Blog Archives
Eight days a week: Survival in the age of the ‘always on’ culture
Recently, I did some work with a PR agency as part of a campaign to get individuals to use their smartphones more responsibly. Today’s blog comprises the some of the text that fed into their press release based on an interview I did with them. The same campaign also publicised my tips to help reduce reliance on technology which you can find here. The following text comes from a transcription of the interview.
“The first thing to bear in mind is that people are no more addicted to smartphones than alcoholics are addicted to bottles. It the applications on smartphones that are potentially addictive not the phones themselves. It is important to understand too that the number of people who actually suffer to the extent that they have a real addiction is likely to be no more than a handful. However, there are certainly a growing number of people who perhaps wish they didn’t use their apps as much as they do. Obviously as phones have become more advanced and more capable, and the issue of both habitual use and problematic use of smartphones has grown.
We live in the ‘always on’ era and I think many people feel obliged to participate in that culture, and ensure that they are constantly available to interact and respond 24/7. I gave up my smart phone several years ago and, though I am not encouraging everybody else to do the same, you will find that after you get over the initial ‘shock’, you are able to cope just fine without it. Usually after the third or fourth day you’ll find that that you have adjusted to not having it. There are natural circumstances where you will find yourself without your phone by necessity, such as when you go swimming or visit the gym. People tend to manage just fine during these scenarios, but many people often experience anxiety if they find themselves on the bus to work and then realise they’ve left their smartphone at home.
I’d encourage people wishing to use their phone or apps less to consider going without their phone for a few hours, or allocating one day each week when you don’t use it at all. And whilst I have given up my smartphone, I haven’t given up social media, using the internet and sending emails. I simply access these functions through my laptop. Obviously one of the big factors with mobile phones is that they are with you constantly. You can’t put a laptop in a pocket or a handbag, like you can with a mobile phone, and that is obviously quite a significant distinction.
Many apps and phones themselves now have features that record the amount of time spent using each one, and often the time for many people will escalate into a number of hours over the course of the day or week. For many people this won’t be a concern, because they may be really enjoying using particular apps, but to others it might be a bit of a wake-up call. If you discover that you regularly spend ten hours in a week using a specific app you may begin to consider what else you could have done with that time.
There are also features on phones that allow you to dictate the frequency of notifications you receive as well as limit setting features so that you can control how much time you want to spend on your smartphone. Many apps send notifications very frequently, on the basis that the users will anticipate something good in the message they receive. Like in many spheres of our life, there are specific activities that trigger chemical reactions that manifest themselves as happy feelings, and apps are no different in this respect.
But there are often options to disable these notifications, or to limit them to appear only once an hour. This is one way we can limit the time we spend looking at our phones. The world of social media in particular can be very competitive, and we often crave things like ‘likes’ from our friends and colleagues. Many individuals not only feel good when they get ‘likes’ on the things they have posted on social media but also feel good when they get more ‘likes’ than their friends.
’FOMO’ – fear of missing out – is also an increasing factor in why people spend so much time on their smartphone, constantly checking their social media and messages. Individuals should rationally and objectively consider just what exactly it is that they think they’re missing out on. We are very eager to take selfies and share them, purely for the purpose of attracting ‘like’s and reactions from others. Are we really missing out by not doing that? Over the past few years there has been increasing use of the term ‘digital detox’. A digital detox refers to the period of time during which a person refrains from using electronic devices such as smartphones or computers, regarded as an opportunity to reduce stress or focus on social interaction in the physical world”.
My tips for a successful digital detox can be found here.
Dr. Mark Griffiths, Distinguished Professor of Behavioural Addiction, International Gaming Research Unit, Nottingham Trent University, Nottingham, UK
Further reading
Andreassen, C.S., Pallesen, S., & Griffiths, M.D. (2017). The relationship between excessive online social networking, narcissism, and self-esteem: Findings from a large national survey. Addictive Behaviors, 64, 287-293.
Billieux, J., Maurage, P., Lopez-Fernandez, O., Kuss, D.J. & Griffiths, M.D. (2015). Can disordered mobile phone use be considered a behavioral addiction? An update on current evidence and a comprehensive model for future research. Current Addiction Reports, 2, 154-162.
Csibi, S., Griffiths, M.D., Cook, B., Demetrovics, Z., & Szabo, A. (2018). The psychometric properties of the Smartphone: Applications-Based Addiction Scale (SABAS). International Journal of Mental Health and Addiction, 16, 393-403.
Emirtekin, E., Balta, S., Sural, I., Kircaburun, K., Griffiths, M.D. & Billieux, J. (2019). The role of childhood emotional maltreatment and body image dissatisfaction in problematic smartphone use among adolescents. Psychiatry Research, 271, 634–639.
Griffiths, M.D. (2013) Social networking addiction: Emerging themes and issues. Journal of Addiction Research and Therapy, 4: e118. doi: 10.4172/2155-6105.1000e118.
Griffiths, M.D. (2013). Adolescent mobile phone addiction: A cause for concern? Education and Health, 31, 76-78.
Griffiths, M.D. (2018). Adolescent social networking: How do social media operators facilitate habitual use? Education and Health, 36, 66-69.
Griffiths, M.D. & Kuss, D.J. (2011). Adolescent social networking: Should parents and teachers be worried? Education and Health, 29, 23-25.
Griffiths, M.D., Kuss, D.J. & Demetrovics, Z. (2014). Social networking addiction: An overview of preliminary findings. In K. Rosenberg & L. Feder (Eds.), Behavioral Addictions: Criteria, Evidence and Treatment (pp.119-141). New York: Elsevier.
Hussain, Z., Griffiths, M.D. & Sheffield, D. (2017). An investigation in to problematic smartphone use: The role of narcissism, anxiety, and personality factors. Journal of Behavioral Addictions, 6, 378–386.
Kuss, D.J. & Griffiths, M.D. (2011). Online social networking and addiction: A literature review of empirical research. International Journal of Environmental Research and Public Health, 8, 3528-3552.
Kuss, D.J. & Griffiths, M.D. (2017). Social networking sites and addiction: Ten lessons learned. International Journal of Environmental Research and Public Health, 14, 311; doi:10.3390/ijerph14030311
Lopez-Fernandez, O., Kuss, D.J., Griffiths, M.D., & Billieux, J. (2015). The conceptualization and assessment of problematic mobile phone use. In Z. Yan (Ed.), Encyclopedia of Mobile Phone Behavior (Volumes 1, 2, & 3) (pp. 591-606). Hershey, PA: IGI Global.
Lopez-Fernandez, O., Männikkö, N., Kääriäinen, M., Griffiths, M.D., & Kuss, D.J. (2018). Mobile gaming does not predict smartphone dependence: A cross-cultural study between Belgium and Finland. Journal of Behavioral Addictions, 7, 88-99.
Monacis, L., de Palo, V., Griffiths, M.D. & Sinatra, M. (2017). Social networking addiction, attachment style, and validation of the Italian version of the Bergen Social Media Addiction Scale. Journal of Behavioral Addictions, 6, 178-186.
Richardson, M., Hussain, Z. & Griffiths, M.D. (2018). Problematic smartphone use, nature connectedness, and anxiety. Journal of Behavioral Addictions, 7, 109-116.
Trait expectations: Another look at why addictive personality is a complete myth
In the 30 years that I have been carrying out research into addiction, the one question that I have been asked the most – particularly by those who work in the print and broadcast media – is whether there is such a thing as an ‘addictive personality’? In a previous blog I briefly reviewed the concept of ‘addictive personality’ but since publishing that article, I have published a short paper in the Global Journal of Addiction and Rehabilitation Medicine on addictive personality, and in this blog I review I outline some of the arguments as to why I think addictive personality is a complete myth.
Psychologists such as Dr. Thomas Sadava have gone as far to say that ‘addictive personality’ is theoretically necessary, logically defensible, and empirically supportable. Sadava argued that if ‘addictive personality’ did not exist then every individual would vulnerable to addiction if they lived in comparable environments, and that those who were addicted would differ only from others in the specifics of their addiction (e.g., alcohol, nicotine, cocaine, heroin). However, Sadava neglected genetic/biological predispositions and the structural characteristics of the substance or behaviour itself.
There are many possible reasons why people believe in the concept of ‘addictive personality’ including the facts that: (i) vulnerability is not perfectly correlated to one’s environment, (ii) some addicts are addicted to more than one substance/activity (cross addiction) and engage themselves in more than one addictive behaviour, and (iii) on giving up addiction some addicts become addicted to another (what I and others have referred to as ‘reciprocity’). In all the papers I have ever read concerning ‘addictive personality’, I have never read a good operational definition of what ‘addictive personality’ actually is (beyond the implicit assumption that it refers to a personality trait that helps explain why individuals become addicted to substances and/or behaviours). Dr. Craig Nakken in his book The Addictive Personality: Understanding the Addictive Process and Compulsive Behaviour argued that ‘addictive personality’ is “created from the illness of addiction”, and that ‘addictive personality’ is a consequence of addiction and not a predisposing factor. In essence, Nakken simply argued that ‘addictive personality’ refers to the personality of an individual once they are addicted, and as such, this has little utility in understanding how and why individuals become addicted.
When teaching my own students about the concept of ‘addictive personality’ I always tell them that operational definitions of constructs in the addictive behaviours field are critical. Given that I have never seen an explicit definition of ‘addictive personality’ I provide my own definition and argue that ‘addictive personality’ (if it exists) is a cognitive and behavioural style which is both specific and personal that renders an individual vulnerable to acquiring and maintaining one or more addictive behaviours at any one time. I also agree with addiction experts that the relationship between addictive characteristics and personality variables depend on the theoretical considerations of personality. According to Dr. Peter Nathan there must be ‘standards of proof’ to show valid associations between personality and addictive behaviour. He reported that for the personality trait or factor to genuinely exist it must: (i) either precede the initial signs of the disorder or must be a direct and lasting feature of the disorder, (ii) be specific to the disorder rather than antecedent, coincident or consequent to other disorders/behaviours that often accompany addictive behaviour, (iii) be discriminative, and (iv) be related to the addictive behaviour on the basis of independently confirmed empirical, rather than clinical, evidence. As far as I am aware, there is no study that has ever met these four standards of proof, and consequently I would argue on the basis of these that there is no ‘addictive personality’.
Although I do not believe in the concept of ‘addictive personality’ this does not mean that personality factors are not important in the acquisition, development, and maintenance of addictive behaviours. They clearly are. For instance, a paper in the Psychological Bulletin by Dr. Roman Kotov and his colleagues examined the associations between substance use disorders (SUDs) and higher order personality traits (i.e., the ‘big five’ of openness to experience, conscientiousness, agreeableness, extraversion, and neuroticism) in 66 meta-analyses. Their review included 175 studies (with sample sizes ranged from 1,076 to 75,229) and findings demonstrated that SUD addicts were high on neuroticism (and was the strongest personality trait associated with SUD addiction) and low on conscientiousness. Many of the studies the reviewed also reported that agreeableness and openness were largely unrelated to SUDs.
Dr. John Malouff and colleagues carried published a meta-analysis in the Journal of Drug Education examining the relationship between the five-factor model of personality and alcohol. The meta-analysis included 20 studies (n=7,886) and showed alcohol involvement was associated with low conscientiousness, low agreeableness, and high neuroticism. Mixed-sex samples tended to have lower effect sizes than single-sex samples, suggesting that mixing sexes in data analysis may obscure the effects of personality. Dr. James Hittner and Dr. Rhonda Swickert published a meta-analysis in the journal Addictive Behaviors examining the association between sensation seeking and alcohol use. An analysis of 61 studies revealed a small to moderate size heterogeneous effect between alcohol use and total scores on the sensation seeking scale. Further analysis of the sensation seeking components indicated that disinhibition was most strongly correlated with alcohol use.
Dr. Marcus Munafo and colleagues published a meta-analysis in the journal Nicotine and Tobacco Research examining strength and direction of the association between smoking status and personality. They included 25 cross-sectional studies that reported personality data for adult smokers and non-smokers and reported a significant difference between smokers and non-smokers on both extraversion and neuroticism traits. In relation to gambling disorder, Dr. Vance MacLaren and colleagues published a meta-analysis of 44 studies that had examined the personality traits of pathological gamblers (N=2,134) and non-pathological gambling control groups (N=5,321) in the journal Clinical Psychology Review. Gambling addiction was shown to be associated with urgency, premeditation, perseverance, and sensation seeking aspects of impulsivity. They concluded that individual personality characteristics may be important in the aetiology of pathological gambling and that the findings were similar to the meta-analysis of substance use disorders by Kotov and colleagues.
More recently, I co-authored a study with Dr. Cecilie Andreassen and her colleagues in the Journal of Behavioral Addictions. We carried out the first ever study investigating the inter-relationships between the ‘big five’ personality traits and behavioural addictions. They assessed seven behavioural addictions (i.e., Facebook addiction, video game addiction, Internet addiction, exercise addiction, mobile phone addiction, compulsive buying, and study addiction). Of 21 inter-correlations between the seven behavioural addictions, all were positive (and nine significantly so). More specifically: (i) neuroticism was positively associated with Internet addiction, exercise addiction, compulsive buying, and study addiction, (ii) extroversion was positively associated with Facebook addiction, exercise addiction, mobile phone addiction, and compulsive buying, (iii) openness was negatively associated with Facebook addiction and mobile phone addiction, (iv) agreeableness was negatively associated with Internet addiction, exercise addiction, mobile phone addiction, and compulsive buying, and (v) conscientiousness was negatively associated with Facebook addiction, video game addiction, Internet addiction, and compulsive buying and positively associated with exercise addiction and study addiction. However, replication and extension of these findings is needed before any definitive conclusions can be made.
Overall these studies examining personality and addiction consistently demonstrate that addictive behaviours are correlated with high levels of neuroticism and low levels of conscientiousness. However, there is no evidence of a single trait (or set of traits) that is predictive of addiction, and addiction alone. Others have also reached the same conclusion based on the available evidence. For instance, R.G. Pols (in Australian Drug/Alcohol Review) noted that findings from prospective studies are inconsistent with retrospective and cross-sectional studies leading to the conclusion that the ‘addictive personality’ is a myth. Dr. John Kerr in the journal Human Psychopharmacology: Clinical and Experimental noted that ‘addictive personality’ had long been argued as a viable construct (particularly in the USA) but that there is simply no evidence for the existence of a personality type that is prone to addiction. In another review of drug addictions, Kevin Conway and colleagues asserted (in the journal Drug and Alcohol Dependence) there was scant evidence that personality traits were associated with psychoactive substance choice. Most recently, Maia Szalavitz in her book Unbroken Brain: A Revolutionary New Way of Understanding Addiction noted that:
“Fundamentally, the idea of a general addictive personality is a myth. Research finds no universal character traits that are common to all addicted people. Only half have more than one addiction (not including cigarettes)—and many can control their engagement with some addictive substances or activities, but not others”.
Clearly there are common findings across a number of differing addictions (such as similarities in personality profiles using the ‘big five’ traits) but it is hard to establish whether these traits are antecedent to the addiction or caused by it. Within most addictions there appear to be more than one sub-type of addict suggesting different pathways of how and way individuals might develop various addictions. If this is the case – and I believe that it is – where does that leave the ‘addictive personality’ construct?
‘Addictive personality’ is arguably a ‘one type fits all’ approach and there is now much evidence that the causes of addiction are biopsychosocial from an individual perspective, and that situational determinants (e.g., accessibility to the drug/behaviour, advertising and marketing, etc.) and structural determinants (e.g., toxicity of a specific drug, game speed in gambling, etc.) can also be influential in the aetiology of problematic and addictive behaviours. Another problem with ‘addictive personality’ being an explanation for why individuals develop addictions is that the concept inherently absolves an individual’s responsibility of developing an addiction and puts the onus on others in treating the addiction. Ultimately, all addicts have to take some responsibility in the development of their problematic behaviour and they have to take some ownership for overcoming their addiction. Personally, I believe it is better to concentrate research into risk and protective factors of addiction rather than further research of ‘addictive personality’.
As I have argued in a number of my papers and book chapters, not every addict has a personality disorder, and not every person with a personality disorder has an addiction. While some personality disorders appear to have an association with addiction including Antisocial Personality Disorder and Borderline Personality Disorder, just because a person has some of the personality traits associated with addiction does not mean they are, or will become, an addict. Practitioners consider specific personality traits to be warning signs, but that’s all they are. There is no personality trait that guarantees an individual will develop an addiction and there is little evidence for an ‘addictive personality’ that is predictive of addiction alone. In short, ‘addictive personality’ is a complete myth.
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.
Conway, K. P., Kane, R. J., Ball, S. A., Poling, J. C., & Rounsaville, B. J. (2003). Personality, substance of choice, and polysubstance involvement among substance dependent patients. Drug and Alcohol Dependence, 71(1), 65-75.
Griffiths, M.D. (1994). An exploratory study of gambling cross addictions. Journal of Gambling Studies, 10, 371-384.
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. (2009). The psychology of addictive behaviour. In: M. Cardwell, M., L. Clark, C. Meldrum & A. Waddely (Eds.), Psychology for A2 Level (pp. 236-471). London: Harper Collins.
Griffiths, M.D. (2017). The myth of ‘addictive personality’. Global Journal of Addiction and Rehabilitation Medicine, 3(2), 555610.
Hittner, J. B., & Swickert, R. (2006). Sensation seeking and alcohol use: A meta-analytic review. Addictive Behaviors, 31(8), 1383-1401.
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.
MacLaren, V. V., Fugelsang, J. A., Harrigan, K. A., & Dixon, M. J. (2011). The personality of pathological gamblers: A meta-analysis. Clinical Psychology Review, 31(6), 1057-1067.
Malouff, J. M., Thorsteinsson, E. B., Rooke, S. E., & Schutte, N. S. (2007). Alcohol involvement and the Five-Factor Model of personality: A meta-analysis. Journal of Drug Education, 37(3), 277-294.
Munafo, M. R., Zetteler, J. I., & Clark, T. G. (2007). Personality and smoking status: A meta-analysis. Nicotine & Tobacco Research, 9(3), 405-413.
Nakken, C. (1996). The addictive personality: Understanding the addictive process and compulsive behaviour. Hazelden, Center City, MN: Hazelden.
Nathan, P. E. (1988). The addictive personality is the behavior of the addict. Journal of Consulting and Clinical Psychology, 56(2), 183-188.
Pols, R. G. (1984). The addictive personality: A myth. Australian Alcohol/Drug Review, 3(1), 45-47.
Sadava, S.W. (1978). Etiology, personality and alcoholism. Canadian Psychological Review/Psychologie Canadienne, 19(3), 198-214.
Szalavitz M (2016). Unbroken brain: A revolutionary new way of understanding addiction. St. Martin’s Press, New York.
Szalavitz M (2016). Addictive personality isn’t what you think it is. Scientific American, April 5.
Get connected: Another brief look at social networking addiction
(Please note: The following blog was co-written with Dr. Daria Kuss)
There is a growing scientific evidence base to suggest excessive SNS use may lead to symptoms traditionally associated with substance-related addictions. These symptoms have been described as salience, mood modification, tolerance, withdrawal, relapse, and conflict with regards to behavioural addictions, and were validated in the context of the Internet addiction components model in a study I co-wrote with Dr. Daria Kuss and colleagues in a 2014 issue of the International Journal of Mental Health and Addiction (see ‘Further reading’ below)
For a small minority of individuals, their use of social networking sites may become the single most important activity that they engage in, leading to a preoccupation with SNS use (salience). The activities on these sites are then being used in order to induce mood alterations, pleasurable feelings or a numbing effect (mood modification). Increased amounts of time and energy are required to be put into engaging with SNS activities in order to achieve the same feelings and state of mind that occurred in the initial phases of usage (tolerance). When SNS use is discontinued, addicted individuals will experience negative psychological and sometimes physiological symptoms (withdrawal), often leading to a reinstatement of the problematic behaviour (relapse). Problems arise as a consequence of the engagement in the problematic behaviour, leading to intrapsychic (conflicts within the individual often including a subjective loss of control) and interpersonal conflicts (i.e., problems with the immediate social environment including relationship problems and work and/or education being compromised).
Whilst referring to an ‘addiction’ terminology in this blog it needs to be noted that there is obviously a lot of controversy within the research field concerning both the possible over-pathologising of everyday life as well as the most appropriate term for the phenomenon. On the one hand, current behavioural addiction research tends to be correlational and confirmatory in nature and is often based on population studies rather than clinical samples in which psychological impairments are observed. On the other hand, much of my own research does not discriminate between the label addiction, compulsion, problematic SNS use, or other similar labels used because these terms are being used interchangeably by most authors in the field. Nevertheless, when referring to ‘addiction’, the I refer to the presence of the above stated criteria, as these appear to hold across both substance-related as well as behavioural addictions and indicate the requirement of significant impairment and distress on behalf of the individual experiencing it in order to qualify for using clinical terminology such as the ‘addiction’ label.
The question then arises as what it is that individuals become addicted to. Is it the technology or is it more what the technology allows them to do? I have constantly argued in many of my papers that the technology is but a medium or a tool that allows individuals to engage in particular behaviours, such as social networking and gaming, rather than being addictive per se. This view is supported by media scholars such as Dr. Danah Boyd: “To an outsider, wanting to be always-on may seem pathological. All too often it’s labelled an addiction. The assumption is that we’re addicted to the technology. The technology doesn’t matter. It’s all about the people and information”. Following this thinking, one could claim that it is not an addiction to the technology, but to connecting with people, and the good feelings that ‘likes’ and positive comments of appreciation can produce. Given that connection is the key function of social networking sites, it appears that ‘social networking addiction’ may be considered an appropriate denomination of this potential mental health problem.
There are a numbers of models which offer explanations as to the development of SNS addiction. For instance, in the cognitive-behavioural model forwarded by Ofir Turel and Alexander Serenko, excessive social networking is the consequence of maladaptive cognitions and is exacerbated through a number of external issues, resulting in addictive use. The social skill model suggests individuals use SNSs excessively as a consequence of low self-presentation skills and preference for online social interaction over face-to-face communication, resulting in addictive SNS use. With respect to the socio-cognitive model, excessive social networking develops as a consequence of positive outcome expectations, Internet self-efficacy, and limited Internet self-regulation, leading to addictive SNS use.
It has furthermore been suggested that SNS use may become problematic when individuals use it in order to cope with everyday problems and stressors, including loneliness and depression. More specifically, it has been contended that excessive SNS users find it difficult to communicate face-to-face, and social media use offers a variety of immediate rewards, such as self-efficacy and satisfaction, resulting in continued and increased use, with the consequence of exacerbating problems, including neglecting offline relationships, and problems in professional contexts. The resultant depressed moods are then dealt with by continued engagement in SNSs, leading to a vicious cycle of addiction.
Cross-cultural research by Artemis Tsitsika and colleagues (published in 2014 issue of the Journal of Adolescent Health) comprised 10,930 adolescents from six European countries (Greece, Spain, Poland, the Netherlands, Romania and Iceland). Findings showed that using SNS for two or more hours a day was related to internalizing problems, and decreased academic performance and activity. A study by Chong-wen Wang and colleagues (published in a 2015 issue of Addictive Behaviors) surveyed a sample of 920 secondary school students in China and indicated neuroticism and extraversion predicted SNS addiction, clearly differentiating individuals who experience problems as a consequence of their excessive SNS use from those individuals who used games or the Internet in general excessively, further contributing to the contention that SNS addiction appears to be a behavioural problem separate from the more commonly researched gaming addiction. In a study using a relatively small representative sample of the Belgian population (N=1000), a study by Rozane De Cock and colleagues (published in a 2014 issue of Cyberpsychology, Behavior and Social Networking) suggested 6.5% were using SNSs compulsively, with this group having lower scores on measures of emotional stability and agreeableness, conscientiousness, perceived control and self-esteem, and higher scores on loneliness and depressive feelings.
The way forward in the emerging research field of social networking addiction requires the establishment of consensual nosological precision, so that both researchers and clinical practitioners can work together and establish productive communication between the involved parties that enable reliable and valid assessments of SNS addiction and associated behaviors (e.g., problematic mobile phone use), and the development of targeted and specific treatment approaches to ameliorate the negative consequences of such disorders.
- (Please note: Material for this blog was taken from the following paper: Kuss, D.J. & Griffiths, M.D. (2017). Social networking sites and addiction: Ten lessons learned. International Journal of Environmental Research and Public Health, 14, 311; doi:10.3390/ijerph14030311)
Dr. Mark Griffiths, Professor of Behavioural Addiction, International Gaming Research Unit, Nottingham Trent University, Nottingham, UK
Further reading
Andreassen, C. S. (2015). Online social network site addiction: A comprehensive review. Current Addiction Reports, 2(2), 175-184.
Billieux, J.; Schimmenti, A.; Khazaal, Y.; Maurage, P.; Heeren, A. Are we overpathologizing everyday life? A tenable blueprint for behavioral addiction research. Journal of Behavioral Addictions 2015, 4, 119-123.
Boyd, D. (2012). Participating in the always-on lifestyle. In M. Mandiberg (Ed.), The Social Media Reader. New York: New York University Press.
De Cock, R., Vangeel, J., Klein, A., Minotte, P., Rosas, O., & Meerkerk, G.J. (2014). Compulsive use of social networking sites in Belgium: Prevalence, profile, and the role of attitude toward work and school. CyberPsychology, Behavior and Social Networking, 17, 166-171.
Griffiths, M. D. (2005). A “components” model of addiction within a biopsychosocial framework. Journal of Substance Use, 10(4), 191-197.
Kardefelt-Winther, D., Heeren, A., Schimmenti, A., van Rooij, A., Maurage, P., Carras, M., Edman, J., Blaszczynski, A., Khazaal, Y., & Billieux, J. (2017). How can we conceptualize behavioural addiction without pathologizing common behaviours? Addiction, 15, 13763.
Kuss, D. J., & Griffiths, M. D. (2012). Internet gaming addiction: A systematic review of empirical research. International Journal of Mental Health and Addiction, 10(2), 278-296.
Kuss, D. J., Shorter, G. W., van Rooij, A. J., Griffiths, M. D., & Schoenmakers, T. (2014). Assessing Internet addiction using the parsimonious Internet addiction components model – A preliminary study. International Journal of Mental Health and Addiction, 12(3), 351-366.
Tsitsika, A.K., Tzavela, E.C., Janikian, M., Ólafsson, K., Iordache, A., Schoenmakers, T.M., Tzavara, C., & Richardson, C. (2014). Online social networking in adolescence: Patterns of use in six European countries and links with psychosocial functioning. Journal of Adolescent Health, 55, 141-147.
Turel, O., & Serenko, A. (2012). The benefits and dangers of enjoyment with social networking websites. European Journal of Information Systems, 21(5), 512-528.
Wang, C.-W., Ho, R.T.H., Chan, C.L.W., & Tse, S. (2015). Exploring personality characteristics of Chinese adolescents with internet-related addictive behaviors: Trait differences for gaming addiction and social networking addiction. Addictive Behaviors, 42, 32-35.
High ringxiety: Fear of missing out, nomophobia, and social networking addiction
(Please note: The following blog was co-written with Dr. Daria Kuss)
Recent research has suggested that high engagement in social networking is partially due to what has been named the ‘fear of missing out’ (FOMO). According to Dr. Andrew Przybylski and colleagues in a 2013 issue of Computers in Human Behavior, FOMO is “a pervasive apprehension that others might be having rewarding experiences from which one is absent”. The same paper also noted that higher levels of FOMO have been associated with greater engagement with Facebook, lower general mood, lower wellbeing, and lower life satisfaction, mixed feelings when using social media, as well as inappropriate and dangerous social networking site (SNS) use (i.e., in university lectures, and whilst driving).
In addition to this, research by Dr. Frederic Gil and his colleagues in a 2016 issue of the Journal of Behavioral Addictions suggests that FOMO predicts problematic SNS use and is associated with social media addiction, as measured with a scale adapted from the Internet Addiction Test and published by Dr. Ursula Oberst and her colleagues in a 2017 issue of the Journal of Adolescence. It has also been debated whether FOMO is a specific construct, or simply a component of relational insecurity, as observed for example with the attachment dimension of preoccupation with relationships in research into problematic Internet use.
The study led by by Dr Oberst comprised 5,280 social media users from several Spanish-speaking Latin-American countries, and found that FOMO predicts negative consequences of maladaptive SNS use. In addition, this study also found that the relationship between psychopathology (as operationalized by anxiety and depression symptoms and assessed via the Hospital Anxiety and Depression Scale) and negative consequences of SNS use were mediated by FOMO, emphasizing the importance of FOMO in the self-perceived consequences of high SNS engagement.
Research published by Dr. Sarah Buglass and colleagues in a 2016 issue of Computers in Human Behavior using 506 UK Facebook users found that FOMO mediates the relationship between high SNS use and decreased self-esteem. Research with psychotherapists working with clients seeking help for their Internet use-related behaviors also suggested that young clients “fear the sort of relentlessness of on-going messaging (…). But concurrently with that is an absolute terror of exclusion” (quote taken from our 2015 book Internet Addiction in Psychotherapy). Taken together, these findings suggest FOMO may be a significant predictor or possible component of potential SNS addiction, a contention that requires further consideration in future research. Further work is needed into the origins of FOMO (both theoretically and empirically), as well as research into why do some SNS users are prone to FOMO and develop signs of addictions compared to those who do not.
Related to both FOMO is the construct of nomophobia. Nomophobia has been defined by Nicola Luigi Bragazzi and Giovanni Del Puente in a 2014 issue of the journal Psychology Research and Behavior Management as “no mobile phone phobia”, i.e., the fear of being without one’s mobile phone. These two scholars have called for nomophobia to be included in the DSM-5. They suggested the following criteria to contribute to this problem constellation: regular and time-consuming use, feelings of anxiety when the phone is not available, “ringxiety” (i.e., repeatedly checking one’s phone for messages, sometimes leading to phantom ring tones), constant availability, preference for mobile communication over face to face communication, and financial problems as a consequence of use. Nomophobia is inherently related to a fear of not being able to engage in social connections, and a preference for online social interaction (which is the key usage motivation for SNSs), and has been linked to problematic Internet use and negative consequence of technology use, further pointing to a strong association between nomophobia and SNS addiction symptoms.
Using mobile phones is understood as leading to alterations in everyday life habits and perceptions of reality, which can be associated with negative outcomes, such as impaired social interactions, social isolation, as well as both somatic and mental health problems, including anxiety, depression and stress. Accordingly, nomophobia can lead to using the mobile phone in an impulsive way, and may thus be a contributing factor to SNS addiction as it can facilitate and enhance the repeated use of social networking sites, forming habits that may increase the general vulnerability for the experience of addiction-related symptoms as a consequence of problematic SNS use.
- (Please note: Material for this blog was taken from the following paper: Kuss, D.J. & Griffiths, M.D. (2017). Social networking sites and addiction: Ten lessons learned. International Journal of Environmental Research and Public Health, 14, 311; doi:10.3390/ijerph14030311)
Dr. Mark Griffiths, Professor of Behavioural Addiction, International Gaming Research Unit, Nottingham Trent University, Nottingham, UK
Further reading
Al-Menayes, J. (2016). The Fear of Missing out Scale: Validation of the Arabic version and correlation with social media addiction. International Journal of Applied Psychology, 6(2), 41-46.
Bragazzi, N. L., & Del Puente, G. (2014). A proposal for including nomophobia in the new DSM-V. Psychology Research and Behavior Management, 7, 155-160.
Buglass, S. L., Binder, J. F., Betts, L. R., & Underwood, J. D. M. (2017). Motivators of online vulnerability: The impact of social network site use and FOMO. Computers in Human Behavior, 66, 248-255.
Gil, F., Chamarro, A., & Oberst, U. (2016). Addiction to online social networks: A question of “Fear of Missing Out”? Journal of Behavioral Addictions, 4(Suppl. 1), 51.
Griffiths, M.D. (2013) Social networking addiction: Emerging themes and issues. Journal of Addiction Research and Therapy, 4: e118. doi: 10.4172/2155-6105.1000e118.
Griffiths, M.D. & Kuss, D.J. (2011). Adolescent social networking: Should parents and teachers be worried? Education and Health, 29, 23-25.
Griffiths, M.D., Kuss, D.J. & Demetrovics, Z. (2014). Social networking addiction: An overview of preliminary findings. In K. Rosenberg & L. Feder (Eds.), Behavioral Addictions: Criteria, Evidence and Treatment (pp.119-141). New York: Elsevier.
Kuss, D.J. & Griffiths, M.D. (2011). Online social networking and addiction: A literature review of empirical research. International Journal of Environmental Research and Public Health, 8, 3528-3552.
Kuss, D.J.; Griffiths, M.D. Internet addiction in psychotherapy; Palgrave: London, 2015;
Oberst, U., Wegmann, E., Stodt, B., Brand, M., & Chamarro, A. (2017). Negative consequences from heavy social networking in adolescents: The mediating role of fear of missing out. Journal of Adolescence, 55, 51-60.
Przybylski, A. K., Murayama, K., DeHaan, C. R., & Gladwell, V. (2013). Motivational, emotional, and behavioral correlates of fear of missing out. Computers in Human Behavior, 29(4), 1841-1848.
Always being on anon: Social networking as a way of being
(Please note: The following blog was co-written with Dr. Daria Kuss)
In the present day and age, individuals have come to live increasingly mediated lives. Nowadays, social networking does not necessarily refer to what we do, but who we are and how we relate to one another. Social networking can arguably be considered a way of being and relating, and is supported by empirical research. A younger generation of scholars has grown up in a world that has been reliant on technology as integral part of their lives, making it impossible to imagine life without being connected. This has been referred to as an ‘always on’ lifestyle. As Dr. Danah Boyd has asserted “It’s no longer about on or off really. It’s about living in a world where being networked to people and information wherever and whenever you need it is just assumed”.
This has two important implications. First, being ‘on’ has become the status quo. Second, there appears to be an inherent understanding or requirement in today’s technology loving culture that one needs to engage in online social networking in order not to miss out, to stay up to date, and to connect. Boyd herself refers to needing to go on a “digital sabbatical” in order not be on, to take a vacation from connecting, with the caveat that this means still engaging with social media, but deciding which messages to respond to.
In addition to this, teenagers particularly appear to have subscribed to the cultural norm of continual online networking. They create virtual spaces which serve their need to belong, as there appear to be increasingly limited options of analogous physical spaces due to parents’ safety concerns. Being online is viewed as safer than roaming the streets and parents often assume using technology in the home is normal and healthy, as stated by a psychotherapist treating adolescents presenting with the problem of Internet addiction: “Use of digital media is the culture of the household and kids are growing up that way more and more” (quote taken from our 2015 book Internet Addiction in Psychotherapy).
Interestingly, recent research by Winston Teo and his colleagues has demonstrated that sharing information on social media increases life satisfaction and loneliness for younger adult users, whereas the opposite was true for older adult users, suggesting that social media use and social networking are used and perceived very differently across generations. This has implications for social networking addiction because the context of excessive social networking is critical in defining someone as an addict, and habitual use by teenagers might be pathologized using current screening instruments when in fact the activity – while excessive – does not result in significant detriment to the individual’s life.
SNS use is also driven by a number of other motivations. From a ‘uses and gratifications’ perspective, these include information seeking (i.e., searching for specific information using SNS), identity formation (i.e., as a means of presenting oneself online, often more favorably than offline) and entertainment (i.e., for the purpose of experiencing fun and pleasure). In addition to this, there are the motivations such as voyeurism and cyberstalking (see ‘Further reading’ below) that could have potentially detrimental impacts on individuals’ health and wellbeing as well as their relationships.
It has also been claimed that social networking meets basic human needs as initially described in Abraham Maslow’s hierarchy of needs. According to this theory, social networking meets the needs of safety, association, estimation, and self-realization. Safety needs are met by social networking being customizable with regards to privacy, allowing the users to control who to share information with. Associative needs are fulfilled through the connecting function of SNSs, allowing users to ‘friend’ and ‘follow’ like-minded individuals. The need to estimate is met by users being able to ‘gather’ friends and ‘likes’, and compare oneself to others, and is therefore related to Maslow’s need of esteem. Finally, the need for self-realization, the highest attainable goal that only a small minority of individuals are able to achieve, can be reached by presenting oneself in a way one wants to present oneself, and by supporting ‘friends’ on those SNSs who require help.
Consequently, social networking taps into very fundamental human needs by offering the possibilities of social support and self-expression. This may offer an explanation for the popularity of and relatively high engagement with SNSs in today’s society. However, the downside is that high engagement and being always “on” or engaged with technology has been considered problematic and potentially addictive in the past but if being ‘always on’ can be considered the status quo and most individuals are ‘on’ most of the time, where does this leave problematic use or addiction?
- (Please note: Material for this blog was taken from the following paper: Kuss, D.J. & Griffiths, M.D. (2017). Social networking sites and addiction: Ten lessons learned. International Journal of Environmental Research and Public Health, 14, 311; doi:10.3390/ijerph14030311)
Dr. Mark Griffiths, Professor of Behavioural Addiction, International Gaming Research Unit, Nottingham Trent University, Nottingham, UK
Further reading
Barker, V. (2009). Older adolescents’ motivations for social network site use: The influence of gender, group identity, and collective self-esteem. CyberPsychology and Behavior, 12, 209-213.
Boyd, D. (2012). Participating in the always-on lifestyle. In M. Mandiberg (Ed.), The Social Media Reader. New York: New York University Press.
Boyd, D. (2014). It’s complicated: The social lives of networked teens. Yale: Yale University Press.
Dressing, H., Bailer, J., Anders, A., Wagner, H., & Gallas, C. (2014). Cyberstalking in a large sample of social network users: Prevalence, characteristics, and impact upon victims. Cyberpsychology, Behavior & Social Networking, 17, 61-67.
Griffiths, M.D. (2013) Social networking addiction: Emerging themes and issues. Journal of Addiction Research and Therapy, 4: e118. doi: 10.4172/2155-6105.1000e118.
Griffiths, M.D. & Kuss, D.J. (2011). Adolescent social networking: Should parents and teachers be worried? Education and Health, 29, 23-25.
Griffiths, M.D., Kuss, D.J. & Demetrovics, Z. (2014). Social networking addiction: An overview of preliminary findings. In K. Rosenberg & L. Feder (Eds.), Behavioral Addictions: Criteria, Evidence and Treatment (pp.119-141). New York: Elsevier.
Kuss, D.J. & Griffiths, M.D. (2011). Online social networking and addiction: A literature review of empirical research. International Journal of Environmental Research and Public Health, 8, 3528-3552.
Kuss, D.J. & Griffiths, M.D. (2015) Internet addiction in psychotherapy. London: Palgrave: London.
Maslow, A.H. (1943). A theory of human motivation. Psychological Review, 50, 370-396.
Riva, G., Wiederhold, B. K., & Cipresso, P. (2016). Psychology of social media: From technology to identity. In G. Riva, B. K. Wiederhold & P. Cipresso (Eds.), The psychology of social Networking: Personal experience in online communities (pp. 1-11). Warsaw, Poland: De Gruyter Open.
Teo, W. J. S., & Lee, C. S. (2016). Sharing brings happiness? Effects of sharing in social media among adult users. In A. Morishima, A. Rauber & C. L. Liew (Eds.), Digital Libraries: Knowledge, Information, and Data in an Open Access Society: 18th International Conference on Asia-Pacific Digital Libraries, ICADL 2016, Tsukuba, Japan, December 7–9, 2016, Proceedings (pp. 351-365). Cham: Springer International Publishing.
Zhao, S.Y., Grasmuck, S., & Martin, J. (2008). Identity construction on Facebook: Digital empowerment in anchored relationships. Computers in Human Behavior, 24, 1816-1836.
A diction for addiction: A brief overview of our papers at the 2017 International Conference on Behavioral Addictions
This week I attended (and gave one of the keynote papers at) the fourth International Conference on Behavioral Addictions in Haifa (Israel). It was a great conference and I was accompanied by five of my colleagues from Nottingham Trent University all of who were also giving papers. All of the conference abstracts have just been published in the latest issue of the Journal of Behavioral Addictions (reprinted below in today’s blog) and if you would like copies of the presentations then do get in touch with me.
Griffiths, M.D. (2017). Behavioural tracking in gambling: Implications for responsible gambling, player protection, and harm minimization. Journal of Behavioral Addictions, 6 (Supplement 1), 2.
- Social responsibility, responsible gambling, player protection, and harm minimization in gambling have become major issues for both researchers in the gambling studies field and the gaming industry. This has been coupled with the rise of behavioural tracking technologies that allow companies to track every behavioural decision and action made by gamblers on online gambling sites, slot machines, and/or any type of gambling that utilizes player cards. This paper has a number of distinct but related aims including: (i) a brief overview of behavioural tracking technologies accompanied by a critique of both advantages and disadvantages of such technologies for both the gaming industry and researchers; (ii) results from a series of studies carried out using behavioural tracking (particularly in relation to data concerning the use of social responsibility initiatives such as limit setting, pop-up messaging, and behavioural feedback); and (c) a brief overview of the behavioural tracking tool mentor that provides detailed help and feedback to players based on their actual gambling behaviour.
Calado, F., Alexandre, J. & Griffiths, M.D. (2017). Youth problem gambling: A cross-cultural study between Portuguese and English youth. Journal of Behavioral Addictions, 6 (Supplement 1), 7.
- Background and aims: In spite of age prohibitions, most re- search suggests that a large proportion of adolescents engage in gambling, with a rate of problem gambling significantly higher than adults. There is some evidence suggesting that there are some cultural variables that might explain the development of gambling behaviours among this age group. However, crosscultural studies on this field are generally lacking. This study aimed to test a model in which individual and family variables are integrated into a single perspective as predictors of youth gambling behaviour, in two different contexts (i.e., Portugal and England). Methods: A total of 1,137 adolescents and young adults (552 Portuguese and 585 English) were surveyed on the measures of problem gambling, gambling frequency, sensation seeking, parental attachment, and cognitive distortions. Results: The results of this study revealed that in both Portuguese and English youth, the most played gambling activities were scratch cards, sports betting, and lotteries. With regard to problem gambling prevalence, English youth showed a higher prevalence of problem gambling. The findings of this study also revealed that sensation seeking was a common predictor in both samples. However, there were some differences on the other predictors be- tween the two samples. Conclusions: The findings of this study suggest that youth problem gambling and its risk factors appear to be influenced by the cultural context and highlights the need to conduct more cross-cultural studies on this field.
Demetrovics, Z., Richman, M., Hende, B., Blum, K., Griffiths, M.D, Magi, A., Király, O., Barta, C. & Urbán, R. (2017). Reward Deficiency Syndrome Questionnaire (RDSQ): A new tool to assess the psychological features of reward deficiency. Journal of Behavioral Addictions, 6 (Supplement 1), 11.
- ‘Reward Deficiency Syndrome’ (RDS) is a theory assuming that specific individuals do not reach a satisfactory state of reward due to the functioning of their hypodopaminergic reward system. For this reason, these people search for further rewarding stimuli in order to stimulate their central reward system (i.e., extreme sports, hypersexuality, substance use and/or other addictive behaviors such as gambling, gaming, etc.). Beside the growing genetic and neurobiological evidence regarding the existence of RDS little re- search has been done over the past two decades on the psychological processes behind this phenomenon. The aim of the present paper is to provide a psychological description of RDS as well as to present the development of the Reward Deficiency Syndrome Questionnaire (developed using a sample of 1,726 participants), a new four-factor instrument assessing the different aspects of reward deficiency. The results indicate that four specific factors contribute to RDS comprise “lack of satisfaction”, “risk seeking behaviors”, “need for being in action”, and “search for overstimulation”. The paper also provides psychological evidence of the association between reward deficiency and addictive disorders. The findings demonstrate that the concept of RDS provides a meaningful and theoretical useful context to the understanding of behavioral addictions.
Demetrovics, Z., Bothe, B., Diaz, J.R., RahimiMovaghar, A., Lukavska, K., Hrabec, O., Miovsky, M., Billieux, J., Deleuze, J., Nuyens, P. Karila, L., Nagygyörgy, K., Griffiths, M.D. & Király, O. (2017). Ten-Item Internet Gaming Disorder Test (IGDT-10): Psychometric properties across seven language-based samples. Journal of Behavioral Addictions, 6 (Supplement 1), 11.
- Background and aims: The Ten-Item Internet Gaming Disorder Test (IGDT-10) is a brief instrument developed to assess Internet Gaming Disorder as proposed in the DSM5. The first psychometric analyses carried out among a large sample of Hungarian online gamers demonstrated that the IGDT-10 is a valid and reliable instrument. The present study aimed to test the psychometric properties in a large cross-cultural sample. Methods: Data were collected among Hungarian (n = 5222), Iranian (n = 791), Norwegian (n = 195), Czech (n = 503), Peruvian (n = 804), Frenchspeaking (n = 425) and English speaking (n = 769) online gamers through gamingrelated websites and gaming-related social networking site groups. Results: Confirmatory factor analysis was applied to test the dimensionality of the IGDT-10. Results showed that the theoretically chosen one-factor structure yielded appropriate to the data in all languagebased subsamples. In addition, results indicated measurement invariance across all language-based subgroups and across gen- der in the total sample. Reliability indicators (i.e., Cronbach’s alpha, Guttman’s Lambda-2, and composite reliability) were acceptable in all subgroups. The IGDT- 10 had a strong positive association with the Problematic Online Gaming Questionnaire and was positively and moderately related to psychopathological symptoms, impulsivity and weekly game time supporting the construct validity of the instrument. Conclusions: Due to its satisfactory psychometric characteristics, the IGDT-10 appears to be an adequate tool for the assessment of internet gam- ing disorder as proposed in the DSM-5.
Throuvala, M.A., Kuss, D.J., Rennoldson, M. & Griffiths, M.D. (2017). Delivering school-based prevention regarding digital use for adolescents: A systematic review in the UK. Journal of Behavioral Addictions, 6 (Supplement 1), 54.
- Background: To date, the evidence base for school-delivered prevention programs for positive digital citizenship for adolescents is limited to internet safety programs. Despite the inclusion of Internet Gaming Disorder (IGD) as a pro- visional disorder in the DSM-5, with arguable worrying prevalence rates for problematic gaming across countries, and a growing societal concern over adolescents’ digital use, no scientifically designed digital citizenship programs have been delivered yet, addressing positive internet use among adolescents. Methods: A systematic database search of quantitative and qualitative research evidence followed by a search for governmental initiatives and policies, as well as, nonprofit organizations’ websites and reports was conducted to evaluate if any systematic needs assessment and/or evidence-based, school delivered prevention or intervention programs have been conducted in the UK, targeting positive internet use in adolescent populations. Results: Limited evidence was found for school-based digital citizenship awareness programs and those that were identified mainly focused on the areas of internet safety and cyber bullying. To the authors’ knowledge, no systematic needs assessment has been conducted to assess the needs of relevant stakeholders (e.g., students, parents, schools), and no prevention program has taken place within UK school context to address mindful and positive digital consumption, with the exception of few nascent efforts by nonprofit organizations that require systematic evaluation. Conclusions: There is a lack of systematic research in the design and delivery of school-delivered, evidence-based prevention and intervention programs in the UK that endorse more mindful, reflective attitudes that will aid adolescents in adopting healthier internet use habits across their lifetime. Research suggests that adolescence is the highest risk group for the development of internet addictions, with the highest internet usage rates of all age groups. Additionally, the inclusion of IGD in the DSM-5 as provisional disorder, the debatable alarming prevalence rates for problematic gaming and the growing societal focus on adolescents’ internet misuse, renders the review of relevant grey and published research timely, contributing to the development of digital citizenship programs that might effectively promote healthy internet use amongst adolescents.
Bányai, F., Zsila, A., Király, O., Maraz, A., Elekes, Z., Griffiths, M.D., Andreassen, C.S. & Demetrovics, Z. (2017). Problematic social networking sites use among adolescents: A national representative study. Journal of Behavioral Addictions, 6 (Supplement 1), 62.
- Despite being one of the most popular activities among adolescents nowadays, robust measures of Social Media use and representative prevalence estimates are lacking in the field. N = 5961 adolescents (49.2% male; mean age 16.6 years) completed our survey. Results showed that the one-factor Bergen Social Media Addiction Scale (BSMAS) has appropriate psychometric properties. Based on latent pro le analysis, 4.5% of the adolescents belonged to the at-risk group, who reported low self-esteem, high level of depression and the elevated social media use (34+ hours a week). Conclusively, BSMAS is an adequate measure to identify those adolescents who are at risk of problematic Social Media use and should therefore be targeted by school-based prevention and intervention programs.
Bothe, B., Toth-Király, I. Zsila, A., Griffiths, M.D., Demetrovics, Z. & Orosz, G. (2017). The six-component problematic pornography consumption scale. Journal of Behavioral Addictions, 6 (Supplement 1), 62.
- Background and aims: To our best knowledge, no scale ex- ists with strong psychometric properties assessing problematic pornography consumption which is based on an over- arching theoretical background. The goal of the present study was to develop a short scale (Problematic Pornography Consumption Scale; PPCS) on the basis of Griffiths` (2005) six-component addiction model that can assess problematic pornography consumption. Methods: The sample comprised 772 respondents (390 females; Mage = 22.56, SD = 4.98 years). Items creation was based on the definitions of the components of Griffiths’ model. Results: A confirmatory factor analysis was carried out leading to an 18item secondorder factor structure. The reliability of the PPCS was good and measurement invariance was established. Considering the sensitivity and specificity values, we identified an optimal cutoff to distinguish between problematic and non-problematic pornography users. In the present sample, 3.6% of the pornography consumers be- longed to the at-risk group. Discussion and Conclusion: The PPCS is a multidimensional scale of problematic pornography consumption with strong theoretical background that also has strong psychometric properties.
Dr Mark Griffiths, Professor of Behavioural Addiction, International Gaming Research Unit, Nottingham Trent University, Nottingham, UK
drmarkgriffiths 