (Canada), a 2014 survey by Malatests & Associates for the Ministry of Finance reported that 23.6% of at-risk or problem gamblers had gambled on sports either offline or online. A smaller proportion (16.2%) was found in the Spanish population screened in the national gambling DGOJ survey, except this subgroup was entirely composed of online bettors.

In a 2011 study published in International Gambling Studies with patients from a pathological gambling unit within a community hospital in Barcelona, Dr. Susana Jiménez-Murcia and her colleagues found that among those who had developed the disorder gambling online only (as opposed to those who gamble both online/offline or offline only), just over half (50.8%) were sport bettors. Those who gambled online only (on any activity) and those that only gambled online on sports events represented a small minority of the total number of problem gamblers. Overall, there is relatively little research on this sub-group of gamblers therefore I and others will be monitoring the evolution of this trend as the online gambling population grows.

(Note: This blog was co-written with input from Dr. Hibai Lopez-Gonzalez).

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

Further reading

Costes, J-M, Kairouz, S., Eroukmanoff, V., et al. (2016) Gambling patterns and problems of gamblers on licensed and unlicensed sites in France. Journal of Gambling Studies 32(1), 79–91.

Costes, J., Pousset, M., Eroukmanoff, V., et al. (2010). Gambling prevalence and practices in France in 2010. Tendances, 77, 1–8.

DGOJ (2016a) Análisis del perfil del jugador online. Madrid: Ministerio de Hacienda y Administraciones Públicas.

DGOJ (2016b) Estudio sobre prevalencia, comportamiento y características de los usuarios de juegos de azar en España 2015. Madrid: Ministerio de Hacienda y Administraciones Públicas.

Hing, N. (2014) Sports betting and advertising (AGRC Discussion Paper No. 4). Melbourne: Australian Gambling Research Centre.

Jiménez-Murcia S, Stinchfield R, Fernández-Aranda F, et al. (2011) Are online pathological gamblers different from non-online pathological gamblers on demographics, gambling problem severity, psychopathology and personality characteristics? International Gambling Studies 11(3), 325–337.

Lopez-Gonzalez, H., Estevez, A. & Griffiths, M.D. (2017). Marketing and advertising online sports betting: A problem gambling perspective. Journal of Sport and Social Issues, in press.

Lopez-Gonzalez, H. & Griffiths, M.D. (2016). Is European online gambling regulation adequately addressing in-play betting advertising? Gaming Law Review and Economics, 20, 495-503.

Lopez-Gonzalez, H. & Griffiths, M.D. (2017). Understanding the convergence of online sports betting markets. International Review for the Sociology of Sport, in press.

Lopez-Gonzalez, H. & Griffiths, M.D. (2017). ‘Cashing out’ in sports betting: Implications for problem gambling and regulation. Gaming Law Review and Economics, in press.

Malatests & Associates Ltd (2014). 2014 British Columbia Problem Gambling Prevalence Study. Victoria, Canada: Gaming policy and enforcement branch, Ministry of Finance.

The Social Research Centre (2013) Gambling prevalence in South Australia. Adelaide, Australia: Office for problem gambling. Available from: http://phys.org/news/2012-03-lung-doctors-respiratory-diseases-worsen.html.

Wardle, H., Moody. A., Spence, S., Orford, J., Volberg, R., Jotangia, D., Griffiths, M.D., Hussey, D. & Dobbie, F. (2011).  British Gambling Prevalence Survey 2010. London: The Stationery Office.

Wardle H, Seabury C, Ahmed H, et al. (2014) Gambling behaviour in England & Scotland. Findings from the health survey for England 2012 and Scottish health survey 2012. London: NatCen Social Research.

Wardle, H., Sproston, K., Orford, J., Erens, B., Griffiths, M.D., Constantine, R. & Pigott, S. (2007). The British Gambling Prevalence Survey 2007. London: The Stationery Office.