Term warfare: Another look at ‘behavioural addiction’ and ‘selfitis’ as constructs

I recently published a response to a debate article by Dr. Vladan Starcevic and his colleagues in the Australian & New Zealand Journal of Psychiatry. Unfortunately, my response was restricted to a stringent word limit so I am using my personal blog to provide the original version of my response before it was edited. My published version can be found here. Below is the original version:

The article by Starcevic, Billieux and Schimmenti (2018) made a number of assertions concerning my research with various co-authors. While I am always grateful that my work is being read and cited, some of the assertions made were arguably unfair, misguided and/or not stated in context (and could therefore be construed as untrue). In this short article, I first address some of the claims made about our research into the construct of ‘selfitis’. I then address a few of the wider issues made by Starcevic et al. in relation to behavioural addictions more generally because they used some of my other research into various behavioural addictions to make their arguments.

The construct of ‘selfitis’

Starcevic et al. noted that there has been a trend “to medicalize problematic behaviours” (p.1) and used the example of ‘selfitis’ to make their point. The way the article was written it would appear to the naïve reader that I and my co-author (Janarthan Balakrishnan) had coined the term ‘selfitis’. For instance, the article by Starcevic et al. cites our paper in specific reference to the following assertion:

“Instead of labelling an excessive and sometimes dangerous practice of taking selfies a ‘selfie addiction’, this behaviour was conceptualised as an inflammation-like selfitis (Balakrishnan and Griffiths, in press)”.

This sentence clearly gives the impression that it was Dr. Balakrishnan and I who conceptualised ‘selfitis’ and that our conceptualisation was that it was “inflammation-like”. However, we made it very clear to readers in the very first paragraph of our paper that the concept of ‘selfitis’ originally started a hoax claiming that the ‘disorder’ was to be included in the American Psychiatric Association’s Diagnostic and Statistical Manual of Mental Disorders. The original hoax report defined selfitis as “the obsessive compulsive desire to take photos of one’s self and post them on social media as a way to make up for the lack of self-esteem and to fill a gap in intimacy” which we again made clear in the second sentence of our paper. The two studies in our paper were exploratory and merely set out to examine whether there were individuals who were ‘obsessive selfie-takers’. In many parts of their article, Starcevic et al. appear to insinuate that our paper equates ‘selfitis’ with ‘selfie addiction’. For instance, they wrote:

“Interestingly, the components of selfitis that were identified (environmental enhancement, social competition, attention seeking, mood modification, self-confidence and subjective conformity) have practically nothing in common with behavioural addiction…Therefore, selfitis appears to be a construct that is very different from ‘selfie addiction’, and its purported link with compulsivity also seems tenuous” (p.1).

The six components comprising selfitis in our new psychometric tool (the Selfitis Behavior Scale [SBS]) were correctly reported but at no point in our paper did we ever say that ‘selfitis’ was a behavioural addiction. What we did write was that (a) “selfitis is a new construct in which future researchers may investigate further in relation to selfitis addiction and/or compulsion” (p.8), and (ii) “the qualitative focus group data from participants strongly implied the presence of ‘selfie addiction’ although the SBS does not specifically assess selfie addiction” (p.11). They also noted that our published paper on selfitis:

“…did not go unnoticed by the media, always ready to exploit everything that is ‘novel’ and sensational. Thus, one newspaper reported that selfitis, ‘the obsessive need to post selfies’, was a ‘genuine mental disorder’ and quoted one of the authors of the aforementioned article that the existence of selfitis appeared to be confirmed (www.telegraph.co.uk/science/2017/12/15/selfitis-obsessiveneed-post-selfies-genuine-mental-disorder/)…The word has thus become enriched by one more ‘condition’, complete with an assessment tool to establish its severity and a suggestion that people with selfitis may need professional help” (p.2).

While it is true that our study did not go unnoticed by the media (and was reported in hundreds of news stories around the world), only one newspaper journalist ever interviewed me about the study and at no point either in our published paper or in any conversations with the broadcast media did we ever say that ‘selfitis’ was a mental disorder. Our paper simply concluded that obsessive selfie-taking was a condition that appears to exist and made the observation that selfitis has “psychological consequences (which may be both positive and negative)” (p.12). In fact, we talked about the positive aspects of selfitis throughout the discussion section of our paper. In short, I would like it to be made clear that (i) we did not coin the term ‘selfitis’, (ii) we have never anywhere in published print (academic papers or the print media) claimed selfitis is a mental disorder, (iii) we have never claimed selfitis is a behavioural addiction, and (iv) we have never equated ‘selfitis’ with ‘selfie addiction’ (although we have just published another paper briefly reviewing the studies that have examined the concept of ‘selfie addiction’ [i.e., Griffiths & Balakrishnan, 2018]).

The construct of ‘behavioural addiction’

Starcevic et al. also claimed in their article that the term ‘behavioural addiction’ is “vague, misused and applied to an exceptionally wide variety of activities” (p.1). I would argue that the far from being ‘vague’, behavioural addiction has clearly been defined as any addiction that does not involve the ingestion of a psychoactive substance (Griffiths, 1996, 2005). I agree that it is sometimes misused and I have written dozens of populist articles on my personal blog pointing this out. However, I totally disagree that behavioural addiction has been applied to an ‘exceptionally wide variety of activities’. As I noted in a recent paper: “Very few of the thousands of leisure activities that individuals engage in have ever been written about in terms of addiction in peer-reviewed scientific papers” (Griffiths, 2017; p.1719). Starcevic et al. would be hard pushed to name more than about 20 leisure activities that have ever been empirically examined as a possible behavioural addiction. Of the five activities named by Starcevic in an attempt to show the behavioural addiction is being misused three of them were actually just sub-types of more widely researched behavioural addictions (i.e., stock market addiction is a sub-type of gambling addiction, study addiction is a sub-type of work addiction, and dance addiction is a sub-type of exercise addiction) as made clear in my papers on these topics.

Starcevic et al. also noted that a group of scholars (Kardefelt-Winther et al., 2017) “recently made an effort to reach a consensus, promote conceptual rigour and avoid misuse by proposing an open (modifiable) definition of behavioural addiction” (p.1). More specifically, Kardefelt‐Winther et al. provided four exclusion criteria and argued that behaviours should not be classed as a behavioural addiction if:

1. “The behaviour is better explained by an underlying disorder (e.g. a depressive disorder or impulse-control disorder).
2. The functional impairment results from an activity that, although potentially harmful, is the consequence of a willful choice (e.g. high-level sports).
3. The behaviour can be characterized as a period of prolonged intensive involvement that detracts time and focus from other aspects of life, but does not lead to significant functional impairment or distress for the individual.
4. The behaviour is the result of a coping strategy” (p.1710)

I doubt anyone researching in the behavioural addiction would disagree with the third exclusion criterion because to have a genuine behavioural addiction, the behaviour has to comprise significant functional impairment or distress for the individual. However, I would point out that if these criteria were applied to substance abuse, very few substance users would ever be classed as addicted (Griffiths, 2017). More specifically, I have written elsewhere that three of the four exclusion criteria proposed by Kardefelt‐Winther et al. (2017) are simply untenable:

“For instance, it is proposed that any behaviour in which functional impairment results from an activity that is a consequence of wilful choice should not be considered an addiction. I cannot think of a single addictive behaviour that when the person first started engaging in the behaviour (e.g., drinking alcohol, illicit drug-taking, gambling) was not engaged in wilfully…Also, not being classed as an addiction if the behaviour is secondary to another comorbid behaviour (e.g., a depressive disorder) or is used as a coping strategy again means that some other substance addictions (e.g., alcoholism) would not be classed as genuine addictive behaviours using such exclusion criteria because many substance-based addictions are used as coping strategies and/or are symptomatic of other underlying pathologies” (Griffiths, 2017; pp.1718-1719).

Throughout my 30 years of research into behavioural addiction, I have never simply looked at a behaviour and claimed that it cannot be potentially addictive. Using my own operational criteria for what I believe constitutes a genuine addiction (i.e., salience, conflict, tolerance, withdrawal, mood modification, and relapse; Griffiths, 1966, 2005) very few individuals would be classed as being addicted to activities such as sex, work, exercise, or gaming. However, if there is evidence of what I consider to be the core components of addiction in activities that others believe should not be pathologised (e.g., dancing or academic study), I would not choose to ignore such evidence if such activities caused significant functional impairment and distress for the individuals concerned.

 

References

Balakrishnan, J. & Griffiths, M.D. (2018). An exploratory study of ‘selfitis’ and the development of the Selfitis Behavior Scale. International Journal of Mental Health and Addiction. Epub ahead of print. https://doi.org/10.1007/s11469-017-9844-x

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

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

Griffiths, M.D. (2017). Behavioural addiction and substance addiction should be defined by their similarities not their dissimilarities. Addiction 112: 1718-1720.

Griffiths, M.D. & Balakrishnan, J. (2018). The psychosocial impact of excessive selfie-taking in youth: A brief overview. Education and Health 36(1): 3-5.

Kardefelt-Winther D, Heeren A, Schimmenti A, et al. (2017) How can we conceptualize behavioural addiction without pathologizing common behaviours? Addiction 112: 1709–1715.

Starcevic, V., Billieux, J., & Schimmenti, A. (2018). Selfitis, selfie addiction, Twitteritis: Irresistible appeal of medical terminology for problematic behaviours in the digital age. Australian & New Zealand Journal of Psychiatry, Epub ahead of print. https://doi.org/10.1177/0004867418763532

Painless steal? Another look at shoplifting as an addiction

In a previous 2014 blog, I looked at the psychology of shoplifting (which I called ‘Men of Steal’) based on the work of American psychologist John C. Brady (who’s upcoming book is also entitled ‘Men of Steal’). Brady is a really engaging writer and he recently published an article in Counsellor magazine on celebrity theft and why for some people it should be classed as an addiction.

Brady briefly recounted the cases of three celebrities who had been caught shoplifting (Lindsay Lohan, Kim Richards, and Winona Ryder – click on the links to get the stories of each of these celebrity shoplifting stories). Other famous celebrity shoplifters include Britney Spears, Megan Fox, Kristin Cavallari, Farrah Fawcett, and WWE Diva Emma (if you’re really interested in these and other celebrity shoplifters, then check out this story in Rebel Circus). According to Dr. Brady “psychological analysis reveals they are not greedy, rather they are addicted to the ‘rush’ associated with theft” and that there is an ‘addictive criminal syndrome’.

Brady’s article used the ‘celebrity’ angle as the ‘hook’ to write more generally about ‘shoplifting addictions’ and briefly outlined the cases of three high profile ‘theft addicts’:

“The first man is Bruce McNall, former LA Kings owner, Hollywood film producer, and a convicted felon. He received five years in Lompoc Federal Prison for stealing $238 million. The second man, John Spano, former owner of the New York Islanders, went off to two terms in federal prisons for stealing $80 million. He is currently an inmate in an Ohio prison doing ten more years for a crime he did not originate. Finally, William “Boots” Del Biaggio III, former Silicon Valley venture capitalist operator and founder of Heritage Bank in San Jose, graduated in 2016 from eight years at Lompoc for fraud. He stole $110 million to buy the Nashville Predators hockey team. He later expressed regret—maybe too little too late”.

Brady believes that these individuals had a behavioural addiction to stealing. The cases he outlined were all true and were examples of what Brady described as “elite offenders who became addicted to the rush connected to stealing”. Some commonalities between the three individuals was noted: they were charming, deceptive, had personalities that were outgoing, never used violence or aggression in the carrying out of their thefts, and (in Brady’s view) were addicted to crime. Like many addicts, they harmed themselves, their families, and their communities as a consequence of their behaviour.

The idea of being addicted to crime is not new, and the addiction components model that I have developed over the last couple of decades was based on that of one of my mentors – Iain Brown – who used such a model to explain addictive criminal offending in a really good book chapter published back in 1997 (in the book Addicted to Crime? edited by the psychologists John Hodge, Mary McMurran and Clive Hollin – see ‘Further reading’ below). Like me, Brady also read Addicted to Crime? in which it was posited that some criminals appear to become addicted to stealing (and that the act of theft made them feel good psychologically by providing a ‘high’ or a ‘rush’ similar to the feelings individuals experience when they ingest psychoactive substances). Brady argues that an addiction to stealing is a behavioural addiction and that it is “functionally equivalent” to substance-based addictions for two main reasons: that theft addicts (i) “generally derive the same initial uplifting, euphoric, and subjective sensations similar to substance abusers”, and (ii) “are almost blindly driven toward their goal and they cannot stop their self-defeating behaviors”.   

Brady contends that there are five addictive criminal stages of what he terms “the zone”: (i) criminal triggers, (ii) moral neutralisation, (iii) commission of the criminal act, (iv) post-criminal-act exhilaration, and (v) post-criminal-act confusion. Brady asserts:

“The five addictive stages comprising the criminal addictive zone helps explain why certain offenders arrived at such low points in their lives and progressively became drawn deeper into the addictive zone. Because these three men became frozen into one or more of these stages, they simply could not easily find an exit sign. I have applied this criminal zonal theory to a variety of deviant groups, including white-collar deviants and now to these three elite, nonviolent bank robbers. An analysis of the criminal addictive personality forms the foundation of the addictive zone. This zone is marked with multiple, negative psychological forces evidenced during each of the five stages…The movement through these overlapping stages results in a negative, criminological, transformative process during which theft addicts surrender their prior noncriminal status (positive), thereby adopting a new deviant one (negative)…After entering into this enigmatic zone, offenders often become locked into one or more of these overlapping stages. The one factor that remains constant is that the progression through these five stages dramatically and unalterably changed these men’s lives, their victims’ lives, and the lives of people around them”.

Brady’s five addictive criminal stages are:

• Criminal triggers – In the first stage. these internal triggers revolve around salience and low self-esteem and comprise “confusing and mostly illogical thoughts” that criminals acquire. These negative thoughts are “reflective of peoples’ compromised self-concepts coupled with the desire to overcompensate for perceived personal shortcomings” and primarily originate from feelings of loneliness, emptiness, and inadequacy.
• Moral neutralisation – In the second stage, Brady claims that this stage is the most complex and essential of all the stages and is rooted in conflict. The destructive and self-defeating behaviour that criminals experience is not driven by material (economic) motives but is simply individuals “trying to enrich their empty shell identities” and fuelled by irrational thoughts of wanting to prove to significant others that they are really important. These motives may be completely unconscious
• Commission of the criminal act – In the third stage, the actual carrying out of the criminal acts demands that criminals “neutralize the unsavory aspects of their offenses…and lend meaning to inexplicable behaviors”. The more a criminal engages in the activity the more criminals become “skilled practitioners in the art of self-deception”. Here, the criminal behaviour is paired with “exciting sensations” associated with the risk of engaging in criminal activity (“an anticipated visceral feeling or mental excitement and stimulation, if not an elation, a thrill, a rush, and even a sense of euphoria”). In short, the euphoric sensations experienced reinforce the criminal behaviour.
• Post-criminal-act exhilaration – In the fourth stage, Brady claims there is typically a “flooding of mood-elevating feelings similar to an adrenaline rush, accompanied with thoughts that synthetically increase their sense of well-being” and what my mentor Iain Brown refers to as “hedonic mood management”. In short, the criminal act can help individuals feel like “bigshots” and criminals may justify doing something bad because it makes them feel so good. Brady also claims that many of these exhilarating feelings “manifest themselves on an unconscious level that is easily experienced, yet not easily comprehended by a theft addict”
• Post-criminal-act confusion – In the fifth stage, Brady claims that the mood modifying experiences in the third and fourth stages are “replaced with new, dramatic, and unexpected changes in the offenders’ emotional awareness”. Here, criminals become confused, depressed and socially withdrawn, as well as experiencing withdrawal-like reactions (e.g., sweating, headaches, anxiety, nausea, heart arrhythmia, etc.). Brady says that on a psychological level, the fifth stage five is characterized by “confusion, guilt, afterthoughts, misgivings, anxiety, depression, and dramatic mood shifts ranging from feelings of sadness to hopelessness”. It is also during this stage that criminals might start to show signs of remorse.

Brady concludes that for the criminals he has known and treated “used the stolen money to boost their status and enhance their enormous egos so they could attain ‘big shot’ fame”. I find this last observation interesting given a previous blog that I wrote on fame being addictive. I’ve also written other blogs on addictive criminal behaviour (such as joy-riding).

I am of the opinion that specific types of crime can be classed as an addictive behaviour because addictions rely on constant rewards (i.e., reinforcement) and crime can provide many rewarding experiences (both financially and psychologically), at least in the short-term. I’m not for one-minute condoning such behaviour, just simply stating my opinion that I believe it’s theoretically possible to become addicted to activities such as stealing.

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

Further reading

Brady, J.C. (2013). Why Rich Women Shoplift – When They Have It All. San Jose, CA: Western Psych Press.

Brady, J.C. (2017) Celebrity theft: Unmasking addictive criminal intent. Counselor, July/August. Located at: http://www.counselormagazine.com/detailpageoverride.aspx?pageid=1729&id=15032386763

Brown, I. (1997). A theoretical model of the behavioral addictions: Applied to offending. In J.E. Hodge, M. McMurran, & C.R. Hollin (Eds.), Addicted to crime? (pp. 15–63). Chichester: Wiley.

Hodge, J.E., McMurran, M., & Hollin, C.R. (1997). Addicted to crime? Chichester: Wiley.

Shulman, T.D. (2011). Cluttered Lives, Empty Souls – Compulsive Stealing, Spending and Hoarding. West Conshohocken, PA: Infinity Publishing.

Soriano, M. (2015). 15 celebrities who were caught shoplifting. Rebel Circus, May 13. Located at: http://www.rebelcircus.com/blog/celebrities-caught-shoplifting/

We can work it out: A brief look at ‘entrepreneurship addiction’

Last month, a paper appeared online in the journal Academy of Management (AJM). I’d never heard of the journal before but its remit is “publish empirical research that tests, extends, or builds management theory and contributes to management practice”. The paper I came across was entitled ‘Entrepreneurship addiction: Shedding light on the manifestation of the ‘dark side’ in work behavior patterns’ – and is an addiction that I’d never heard of before. The authors of the paper – April Spivack and Alexander McKelvie – define ‘entrepreneurship addiction’ as “the excessive or compulsive engagement in entrepreneurial activities that results in a variety of social, emotional, and/or physiological problems and that despite the development of these problems, the entrepreneur is unable to resist the compulsion to engage in entrepreneurial activities”. Going by the title of the paper alone, I assumed ‘entrepreneurship addiction’ was another name for ‘work addiction’ or ‘workaholism’ but the authors state:

“We address what is unique about this type of behavioral addiction compared to related work pattern concepts of workaholism, entrepreneurial passion, and work engagement. We identify new and promising areas to expand understanding of what factors lead to entrepreneurship addiction, what entrepreneurship addiction leads to, how to effectively study entrepreneurship addiction, and other applications where entrepreneurship addiction might be relevant to study. These help to set a research agenda that more fully addresses a potential ‘dark side’ psychological factor among some entrepreneurs”.

The paper is a theoretical paper and doesn’t include any primary data collection. The authors had published a previous 2014 paper in the Journal of Business Venturing, on the same topic (‘Habitual entrepreneurs: Possible cases of entrepreneurship addiction?’) based on case study interviews with two habitual entrepreneurs. In that paper the authors argued that addiction symptoms can manifest in the entrepreneurial context. Much of the two papers uses the ‘workaholism’ literature to ground the term but the authors do view ‘entrepreneurship addiction’ and ‘work addiction’ as two separate entities (although my own view is that entrepreneurship addiction’ is a sub-type of ‘work addiction’ based on what I’ve read – in fact I would argue that all ‘entrepreneurship addicts’ are work addicts but not all work addicts are ‘entrepreneurship addicts’). Spivak and McKelvie are right to assert that “entrepreneurship addiction is a relatively new term and represents an emerging area of inquiry” and that “reliable prevalence rates are currently unknown”.

The aim of the AJM paper is to “situate entrepreneurship addiction as a distinct concept” and to examine entrepreneurship addiction in relation to other similar work patterns (i.e., workaholism, work engagement, and entrepreneurial passion). Like my own six component model of addiction, Spivak and McKelvie also have six components (and are similar to my own) which are presented below verbatim from their AJM paper:

• Obsessive thoughts – constantly thinking about the behavior and continually searching for novelties within the behavior;
• Withdrawal/engagement cycles – feeling anticipation and undertaking ritualized behavior, experiencing anxiety or tension when away, and giving into a compulsion to engage in the behavior whenever possible;
• Self-worth – viewing the behavior as the main source of self-worth;
• Tolerance – making increasing resource (e.g., time and money) investments;
• Neglect – disregarding or abandoning previously important friends and activities;
• Negative outcomes – experiencing negative emotional outcomes (e.g., guilt, lying, and withholding information about the behavior from others), increased or high levels of strain, and negative physiological/health outcomes.

As in my own writings on work addiction (see ‘Further reading’ below), Spivak and McKelvie also note that even when addicted, there may still be some positive outcomes and/or benefits from such behaviour (as can be found in other behavioural addictions such as exercise addiction). As noted in the AJM paper:

“Some of these positive outcomes may include benefits to the business venture including quick responsiveness to competitive pressures or customer demands and high levels of innovation, while benefits to the individual may include high levels of autonomy, financial security, and job satisfaction. It is the complexity of these relationships, or the combined positive and negative outcomes, that may obscure the dysfunctional dark side elements of entrepreneurship addiction”.

Spivak and McKelvie also go to great lengths to differentiate entrepreneurship addiction from workaholism (although I ought to point out, I have recently argued in a paper in the Journal of Behavioral Addictions [‘Ten myths about work addiction’] that ‘workaholism’ and ‘work addiction’ are not the same thing, and outlined in a previous blog). Spivak and McKelvie concede that entrepreneurship addiction is a “sister construct” to ‘workaholism’ because of the core elements they have in common. More specifically, in relation to similarities, they assert:

“Workaholism, like entrepreneurship addiction, emphasizes the compulsion to work, working long hours, obsessive thoughts that extend beyond the domain of work, and results in some of the negative outcomes that have been linked to entrepreneurship addiction, including difficulties in social relationships and diminished physical health (Spivack et al., 2014). Some of the conceptualizations of workaholism draw from the literature on psychological disorders. Similarly, we recognize and propose that there may be significant overlap with various psychological conditions among those that develop entrepreneurship addiction, including, but not limited to, obsessive compulsive disorder, bipolar disorder, and ADD/ADHD”.

However, they then do on to describe what they feel are the practical and conceptual distinctions between entrepreneurship addiction and workaholism. More specifically, they argue that:

“(M)ost workaholics are embedded within existing firms and are delegated tasks and resources in line with the organization’s mission, often in a team-based structure. Most workaholics work on these assigned projects with intensity and some will do so with high levels of engagement, as specified in previous literature. But, in reward for their efforts, many employed workaholics may be limited to receiving recognition and performance bonuses. As a team member employed within the structures of an existing organization, the individual’s contribution to organizational outcomes may be obfuscated just as the reciprocal impact of organizational performance (whether negative or positive) on the individual may be buffered (i.e., there is little chance an employee will lose their home if the business doesn’t perform well). In contrast, entrepreneurs, by definition, are proactive creators of their work context. They are responsible for a myriad of decisions and actions both within and outside of the scope of their initial expertise, and are challenged to situate their work within a dynamic business environment. Entrepreneurs are more clearly linked with their work, as they are responsible for acquiring the resources and implementing them in unique business strategies to create a new entity”.

I would argue that many of the things listed here are not unique to entrepreneurs as I could argue that in my own job as a researcher that I also have many of the benefits outlined above (because within flexible parameters I have a job that I can do what I want, when I want, how I want, and with who I want – there are so many possible rewards in the job I do that it isn’t that far removed from entrepreneurial activity – in fact some of my job now actually includes entrepreneurial activity). As Spivak and McKelvie then go on to say:

“As a result of the intense qualities of the entrepreneurial experience, there are also more intense potential outcomes, whether rewards or punishments in financial, social, and psychological domains. For example, potential rewards for entrepreneurs extend far beyond supervisor recognition and pay bonuses, into the realm of public awareness of accomplishments (or failures), media heralding, and life-changing financial gains or losses. Entrepreneurship addiction thereby moves beyond workaholism into similarities with gambling because of the intensity of the experience and personal risk tied to outcomes”.

I’m not sure I would agree with the gambling analogy, but I agree with the broad thrust of what is being argued (but would still say that entrepreneurship addiction is a sub-type of work addiction). I ought to add that there has also been discussion about the risk of overabundance of unsubstantiated addictive disorders. For instance, in a 2015 paper in the Journal of Behavioral Addiction, Joel Billieux and his colleagues described a hypothetical case of someone they deem fitting into the criteria of the concept of “research addiction” (maybe they had someone like myself in mind?), invented for the purpose of the argument. However, it is worthwhile noting that if their hypothetical example of ‘research addiction’ already fits well into the persisting compulsive over-involvement in job/study to the exclusion of other spheres of life, and if it leads to serious harm (and conflict symptoms suggest that it may) then it could be argued that the person is addicted to work. What we could perhaps agree on, is that for the example of ‘research addiction’ we do not have to invent a new addiction, (just as we do not distinguish between vodka addicts, gin addicts or whisky addicts as there is the overarching construct of alcoholism). Maybe the same argument can be made for entrepreneurship addiction in relation to work addiction.

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

Further reading

Andreassen, C. S., Griffiths, M. D., Hetland, J., Kravina, L., Jensen, F., & Pallesen, S. (2014). The prevalence of workaholism: A survey study in a nationally representative sample of norwegian employees. PLoS ONE, 9, e102446. doi:10.1371/journal.pone.0102446

Andreassen, C. S., Griffiths, M. D., Hetland, J., & Pallesen, S. (2012). Development of a work addiction scale. Scandinavian Journal of Psychology, 53, 265–272. doi:10.1111/sjop.2012.53.issue-3

Andreassen, C. S., Griffiths, M. D., Sinha, R., Hetland, J., & Pallesen, S. (2016) The Relationships between workaholism and symptoms of psychiatric disorders: A large-scale cross-sectional study. PLoS ONE, 11: e0152978. doi:10.1371/journal.pone.0152978

Billieux, J., Schimmenti, A., Khazaal, Y., Maurage, P., & Heeren, A. (2015). Are we overpathologizing everyday life? A tenable blueprint for behavioral addiction research. Journal of Behavioral Addictions, 4, 142–144.

Brown, R. I. F. (1993). Some contributions of the study of gambling to the study of other addictions. In W.R. Eadington & J. Cornelius (Eds.), Gambling Behavior and Problem Gambling (pp. 341-372). Reno, Nevada: University of Nevada Press.

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

Griffiths, M.D. (2005). Workaholism is still a useful construct. Addiction Research and Theory, 13, 97-100.

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

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

Griffiths, M.D., Demetrovics, Z. & Atroszko, P.A. (2018). Ten myths about work addiction. Journal of Behavioral Addictions. Epu ahead of print. doi: 10.1556/2006.7.2018.05

Griffiths, M.D. & Karanika-Murray, M. (2012). Contextualising over-engagement in work: Towards a more global understanding of workaholism as an addiction. Journal of Behavioral Addictions, 1(3), 87-95.

Paksi, B., Rózsa, S., Kun, B., Arnold, P., Demetrovics, Z. (2009). Addictive behaviors in Hungary: The methodology and sample description of the National Survey on Addiction Problems in Hungary (NSAPH). [in Hungarian] Mentálhigiéné és Pszichoszomatika, 10(4), 273-300.

Quinones, C., & Griffiths, M. D. (2015). Addiction to work: A critical review of the workaholism construct and recommendations for assessment. Journal of Psychosocial Nursing and Mental Health Services, 10, 48–59.

Spivack, A., & McKelvie, A. (2017). Entrepreneurship addiction: Shedding light on the manifestation of the ‘dark side’ in work behavior patterns. The Academy of Management Perspectives. https://doi.org/10.5465/amp.2016.0185

Spivack, A. J., McKelvie, A., & Haynie, J. M. (2014). Habitual entrepreneurs: Possible cases of entrepreneurship addiction? Journal of Business Venturing, 29(5), 651-667.

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.

Odds on: Ten ways to help prevent problem gambling

[Please note: The following article was written with Dr. Michael Auer]

Problem gambling has become a major issue in many countries worldwide. In this short article we provide ten ways to help prevent problem gambling.

Raise the minimum age of all forms of commercial gambling to 18 years – Research has consistently shown that the younger a person starts to gamble, the more likely they are to develop gambling problems. Stopping problem gambling in adolescence is a key step in preventing problem gambling in the first place. Any venue or website that hosts gambling games should have effective age verification procedures.

Restrict the most harmful types of gambling – Most research shows that gambling activities which can be gambled on continuously such as slot machines tend to be far more problematic than discontinuous games such as weekly lotteries. More harmful forms of gambling should be restricted to dedicated gambling venues rather than housed in non-dedicated gambling premises (such as supermarkets, cafes, and restaurants).

Educate players to pre-commit when engaging in the most harmful types of gambling – Ideally, the most harmful forms of gambling should have mandatory limit-setting options for players to set their own voluntary time and money limits when playing the games. Gambling operators can also use mandatory loss limits to keep gambling expenditure to a minimum.

Take responsibility for where problem gambling lies – While all individuals are ultimately responsible for their own gambling behaviour, other stakeholders – including the gambling industry – have control over the structural and situational characteristics of gambling products. Government policymakers and legislators have a responsibility to ensure that gambling products are tightly regulated and to ensure that any given jurisdiction has the infrastructure to keep gambling problems to a minimum. Gambling operators are responsible for all advertising and marketing and need to ensure that the content is socially responsible and promotes responsible gambling. Within gambling venues, all practices and procedures should be socially responsible (such as not giving free alcohol while gambling, and no ATM machines on the gaming floor).

Put social responsibility at the heart of gambling operating practice – The most socially responsible gambling operators always puts player protection and harm minimisation at the heart of their business. They need to provide all information about their products so that individuals can make an informed choice about whether to gamble in the first place. They should advertise their products responsibly and provide their clientele with tools to aid responsible gambling, and provide help and guidance for those who think they are developing a gambling problem or have one.

Raise awareness about gambling among health practitioners and the general public – Problem gambling may be perceived as a somewhat ‘grey’ area in the field of health. However, there is an urgent need to enhance awareness about gambling-related problems within the general public and the medical and health professions.

Identify at-risk players – Big Data and Artificial Intelligence are common approaches applied in behavioural analysis across many industries. Online gambling and personalized land-based gambling operators can detect harmful behavioural patterns such as chasing losses or binge gambling. Such players can be excluded from direct marketing, specific types of games, and/or contacted to prevent the development of problem gambling.

Use personalized feedback – Research across many areas such as sports, health behaviour, as well as gambling has shown that personalized feedback can effectively change behaviour. Using behavioural data available in online gambling and personalized land-based venues, gamblers can be informed in real-time about behavioural changes in order to make them more aware and use pre-commitment tools such as limit-setting and/or self-exclusion.   

Set up both general and targeted gambling prevention initiatives – The goals of gambling intervention are to (i) prevent gambling-related problems, (ii) promote informed, balanced attitudes, and choices, and (iii) protect vulnerable groups. The guiding principles for action on gambling are therefore prevention, health promotion, harm reduction, and personal and social responsibility. This includes:

• General awareness raising (e.g. public education campaigns through advertisements on television, radio, newspapers).
• Targeted prevention (e.g. education programs and campaigns for particularly vulnerable populations such as senior citizens, adolescents, ethnic minorities).
• Awareness raising within gambling establishments (e.g. brochures and leaflets describing problem gambling, indicative warning signs, where help for problems can be sought such as problem gambling helplines, referral service, telephone counselling web-based chatrooms for problem gamblers, and outpatient treatment).
• Training materials (e.g. training videos about problem gambling shown in schools, job centres).

Educate and training those working in the gambling industry about problem gambling – All gaming personnel in any gambling establishments from shop retailers to croupiers should receive ongoing training regarding responsible gambling and problem gambling.

Dr. Mark Griffiths, Professor of Behavioural Addiction, 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. & Griffiths, M.D. (2013). Voluntary limit setting and player choice in most intense online gamblers: An empirical study of gambling behaviour. Journal of Gambling Studies, 29, 647-660.

Auer, M. & Griffiths, M.D. (2014). Personalised feedback in the promotion of responsible gambling: A brief overview. Responsible Gambling Review, 1, 27-36.

Auer, M., Malischnig, D. & Griffiths, M.D. (2014). Is ‘pop-up’ messaging in online slot machine gambling effective? An empirical research note. Journal of Gambling Issues, 29, 1-10.

Auer, M. & Griffiths, M.D. (2015). Testing normative and self-appraisal feedback in an online slot-machine pop-up message in a real-world setting. Frontiers in Psychology, 6, 339. doi: 10.3389/fpsyg.2015.00339.

Auer, M. & Griffiths, M.D. (2015). The use of personalized behavioral feedback for problematic online gamblers: An empirical study. Frontiers in Psychology, 6, 1406. doi: 10.3389/fpsyg.2015.01406.

Auer, M. & Griffiths, M.D. (2016). Personalized behavioral feedback for online gamblers: A real world empirical study. Frontiers in Psychology, 7, 1875. doi: 10.3389/fpsyg.2016.01875.

Griffiths, M.D. (2017). Evaluating responsible gambling tools using behavioural tracking data. Casino and Gaming International, 31, 41-45.

Griffiths, M.D. (2016). Gambling advertising, responsible gambling, and problem gambling: A brief overview. Casino and Gaming International, 27, 57-60.

Griffiths, M.D. & Auer, M. (2016). Should voluntary self-exclusion by gamblers be used as a proxy measure for problem gambling? Journal of Addiction Medicine and Therapy, 2(2), 00019.

Griffiths, M.D., Harris, A. & Auer, M. (2016). A brief overview of behavioural feedback in promoting responsible gambling. Casino and Gaming International, 26, 65-70.

Harris, A. & Griffiths, M.D. (2017). A critical review of the harm-minimisation tools available for electronic gambling. Journal of Gambling Studies, 33, 187–221.

Oehler, S., Banzer, R., Gruenerbl, A., Malischnig, D., Griffiths, M.D. & Haring, C. (2017). Principles for developing benchmark criteria for staff training in responsible gambling. Journal of Gambling Studies, 33, 167-186.

Wood, R.T.A. & Griffiths, M.D. (2015). Understanding positive play: An exploration of playing experiences and responsible gambling practices. Journal of Gambling Studies, 31, 1715-1734.

Wood, R.T.A., Shorter, G.W. & Griffiths, M.D. (2014). Rating the suitability of responsible gambling features for specific game types: A resource for optimizing responsible gambling strategy. International Journal of Mental Health and Addiction, 12, 94–112.

Screenage rampage: What should parents know about videogame playing for children?

Last month, the World Health Organisation (WHO) announced that it was planning to include ‘Gaming Disorder’ (GD) in the latest edition of the International Classification of Diseases. This followed the American Psychiatric Association’s decision to include ‘Internet Gaming Disorder’ in the latest edition of the Diagnostic and Statistical Manual of Mental Disorders in 2013. According to the WHO, an individual with GD is a person who lets playing video games “take precedence over other life interests and daily activities,” resulting in “negative consequences” such as “significant impairment in personal, family, social, educational, occupational or other important areas of functioning.”

I have been researching videogame addiction for nearly 30 years, and during that time I have received many letters, emails, and telephone calls from parents wanting advice concerning videogames. Typical examples include ‘Is my child playing too much?’, ‘Will playing videogames spoil my pupils’ education?’, ‘Are videogames bad for children’s health? and ‘How do I know if a child is spending too long playing videogames?’ To answer these and other questions in a simple and helpful way, I have written this article as a way of disseminating this information quickly and easily.

To begin with parents should begin by finding out what videogames their children are actually playing! Parents might find that some of them contain material that they would prefer them not to be having exposure to. If they have objections to the content of the games they should facilitate discussion with children about this, and if appropriate, have a few rules. A few aims with children should be:

• To help them choose suitable games which are still fun
• To talk with them about the content of the games so that they understand the difference between make-believe and reality
• To discourage solitary game playing
• To guard against obsessive playing
• To follow recommendations on the possible risks outlined by videogame manufacturers
• To ensure that they have plenty of other activities to pursue in their free time besides the playing of videogames

Parents need to remember that in the right context videogames can be educational (helping children to think and learn more quickly), can help raise a child’s self-esteem, and can increase the speed of their reaction times. Parents can also use videogames as a starting point for other activities like painting, drawing, acting or storytelling. All of these things will help a child at school. It needs to be remembered that videogame playing is just one of many activities that a child can do alongside sporting activities, school clubs, reading and watching the television. These can all contribute to a balanced recreational diet.

The most asked question a parent wants answering is ‘How much videogame playing is too much? To help answer this question I devised the following checklist. It is designed to check if a child’s videogame playing is getting out of hand. Ask these simple questions. Does your child:

• Play videogames every day?
• Often play videogames for long periods (e.g., 3 to 6 hours at a time)?
• Play videogames for excitement or ‘buzz’ or as a way of forgetting about other things in their life?
• Get restless, irritable, and moody if they can’t play videogames?
• Sacrifice social and sporting activities to play videogames?
• Play videogames instead of doing their homework?
• Try to cut down the amount of videogame playing but can’t?

If the answer is ‘yes’ to more than four of these questions, then your child may be playing too much. But what can you do if your child is playing videogames too much?

• First of all, check the content of the games. Try and give children games that are educational rather than the violent ones. Parents usually have control over what their child watches on television – videogames should not be any different.
• Secondly, try to encourage video game playing in groups rather than as a solitary activity. This will lead to children talking and working together.
• Thirdly, set time limits on children’s playing time. Tell them that they can play for a couple of hours after they have done their homework or their chores – not before.
• Fourthly, parents should always get their children to follow the recommendations by the videogame manufacturers (e.g., sit at least two feet from the screen, play in a well-lit room, never have the screen at maximum brightness, and never play videogames when feeling tired).

I have spent many years examining both the possible dangers and the potential benefits of videogame playing. Evidence suggests that in the right context videogames can have positive health and educational benefits to a large range of different sub-groups. What is also clear from the case studies displaying the more negative consequences of playing is that they all involved children who were excessive users of videogames. From prevalence studies in this area, there is little evidence of serious acute adverse effects on health from moderate play. In fact, in some of my studies, I found that moderate videogame players were more likely to have friends, do homework, and engage in sporting activities, than those who played no videogames at all.

For excessive videogame players, adverse effects are likely to be relatively minor, and temporary, resolving spontaneously with decreased frequency of play, or to affect only a small subgroup of players. Excessive players are the most at-risk from developing health problems although more research is needed. If care is taken in the design, and if they are put into the right context, videogames have the potential to be used as training aids in classrooms and therapeutic settings, and to provide skills in psychomotor coordination, and in simulations of real life events (e.g., training recruits for the armed forces).

Every week I receive emails from parents claiming that their sons are addicted to playing online games or 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.

(N.B. This article is an extended version of an article that was originally published by Parent Zone)

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

Further reading

Griffiths, M.D. (2003).  Videogames: Advice for teachers and parents. Education and Health, 21, 48-49.

Griffiths, M.D. (2009). Online computer gaming: Advice for parents and teachers. Education and Health, 27, 3-6.

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. & Pontes, H. (2016). A brief overview of Internet Gaming Disorder and its treatment. Australian Clinical Psychologist, 2(1), 20108.

Griffiths, M.D. & Meredith, A. (2009). Videogame addiction and treatment. Journal of Contemporary Psychotherapy, 39(4), 47-53.

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

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

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. (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.

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.

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.

Search of the poisoned mind? A brief look at ‘internet search dependence’

Despite being a controversial topic, research into a wide variety of online addictions has grown substantially over the last decade. My own research into online addictions has been wide ranging and has included online social networking, online sex addiction, online gaming addiction, online shopping addiction, and online gambling addiction. As early as the late 1990s/early 2000s, I constantly argued that when it came to online addictions, most of those displaying problematic behaviour had addictions on the internet rather than addictions to the internet (i.e., they were not addicted to the medium of the internet but addicted to applications and activities that could be engaged in via the internet).

A recent 2016 paper by Dr. Yifan Wang and colleagues in the journal Frontiers in Public Health described the development of the Questionnaire of Internet Search Dependence (QISD), a tool developed to assess individuals who may be displaying a dependence on using online search engines (such as Google and Baidu). The notion of individuals being addicted to using search engines is not new and was one of five types of internet addiction outlined in a 1999 typology in a paper in the Student British Medical Journal by Dr. Kimberley Young (and what she termed ‘information overload’ and referred to compulsive database searching). Although I criticized the typology on the grounds that most of the types of online addict were not actually internet addicts but were individuals using the medium of the internet to fuel other addictive behaviours (e.g., gambling, gaming, day trading, etc.), I did implicitly acknowledge that activities such as internet database searching could theoretically exist, even if I did not think it was a type of internet addiction.

As far as I am aware, the new scale developed by Wang et al. (2016) is the first to create and psychometrically evaluate an instrument to assess ‘internet search dependence’. As noted by the authors:

“Subsequently, we compiled 16 items to represent psychological characteristics associated with Internet search dependence, based on the literature review and a follow-up interview with 50 randomly selected university students…We adopted the six criteria for behavioral addiction formulated by Griffiths (i.e., salience, mood modification, tolerance, withdrawal, conflict, and relapse) [Griffiths, 1999b]”.

Given the authors claimed they used an early version of my addiction components model (i.e., one from 1999 rather than my most recent 2005 formulation) to help inform item construction, I was obviously interested to see the scale’s formulated items. I have to admit that I had a lot of misgivings about the paper so I wrote a commentary on it that has just been published in the same journal (Frontiers in Public Health). More specifically, I noted in my paper that if an individual was genuinely addicted to searching online databases I would have expected to see all of my six criteria applied as follows:

• Salience – This occurs when searching internet databases becomes the single most important activity in the person’s life and dominates their thinking (preoccupations and cognitive distortions), feelings (cravings) and behaviour (deterioration of socialized behaviour). For instance, even if the person is not actually searching the internet they will be constantly thinking about the next time that they will be (i.e., a total preoccupation with internet database searching).
• Mood modification – This refers to the subjective experiences that people report as a consequence of internet database searching 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’ when searching internet databases).
• Tolerance – This is the process whereby increasing amounts of time searching internet databases are required to achieve the former mood modifying effects. This basically means that for someone engaged in internet database searching, they gradually build up the amount of the time they spend searching internet databases every day.
• Withdrawal symptoms – These are the unpleasant feeling states and/or physical effects (e.g., the shakes, moodiness, irritability, etc.), that occur when an individual is unable to search internet databases because they are ill, the internet is unavailable, or there is no Wi-Fi on holiday, etc.
• Conflict – This refers to the conflicts between the person and those around them (interpersonal conflict), conflicts with other activities (social life, hobbies and interests) or from within the individual themselves (intra-psychic conflict and/or subjective feelings of loss of control) that are concerned with spending too much time searching internet databases.
• Relapse – This is the tendency for repeated reversions to earlier patterns of excessive internet database searching to recur and for even the most extreme patterns typical of the height of excessive internet database searching to be quickly restored after periods of control.

Of the 12 QISD items constructed in the new scale, very few appeared to have anything to do with addiction and/or dependence but this is most likely due to the fact that the authors also used data collected from 50 participants to inform their items and not just the criteria in the addiction components model. However, relying heavily on input from their participants resulted in a number of key features in addiction/dependence not even being assessed (i.e., no assessment of salience, mood modification, conflict, relapse or tolerance). A couple of items may peripherally assess withdrawal symptoms (e.g., ‘I will be upset if I cannot find an answer to a complex question through Internet search’) but not in any way that is directly associated with addiction or dependence. This may be because the authors’ conceptualization of ‘dependence’ was more akin to ‘over-reliance’ rather than traditional definitions of dependence.

While the QISD may be psychometrically robust I argued that it appears to have little face validity and does not appear to assess problematic engagement in internet database searching (irrespective of how addiction or dependence is defined). Based on the addiction components model, I concluded my paper by creating my own scale to assess internet search dependence based directly on the addiction components model and which I argued would have much greater face validity than any item currently found in the QISD:

• Internet database searching is the most important thing in my life.
• Conflicts have arisen between me and my family and/or my partner about the amount of time I spend searching internet databases.
• I engage in internet database searching as a way of changing my mood.
• Over time I have increased the amount of internet database searching I do in a day.
• If I am unable to engage in internet database searching I feel moody and irritable.
• If I cut down the amount of internet database searching I do, and then start again, I always end up searching internet databases as often as I did before.

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

Further reading

Andreassen, C.S., Griffiths, M.D., Pallesen, S., Bilder, R.M., Torsheim, T. Aboujaoude, E.N. (2015). The Bergen Shopping Addiction Scale: Reliability and validity of a brief screening test. Frontiers in Psychology, 6:1374. doi: 10.3389/fpsyg.2015.01374.

Andreassen, C.S., Pallesen, S., Griffiths, M.D. (2017). The relationship between excessive online social networking, narcissism, and self-esteem: Findings from a large national survey. Addictive Behaviors, 64, 287-293.

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.

Griffiths, M.D. (1998). Internet addiction: Does it really exist? In J. Gackenbach (Ed.), Psychology and the Internet: Intrapersonal, Interpersonal and Transpersonal Applications (pp. 61-75). New York: Academic Press.

Griffiths, M.D. (1999a). Internet addiction: Internet fuels other addictions. Student British Medical Journal, 7, 428-429.

Griffiths, M.D. (1999b). Internet addiction: Fact or fiction? The Psychologist: Bulletin of the British Psychological Society, 12, 246-250.

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

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

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

Griffiths, M.D. (2017). Commentary: Development and validation of a self-reported Questionnaire for Measuring Internet Search Dependence. Frontiers in Public Health, in press.

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.

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.

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.

Wang, Y., Wu, L., Zhou, H., Xu, J. & Dong, G. (2016). Development and validation of a self-reported Questionnaire for Measuring Internet Search Dependence. Frontiers in Public Health, 4, 274. doi: 10.3389/fpubh.2016.00274

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

A diction for addiction: A brief overview of our papers at the 2017 International Conference on Behavioral Addictions

This week I attended (and gave one of the keynote papers at) the fourth International Conference on Behavioral Addictions in Haifa (Israel). It was a great conference and I was accompanied by five of my colleagues from Nottingham Trent University all of who were also giving papers. All of the conference abstracts have just been published in the latest issue of the Journal of Behavioral Addictions (reprinted below in today’s blog) and if you would like copies of the presentations then do get in touch with me.

Griffiths, M.D. (2017). Behavioural tracking in gambling: Implications for responsible gambling, player protection, and harm minimization. Journal of Behavioral Addictions, 6 (Supplement 1), 2.

• Social responsibility, responsible gambling, player protection, and harm minimization in gambling have become major issues for both researchers in the gambling studies field and the gaming industry. This has been coupled with the rise of behavioural tracking technologies that allow companies to track every behavioural decision and action made by gamblers on online gambling sites, slot machines, and/or any type of gambling that utilizes player cards. This paper has a number of distinct but related aims including: (i) a brief overview of behavioural tracking technologies accompanied by a critique of both advantages and disadvantages of such technologies for both the gaming industry and researchers; (ii) results from a series of studies carried out using behavioural tracking (particularly in relation to data concerning the use of social responsibility initiatives such as limit setting, pop-up messaging, and behavioural feedback); and (c) a brief overview of the behavioural tracking tool mentor that provides detailed help and feedback to players based on their actual gambling behaviour.

Calado, F., Alexandre, J. & Griffiths, M.D. (2017). Youth problem gambling: A cross-cultural study between Portuguese and English youth. Journal of Behavioral Addictions, 6 (Supplement 1), 7.

• Background and aims: In spite of age prohibitions, most re- search suggests that a large proportion of adolescents engage in gambling, with a rate of problem gambling significantly higher than adults. There is some evidence suggesting that there are some cultural variables that might explain the development of gambling behaviours among this age group. However, cross­cultural studies on this field are generally lacking. This study aimed to test a model in which individual and family variables are integrated into a single perspective as predictors of youth gambling behaviour, in two different contexts (i.e., Portugal and England). Methods: A total of 1,137 adolescents and young adults (552 Portuguese and 585 English) were surveyed on the measures of problem gambling, gambling frequency, sensation seeking, parental attachment, and cognitive distortions. Results: The results of this study revealed that in both Portuguese and English youth, the most played gambling activities were scratch cards, sports betting, and lotteries. With regard to problem gambling prevalence, English youth showed a higher prevalence of problem gambling. The findings of this study also revealed that sensation seeking was a common predictor in both samples. However, there were some differences on the other predictors be- tween the two samples. Conclusions: The findings of this study suggest that youth problem gambling and its risk factors appear to be influenced by the cultural context and highlights the need to conduct more cross-cultural studies on this field.

Demetrovics, Z., Richman, M., Hende, B., Blum, K., Griffiths,
M.D, Magi, A., Király, O., Barta, C. & Urbán, R. (2017). Reward Deficiency Syndrome Questionnaire (RDSQ):
A new tool to assess the psychological features of reward deficiency. Journal of Behavioral Addictions, 6 (Supplement 1), 11.

• ‘Reward Deficiency Syndrome’ (RDS) is a theory assuming that specific individuals do not reach a satisfactory state of reward due to the functioning of their hypodopaminergic reward system. For this reason, these people search for further rewarding stimuli in order to stimulate their central reward system (i.e., extreme sports, hypersexuality, substance use and/or other addictive behaviors such as gambling, gaming, etc.). Beside the growing genetic and neurobiological evidence regarding the existence of RDS little re- search has been done over the past two decades on the psychological processes behind this phenomenon. The aim of the present paper is to provide a psychological description of RDS as well as to present the development of the Reward Deficiency Syndrome Questionnaire (developed using a sample of 1,726 participants), a new four-factor instrument assessing the different aspects of reward deficiency. The results indicate that four specific factors contribute to RDS comprise “lack of satisfaction”, “risk seeking behaviors”, “need for being in action”, and “search for overstimulation”. The paper also provides psychological evidence of the association between reward deficiency and addictive disorders. The findings demonstrate that the concept of RDS provides a meaningful and theoretical useful context to the understanding of behavioral addictions.

Demetrovics, Z., Bothe, B., Diaz, J.R., Rahimi­Movaghar, A., Lukavska, K., Hrabec, O., Miovsky, M., Billieux, J., Deleuze,
J., Nuyens, P. Karila, L., Nagygyörgy, K., Griffiths, M.D. & Király, O. (2017). Ten-Item Internet Gaming Disorder Test (IGDT-10): Psychometric properties across seven language-based samples. Journal of Behavioral Addictions, 6 (Supplement 1), 11.

• Background and aims: The Ten-Item Internet Gaming Disorder Test (IGDT-10) is a brief instrument developed to assess Internet Gaming Disorder as proposed in the DSM­5. The first psychometric analyses carried out among a large sample of Hungarian online gamers demonstrated that the IGDT-10 is a valid and reliable instrument. The present study aimed to test the psychometric properties in a large cross-cultural sample. Methods: Data were collected among Hungarian (n = 5222), Iranian (n = 791), Norwegian (n = 195), Czech (n = 503), Peruvian (n = 804), French­speaking (n = 425) and English­ speaking (n = 769) online gamers through gaming­related websites and gaming-related social networking site groups. Results: Confirmatory factor analysis was applied to test the dimensionality of the IGDT-10. Results showed that the theoretically chosen one-factor structure yielded appropriate to the data in all language­based subsamples. In addition, results indicated measurement invariance across all language-based subgroups and across gen- der in the total sample. Reliability indicators (i.e., Cronbach’s alpha, Guttman’s Lambda-2, and composite reliability) were acceptable in all subgroups. The IGDT- 10 had a strong positive association with the Problematic Online Gaming Questionnaire and was positively and moderately related to psychopathological symptoms, impulsivity and weekly game time supporting the construct validity of the instrument. Conclusions: Due to its satisfactory psychometric characteristics, the IGDT-10 appears to be an adequate tool for the assessment of internet gam- ing disorder as proposed in the DSM-5.

Throuvala, M.A., Kuss, D.J., Rennoldson, M. & Griffiths, M.D. (2017). Delivering school-based prevention regarding digital use for adolescents: A systematic review in the UK. Journal of Behavioral Addictions, 6 (Supplement 1), 54.

• Background: To date, the evidence base for school-delivered prevention programs for positive digital citizenship for adolescents is limited to internet safety programs. Despite the inclusion of Internet Gaming Disorder (IGD) as a pro- visional disorder in the DSM-5, with arguable worrying prevalence rates for problematic gaming across countries, and a growing societal concern over adolescents’ digital use, no scientifically designed digital citizenship programs have been delivered yet, addressing positive internet use among adolescents. Methods: A systematic database search of quantitative and qualitative research evidence followed by a search for governmental initiatives and policies, as well as, non­profit organizations’ websites and reports was conducted to evaluate if any systematic needs assessment and/or evidence-based, school delivered prevention or intervention programs have been conducted in the UK, targeting positive internet use in adolescent populations. Results: Limited evidence was found for school-based digital citizenship awareness programs and those that were identified mainly focused on the areas of internet safety and cyber bullying. To the authors’ knowledge, no systematic needs assessment has been conducted to assess the needs of relevant stakeholders (e.g., students, parents, schools), and no prevention program has taken place within UK school context to address mindful and positive digital consumption, with the exception of few nascent efforts by non­profit organizations that require systematic evaluation. Conclusions: There is a lack of systematic research in the design and delivery of school-delivered, evidence-based prevention and intervention programs in the UK that endorse more mindful, reflective attitudes that will aid adolescents in adopting healthier internet use habits across their lifetime. Research suggests that adolescence is the highest risk group for the development of internet addictions, with the highest internet usage rates of all age groups. Additionally, the inclusion of IGD in the DSM-5 as provisional disorder, the debatable alarming prevalence rates for problematic gaming and the growing societal focus on adolescents’ internet misuse, renders the review of relevant grey and published research timely, contributing to the development of digital citizenship programs that might effectively promote healthy internet use amongst adolescents.

Bányai, F., Zsila, A., Király, O., Maraz, A., Elekes, Z., Griffiths, M.D., Andreassen, C.S. & Demetrovics, Z. (2017). Problematic social networking sites use among adolescents: A national representative study. Journal of Behavioral Addictions, 6 (Supplement 1), 62.

• Despite being one of the most popular activities among adolescents nowadays, robust measures of Social Media use and representative prevalence estimates are lacking in the field. N = 5961 adolescents (49.2% male; mean age 16.6 years) completed our survey. Results showed that the one-factor Bergen Social Media Addiction Scale (BSMAS) has appropriate psychometric properties. Based on latent pro le analysis, 4.5% of the adolescents belonged to the at-risk group, who reported low self-esteem, high level of depression and the elevated social media use (34+ hours a week). Conclusively, BSMAS is an adequate measure to identify those adolescents who are at risk of problematic Social Media use and should therefore be targeted by school-based prevention and intervention programs.

Bothe, B., Toth-Király, I. Zsila, A., Griffiths, M.D., Demetrovics, Z. & Orosz, G. (2017). The six-component problematic pornography consumption scale. Journal of Behavioral Addictions, 6 (Supplement 1), 62.

• Background and aims: To our best knowledge, no scale ex- ists with strong psychometric properties assessing problematic pornography consumption which is based on an over- arching theoretical background. The goal of the present study was to develop a short scale (Problematic Pornography Consumption Scale; PPCS) on the basis of Griffiths` (2005) six-component addiction model that can assess problematic pornography consumption. Methods: The sample comprised 772 respondents (390 females; Mage = 22.56, SD = 4.98 years). Items creation was based on the definitions of the components of Griffiths’ model. Results: A confirmatory factor analysis was carried out leading to an 18­item second­order factor structure. The reliability of the PPCS was good and measurement invariance was established. Considering the sensitivity and specificity values, we identified an optimal cut­off to distinguish between problematic and non-problematic pornography users. In the present sample, 3.6% of the pornography consumers be- longed to the at-risk group. Discussion and Conclusion: The PPCS is a multidimensional scale of problematic pornography consumption with strong theoretical background that also has strong psychometric properties.

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

The words and the we’s: When is a new addiction scale not a new addiction scale?

“The words you use should be your own/Don’t plagiarize or take on loans/There’s always someone, somewhere/With a big nose, who knows” (Lyrics written by Morrissey from ‘Cemetry Gates’ (sic) by The Smiths)

Over the last few decades, research into ‘shopping addiction’ and ‘compulsive buying’ has greatly increased. In 2015, I along with my colleagues, developed and subsequently published (in the journal Frontiers in Psychology) a new scale to assess shopping addiction – the 7-item Bergen Shopping Addiction Scale (BSAS) which I wrote about in one of my previous blogs.

We noted in our Frontiers in Psychology paper that two scales had already been developed in the 2000s (i.e., one by Dr. George Christo and colleagues in 2003, and one by Dr. Nancy Ridgway and colleagues in 2008 – see ‘Further reading’ below), but that neither of these two instruments approached problematic shopping behaviour as an addiction in terms of core addiction criteria that are often used in the behavioural addiction field including salience, mood modification, tolerance, withdrawal, conflict, relapse, and problems. We also made the point that new Internet-related technologies have now greatly facilitated the emergence of problematic shopping behaviour because of factors such as accessibility, affordability, anonymity, convenience, and disinhibition, and that there was a need for a psychometrically robust instrument that assessed problematic shopping across all platforms (i.e., both online and offline). We concluded that the BSAS has good psychometrics, structure, content, convergent validity, and discriminative validity, and that researchers should consider using it in epidemiological studies and treatment settings concerning shopping addiction.

More recently, Srikant Amrut Manchiraju, Sadachar and Jessica Ridgway developed something they called the Compulsive Online Shopping Scale (COSS) in the International Journal of Mental Health and Addiction (IJMHA). Given that we had just developed a new shopping addiction scale that covered shopping across all media, we were interested to read about the new scale. The scale was a 28-item scale and was based on the 28 items included in the first step of BSAS development (i.e., initial 28-item pool). As the authors noted:

“First, to measure compulsive online shopping, we adopted the Bergen Shopping Addiction Scale (BSAS; Andreassen, 2015). The BSAS developed by Andreassen et al. (2015), was adapted for this study because it meets the addiction criteria (e.g., salience, mood modification, etc.) established in the DSM-5. In total, 28 items from the BSAS were modified to reflect compulsive online shopping. For example, the original item – ‘Shopping/buying is the most important thing in my life’ was modified as ‘Online shopping/buying is the most important thing in my life’… It is important to note that we are proposing a new behavioral addiction scale, specifically compulsive online shopping … In conclusion, the scale developed in this study demonstrated strong psychometric, structure, convergent, and discriminant validity, which is consistent with Andreassen et al.’s (2015) findings”.

Apart from the addition of the word ‘online’ to every item, all initial 28 items of the BSAS were used identically in the COSS. Therefore, I sought the opinion of several research colleagues about the ‘new’ scale. Nearly all were very surprised that an almost identical scale had been published. Some even questioned whether such wholescale use might constitute plagiarism (particularly as none of the developers of the COSS sought permission to adapt our scale).

According to the plagiarism.org website, several forms of plagiarism have been described including: “Copying so many words or ideas from a source that it makes up the majority of your work, whether you give credit or not” (p.1). Given the word-for-word reproduction of the 28 item–pool, an argument could be made that the COSS plagiarizes the BSAS, even though the authors acknowledge the source of their scale items. According to Katrina Korb’s 2012 article on adopting or adapting psychometric instruments:

“Adapting an instrument requires more substantial changes than adopting an instrument. In this situation, the researcher follows the general design of another instrument but adds items, removes items, and/or substantially changes the content of each item. Because adapting an instrument is similar to developing a new instrument, it is important that a researcher understands the key principles of developing an instrument…When adapting an instrument, the researcher should report the same information in the Instruments section as when adopting the instrument, but should also include what changes were made to the instrument and why” (p.1).

Dr. Manchiraju and his colleagues didn’t add or remove any of the original seven items, and did not substantially change the content of any of the 28 items on which the BSAS was based. They simply added the word ‘online’ to each existing item. Given that the BSAS was specifically developed to take into account the different ways in which people now shop and to include both online and offline shopping, there doesn’t seem to be a good rationale for developing an online version of the BSAS. Even if there was a good rationale, the scale could have made reference to the Bergen Shopping Addiction Scale in the name of the ‘new’ instrument. In a 2005 book chapter ‘Selected Ethical Issues Relevant to Test Adaptations’ by Dr. Thomas Oakland (2005), he noted the following in relation to plagiarism and psychometric test development:

“Psychologists do not present portions of another’s work or data as their own, even if the other work or data source is cited … Plagiarism occurs commonly in test adaptation work (Oakland & Hu, 1991), especially when a test is adapted without the approval of its authors and publisher. Those who adapt a test by utilizing items from other tests without the approval of authors and publishers are likely to be violating ethical standards. This practice should not be condoned. Furthermore, this practice may violate laws in those countries that provide copyright protection to intellectual property. In terms of scale development, a measure that has the same original items with only one word added to each item (which only adds information on the context but does not change the meaning of the item) does not really constitute a new scale. They would find it really hard to demonstrate discriminant validity between the two measures”.

Again, according to Oakland’s description of plagiarism specifically in relation to the development of psychometric tests (rather than plagiarism more generally), the COSS appears to have plagiarized the BSAS particularly as Oakland makes specific reference to the adding of one word to each item (“In terms of scale development, a measure that has the same original items with only one word added to each item … does not really constitute a new scale”).

Still, it is important to point that I have no reason to think that this use of the BSAS was carried out maliciously. Indeed, it may well be that the only wrongdoing was lack of familiarity with the conventions of psychometric scale development. It may be that the authors took one line in our original Frontiers in Psychology paper too literally (“the BSAS may be freely used by researchers in their future studies in this field”). However, the purpose of this sentence was to give fellow researchers permission to use the validated scale in their own studies and to avoid the inconvenience of having to request permission to use the BSAS and then waiting for an answer. Another important aspect here is that the BSAS (which may be freely used) consists of seven items only, not 28. The seven BSAS items were extracted from an initial item pool in accordance with our intent to create a brief shopping addiction scale. Consequently, there exists only one version of BSAS, the 7-item version. Here, Dr. Manchiraju and his colleagues seem to have misinterpreted this when referring to a 28-item BSAS.

(Please note: This blog is adapted using material from the following paper: Griffiths, M.D., Andreassen, C.S., Pallesen, S., Bilder, R.M., Torsheim, T. Aboujaoude, E.N. (2016). When is a new scale not a new scale? The case of the Bergen Shopping Addiction Scale and the Compulsive Online Shopping Scale. International Journal of Mental Health and Addiction, 14, 1107-1110).

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

Further reading

Aboujaoude, E. (2014). Compulsive buying disorder: a review and update. Current Pharmaceutical Design, 20, 4021–4025.

Andreassen, C. S., Griffiths, M. D., Pallesen, S., Bilder, R. M., Torsheim, T., & Aboujaoude, E. (2015). The Bergen Shopping Addiction Scale: reliability and validity of a brief screening test. Frontiers in Psychology, 6, 1374. doi: 10.3389/fpsyg.2015.01374

Christo, G., Jones, S., Haylett, S., Stephenson, G., Lefever, R. M., & Lefever, R. (2003). The shorter PROMIS questionnaire: further validation of a tool for simultaneous assessment of multiple addictive behaviors. Addictive Behaviors, 28, 225–248.

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

Griffiths, M.D., Andreassen, C.S., Pallesen, S., Bilder, R.M., Torsheim, T. Aboujaoude, E.N. (2016). When is a new scale not a new scale? The case of the Bergen Shopping Addiction Scale and the Compulsive Online Shopping Scale. International Journal of Mental Health and Addiction, 14, 1107-1110.

Korb, K. (2012). Adopting or adapting an instrument. Retrieved September 12, 2016, from: http://korbedpsych.com/R09aAdopt.html

Manchiraju, S., Sadachar, A., & Ridgway, J. L. (2016). The Compulsive Online Shopping Scale (COSS): Development and Validation Using Panel Data. International Journal of Mental Health and Addiction, 1-15. doi: 10.1007/s11469-016-9662-6.

Maraz, A., Eisinger, A., Hende, Urbán, R., Paksi, B., Kun, B., Kökönyei, G., Griffiths, M.D. & Demetrovics, Z. (2015). Measuring compulsive buying behaviour: Psychometric validity of three different scales and prevalence in the general population and in shopping centres. Psychiatry Research, 225, 326–334.

Maraz, A., Griffiths, M. D., & Demetrovics, Z. (2016). The prevalence of compulsive buying in non-clinical populations: A systematic review and meta-analysis. Addiction, 111, 408-419.

Oakland, T. (2005). Selected ethical issues relevant to test adaptations. In Hambleton, R., Spielberger, C. & Meranda, P. (Eds.). Adapting educational and psychological tests for cross-cultural assessment (pp. 65-92). Mahwah, NY: Erlbaum Press.

Oakland, T., & Hu, S. (1991). Professionals who administer tests with children and youth: An international survey. Journal of Psychoeducational Assessment, 9(2), 108-120.

Plagiarism.org (2016). What is plagiarism? Retrieved September 12, 2016, from: http://www.plagiarism.org/plagiarism-101/what-is-plagiarism

Ridgway, N., Kukar-Kinney, M., & Monroe, K. (2008). An expanded conceptualization and a new measure of compulsive buying. Journal of Consumer Research, 35, 622–639.

Weinstein, A., Maraz, A., Griffiths, M.D., Lejoyeux, M. & Demetrovics, Z. (2016). Shopping addiction and compulsive buying: Features and characteristics of addiction. In V. Preedy (Ed.), The Neuropathology Of Drug Addictions And Substance Misuse (Vol. 3). (pp. 993-1008). London: Academic Press.

Surprise, surprise: A brief overview of our recent papers on strange addictions and behaviours

Following my recent blogs where I outlined some of the papers that my colleagues and I have published on mindfulness, Internet addiction, gaming addiction, youth gambling, workaholism, exercise addiction, and sex addiction, here is a round-up of recent papers that my colleagues and I have published on strange and/or surprising addictions and behaviours.

Foster, A.C., Shorter, G.W. & Griffiths, M.D. (2015). Muscle Dysmorphia: Could it be classified as an Addiction to Body Image? Journal of Behavioral Addictions, 4, 1-5.

• Background: Muscle dysmorphia (MD) describes a condition characterised by a misconstrued body image in which individuals who interpret their body size as both small or weak even though they may look normal or highly muscular. MD has been conceptualized as a type of body dysmorphic disorder, an eating disorder, and obsessive–compulsive disorder symptomatology. Method and aim: Through a review of the most salient literature on MD, this paper proposes an alternative classification of MD – the ‘Addiction to Body Image’ (ABI) model – using Griffiths (2005) addiction components model as the framework in which to define MD as an addiction. Results: It is argued the addictive activity in MD is the maintaining of body image via a number of different activities such as bodybuilding, exercise, eating certain foods, taking specific drugs (e.g., anabolic steroids), shopping for certain foods, food supplements, and the use or purchase of physical exercise accessories). In the ABI model, the perception of the positive effects on the self-body image is accounted for as a critical aspect of the MD condition (rather than addiction to exercise or certain types of eating disorder). Conclusions: Based on empirical evidence to date, it is proposed that MD could be re-classified as an addiction due to the individual continuing to engage in maintenance behaviours that may cause long-term harm.

Griffiths, M.D., Foster, A.C. & Shorter, G.W. (2015). Muscle dysmorphia as an addiction: A response to Nieuwoudt (2015) and Grant (2015). Journal of Behavioral Addictions, 4, 11-13.

• Background: Following the publication of our paper ‘Muscle Dysmorphia: Could it be classified as an addiction to body image?’ in the Journal of Behavioral Addictions, two commentaries by Jon Grant and Johanna Nieuwoudt were published in response to our paper. Method: Using the ‘addiction components model’, our main contention is that muscle dysmorphia (MD) actually comprises a number of different actions and behaviors and that the actual addictive activity is the maintaining of body image via a number of different activities such as bodybuilding, exercise, eating certain foods, taking specific drugs (e.g., anabolic steroids), shopping for certain foods, food supplements, and purchase or use of physical exercise accessories. This paper briefly responds to these two commentaries. Results: While our hypothesized specifics relating to each addiction component sometimes lack empirical support (as noted explicitly by both Nieuwoudt and Grant), we still believe that our main thesis (that almost all the thoughts and behaviors of those with MD revolve around the maintenance of body image) is something that could be empirically tested in future research by those who already work in the area. Conclusions: We hope that the ‘Addiction to Body Image’ model we proposed provides a new framework for carrying out work in both empirical and clinical settings. The idea that MD could potentially be classed as an addiction cannot be negated on theoretical grounds as many people in the addiction field are turning their attention to research in new areas of behavioral addiction.

Maraz, A., Király, O., Urbán, R., Griffiths, M.D., Demetrovics, Z. (2015). Why do you dance? Development of the Dance Motivation Inventory (DMI). PLoS ONE, 10(3): e0122866. doi:10.1371/ journal.pone.0122866

• Dancing is a popular form of physical exercise and studies have show that dancing can decrease anxiety, increase self-esteem, and improve psychological wellbeing. The aim of the current study was to explore the motivational basis of recreational social dancing and develop a new psychometric instrument to assess dancing motivation. The sample comprised 447 salsa and/or ballroom dancers (68% female; mean age 32.8 years) who completed an online survey. Eight motivational factors were identified via exploratory factor analysis and comprise a new Dance Motivation Inventory: Fitness, Mood Enhancement, Intimacy, Socialising, Trance, Mastery, Self-confidence and Escapism. Mood Enhancement was the strongest motivational factor for both males and females, although motives differed according to gender. Dancing intensity was predicted by three motivational factors: Mood Enhancement, Socialising, and Escapism. The eight dimensions identified cover possible motives for social recreational dancing, and the DMI proved to be a suitable measurement tool to assess these motives. The explored motives such as Mood Enhancement, Socialising and Escapism appear to be similar to those identified in other forms of behaviour such as drinking alcohol, exercise, gambling, and gaming.

Maraz, A., Urbán, R., Griffiths, M.D. & Demetrovics Z. (2015). An empirical investigation of dance addiction. PloS ONE, 10(5): e0125988. doi:10.1371/journal.pone.0125988.

• Although recreational dancing is associated with increased physical and psychological well-being, little is known about the harmful effects of excessive dancing. The aim of the present study was to explore the psychopathological factors associated with dance addiction. The sample comprised 447 salsa and ballroom dancers (68% female, mean age: 32.8 years) who danced recreationally at least once a week. The Exercise Addiction Inventory (Terry, Szabo, & Griffiths, 2004) was adapted for dance (Dance Addiction Inventory, DAI). Motivation, general mental health (BSI-GSI, and Mental Health Continuum), borderline personality disorder, eating disorder symptoms, and dance motives were also assessed. Five latent classes were explored based on addiction symptoms with 11% of participants belonging to the most problematic class. DAI was positively associated with psychiatric distress, borderline personality and eating disorder symptoms. Hierarchical linear regression model indicated that Intensity (ß=0.22), borderline (ß=0.08), eating disorder (ß=0.11) symptoms, as well as Escapism (ß=0.47) and Mood Enhancement (ß=0.15) (as motivational factors) together explained 42% of DAI scores. Dance addiction as assessed with the Dance Addiction Inventory is associated with indicators of mild psychopathology and therefore warrants further research.

Greenhill, R. & Griffiths, M.D. (2015). Compassion, dominance/submission, and curled lips: A thematic analysis of dacryphilic experience. International Journal of Sexual Health, 27, 337-350.

• Objectives: Dacryphilia is a non-normative sexual interest that involves enjoyment or arousal from tears and crying, and to date has never been researched empirically. The present study set out to discover the different interests within dacryphilia and explore the range of dacryphilic experience. Methods: A set of online interviews were carried out with individuals with dacryphilic preferences and interests (six females and two males) from four countries. The data were analyzed for semantic and latent themes using thematic analysis. Results: The respondents’ statements focused attention on three distinct areas that may be relevant to the experience of dacryphilia: (i) compassion; (ii) dominance/submission; and (iii) curled-lips. The data provided detailed descriptions of features within all three interests, which are discussed in relation to previous quantitative and qualitative research within emotional crying and tears, and the general area of non-normative sexual interests. Conclusions: The study suggests new directions for potential research both within dacryphilia and with regard to other non-normative sexual interests.

Atroszko, P.A., Andreassen, C.S., Griffiths, M.D. & Pallesen, S. (2015). Study addiction – A new area of psychological study: Conceptualization, assessment, and preliminary empirical findings. Journal of Behavioral Addictions, 4, 75–84.

• Aims: Recent research has suggested that for some individuals, educational studying may become compulsive and excessive and lead to ‘study addiction’. The present study conceptualized and assessed study addiction within the framework of workaholism, defining it as compulsive over-involvement in studying that interferes with functioning in other domains and that is detrimental for individuals and/or their environment. Methods: The Bergen Study Addiction Scale (BStAS) was tested — reflecting seven core addiction symptoms (salience, mood modification, tolerance, withdrawal, conflict, relapse, and problems) — related to studying. The scale was administered via a cross-sectional survey distributed to Norwegian (n = 218) and Polish (n = 993) students with additional questions concerning demographic variables, study-related variables, health, and personality. Results: A one-factor solution had acceptable fit with the data in both samples and the scale demonstrated good reliability. Scores on BStAS converged with scores on learning engagement. Study addiction (BStAS) was significantly related to specific aspects of studying (longer learning time, lower academic performance), personality traits (higher neuroticism and conscientiousness, lower extroversion), and negative health-related factors (impaired general health, decreased quality of life and sleep quality, higher perceived stress). Conclusions: It is concluded that BStAS has good psychometric properties, making it a promising tool in the assessment of study addiction. Study addiction is related in predictable ways to personality and health variables, as predicted from contemporary workaholism theory and research.

Atroszko, P.A., Andreassen, C.S., Griffiths, M.D. & Pallesen, S. (2016). Study addiction: A cross-cultural longitudinal study examining temporal stability and predictors of its changes. Journal of Behavioral Addictions, 5, 357–362.

• Background and aims: ‘Study addiction’ has recently been conceptualized as a behavioral addiction and defined within the framework of work addiction.  Using a newly developed measure to assess this construct, the Bergen Study Addiction Scale (BStAS), the present study examined the one-year stability of study addiction and factors related to changes in this construct over time, and is the first longitudinal investigation of study addiction thus far. Methods: The BStAS and the Ten Item Personality Inventory (TIPI) were administered online together with questions concerning demographics and study-related variables in two waves. In Wave 1, a total of 2,559 students in Norway and 2,177 students in Poland participated. A year later, in Wave 2, 1,133 Norwegians and 794 Polish who were still students completed the survey. Results: The test-retest reliability coefficients for the BStAS revealed that the scores were relatively stable over time. In Norway scores on the BStAS were higher in Wave 2 than in Wave 1, while in Poland the reverse pattern was observed. Learning time outside classes at Wave 1 was positively related to escalation of study addiction symptoms over time in both samples. Being female and scoring higher on neuroticism were related to an increase in study addiction in the Norwegian sample only. Conclusion: Study addiction appears to be temporally stable, and the amount of learning time spent outside classes predicts changes in study addiction one year later.

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

Further reading

Greenhill, R. & Griffiths, M.D. (2014). The use of online asynchronous interviews in the study of paraphilias. SAGE Research Methods Cases. Located at: http://dx.doi.org/10.4135/978144627305013508526

Greenhill, R. & Griffiths, M.D. (2016). Sexual interest as performance, intellect and pathological dilemma: A critical discursive case study of dacryphilia. Psychology and Sexuality, 7, 265-278.

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

Griffiths, M.D. (1999). Dying for it: Autoerotic deaths. Bizarre, 24, 62-65.

Griffiths, M.D. (2001). Stumped! Amputee fetishes. Bizarre, 44, 70-74.

Griffiths, M.D. (2001). Heaven can wait: The psychology of near death experiences. Bizarre, December, 63-66.

Griffiths, M.D. (2012). The use of online methodologies in studying paraphilia: A review. Journal of Behavioral Addictions, 1, 143-150.

Griffiths, M.D. (2013). Bizarre sex. New Turn Magazine, 3, 49-51.

Griffiths, M.D. (2013). Eproctophilia in a young adult male: A case study. Archives of Sexual Behavior, 42, 1383-1386.