Blog Archives

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

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


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

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

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

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

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

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

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

Further reading

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

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

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

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

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

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

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

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

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

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

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

The Social Research Centre (2013) Gambling prevalence in South Australia. Adelaide, Australia: Office for problem gambling. Available from:

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

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

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

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.