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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.

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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.

Meditation as self-medication: Can mindfulness be addictive?

(Please note, the following blog is an extended version of an article by my research colleagues Dr. Edo Shonin and William Van Gordon (that was first published hereand to which I have added some further text. If citing this article, we recommend: Shonin, E., Van Gordon, W. & Griffiths, M.D. (2016). Meditation as self-medication: Can mindfulness be addictive? Located at: https://drmarkgriffiths.wordpress.com/2016/10/24/meditation-as-self-medication-can-mindfulness-be-addictive/).

Mindfulness is growing in popularity and is increasingly being used by healthcare professionals for treating mental health problems. There has also been a gradual uptake of mindfulness by a range of organisations including schools, universities, large corporations, and the armed forces. However, the rate at which mindfulness has been assimilated by Western society has – in our opinion – meant that there has been a lack of research exploring the circumstances where mindfulness may actually cause a person harm. An example of a potentially harmful consequence of mindfulness that we have identified in our own research is that of a person developing an addiction to mindfulness.

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In a previous blog, the issue of whether meditation more generally can be addictive was examined. In a 2010 article by Michael Sigman in the Huffington Post entitled “Meditation and Addiction: A Two-Way Street?”, Sigman recounted the story about how one of his friends spent over two hours every day engaging in meditation while sat in the lotus position. He then claimed:

“There are those few for whom meditation can become compulsive, even addictive. The irony here is that an increasing body of research shows that meditation – in particular Buddhist Vipassana meditation – is an effective tool in treating addiction. One category of meditation addiction is related to the so-called ‘spiritual bypass’. Those who experience bliss when they meditate may practice relentlessly to recreate that experience, at the expense of authentic self-awareness. A close friend who’s done Transcendental Meditation for decades feels so addicted to it, she has a hard time functioning when she hasn’t ‘transcended’”.

Obviously, this is purely anecdotal but at least raises the issue that maybe for a very small minority, meditation might be addictive. In addition, empirical studies have shown that meditation can increase pain tolerance, and that the body produces its own morphine-like substances (i.e., endorphins). Therefore, the addictive qualities of meditation may be due to increased endorphin production that creates a semi-dissociative blissful state.

Being addicted to meditation – and more specifically mindfulness – would constitute a form of behavioural addiction (i.e., as opposed to chemical addiction). Examples of better known forms of behavioural addiction are gambling disorder, internet gaming disorder, problematic internet use, sex addiction, and workaholism. According to the components model of addiction, a person would suffer from an addiction to mindfulness if they satisfied the following six criteria:

  • Salience: Mindfulness has become the single most important activity in their life.
  • Mood modification: Mindfulness is used in order to alleviate emotional stress (i.e., escape) or to experience euphoria (i.e., a ‘high’).
  • Tolerance: Practising mindfulness for longer durations in order to derive the same mood-modifying effects.
  • Withdrawal: Experiencing emotional and physical distress (e.g., painful bodily sensations) when not practising mindfulness.
  • Conflict: The individual’s routine of mindfulness practice causes (i) interpersonal conflict with family members and friends, (ii) conflict with activities such as work, socialising, and exercising, and (iii) psychological and emotional conflict (also known as intra-psychic conflict).
  • Relapse: Reverting to earlier patterns of excessive mindfulness practice following periods of control or abstinence.

In modern society, the word ‘addiction’ has negative connotations but it should be remembered that addictions have been described by some as both positive and negative (for instance, Dr. Bill Glasser has spent his whole career talking about ‘positive’ addictions). For example, in separate clinical case studies that we conducted with individuals suffering from pathological gambling, sex addiction, and workaholism, it was observed that the participants substituted their addiction to gambling, work, or sex with mindfulness (and maybe even developed an addiction to it, depending upon the definition of addiction). In the beginning phases of psychotherapy, this process of addiction substitution represented a move forward in terms of the individual’s therapeutic recovery. However, as the therapy progressed and the individual’s dependency on gambling, work, or sex began to weaken, their “addiction” to mindfulness was restricting their personal and spiritual growth, and was starting to cause conflict in other areas of their life. Therefore, it became necessary to help them change the way they practiced and related to mindfulness.

Mindfulness is a technique or behaviour that an individual can choose to practice. However, the idea is that the individual doesn’t separate mindfulness from the rest of their lives. If an individual sees mindfulness as a practice or something that they need to do in order to find calm and escape from their problems, there is a risk that they will become addicted to it. It is for this reason that we always exercise caution before recommending that people follow a strict daily routine of mindfulness practice. In fact, in the mindfulness intervention that we (Shonin and Van Gordon) developed called Meditation Awareness Training, we don’t encourage participants to practice at set times of day or to adhere to a rigid routine. Rather, we guide participants to follow a dynamic routine of mindfulness practice that is flexible and that can be adapted according to the demands of daily living. For example, if a baby decides to wake up earlier than usual one morning, the mother can’t tell it to wait and be quite because it’s interfering with her time for practising mindfulness meditation. Rather, she has to tend to the baby and find another time to sit in meditation. Or better still, she can tend to the baby with love and awareness, and turn the encounter with her child into a form of mindfulness practice. We live in a very uncertain world and so it is valuable if we can learn to be accommodating and work mindfully with situations as they unfold around us.

One of the components in the components model of addiction is ‘salience’ (put more simply, importance). In general, if an individual prioritises a behaviour (such as gambling) or a substance (such as cannabis) above all other aspects of their life, then it’s probably fair to say that their perspective on life is misguided and that they are in need of help and support. However, as far as mindfulness is concerned, we would argue that it’s good if it becomes the most important thing in a person’s life. Human beings don’t live very long and there can be no guarantee that a person will survive the next week, let alone the next year. Therefore, it’s our view that it is a wise move to dedicate oneself to some form of authentic spiritual practice. However, there is a big difference between understanding the importance of mindfulness and correctly assimilating it into one’s life, and becoming dependent upon it.

If a person becomes dependent upon mindfulness, it means that it has remained external to their being. It means that they don’t live and breathe mindfulness, and that they see it as a method of coping with (or even avoiding) the rest of their life. Under these circumstances, it’s easy to see how a person can develop an addiction to mindfulness, and how they can become irritable with both themselves and others when they don’t receive their normal ‘fix’ of mindfulness on a given day.

Mindfulness is a relatively simple practice but it’s also very subtle. It takes a highly skilled and experienced meditation teacher to correctly and safely instruct people in how to practise mindfulness. It’s our view that because the rate of uptake of mindfulness in the West has been relatively fast, in the future there will be more and more people who experience problems – including mental health problems such as being addicted to mindfulness – as a result of practising mindfulness. Of course, it’s not mindfulness itself that will cause their problems to arise. Rather, problems will arise because people have been taught how to practice mindfulness by instructors who are not teaching from an experiential perspective and who don’t really know what they are talking about. From personal experience, we know that mindfulness works and that it is good for a person’s physical, mental, and spiritual health. However, we also know that teaching mindfulness and meditation incorrectly can give rise to harmful consequences, including developing an addiction to mindfulness.

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

Further Reading

Glasser, W. (1976). Positive addictions. Harper & Row, New York, NY.

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. (2011). Behavioural addiction: The case for a biopsychosocial approach. Trangressive Culture, 1, 7-28.

Larkin, M., Wood, R.T.A. & Griffiths, M.D. (2006). Towards addiction as relationship. Addiction Research and Theory, 14, 207-215.

Shonin, E., Van Gordon, W., & Griffiths, M. D. (2013). Buddhist philosophy for the treatment of problem gambling. Journal of Behavioral Addictions, 2, 63-71.

Shonin, E., Van Gordon, W., & Griffiths, M.D. (2014). The treatment of workaholism with Meditation Awareness Training: A case study. Explore: The Journal of Science and Healing, 10, 193-195.

Shonin, E., Van Gordon W., & Griffiths, M.D. (2014). Mindfulness as a treatment for behavioral addiction. Journal of Addiction Research and Therapy, 5, e122. doi: 10.4172/2155- 6105.1000e122.

Shonin, E., Van Gordon W., & Griffiths, M.D. (2015). Are there risks associated with using mindfulness for the treatment of psychopathology? Clinical Practice, 11, 389-382.

Shonin, E., Van Gordon, W., & Griffiths, M.D. (2016). Mindfulness and Buddhist-derived Approaches in Mental Health and Addiction. New York: Springer.

Sigman, M. (2010). Meditation and addiction: A two-way street? Huffington Post, November 15. Located at: http://www.huffingtonpost.com/michael-sigman/meditation-and-addiction_b_783552.htm

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

Van Gordon, W., Shonin, E., & Griffiths, M.D. (2015). Mindfulness in mental health: A critical reflection. Journal of Psychology, Neuropsychiatric Disorders and Brain Stimulation, 1(1), 102.

Van Gordon, W., Shonin, E., & Griffiths, M.D. (2016). Meditation Awareness Training for the treatment of sex addiction: A case study. Journal of Behavioral Addiction, 5, 363-372.

Van Gordon, W., Shonin, E., & Griffiths, M.D. (2016). Ontological addiction: Classification, etiology, and treatment. Mindfulness, 7, 660-671.

Ride on high: Another look at the psychology (and cycleology) of ‘cycling addiction’

Back in 2012, I wrote an article on cycling addiction for my blog and classed the behaviour as a sub-type of exercise addiction. Recently (June 2016), I was interviewed by Cycling Weekly magazine for an article on addiction to cycling, so I thought it opportune to look at the issue again. Over the last five years or so there has been an increase in the amount of research into exercise addiction (as I have outlined in a number of papers with my Hungarian colleagues Attila Szabo and Zsolt Demetrovics – see ‘Further reading’ below). However, there has still been no empirical research specifically into cycling addiction. In his 1997 book Motivation and Emotion in Sport, Dr. John Kerr speculated that endurance type exercise activities (e.g. running, cycling, swimming, aerobics and weight training) were most often associated with exercise addiction and dependence but this was based more on anecdotal as opposed to scientific evidence.

For the Cycling Weekly article, I was interviewed by Dr. Josephine Perry (who just happed to be both a psychologist and a cyclist). She noted in her article that:

“As a regular cyclist, it’s very likely you take a close interest in performance and have a strong drive to improve coupled with a willingness to push yourself hard in training and racing. Sometimes you probably feel under attack from family or colleagues who question or tease you about your ‘obsessive’ cycling habit. You no doubt retaliate by citing the many benefits of cycling: the brilliant friendships, massive health improvements, toned body and all the places you get to explore on your bike. But do your critics occasionally have a point? Does your relentless drive to improve sometimes go too far and place you in danger of crossing the thin line from dedication into addiction? Addiction to cycling is defined by an incessant internal need to train hard every day without taking the time off that you need to rest and recover — not to mention attend to other commitments in your life. In other words, addiction is defined by harm. You ignore the pleas from family or friends to cut back. Your priorities get rearranged, and nothing is allowed to come between you and your bike. Once this line is crossed, the benefits of cycling begin to diminish. The addicted cyclist feels more aches and pains, becomes prone to physical injuries, regular colds and hidden illnesses”.

In a recent (2016) book chapter, my colleagues and I noted that exercise addiction (irrespective of the sub-type) is a condition in which a regularly exercising person loses control over her or his exercise behaviour, while acting compulsively and exhibiting dependence, resulting in negative consequences in their day-to-day health and/or life. This maladaptive exercise behaviour is characterized by severe withdrawal symptoms when exercise is not possible, similar to both chemical addictions (e.g., alcohol addiction) and other behavioural addictions (e.g., gambling addiction). Based on the scientific evidence, exercise addiction is relatively rare, ranging from 0.3% to 0.5% as noted in the only study published using a representative national sample of the general population that we carried out in Hungary back in 2012 (published in the journal Psychology of Sport and Exercise). Given that exercise addiction (in general) is rare, the prevalence of cycling addiction would therefore be even lower. However, that doesn’t mean it doesn’t exist.

A recent study carried out by Dr. Bernd Zeulner and his colleagues among 1,031 endurance athletes (that included an unspecified number of cyclists) assessed the prevalence of exercise addiction using the Exercise Addiction Inventory (EAI; a scale that I co-developed with my colleagues Attila Szabo and Annabel Terry). The study (published in the journal Advances in Physical Education) found that 2.7% had the potential to develop an exercise addiction and that is higher than the prevalence among the general population.

Another study published in the Journal of Clinical Sport Psychology by Dr. Jason Youngman and Dr. Duncan Simpson examined exercise addiction among 1,285 triathletes (cycling, swimming and running) also using the EAI. The study found that approximately 20% of triathletes were at risk for exercise addiction, and that training for longer distance races puts triathletes at greater risk for exercise addiction than training for shorter races. They also found that as the number of weekly training hours increased, so did a triathlete’s risk for exercise addiction. Despite the lack of empirical evidence specifically on cycling addiction, Dr. Perry also noted in her article that:

“[Addicted cyclists] can also become susceptible to burnout and all that comes with it: decreased performance, low mood, changes in appetite, difficulty sleeping and generally a feeling that the outcomes are not matching the intensity of the effort being put in. For a cycling addict, this loss of form and the feelings of difficulty can be devastating…Other research has found the risks are highest in those exercising over five times a week. With the average amount of training for serious amateur cyclists being around 10 hours a week, they are certainly in the higher-risk category”.

I am not sure which study Dr. Perry is referring to in this quote, but in my interview with her, I noted that from my perspective, any behaviour can be potentially addictive if the reward mechanisms are in place but that we should be cautious about imposing the ‘addiction’ label. I told her that we can’t define whether someone is addicted just by the behaviour that they display. It is all to do with the context of that behaviour in their life. More importantly, it’s is not about the amount of time spent engaging in the behaviour but what impact the behaviour has on them. As I explained:

“A healthy enthusiasm adds to their life. An addiction takes away from it. If you have no dependants and both you and your partner enjoy the sport and there is no conflict, it would not be classed as an addiction. If family conflict becomes a factor, the exercise habit becomes fraught with complications.”

I noted in my previous blog on cycling addiction that one of the traits that appears to be associated with exercise addiction is perfectionism according to a 1990 paper by Dr. Caroline Davis that appeared in the journal Personality and Individual Differences. Research (by Dr. Heather Hasenblaus among others) has also found that extraversion, neuroticism, and agreeableness predict exercise addiction symptoms. I also noted in my interview with Dr. Perry that some people (such as those with Type A personalities) appear to have their risk for exercise addiction built into them. Some cyclists will be those Type-A achievers who are reward-orientated to do the best they can, in whatever they do. If they take up a sport, those personality traits previously used to be successful and focused in other areas such as work go into the new area.

I also noted in my Cycling Weekly interview that there are a number of signs that can help you spot if your attitude towards cycling is unhealthy. The most obvious one is when cycling becomes the most important activity in your life, dominating thinking, feelings and behaviour. If you need to cycle more to get the same mood benefit that you used to, your mood changes significantly and/or you feel physical effects when you can’t cycle, you may also be at risk. If you start to resent your family, job, social life, hobbies or other interests getting in the way of you cycling, you need to consider if you have crossed the line. Those addicted to cycling are more likely to get into debt to fund their habit, become excessively controlling over their eating to regulate weight and competitiveness, and find it hard to balance work, social and family commitments with training.

I was also asked for my views on the treatment of cycling addiction and said that cognitive-behavioural therapy would likely be the most effective (as the addict would be guided to identify goals that motivate them and be helped to find safe and reasonable ways to reach those goals) but that the type of treatment depends on whether the addiction to cycling was primary or secondary. Primary addicts, who are actually addicted because they love their sport, will find it is very hard to give up. Telling them they can’t continue will be stressful in itself. Secondary addicts may be trying to lose weight or to escape negative, unpleasant feelings or difficulties in their lives, using cycling to control their thoughts. These cyclists are using exercise as a coping mechanism. The key here is finding out why they are doing it to such an extent in the first place. Most will find their addiction is symptomatic of something else.

After interviewing me about whether cycling can be potentially addictive, Dr. Perry summed up my own views arguably better than I could have done it myself:

“[Cycling addiction] is not just about how many hours you are doing on the bike, how much you love your riding, or how many bikes you have; what matters is the impact on your life. If your work and family life allows it without conflict, and you’re not feeling over-stressed or over-tired, then your commitment to cycling is just that – a commitment. If you are suffering from continual injuries and not recovering fully, have found yourself feeling burnt out, dips in mood, feel obliged to miss family or social events for training, resulting in arguments, then you need to ask yourself seriously: am I addicted?”

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

Further reading

Allegre, B., Souville, M., Therme, P. & Griffiths, M.D. (2006). Definitions and measures of exercise dependence, Addiction Research and Theory, 14, 631-646.

Berczik, K., Griffiths, M.D., Szabó, A., Kurimay, T., Kökönyei, G., Urbán, R. and Demetrovics, Z. (2014). Exercise addiction – the emergence of a new disorder. Australasian Epidemiologist, 21(2), 36-40.

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

Berczik, K., Szabó, A., Griffiths, M.D., Kurimay, T., Kun, B. & Demetrovics, Z. (2011). Exercise addiction: Symptoms, diagnosis, epidemiology, and etiology. Substance Use and Misuse, 47, 403-417.

Davis, C. (1990). Weight and diet preoccupation and addictiveness: The role of exercise. Personality and Individual Differences, 11, 823-827.

Freimuth, M., Moniz, S., & Kim, S.R. (2011). Clarifying exercise addiction: differential diagnosis, co-occurring disorders, and phases of addiction. International Journal of Environmental Research and Public Health, 8(10), 4069-4081.

Griffiths, M. D. (1997). Exercise addiction: A case study. Addiction Research, 5, 161-168.

Griffiths, M. D., Szabo, A., & Terry, A. (2005). The exercise addiction inventory: a quick and easy screening tool for health practitioners. British Journal of Sports Medicine, 39(6), e30-31.

Griffiths, M.D., Urbán, R., Demetrovics, Z., Lichtenstein, M.B., de la Vega, R., Kun, B., Ruiz-Barquín, R., Youngman, J. & Szabo, A. (2015). A cross-cultural re-evaluation of the Exercise Addiction Inventory (EAI) in five countries. Sports Medicine Open, 1:5.

Hausenblas, H.A., & Giacobbi, P.R. (2004). Relationship between exercise dependence symptoms and personality. Personality and Individual differences, 36(6), 1265-1273.

Kerr, J. H. (1997) Motivation and Emotion in Sport: Reversal Theory. Hove: Psychology Press.

Kerr, J.H., Lindner, K.J. & Blaydon, M. (2007). Exercise Dependence. Oxford: Rutledge.

Kurimay, T., Griffiths, M.D., Berczik, K., & Demetrovics, Z. (2013). Exercise addiction: The dark side of sports and exercise. In Baron, D., Reardon, C. & Baron, S.H., Contemporary Issues in Sports Psychiatry: A Global Perspective (pp.33-43). Chichester: Wiley.

Mónok, K., Berczik, K., Urbán, R., Szabó, A., Griffiths, M.D., Farkas, J., Magi, A., Eisinger, A., Kurimay, T., Kökönyei, G., Kun, B., Paksi, B. & Demetrovics, Z. (2012). Psychometric properties and concurrent validity of two exercise addiction measures: A population wide study in Hungary. Psychology of Sport and Exercise, 13, 739-746.

Perry, J. (2016). Are you addicted to cycling? Cycling Weekly, July 21. Located at: http://www.cyclingweekly.co.uk/fitness/training/are-you-addicted-to-cycling-261852

Szabo, A., Griffiths, M.D., de La Vega Marcos, R., Mervo, B. & Demetrovics, Z. (2015). Methodological and conceptual limitations in exercise addiction research. Yale Journal of Biology and Medicine, 86, 303-308.

Szabo, A., Griffiths, M.D. & Demetrovics, Z. (2016). Exercise addiction. In V. Preedy (Ed.), The Neuropathology Of Drug Addictions And Substance Misuse (Vol. 3) (pp. 984-992). London: Academic Press.

Terry, A., Szabo, A., & Griffiths, M. D. (2004). The exercise addiction inventory: A new brief screening tool. Addiction Research and Theory, 12, 489-499.

Youngman, J., & Simpson, D. (2014). Risk for exercise addiction: A comparison of triathletes training for sprint-, Olympic-, half-Ironman-, and Ironman-distance triathlons. Journal of Clinical Sport Psychology, 8, 19-37.

Zeulner, B., Ziemainz, H., Beyer, C., Hammon, M., & Janka, R. (2016). Disordered Eating and Exercise Dependence in Endurance Athletes. Advances in Physical Education, 6(2), 76.

Lust discussed: A brief overview of our recent papers on sex addiction

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, exercise addiction, and shopping addiction, here is a round-up of recent papers that my colleagues and I have published on sex addiction.

Griffiths, M.D. & Dhuffar, M. (2014). Treatment of sexual addiction within the British National Health Service. International Journal of Mental Health and Addiction, 12, 561-571.

  • At present, the prevalence of rates of sexual addiction in the UK is unknown. This study investigated what treatment services were available within British Mental Health Trusts (MHTs) that are currently provided for those who experience compulsive and/or addictive sexual behaviours within the National Health Service (NHS) system. In March and April 2013, a total of 58 letters were sent by email to all Mental Health Trusts in the UK requesting information about (i) sexual addiction services and (ii) past 5-year treatment of sexual addiction. The request for information was sent to all MHTs under the Freedom of Information Act (2001). Results showed that 53 of the 58 MHTs (91 %) did not provide any service (specialist or otherwise) for treating those with problematic sexual behaviours. Based on the responses provided, only five MHTs reported having had treated sexual addiction as a disorder that took primacy over the past 5 years. There was also some evidence to suggest that the NHS may potentially treat sexual addiction as a secondary disorder that is intrinsic and/or co-morbid to the initial referral made by the GP. In light of these findings, implications for the treatment of sex addiction in a British context are discussed.

Dhuffar, M. & Griffiths, M.D. (2014). Understanding the role of shame and its consequences in female hypersexual behaviours: A pilot study. Journal of Behavioural Addictions, 3, 231–237.

  • Background and aims: Hypersexuality and sexual addiction among females is a little understudied phenomenon. Shame is thought to be intrinsic to hypersexual behaviours, especially in women. Therefore, the aim of this study was to understand both hypersexual behaviours and consequences of hypersexual behaviours and their respective contributions to shame in a British sample of females (n = 102). Methods: Data were collected online via Survey Monkey. Results: Results showed the Sexual Behaviour History (SBH) and the Hypersexual Disorder Questionnaire (HDQ) had significant positive correlation with scores on the Shame Inventory. The results indicated that hypersexual behaviours were able to predict a small percentage of the variability in shame once sexual orientation (heterosexual vs. non-heterosexual) and religious beliefs (belief vs. no belief) were controlled for. Results also showed there was no evidence that religious affiliation and/or religious beliefs had an influence on the levels of hypersexuality and consequences of sexual behaviours as predictors of shame. Conclusions: While women in the UK are rapidly shifting to a feminist way of thinking with or without technology, hypersexual disorder may often be misdiagnosed and misunderstood because of the lack of understanding and how it is conceptualised. The implications of these findings are discussed.

Dhuffar, M. & Griffiths, M.D. (2015). A systematic review of online sex addiction and clinical treatments using CONSORT evaluation. Current Addiction Reports, 2, 163-174.

  • Researchers have suggested that the advances of the Internet over the past two decades have gradually eliminated traditional offline methods of obtaining sexual material. Additionally, research on cybersex and/or online sex addictions has increased alongside the development of online technology. The present study extended the findings from Griffiths’ (2012) systematic empirical review of online sex addiction by additionally investigating empirical studies that implemented and/or documented clinical treatments for online sex addiction in adults. A total of nine studies were identified and then each underwent a CONSORT evaluation. The main findings of the present review provide some evidence to suggest that some treatments (both psychological and/or pharmacological) provide positive outcomes among those experiencing difficulties with online sex addiction. Similar to Griffiths’ original review, this study recommends that further research is warranted to establish the efficacy of empirically driven treatments for online sex addiction.

Dhuffar, M. & Griffiths, M.D. (2015). Understanding conceptualisations of female sex addiction and recovery using Interpretative Phenomenological Analysis. Psychology Research, 5, 585-603.

  • Relatively little research has been carried out into female sex addiction. There is even less regarding understandings of lived experiences of sex addiction among females. Consequently, the purpose of the present study was to examine the experiences of female sex addiction (from onset to recovery). This was done by investigating the experiences and conceptualisations of three women who self-reported as having had a historical problem with sex addiction. An interpretative phenomenological analysis (IPA) methodology was applied in the current research process in which three female participants shared their journey through the onset, progression, and recovery of sex addiction. The IPA produced five superordinate themes that accounted for the varying degrees of sexual addiction among a British sample of females: (1) “Focus on self as a sex addict”; (2) “Uncontrollable desire”; (3) “Undesirable feelings”; (4) “Derision”; and (5) “Self help, treatment and recovery”. The implications of these findings towards the understanding and the need for the implementation of treatment are discussed.

Dhuffar, M., Pontes, H.M. & Griffiths, M.D. (2015). The role of negative mood states and consequences of hypersexual behaviours in predicting hypersexuality among university students. Journal of Behavioural Addictions, 4, 181–188.

  • The issue of whether hypersexual behaviours exist among university students is controversial because many of these individuals engage in sexual exploration during their time at university. To date, little is known about the correlates of hypersexual behaviours among university students in the UK. Therefore, the aims of this exploratory study were two-fold. Firstly, to explore and establish the correlates of hypersexual behaviours, and secondly, to investigate whether hypersexuality among university students can be predicted by variables relating to negative mood states (i.e., emotional dysregulation, loneliness, shame, and life satisfaction) and consequences of hypersexual behaviour.

Van Gordon, W., Shonin, E., & Griffiths, M.D. (2016). Meditation Awareness Training for the treatment of sex addiction: A case study. Journal of Behavioral Addictions, in press.

  • Sex addiction is a disorder that can have serious adverse functional consequences. Treatment effectiveness research for sex addiction is currently underdeveloped, and interventions are generally based on guidelines for treating other behavioural (as well as chemical) addictions. Consequently, there is a need to clinically evaluate tailored treatments that target the specific symptoms of sex addiction. It has been proposed that second-generation mindfulness-based interventions (SG-MBIs) may be an appropriate treatment for sex addiction because in addition to helping individuals increase perceptual distance from craving for desired objects and experiences, some SG-MBIs specifically contain meditations intended to undermine attachment to sex and/or the human body. To date, no study exploring the utility of mindfulness for treating sex addiction has been conducted. This paper presents an in-depth clinical case study of a male individual suffering from sex addiction that underwent treatment utilising an SG-MBI known as Meditation Awareness Training (MAT). Following completion of MAT, the participant demonstrated clinically significant improvements regarding the addictive sexual behaviour, as well less depression and psychological distress. The MAT intervention also led to improvements in sleep quality, job satisfaction, and non-attachment to self and experiences. Salutary outcomes were maintained at six-month follow-up. The current study extends the literature exploring the applications of mindfulness for treating behavioural addiction, and findings of this case study indicate that further clinical investigation into the role of mindfulness for treating sex addiction is warranted.

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

Further reading

Griffiths, M.D. (2000). Excessive internet use: Implications for sexual behavior. CyberPsychology and Behavior, 3, 537-552.

Griffiths, M.D. (2001). Addicted to love: The psychology of sex addiction. Psychology Review, 8, 20-23.

Griffiths, M.D. (2001). Sex on the internet: Observations and implications for sex addiction. Journal of Sex Research, 38, 333-342.

Griffiths, M.D. (2004). Sex addiction on the Internet. Janus Head: Journal of Interdisciplinary Studies in Literature, Continental Philosophy, Phenomenological Psychology and the Arts, 7(2), 188-217.

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

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

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

Griffiths, M.D. & Dhuffar, M. (2014). Collecting behavioural addiction treatment data using Freedom of Information requests. SAGE Research Methods Cases. Located at: DOI: http://dx.doi.org/10.4135/978144627305014533925

The prose and cons: A brief look at ‘poetry addiction’

Back in May 2014, I gave a whole afternoon of talks on behavioural addictions (including gambling and gaming addiction) at Castle Craig, an inpatient addiction treatment centre in Scotland. One of the most interesting people I met there was the psychotherapist Christopher Burn who on the back of his latest book Poetry Changes Lives describes himself as “a history addict, grandfather, recovering alcoholic, and poetry fanatic”. Maybe I’ll write a blog on what it is to be a “history addict” in a future blog, but this article will briefly look at an article just published by Burn on ‘poetry addiction’.

Anyone that knows me will tell you that writing is an important activity in my life. Many of my friends and colleagues describe me as a ‘writaholic’ and that I am addicted to writing because of the number of articles that I have published. Regular readers of my blog will also know that I have written articles on obsessional writing (graphomania), obsessional erotic writing (erotographomania), diary writing, excessive blog writing, and excessive (productive) writing.

Although I wouldn’t describe myself as a ‘poetry fanatic’ I do love writing poetry myself and have had a number of my poems published. In fact, in 1997, I won a national Poetry Today competition for the best (20 lines and under) poem for An Alliteration of Life. Burn’s article on ‘addiction to the act of writing poetry (like his latest book) is an interesting read. Burn has even coined a new term for addiction to poetry – ‘poesegraphilia’. Burn notes that the Irish dramatist George Farquar said that poetry was a “mere drug” and that:

“Many poets, great and not so great, have suffered from addiction to mood altering substances – Coleridge, Rimbaud and Dylan Thomas (‘the Rimbaud of Cwmdonkin Drive’) spring to mind. Many great poems have been written about addiction too. It seems however that very little attention has been given to the addictive power generated by the act of writing poetry itself. One thing is for sure – poetry has a power to alter our mood – not normally in the pernicious or directly physical manner of say, a line of cocaine, but in a pervasive and generally enjoyable way that can usually only be helpful. This mood changing effect can come from either reading or writing poetry but of the two, it is poetry writing that is the most dramatic”.

As an amateur poet myself, I know only too well the emotional power of words and that words can have a mood altering effect (both positive and negative). There is even ‘poetry therapy’ and (in the USA) a National Association for Poetry Therapy and an Institute for Poetic Medicine that advocates the intentional use of poetry and other forms of literature for healing and personal growth”. (For a concise overview of ‘poetry therapy’ check out this article on the GoodTherapy website). Burn says that “writing poetry may not affect a person’s life with the degree of powerlessness and unmanageability that say, alcohol does, but it can still have a very marked influence”. He then includes part of an interview transcript from BBC Radio 4’s Desert Island Discs programme with Les Murray, an Australian poet:

“It’s wonderful, there’s nothing else like it, you write in a trance. And the trance is completely addictive, you love it, you want more of it. Once you’ve written the poem and had the trance, polished it and so on, you can go back to the poem and have a trace of that trance, have the shadow of it, but you can’t have it fully again. It seemed to be a knack I discovered as I went along. It’s an integration of the body-mind and the dreaming-mind and the daylight-conscious-mind. All three are firing at once, they’re all in concert. You can be sitting there but inwardly dancing, and the breath and the weight and everything else are involved, you’re fully alive. It takes a while to get into it. You have to have some key, like say a phrase or a few phrases or a subject matter or maybe even a tune to get you started going towards it, and it starts to accumulate. Sometimes it starts without your knowing that you’re getting there, and it builds in your mind like a pressure. I once described it as being like a painless headache, and you know there’s a poem in there, but you have to wait until the words form”.

I’ve always argued that anything can be addictive if it is something that can constantly reinforce and reward behaviour. Theoretically, there is no reason why writing poetry could not be mood modifying and potentially addictive. As Burn observes:

“Many poets talk about the dream-like trance that envelops them during the act of creating poetry and how this can last sometimes for days. This is not a simple cathartic event, which can happen too, but a state that affects mind, body and spirit. Here is poet and author Robert Graves on the subject: ‘No poem is worth anything unless it starts from a poetic trance, out of which you can be wakened by interruption as from a dream. In fact, it is the same thing’. All this trance-like sensation sounds to me a bit like the effect that certain mood altering substances can have, and we know how addictive they can be”.

Burn then goes on to question whether the act of writing poetry can be clinically classed as an addiction. To do this, he uses criteria from the Diagnostic and Statistical Manual of Mental Disorders [DSM] and argues that the act of writing poetry could potentially meet some of the criteria for addiction including: (i) persisting with the habit to the detriment of other activities and relationships, (ii) increased tolerance, (iii) unsuccessful attempts to stop, (iv) increase in time spent on the activity, and (v) persisting with the habit despite knowledge of negative consequences. Based on this he then goes on to argue:

“It seems to me that there is enough anecdotal evidence to indicate that for some people, poetry, in particular the act of writing poetry, is a powerful and addictive behaviour that meets at least a few of these [DSM] criteria…Problem gamblers often talk of the trance-like state they get into when for example, playing slot machines; reality and awareness of the world around them disappears and everything is focused on them to and the moment. As in poetry writing. British poet JLS Carter describes poetic creation as ‘An addiction – you can go for days thinking of nothing else, in a kind of trance where all other thoughts and considerations are sidelined. That way madness lies’. By its very nature, poetry puts a special power into words that affects us in a way that most conversation or written narrative does not. Poetry gets under our skin, alters our moods and stays in our head in a special way”.

Much of Burn’s admittedly anecdotal argument that poetry can be addictive all comes down to how addiction is defined in the first place and also takes the implicit view that some activities can be what Dr. Bill Glasser would call ‘positive addictions’ in that there are some behaviours that can have positive as well as negative consequences. However, for me, there is also the question of whether positive addictions are “addictions” at all. Have a quick look at Glasser’s criteria for positive addictions below. For an activity to be classed as a positive addiction, Glasser says the behaviour must be:

  • Non-competitive and needing about an hour a day
  • Easy, so no mental effort is required
  • Easy to be done alone, not dependent on people
  • Believed to be having some value (physical, mental, spiritual)
  • Believed that if persisted in, some improvement will result
  • Involve no self-criticism.

Most of these could apply to ‘poetry addiction’ but to me, these criteria have little resemblance to the core criteria or components of addictions (such as salience, withdrawal, tolerance, mood modification, conflict, relapse, etc.). My own view is that ‘positive addiction’ is an oxymoron and although I am the first to admit that some potential addictions might have benefits that are more than just short-term (as in the case of addictions to work or exercise), addictions will always be negative for the individual in the long run. Although no-one is ever likely to seek treatment for an addiction to writing poetry, it doesn’t mean that we can’t use activities like writing poetry to help us define and refine how we conceptualize behavioural addictions.

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

Further reading

Burn, C. (2015). Poetry Changes Lives. Biggar: DHH Publishing.

Burn, C. (2016). Poesegraphilia – Addiction to the act of writing poetry. Poetry Changes Lives, May 27. Located at: http://www.poetrychangeslives.com/addiction-to-the-act-of-writing-poetry/

Glasser, W. (1976), Positive Addictions, Harper & Row, New York, NY.

GoodTherapy.Org (2016). Poetry therapy. Located at: http://www.goodtherapy.org/learn-about-therapy/types/poetry-therapy

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. (2011). Behavioural addiction: The case for a biopsychosocial approach. Trangressive Culture, 1, 7-28.

Klein. P. (2006). The therapeutic benefit of poetry. The Therapist. Located at: http://phyllisklein.com/writing-for-healing/the-therapeutic-benefit-of-poetry/

Larkin, M., Wood, R.T.A. & Griffiths, M.D. (2006). Towards addiction as relationship. Addiction Research and Theory, 14, 207-215.

Myth world: Addictive personality does not exist

(Please note: This article is a slightly expanded and original version of an article that was first published in The Conversation).

“Life is a series of addictions and without them we die”. This is my favourite quote in the academic addiction literature and was made back in 1990 in the British Journal of Addiction by Professor Isaac Marks. This deliberately provocative and controversial statement was made to stimulate debate about whether excessive and potentially problematic activities such as gambling, sex and work can really be classed as genuine addictive behaviours. Many of us might say to ourselves that we are ‘addicted’ to tea or coffee, our work, or know others who we might describe as having addictions watching the television or using pornography. But is this really true?

The issue all comes down to how addiction is defined in the first place as many of us in the field disagree on what the core components of addiction are. Many would argue that the word ‘addiction’ or ‘addictive’ is used so much in everyday circumstances that word has become meaningless. For instance, saying that a book is an ‘addictive read’ or that a specific television series is ‘addictive viewing’ renders the word useless in a clinical setting. Here the word ‘addictive’ is arguably used in a positive way and as such it devalues the real meaning of the word.

The question I get asked most – particularly by the broadcast media – is what is the difference between a healthy excessive enthusiasm and an addiction and my response is simple – a healthy excessive enthusiasm adds to life whereas an addiction takes away from it. I also believe that to be classed as an addiction, any such behaviour should comprise a number of key components including overriding preoccupation with the behaviour, conflict with other activities and relationships, withdrawal symptoms when unable to engage in the activity, an increase in the behaviour over time (tolerance), and use of the behaviour to alter mood state. Other consequences such as feeling out of control with the behaviour and cravings for the behaviour are often present. If all these signs and symptoms are present I would call the behaviour a true addiction. However, that hasn’t stopped others accusing me of ‘watering down’ the concept of addiction.

A few years ago, Dr. Steve Sussman, Nadra Lisha and I published a large and comprehensive review in the journal Evaluation and the Health Professions examining the co-relationship between eleven different potentially addictive behaviours reported in the academic literature (smoking tobacco, drinking alcohol, taking illicit drugs, eating, gambling, internet use, love, sex, exercise, work, and shopping). We examined the data from 83 large-scale studies and reported an overall 12-month prevalence of an addiction among U.S. adults varies from 15% to 61%. We also reported it plausible that 47% of the U.S. adult population suffers from maladaptive signs of an addictive disorder over a 12-month period, and that it may be useful to think of addictions as due to problems of lifestyle as well as to person-level factors. In short – and with many caveats – our paper argued that at any one time almost half the US population are addicted to one or more behaviours.

There is a lot of scientific literature showing that having one addiction increases the propensity to have other co-occurring addictions. For instance, in my own research I have come across alcoholic pathological gamblers and we can all probably think of individuals that we might describe as caffeine-addicted workaholics. It is also very common for individuals that give up one addiction to replace it with another (which we psychologists call ‘reciprocity’). This is easily understandable as when an individual gives up one addiction it leaves a large hole in the waking lives (often referred to as the ‘void’) and often the only activities that can fill the void and give similar experiences are other potentially addictive behaviours. This has led many people to describe such people as having an ‘addictive personality’.

While there are many pre-disposing factors for addictive behaviour including genetic factors and psychological personality traits such as high neuroticism (anxious, unhappy, prone to negative emotions) and low conscientiousness (impulsive, careless, disorganised), I would argue that ‘addictive personality’ is a complete myth. Even though there is good scientific evidence that most people with addictions are highly neurotic, neuroticism in itself is not predictive of addiction (for instance, there are individuals who are highly neurotic but are not addicted to anything so neuroticism is not predictive of addiction). In short, there is no good evidence that there is a specific personality trait (or set of traits) that is predictive of addiction and addiction alone.

Doing something habitually or excessively does not necessarily make it problematic. While there are many behaviours such as drinking too much caffeine or watching too much television that could theoretically be described as addictive behaviours, they are more likely to be habitual behaviours that are important in an individual’s life but actually cause little or no problems. As such, these behaviours should not be described as an addiction unless the behaviour causes significant psychological and/or physiological effects in their day-to-day lives.

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

Further reading

Andreassen, C.S., Griffiths, M.D., Gjertsen, S.R., Krossbakken, E., Kvan, S., & Ståle Pallesen, S. (2013). The relationships between behavioral addictions and the five-factor model of personality. Journal of Behavioral Addictions, 2, 90-99.

Goodman, A. (2008). Neurobiology of addiction: An integrative review. Biochemical Pharmacology, 75(1), 266-322.

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

Griffiths, M.D. & Larkin, M. (2004). Conceptualizing addiction: The case for a ‘complex systems’ account. Addiction Research and Theory, 12, 99-102.

Kerr, J. S. (1996). Two myths of addiction: the addictive personality and the issue of free choice. Human Psychopharmacology: Clinical and Experimental, 11(S1), S9-S13.

Kotov, R., Gamez, W., Schmidt, F., & Watson, D. (2010). Linking “big” personality traits to anxiety, depressive, and substance use disorders: A meta-analysis. Psychological Bulletin, 136(5), 768-821.

Larkin, M., Wood, R.T.A. & Griffiths, M.D. (2006). Towards addiction as relationship. Addiction Research and Theory, 14, 207-215.

Marks, I. (1990). Behaviour (non-chemical) addictions. British Journal of Addiction, 85, 1389-1394.

Nakken, C. (2009). The addictive personality: Understanding the addictive process and compulsive behavior. Hazelden, Minnesota: Hazelden Publishing.

Nathan, P. E. (1988). The addictive personality is the behavior of the addict. Journal of Consulting and Clinical Psychology, 56(2), 183-188.

Stick in the Buddhism: Mindfulness in the treatment of addiction and improved psychological wellbeing (Part 1)

Over the last year I’ve been receiving a lot of emails (well, about nine or ten to be honest but it seems like a lot) expressing surprise at the increasing numbers of papers on mindfulness that have been appearing on my Research Gate and Academia.edu webpages. This research program is actually being led by my friends and Nottingham Trent University research colleagues, Dr. Edo Shonin and Willliam Van Gordon. Given this increasing level of interest, I thought I would use my next two blogs to briefly overview some of these publications. My research colleagues and I are happy for anyone interested in these papers to contact us at the email addresses below. We also have a new book on the topic too (Mindfulness and Buddhist-derived Approaches in Mental Health and Addiction).

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Shonin, E., Van Gordon, W., & Griffiths M.D. (2014). Cognitive Behavioral Therapy (CBT) and Meditation Awareness Training (MAT) for the treatment of co-occurring schizophrenia with pathological gambling: A case study. International Journal of Mental Health and Addiction, 12, 806–823.

  • There is a paucity of interventional approaches that are sensitive to the complex needs of individuals with co-occurring schizophrenia and pathological gambling. Utilizing a single-participant design, this study conducted the first clinical evaluation of a novel and integrated non-pharmacological treatment for a participant with dual-diagnosis schizophrenia and pathological gambling. The participant underwent a 20-week treatment course comprising: (i) an initial phase of second-wave cognitive behavioral therapy (CBT), and (ii) a subsequent phase employing a meditation-based recovery model (involving the administering of an intervention known as Meditation Awareness Training). The primary outcome was diagnostic change (based on DSM-IV-TR criteria) for schizophrenia and pathological gambling. Secondary outcomes were: (i) psychiatric symptom severity, (ii) pathological gambling symptom severity, (iii) psychosocial functioning, and (iv) dispositional mindfulness. Findings demonstrated that the participant was successfully treated for both schizophrenia and pathological gambling. Significant improvements were also observed across all other outcome variables and positive outcomes were maintained at three-month follow-up. An initial phase of CBT to improve social coping skills and environmental mastery, followed by a phase of meditation-based therapy to increase perceptual distance from mental urges and intrusive thoughts, may be a diagnostically-syntonic treatment for co-occurring schizophrenia and pathological gambling.

Shonin, E., Van Gordon, W., & Griffiths M.D. (2014). The treatment of workaholism with Meditation Awareness Training: A case study. Explore: Journal of Science and Healing, 10, 193-195.

  • Recent decades have witnessed a marked increase in research investigating the etiology, typology, symptoms, prevalence, and correlates of workaholism. However, despite increasing prevalence rates for workaholism, there is a paucity of workaholism treatment studies. Indeed, guidelines for the treatment of workaholism tend to be based on either theoretical proposals or anecdotal reports elicited during clinical practice. Thus, there is a need to establish dedicated and effective treatments for workaholism. A novel broad-application interventional approach receiving increasing attention by occupational and healthcare stakeholders is that of third-wave cognitive behavioral therapies (CBTs). Third-wave CBTs integrate aspects of Eastern philosophy and typically employ a meditation-based recovery model. A primary treatment mechanism of these techniques involves the regulation of psychological and autonomic arousal by increasing perceptual distance from faulty thoughts and mental urges. A ‘meditative anchor’, such as observing the breath, is typically used to aid concentration and to help maintain an open-awareness of present moment sensory and cognitive-affective experience. The purpose of this case study was to conduct the first evaluation of a treatment employing a meditation-based recovery model for a workaholic.

Shonin, E.S., van Gordon, W. & Griffiths, M.D. (2013). Buddhist philosophy for the treatment of problem gambling. Journal of Behavioral Addictions, 2, 63-71.

  • In the last five years, scientific interest into the potential applications of Buddhist-derived interventions (BDIs) for the treatment of problem gambling has been growing. This paper reviews current directions, proposes conceptual applications, and discusses integration issues relating to the utilisation of BDIs as problem gambling treatments. A literature search and evaluation of the empirical literature for BDIs as problem gambling treatments was undertaken. To date, research has been limited to cross-sectional studies and clinical case studies and findings indicate that Buddhist-derived mindfulness practices have the potential to play an important role in ameliorating problem gambling symptomatology. As an adjunct to mindfulness, other Buddhist-derived practices are also of interest including: (i) insight meditation techniques (e.g., meditation on ‘emptiness’) to overcome avoidance and dissociation strategies, (ii) ‘antidotes’ (e.g., patience, impermanence, etc.) to attenuate impulsivity and salience-related issues, (iii) loving-kindness and compassion meditation to foster positive thinking and reduce conflict, and (iv) ‘middle-way’ principles and ‘bliss-substitution’ to reduce relapse and temper withdrawal symptoms. In addition to an absence of controlled treatment studies, the successful operationalisation of BDIs as effective treatments for problem gambling may be impeded by issues such as a deficiency of suitably experienced BDI clinicians, and the poor provision by service providers of both BDIs and dedicated gambling interventions. Preliminary findings for BDIs as problem gambling treatments are promising, however, further research is required.

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

  • Throughout the last decade, there has been a growth of interest into the rehabilitative utility of Buddhist-derived interventions (BDIs) for incarcerated populations. The purpose of this study was to systematically review the evidence for BDIs in correctional settings. MEDLINE, Science Direct, ISI Web of Knowledge, PsychInfo, and Google Scholar electronic databases were systematically searched. Reference lists of retrieved articles and review papers were also examined for any further studies. Controlled intervention studies of BDIs that utilised incarcerated samples were included. Jaded scoring was used to evaluate methodological quality. PRISMA (preferred reporting items for systematic reviews and meta-analysis) guidelines were followed. The initial comprehensive literature search yielded 85 papers but only eight studies met all the inclusion criteria. The eight eligible studies comprised two mindfulness studies, four vipassana meditation studies, and two studies utilizing other BDIs. Intervention participants demonstrated significant improvements across five key criminogenic variables: (i) negative affective, (ii) substance use (and related attitudes), (iii) anger and hostility, (iv) relaxation capacity, and (v) self-esteem and optimism. There were a number of major quality issues. It is concluded that BDIs may be feasible and effective rehabilitative interventions for incarcerated populations. However, if the potential suitability and efficacy of BDIs for prisoner populations is to be evaluated in earnest, it is essential that methodological rigour is substantially improved. Studies that can overcome the ethical issues relating to randomisation in correctional settings and employ robust randomised controlled trial designs are favoured.

Shonin, E., Van Gordon, W., & Griffiths M.D. (2014). Mindfulness meditation in American correctional facilities: A ‘what-works’ approach to reducing reoffending. Corrections Today: Journal of the American Correctional Association, March/April, 48-51.

  • Throughout the last decade, there has been a growth of interest into the rehabilitative utility of Buddhist-derived interventions (BDIs) for incarcerated populations. The purpose of this study was to systematically review the evidence for BDIs in correctional settings. MEDLINE, Science Direct, ISI Web of Knowledge, PsychInfo, and Google Scholar electronic databases were systematically searched. Reference lists of retrieved articles and review papers were also examined for any further studies. Controlled intervention studies of BDIs that utilised incarcerated samples were included. Jaded scoring was used to evaluate methodological quality. PRISMA (preferred reporting items for systematic reviews and meta-analysis) guidelines were followed. The initial comprehensive literature search yielded 85 papers and but only eight studies met all the inclusion criteria. The eight eligible studies comprised two mindfulness studies, four vipassana meditation studies, and two studies utilizing other BDIs. Intervention participants demonstrated significant improvements across five key criminogenic variables: (i) negative affective, (ii) substance use (and related attitudes), (iii) anger and hostility, (iv) relaxation capacity, and (v) self-esteem and optimism. There were a number of major quality issues. It is concluded that BDIs may be feasible and effective rehabilitative interventions for incarcerated populations. However, if the potential suitability and efficacy of BDIs for prisoner populations is to be evaluated in earnest, it is essential that methodological rigour is substantially improved. Studies that can overcome the ethical issues relating to randomisation in correctional settings and employ robust randomised controlled trial designs are favoured.

Contact details

e.shonin@awaketowisdom.co.ukwilliam@awaketowisdom.co.ukmark.griffiths@ntu.ac.uk

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

Additional input by Edo Shonin and William Van Gordon

Further reading

Shonin, E.S., van Gordon, W. & Griffiths, M.D. (2012). The health benefits of mindfulness-based interventions for children and adolescents, Education and Health, 30, 94-97.

Shonin, E.S., van Gordon, W. & Griffiths, M.D. (2013). Mindfulness-based interventions: Towards mindful clinical integration. Frontiers in Psychology, 4, 194, doi: 10.3389/fpsyg.2013.00194.

Shonin, E.S., van Gordon, W. & Griffiths, M.D. (2013). Buddhist philosophy for the treatment of problem gambling. Journal of Behavioral Addictions, 2, 63-71.

Shonin, E.S., van Gordon, W. & Griffiths, M.D. (2013). Meditation as medication: Are attitudes changing? British Journal of General Practice, 617, 654-654.

Shonin, E., Van Gordon, W. & Griffiths, M.D. (2013). Mindfulness and addiction: Sending out an SOS. Addiction Today, March, 18-19.

Shonin, E., Van Gordon, W. & Griffiths, M.D. (2013). Mindfulness-based therapy: A tool for spiritual growth? Thresholds, Summer, 14-18.

Shonin, E.S., van Gordon, W. & Griffiths, M.D. (2014). Practical tips for using mindfulness in general practice. British Journal of General Practice, 624 368-369.

Shonin, E.S., van Gordon, W. & Griffiths, M.D. (2014). Meditation Based Awareness Training (MBAT) for psychological wellbeing: A qualitative examination of participant experiences. Journal of Religion and Health, 53, 849–863.

Shonin, E., Van Gordon, W., & Griffiths M.D. (2014). Mindfulness meditation in American correctional facilities: A ‘what-works’ approach to reducing reoffending. Corrections Today: Journal of the American Correctional Association, March/April, 48-51.

Shonin, E., Van Gordon, W., & Griffiths M.D. (2014). Does mindfulness meditation have a role in the treatment of psychosis? Australian and New Zealand Journal of Psychiatry, 48, 124-127.

Shonin, E., Van Gordon W., & Griffiths M.D. (2014). The emerging role of Buddhism in clinical psychology: Towards effective integration. Psychology of Religion and Spirituality, 6, 123-137.

Shonin, E., Van Gordon, W., & Griffiths M.D. (2014). The treatment of workaholism with Meditation Awareness Training: A case study. Explore: Journal of Science and Healing, 10, 193-195.

Shonin, E.S., Van Gordon, W. & Griffiths, M.D. (2014). Mindfulness and the Social Media, Mass Communication and Journalism, 4: 194. doi: 10.4172/2165-7912.1000194.

Shonin, E., Van Gordon, W., & Griffiths M.D. (2014). Cognitive Behavioral Therapy (CBT) and Meditation Awareness Training (MAT) for the treatment of co-occurring schizophrenia with pathological gambling: A case study. International Journal of Mental Health and Addiction, 12, 181-196.

Shonin, E., Van Gordon, W., & Griffiths, M.D. (2016), Mindfulness and Buddhist-derived Approaches in Mental Health and Addiction. New York: Springer.

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

Shonin, E., Van Gordon W., & Griffiths, M.D. (2014). Are there risks associated with using mindfulness for the treatment of psychopathology? Clinical Practice, 11, 389-392.

Van Gordon, W. Shonin, E.S., Skelton, K. & Griffiths, M.D. (2014). Working mindfully: Can mindfulness improve work-related wellbeing and work? Counselling at Work, 87, 14-19.

Van Gordon, W., Shonin, E., Sumich, A., Sundin, E., & Griffiths, M.D. (2014). Meditation Awareness Training (MAT) for psychological wellbeing in a sub-clinical sample of university students: A controlled pilot study. Mindfulness, 12, 806–823.

Playing the field: Another look at Internet Gaming Disorder

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

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

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

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

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

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

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

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

According to a 2013 editorial in the journal Addiction, Nancy Petry and Charles O’Brien (2013), IGD will not be included as a separate mental disorder in future editions of the DSM until the (i) defining features of IGD have been identified, (ii) reliability and validity of specific IGD criteria have been obtained cross-culturally, (iii) prevalence rates have been determined in representative epidemiological samples across the world, and (iv) aetiology and associated biological features have been evaluated.

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

Please note: Additional input from Daria Kuss and Halley Pontes

Further reading

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

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

Griffiths, M. D., King, D. L., & Demetrovics, Z. (2014). DSM-5 Internet Gaming Disorder needs a unified approach to assessment. Neuropsychiatry, 4(1), 1-4. doi: 10.2217/npy.13.82

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

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

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

King, D. L., Haagsma, M. C., Delfabbro, P. H., Gradisar, M. S. & Griffiths, M. D. (2013). Toward a consensus definition of pathological video-gaming: A systematic review of psychometric assessment tools. Clinical Psychology Review, 33(3), 331-342. doi: 10.1016/j.cpr.2013.01.002

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

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

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

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

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

Kuss, D. J., Griffiths, M. D., Karila, L., & Billieux, J. (2014). Internet addiction: A systematic review of epidemiological research for the last decade. Current Pharmaceutical Design, 20(25), 4026-4052. doi: 10.2174/13816128113199990617

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

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

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

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

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

Pontes, H. & Griffiths, M.D. (2015). Measuring DSM-5 Internet Gaming Disorder: Development and validation of a short psychometric scale. Computers in Human Behavior, 45, 137-143. doi: 10.1016/j.chb.2014.12.006

Pontes, H. M., Szabo, A., & Griffiths, M. D. (2015). The impact of Internet-based specific activities on the perceptions of Internet Addiction, Quality of Life, and excessive usage: A cross-sectional study. Addictive Behaviors Reports, 1, 19-25. doi: 10.1016/j.abrep.2015.03.002

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

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

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

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

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

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

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

Bought in the act: How prevalent is compulsive buying?

Although shopping is a necessity in modern life, it is also a leisure activity and a form of entertainment with a rewarding value for some people. However, as I have noted in a number of my previous blogs, when taken to the extreme, shopping (or buying) can be a harmful and destructive activity for a minority of individuals. The consequences of compulsive buying behaviour (CBB) are often underestimated.

For instance, CBB can result in (i) large debts, (ii) inability to meet payments, (iii) criticism from partners, friends and acquaintances, (iv) legal and financial consequences, (v) criminal legal problems, and (vi) guilt. Furthermore, individuals with CBB often describe an increasing level of urge or anxiety that can only be alleviated and lead to a sense of completion when a purchase is made. Research has demonstrated that compulsive buying is a frequent disorder in a small minority of shopping mall visitors and is associated with important and robust indicators of psychopathology such as psychiatric distress, borderline personality disorder, and substance abuse. Compared to non-compulsive buyers, compulsive buyers are over twice as likely to abuse substances, have any mood or anxiety disorder, and three times more likely to develop eating disorder than non-compulsive buyers. However, most of these findings are based on a small number of studies, all of which have sampling limitations.

Despite many studies highlighting the severe negative consequences that compulsive buying can lead to, the latest (fifth) edition of the Diagnostic and Statistical Manual of Mental Disorders (DSM-5) did not include compulsive buying disorder due to insufficient research in the field. Therefore, individuals with the condition are classified within the residual category of “Unspecified disruptive, impulse-control, and conduct disorders”. Diagnostic criteria elsewhere include (i) maladaptive preoccupation with buying or shopping, or maladaptive buying or shopping impulses; (ii) generation of marked distress by the buying preoccupations, impulses or behaviours, which are time consuming, significantly interfere with social or occupational functioning or result in financial problems; and (iii) lack of restriction of the excessive buying or shopping behaviour to periods of hypomania or mania.

The age of onset for CBB appears to be in the late teens or early twenties, although some studies have reported a later mean age of 30 years. There is also a lack of consensus relating to gender differences. Most clinical studies report that women are much more likely to become compulsive buyers than men, but not all surveys have found significant differences in buying tendencies between men and women. Cultural mechanisms have been proposed to recognize the fact that CBB mainly occurs among individuals living in developed countries. Elements reported as being necessary for the development of CBB include the presence of a market-based economy, the availability of a wide variety of goods, disposable income, and significant leisure time. For these reasons, most working in the area agree that CBB is unlikely to occur in poorly developed countries, except among the wealthy elite.

Given this background, Aniko Maraz, Zsolt Demetrovics and I recently carried out a meta-analytic review that was published in the journal Addiction using all the empirical data concerning the prevalence of compulsive buying in non-clinical populations. We attempted to estimate a pooled prevalence of compulsive buying behaviour (CBB) in different populations across the world where studies have been carried out. We also examined the effect of age, gender, geographical location of the study.

Our initial literature search identified 638 publications. We then excluded case studies (n=23), reviews or theoretical works (n=192), studies involving data from clinical samples (n=244), qualitative studies (n=26), studies that used a compulsive buying scale to determine shopping severity but didn’t report a prevalence rate (n=73), studies written in a foreign language (n=15), dissertations and conference abstracts (n=7), studies written in a foreign language (n=15), small studies with a sample size of below 145 participants (n=16), and studies involving adolescents (n=2). This left 40 studies that met the inclusion criteria for the review. We then extracted sample mean age, proportion of females (in %), the study’s geographical location, and the screening instrument used to assess CBB, and the reported prevalence estimate of CBB.

The 40 relevant studies identified reported 49 different prevalence rate estimates for 32,333 participants. We then divided the data into four sub-samples: adult representative, adult non-representative, university student and shopping-specific. The mean prevalence of compulsive buying was 4.9% in adult representative samples [10,102 participants], 12.3% in adult non-representative samples [3,929 participants], 8.3% in university student samples [14,947 participants] and 16.2% in shopping-specific samples [4,686 participants]. Unsurprisingly, the highest prevalence rates were among shopping-specific samples.

We noted that the heterogeneity in prevalence rates of CBB may be because of the lack of consensus regarding the definition of compulsive buying. Studies used different measures to assess CBB, each having a different conceptual background. Most definitions include cognitive-affective indicators as well as maladaptive behavioural consequences when defining the disorder (e.g., debts). The screening instruments used across studies differed in indicators of financial consequences (e.g., credit card use, debts, loan etc.) and are subject to differences according to countries, sub-cultures and/or age groups.

Another problem we identified was that measures used to assess CBB didn’t explicitly distinguish current and lifetime assessment of CBB. Prevalence rates assessed with an instrument that assessed lifetime prevalence report 1.6 times higher rates on average than those that assessed current prevalence. We also observed that non-representative samples (e.g., adults, university students, shoppers) tended to recruit younger participants who were more likely to be female than representative studies. However, we also noted that the mean age of the sample and the proportion of males and females did not have a reliable effect on the prevalence estimates.

Being of a younger age was predictive of CBB according to individual study results and also according to the regression analysis that we carried out in the representative samples. However, it remains open as to whether compulsive buying tendency decreases with age or this difference reflects generational differences. If the latter was the case, then the prevalence of compulsive buying behaviour is expected to increase in the future. We also found some evidence for increasing rates of CBB in Germany and in Spain, but longitudinal studies are needed to clarify this.

In relation to data collection, estimates from the United States (18 out of 49) were over-represented compared to countries other than the USA, although there was no difference in the reported estimates between the U.S. and non-U.S. countries. However, it is difficult to draw reliable conclusions regarding the cultural variance of CBB given that adult representative estimates are only available from the USA, Spain, Germany and Hungary.

The fact that compulsive buying behaviour is a relatively common disorder with severe consequences for a minority of individuals should not be overlooked. It appears that approximately one in 20 individuals suffer from CBB at some point in their lives and that being young and female are associated with a higher risk of CBB. High heterogeneity is likely to be the result of methodological variability within studies, such as assessment screens with different time frames and conceptual background. We concluded that future studies should therefore think carefully about how to conceptualise the disorder and to clearly separate out current versus lifetime prevalence in the samples used.

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

Please note : This article was co-written with Aniko Maraz and Zsolt Demetrovics (Institute of Psychology, Eötvös Loránd University, Budapest, Hungary)

Further reading

Alemis, M. C., & Yap, K. (2013). The role of negative urgency impulsivity and financial management practices in compulsive buying. Australian Journal of Psychology, 65(4), 224-231.

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.

Basu, B., Basu, S., & Basu, J. (2011). Compulsive buying: an overlooked entity. Journal of the Indian Medical Association, 109(8), 582-585.

Black, D.W., Shaw, M., McCormick, B., Bayless, J.D., Allena, J. (2012). Neuropsychological performance, impulsivity, ADHD symptoms, and novelty seeking in compulsive buying disorder. Psychiatry Research, 200, 581–587.

Black, D. W. (2007). A review of compulsive buying disorder. World Psychiatry, 6, 14-18.

Davenport, K., Houston, J.E., Griffiths, M.D. (2012). Excessive eating and compulsive buying behaviours in women: An empirical pilot study examining reward sensitivity, anxiety, impulsivity, self-esteem and social desirability. International Journal of Mental Health and Addiction, 10, 474–489.

Dittmar, H., Long, K. & Bond, R. (2007). When a better self is only a button click away: Associations between materialistic values, emotional and identity-related buying motives, and compulsive buying tendency online. Journal of Social and Clinical Psychology, 26, 334-361.

Duroy, D., Gorse, P., & Lejoyeux, M. (2014). Characteristics of online compulsive buying in Parisian students. Addictive Behaviors, 39, 1827-1830.

Frost, R.A., Tolin, D.F., Steketee, G., Fitch, K.E., Selbo-Bruns, A. (2009). Excessive acquisition in hoarding, Journal of Anxiety Disorders, 23, 632-639.

Guo, Z., Cai, Y. (2011). Exploring the antecedents of compulsive buying tendency among adolescents in China and Thailand: A consumer socialization perspective. African Journal of Business Management, 5(24), 10198-10209.

Harvanko, A., Lust, K., Odlaug, B. L., Schreiber, L., Derbyshire, K., Christenson, G., & Grant, J. E. (2013). Prevalence and characteristics of compulsive buying in college students. Psychiatry Research, 210(3), 1079-1085.

Jung, J., & Yi, S. (2013). Assessment of heterogeneity of compulsive buyers based on affective antecedents of buying lapses. Addiction Research and Theory, 22, 37-48.

Koran, L.M., Faber, R.J., Aboujaoude, M.A., Large, M.D., Serpe, R.T. (2006). Estimated prevalence of compulsive buying behavior in the United States. American Journal of Psychiatry, 163, 1806-1812.

Kukar-Kinney, M., Ridgway, N. M., & Monroe, K. B. (2012). The role of price in the behavior and purchase decisions of compulsive buyers. Journal of Retailing, 88(1), 63-71.

Lejoyeux, M., Weinstein, A. (2010). Compulsive buying. American Journal of Drug and Alcohol Abuse, 36 (5), 248–253.

Maraz, A., Griffiths, M. D., Demetrovics, Z. (2015). The prevalence of compulsive buying in nonclinical populations: a systematic review and meta-analysis. Addiction, doi:10.1111/add.13223.

Mikołajczak-Degrauwe, K., & Brengman, M. (2014). The influence of advertising on compulsive buying – The role of persuasion knowledge. Journal of Behavioral Addictions3(1), 65–73.

Mueller, A., Mitchell, J. E., Peterson, L. A., Faber, R. J., Steffen, K. J., Crosby, R. D., & Claes, L. (2011). Depression, materialism, and excessive Internet use in relation to compulsive buying. Comprehensive Psychiatry, 52(4), 420-424.

Tommasi, M., & Busonera, A. (2012). Validation of three compulsive buying scales on an Italian sample 1. Psychological Reports, 111(3), 831-844.

Weinstein, A., Maraz, A., Griffiths, M.D., Lejoyeaux, M. & Demetrovics, Z. (in press). Shopping addiction and compulsive buying: Features and characteristics of addiction. In V. Preedy (Ed.), The Neuropathology Of Drug Addictions And Substance Misuse. London: Academic Press.

Tech’s appeal: Another look at Internet addiction

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

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

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

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

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

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

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

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

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

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

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

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

Further reading

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

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

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

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

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

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

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

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

Kuss, D.J., Shorter, G.W., van Rooij, A.J., Griffiths, M.D., & Schoenmakers, T.M. (2014). Assessing Internet addiction using the parsimonious Internet addiction components model – A preliminary study. International Journal of Mental Health and Addiction, 12, 351-366.

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

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

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

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

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

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

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

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

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

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