Category Archives: Internet gambling
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.
Place your bets: Has problem gambling in Great Britain decreased?
In the summer of 2014 I was commissioned to review problem gambling in Great Britain (the fall out of which I wrote about in detail in a previous blog). Earlier last year, a detailed report by Heather Wardle and her colleagues examined gambling behaviour in England and Scotland by combining the 2012 data from the Health Survey for England (HSE; n=8,291 aged 16 years and over) and the 2012 Scottish Health Survey (SHeS; n=4,815). To be included in the final data analysis, participants had to have completed at least one of the gambling participation questions. This resulted in a total sample of 11,774 participants. So what did the research find? Here is a brief summary of the main results:
- Two-thirds of the sample (65%) had gambled in the past year, with men (68%) gambling more than women (62%). As with the British Gambling Prevalence Survey (BGPS), past year participation was greatly influenced by the playing of the bi-weekly National Lottery (lotto) game. Removal of those individuals that only played the National Lottery meant that 43% had gambled during the past year (46% males and 40% females).
- Gambling was more likely to be carried out by younger people (50% among those aged 16-24 years and 52% among those aged 25-34 years).
- The findings were similar to the previous BGPS reports and showed that the most popular forms of gambling were playing the National Lottery (52%; 56% males and 49% females), scratchcards (19%; 19% males and 20% females), other lottery games (14%; 14% both males and females), horse race betting (10%; 12% males and 8% females), machines in a bookmaker (3%; 5% males and 1% females), slot machines (7%; 10% males and 4% females), online betting with a bookmaker (5%; 8% males and 2% females), offline sports betting (5%; 8% males and 1% females), private betting (5%; 8% males and 2% females), casino table games (3%; 5% males and 1% females), offline dog race betting (3%; 4% males and 2% females), online casino, slots and/or bing (3%; 4% males and 2% females), betting exchanges (1%; males 2% and females 0%), poker in pubs and clubs (1%; 2% males and 0% females), spread betting (1%; 1% males and 0% females).
- The only form of gambling (excluding lottery games) where females were more likely to gamble was playing bingo (5%; 7% females and 3% males).
- Most participants gambled on one or two different activities a year (1.7 mean average across the total sample).
- Problem gambling assessed using the Problem Gambling Severity (PGSI) criteria was reported to be 0.4%, with males (0.7%) being significantly more likely to be problem gamblers than females (0.1%). This equates to approximately 180,200 British adults aged 16 years and over.
- Problem gambling assessed using the criteria of the fourth Diagnostic and Statistical Manual of Mental Disorders (DSM-IV) was reported to be 0.5%, with males (0.8%) being significantly more likely to be problem gamblers than females (0.1%). This equates to approximately 224,100 British adults aged 16 years and over.
- Using the PGSI screen, problem gambling rates were highest among young men aged 16-24 years (1.7%) and lowest among men aged 65-74 years (0.4%). Using the DSM-IV screen, problem gambling rates were highest among young men aged 16-24 years (2.1%) and lowest among men aged over 74 years (0.4%).
- Problem gambling rates were also examined by type of gambling activity. Results showed that among past year gamblers, problem gambling was highest among spread betting (20.9%), played poker in pubs or clubs (13.2%), bet on other events with a bookmaker (12.9%), bet with a betting exchange (10.6%) and played machines in bookmakers (7.2%).
- The activities with the lowest rates of problem gambling were playing the National Lottery (0.9%) and scratchcards (1.7%).
- Problem gambling rates were highest among individuals that had participated in seven or more activities in the past year (8.6%) and lowest among those that had participated in a single activity (0.1%).
The authors also carried out a latent class analysis and identified seven different types of gambler among both males and females. The male groups comprised:
- Cluster A: non-gamblers (33%)
- Cluster B: National Lottery only gamblers (22%)
- Cluster C: National Lottery and scratchcard gamblers only (20%)
- Cluster D: Minimal, no National Lottery [gambling on 1-2 activities] (9%)
- Cluster E: Moderate [gambling on 3-6 activities] (12%)
- Cluster F: Multiple [gambling on 6-10 activities] (3%)
- Cluster G: multiple, high [gambling on at least 11 activities] (1%).
The female groups comprised:
- Cluster A: non-gamblers (40%)
- Cluster B: National Lottery only gamblers (21%)
- Cluster C: National Lottery and scratchcard gamblers only (7%)
- Cluster D: Minimal, no National Lottery (8%)
- Cluster E: moderate, less varied [2-3 gambling activities, mainly lottery-related] (8%)
- Cluster F: moderate, more varied [2-3 gambling activities but wider range of activities] (6%)
- Cluster G: multiple [gambling on at least four activities] (6%)
Using these groupings, the prevalence of male problem gambling was highest among those in Cluster G: multiple high group (25.0%) followed by Cluster F: multiple group (3.3%) and Cluster E: moderate group (2.6%). The prevalence of problem gambling was lowest among those in the Cluster B; National Lottery Draw only group (0.1%) followed by Cluster C: minimal – lotteries and scratchcards group (0.7%). The prevalence of female problem gambling was highest among those in the Cluster G: multiple group (1.8%) followed by those in Cluster F: moderate – more varied group (0.6%). The number of female gamblers was too low to carry out any further analysis. The report also examined problem gambling (either DSM-IV or PGSI) by gambling activity type.
- The prevalence of problem gambling was highest among spread-bettors (20.9%), poker players in pubs or clubs (13.2%), bettors on events other than sports or horse/dog races (12.9%), betting exchange users (10.6%) and those that played machines in bookmakers (7.2%).
- The lowest problem gambling prevalence rates were among those that played the National Lottery (0.9%) and scratchcards (1.7%).
- These figures are very similar to those found in the 2010 BGPS study although problem gambling among those that played machines in bookmakers was lower (7.2%) than in the 2010 BGPS study (8.8%).
- As with the BGPS 2010 study, the prevalence of problem gambling was highest among those who had participated in seven or more activities in the past year (8.6%) and lowest among those who had taken part in just one activity (0.1%). Furthermore, problem gamblers participated in an average 6.6 activities in the past year.
Given that the same instruments were used to assess problem gambling, the results of the most recent surveys using data combined from the Health Survey for England (HSE) and Scottish Health Survey (SHeS) compared with the most recent British Gambling Prevalence Survey (BGPS) do seem to suggest that problem gambling in Great Britain has decreased over the last few years (from 0.9% to 0.5%). However, Seabury and Wardle again urged caution and noted:
“Comparisons of the combined HSE/SHeS data with the BGPS estimates should be made with caution. While the methods and questions used in each survey were the same, the survey vehicle was not. HSE and SHeS are general population health surveys, whereas the BGPS series was specifically designed to understand gambling behaviour and attitudes to gambling in greater detail. It is widely acknowledged that different survey vehicles can generate different estimates using the same measures because they can appeal to different types of people, with varying patterns of behaviour…Overall, problem gambling rates in Britain appear to be relatively stable, though we caution readers against viewing the combined health survey results as a continuation of the BGPS time series”.
There are other important caveats to take into account including the differences between the two screen tools used in the BGPS, HSE and SHeS studies. Although highly correlated, evidence from all the British surveys suggests that the PGSI and DSM-IV screens capture slightly different groups of problem gamblers. For instance, a 2010 study that I co-authored with Jim Orford, Heather Wardle, and others (in the journal International Gambling Studies) using data from the 2007 BGPS showed that the PGSI may under-estimate certain forms of gambling-related harm (particularly by women) that are more likely to be picked up by some of the DSM-IV items. Our analysis also suggested that the DSM-IV appears to measure two different factors (i.e., gambling-related harm and gambling dependence) rather than a single one. Another important distinction is that the two screens were developed for very different purposes (even though they are attempting to assess the same construct). The PGSI was specifically developed for use in population surveys whereas the DSM-IV was developed with clinical populations in mind. Given these differences, it is therefore unsurprising that national surveys that utilize the screens end up with slightly different results comprising slightly different groups of people.
It also needs stressing (as noted by the authors of most of the national gambling surveys in Great Britain) that the absolute number of problem gamblers identified in any of the surveys published to date has equated to approximately 60 people. To detect any significant differences statistically between any of the studies carried out to date requires very large sample sizes. Given the very low numbers of problem gamblers and the tiny number of pathological gamblers, it is hard to assess with complete accuracy whether there have been any significant changes in problem and pathological gambling between all the published studies over time. Wardle and her colleagues concluded that:
“Overall, based on this evidence, it appears that problem gambling rates in England and Scotland are broadly stable. Whilst problem gambling rates according to either the DSM-IV or the PGSI were higher in 2010, the estimate between 2007 and the health surveys data were similar. Likewise, problem gambling rates according to the DSM-IV and the PGSI individually did not vary statistically between surveys, meaning that they were relatively similar” (p.130).
Dr. Mark Griffiths, Professor of Gambling Studies, International Gaming Research Unit, Nottingham Trent University, Nottingham, UK
Further reading
Griffiths, M.D. (2014). Problem gambling in Great Britain: A brief review. London: Association of British Bookmakers.
Orford, J., Wardle, H., Griffiths, M.D., Sproston, K. & Erens, B. (2010). PGSI and DSM-IV in the 2007 British Gambling Prevalence Survey: Reliability, item response, factor structure and inter-scale agreement. International Gambling Studies, 10, 31-44.
Seabury, C. & Wardle, H. (2014). Gambling behaviour in England and Scotland. Birmingham: Gambling Commission.
Wardle, H. (2013). Gambling Behaviour. In Rutherford, L., Hinchliffe S., Sharp, C. (Eds.), The Scottish Health Survey: Vol 1: Main report. Edinburgh.
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. (2013). Gambling Behaviour. In Craig, R., Mindell, J. (Eds.) Health Survey for England 2012 [Vol 1]. Health, social care and lifestyles. Leeds: Health and Social Care Information Centre.
Wardle, H., Seabury, C., Ahmed, H., Payne, C., Byron, C., Corbett, J. & Sutton, R. (2014). Gambling behaviour in England and Scotland: Findings from the Health Survey for England 2012 and Scottish Health Survey 2012. London: NatCen.
Wardle, H., Sproston, K., Orford, J., Erens, B., Griffiths, M. D., Constantine, R., & Pigott, S. (2007). The British Gambling Prevalence Survey 2007. London: National Centre for Social Research.
Wardle, H., Sutton, R., Philo, D., Hussey, D. & Nass, L. (2013). Examining Machine Gambling in the British Gambling Prevalence Survey. Report by NatCen to the Gambling Commission, Birmingham.
The weighting game: Gambling with the nation’s health (revisited)
A couple of weeks ago I wrote a blog on why problem gambling should be considered a health issue. Earlier this week, I came across an interesting study carried out by jackpot.co.uk who surveyed 2,131 online gamblers (58% males and 42% female) about their health. After the self-reported data had been collected, the gamblers were classed into one of nine categories based on the casino game type that the gambler played most often (i.e., slot machines, video poker, blackjack, roulette, dice/craps, baccarat, poker, pai gow, and ‘other’). The data were then tabulated so that all the health variables (including obesity) corresponded to the gambler’s preferred casino game.
I was interested in the findings not only because I am a Professor of Gambling Studies, but also because I was a member of the Department of Health’s ‘Expert Working Group on Sedentary Behaviour, Screen Time and Obesity’ (a reference to our final report to the British government can be found in the ‘Further Reading’ section below). The study took an objective measurement of physical condition by asking each gambler their height (centimetres) and their weight (kilograms) to calculate each person’s Body Mass Index (BMI) by dividing the gamblers’ weight by height (metres) and dividing by height again (for example, someone who weighs 80kg and is 180cm tall, the BMI is 24.1 as this is 80/1.80)/1.80). The survey then asked s few general health and lifestyle questions (similar to ones that we have used in the last few British Gambling Prevalence Surveys:
- Do you normally drink more than the recommended limit for weekly alcohol consumption (21 units of alcohol for men and 14 for women)? (Yes/No)
- Do you smoke regularly? (Yes/No)
- Do you normally engage in at least 30 minutes of physical activity, 5 times per week? (Yes/No)
Overall, the survey found that British casino gamblers as a group were no less healthy than the rest of the British population, with an average Body Mass index (BMI) of 27 (which is the same as the UK national average). However, the survey also reported that the average BMIs, health, and lifestyle choices (such as smoking cigarettes, engaging in exercise, and drinking alcohol varied considerably depending on the casino games that the respondents played. Here are some of the main findings:
- Slots players were the least healthy. They took less exercise and had an average BMI of 31, pushing them into the category of obese (which is linked to increased chance of developing illnesses such as Type 2 diabetes and reduced life expectancy)
- Roulette, blackjack, video poker and craps/dice players were not far behind slots players, each having BMI levels higher than the national average.
- Those that played poker, baccarat and Pai Gow had an average BMI of 25 or under (well within the normal range recommended by the World Health Organisation.
- Whilst drinking levels might be reasonably high among poker players, they were very exercise conscious, with 58% engaging in physical activity for at least 30 minutes, five times a week. For slots players the figure was 27% meeting this government recommended target.
- Overall slots players drink the most, with 24.1% drinking over the recommended weekly limit. Poker players are not far behind on 23%. Female slots players were the biggest drinking subgroup, closely followed by male poker players.
- Slots players also smoked more, with 24% being regular smokers (compared to the UK national average of 20%). Blackjack and roulette players smoked slightly more than average, on 21% and 22% respectively, while poker players smoked slightly less than average, on 19.5%.
None of these results is overly surprising as there are many studies (including my own) showing comorbidity between gambling and other potentially addictive behaviours. However, very few academic studies have ever looked at these health variables by game type. Although this was not an academic study, the results will likely be of interest to those in the gambling studies field.
The survey also examined the most common platform on which the gamblers played casino games. The most common was the desktop computer (65%), followed by mobiles and tablets (20%) and land-based casinos (14%). This is not surprising given the survey was completed by online gamblers. Interestingly, desktop use was linked to higher levels of obesity, drinking and smoking. This is something that I would expect given that online gambling is the most sedentary of these activities.
There are (of course) some limitations with the data collected particularly as it comprised a self-selected sample of online gamblers that played via jackpot.co.uk websites. We have no idea as to whether the sample is representative of all online gamblers but as I noted above, it is no surprise that online gamblers preferred playing casino games online compared to offline (i.e., land-based casinos). The data were also self-report and are therefore open to any number of individual biases including recall biases and social desirability biases. Also, we have no geographical breakdown of the sample as the internet (by definition) is global. However, the sample size is good in comparison to many published studies on gambling and the sample included individuals that were actually gamblers (as opposed to university undergraduates or members of the general public). According to Sam Marsden (editor of jackpot.co.uk and author of the report):
“There’s an undeniable link connecting passive games like slots and video poker to unhealthy, sedentary lifestyles. On the other hand, games that require concentration, strategy and some physical stamina like poker and blackjack seem to fare much better in the health stakes. It seems it’s less a case of ‘you are what you eat’ and more ‘you are what you play’.”
Although such a conclusion could be argued to be PR spin on the findings, the results suggest that more rigorous studies could be carried out in the area including secondary analyses of the robust datasets that already exist including the British Gambling Prevalence Surveys, the English Health Surveys, and the Scottish health Surveys.
Dr. Mark Griffiths, Professor of Gambling Studies, International Gaming Research Unit, Nottingham Trent University, Nottingham, UK
Further reading
Biddle, S., Cavill, N., Ekelund, U., Gorely, T., Griffiths, M.D., Jago, R., et al. (2010). Sedentary Behaviour and Obesity: Review of the Current Scientific Evidence. London: Department of Health/Department For Children, Schools and Families (126pp).
Griffiths, M.D. (2001). Gambling – An emerging area of concern for health psychologists. Journal of Health Psychology, 6, 477-479.
Griffiths, M.D. (2004). Betting your life on it: Problem gambling has clear health related consequences. British Medical Journal, 329, 1055-1056.
Griffiths, M.D. (2007). Gambling Addiction and its Treatment Within the NHS. London: British Medical Association (ISBN 1-905545-11-8).
Griffiths, M.D., Wardle, J., Orford, J., Sproston, K. & Erens, B. (2010). Gambling, alcohol consumption, cigarette smoking and health: findings from the 2007 British Gambling Prevalence Survey. Addiction Research and Theory, 18, 208-223.
Griffiths, M.D., Wardle, J., Orford, J., Sproston, K. & Erens, B. (2011). Internet gambling, health. Smoking and alcohol use: Findings from the 2007 British Gambling Prevalence Survey. International Journal of Mental Health and Addiction, 9, 1-11.
Marsden, S. (2014). Booze, bets, and BMI. Jackpot.co.uk, October 6. Located at: http://www.jackpot.co.uk/online-casino-articles/booze-bets-bmi
Rigbye, J. & Griffiths, M.D. (2011). Problem gambling treatment within the British National Health Service. International Journal of Mental Health and Addiction, 9, 276-281.
Wardle, H., Griffiths, M.D., Orford, J., Moody, A. & Volberg, R. (2012). Gambling in Britain: A time of change? Health implications from the British Gambling Prevalence Survey 2010. International Journal of Mental Health and Addiction, 10, 273-277.
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., Payne, C., Byron, C., Corbett, J. & Sutton, R. (2014). Gambling behaviour in England and Scotland: Findings from the Health Survey for England 2012 and Scottish Health Survey 2012. London: NatCen.
Wardle, H., Sproston, K., Orford, J., Erens, B., Griffiths, M. D., Constantine, R., & Pigott, S. (2007). The British Gambling Prevalence Survey 2007. London: National Centre for Social Research.
Net losses: What are the downsides of online therapy for problem gamblers and clinicians?
In my last blog, I briefly looked at the advantages of online therapy. However, the growth of online therapy is not without its critics. I may have given the impression in my previous blog that online therapy has nothing but positive implications. However, this blog briefly examines some of the main criticisms that have been levelled against online therapy. This loist is not exhaustive but hopefully covers the key concerns:
- Legal and ethical considerations: As Internet counselling services grow, attention will have to be focused on the specialist construction of a legal and ethical code for this type of work. Cyberspace transcends state and international borders, therefore, there are many legal and regulatory concerns. For example, client/doctor confidentiality regulations differ from one jurisdiction to another. It may not be legal for a clinician to provide chat-room services to problem gamblers who are in a jurisdiction in which the clinician is not licensed. Furthermore, some problem gamblers may be excluded from telehealth services because they lack the financial resources to access the Internet. One potential ethical and legal dilemma is the extent to which service quality can be ensured. It is possible that individuals who register to provide counselling services online do not have the qualifications and skills they advertise. They may not even be licensed to practice. There are also issues regarding the conduct of practitioners engaged in all forms of telecommunication therapy. For example: issues of informed consent, the security of electronic medical records, electronic claims submissions and so forth. Therapy provided over the Internet holds promise but there is a need to check that it works and see to it that, if it is done then it is done well. Underlying guidelines that are applicable to all forms of counselling are that: (i) the therapist must be trained, supervised and accountable with qualifications that can be checked against a list held by a mainstream organisation, and (ii) the nature of the contract between client and practitioner must be spelled out so clients understand the boundaries of what they are receiving for what they are paying.
- Effectiveness of online therapy: There are a growing number of evaluation studies that have examined whether online therapy is an effective treatment approach. With specific regard to problem gambling, my research colleague Dr. Gerry Cooper reported that about 70% spoke of how they benefited from their exposure to and involvement with GAweb, an online peer support group. An evaluation that I carried out with Dr. Richard Wood of Gam-Aid also showed that participants derived great benefit from using the online service and was particularly attractive for problem online gamblers (that are already comfortable with interacting online).
- Confidentiality: Online therapy may compromise privacy and confidentiality, particularly if a skilled computer ‘hacker’ is determined to locate information about a particular individual. There is also some evidence that as more personal information is required of counselling sites online, the attractiveness of these sites is reduced. On the other hand, one of the things that the Internet is especially helpful with is its ability to afford the consumer the control over self-disclosure. In this way, individuals may overestimate the degree to which their information is safe and secure from computer hackers.
- Encryption: No online therapist can confidently promise a problem gamblers confidentiality given the limitations of the medium. That being said, there are some sites that now offer secure messaging systems that offer the same level of protection as banking institutions. To protect confidentiality, care will have to be taken to prevent inappropriate and deliberate hacking into counselling sessions on the Internet. There will need to be a continuous upgrading of technology to stay ahead of hackers’ ability to breach security.
- Complicated payment structures: Given the cross-national nature of the Internet, there may be complicated pay structures for problem gamblers to overcome when selecting a therapist. While universally-accepted credit cards might actually make payment easier (since one can use their credit card online and the credit card company will automatically calculate the currency exchange for the transaction), one may not immediately understand how much the online counselling has cost in their own currency. They may not know this until their credit card invoice arrives at a later date.
- Cost-effectiveness to the therapist: For the therapist, there is the problem that online counselling may be as time consuming as face-to-face therapy with substantially less financial remuneration.
- Identity problems: One of the major potential problems is that online problem gamblers may not be who they say they are, i.e., counsellors may not always know the true identity of their online clients (although identity is an issue only applicable to those services that are not anonymous). This is clearly a major issue since some assumptions (rightly or wrongly) are made by the clinician depending on what the problem gambler presents (including age and other demographics). However, to some extent, these issues also apply to telephone and face-to-face counselling as the therapist has to accept what is said at face value. Additionally, some might argue that merely responding to the words that a problem gambler chooses to use necessitates more focus on the part of the therapist. As a result, this may lead to a more democratic counselling environment. In other words, the role of therapist and problem gambler becomes more equal in this situation. Some therapists may have difficulty adapting to these new roles.
- Severity of client problems: Some clients’ problems may be just too severe to be dealt with over the Internet. To some extent, there can always be contingencies, but because people can come from anywhere in the world and have a multitude of circumstances, online clinicians may be hard-pressed to meet everyone’s needs. It is important to acknowledge that this is not a panacea; that online help will not solve everybody’s problems (to be sure, those who are illiterate will likely have a difficult time of it without some additional support nearby). On the other hand, it is likely to go a long way in helping a great many more people than otherwise would have been the case.
- Client referral problems: One obvious difficulty for the counsellor is how to go about making a referral for someone in a faraway town or another country. Once again, one would need to establish basic contingencies. Over time, it could be expected there would be many more international-regional clearinghouses regarding where to get immediate assistance, but to date it is very difficult to know what services are available for many parts of the world.
- Establishing client rapport: It could perhaps be argued that there might be difficulty in establishing rapport with someone that the therapist has never seen. This is an interesting area where clearly more information is needed. One might also argue that because the problem gambler is in a more equal relationship with the therapist, they will feel more comfort. That is, since the problem gambler controls all of the personal disclosure levers, rapport might be established much more easily.
- No face-to-face contact: Online therapy leads to a loss of non-verbal communication cues such as particular body language, voice volume and tone of voice. Furthermore, the lack of face-to-face interaction between problem gambler and therapist could result in a wrong referral or diagnosis. What is known about online communication where cues are filtered out, is that it typically takes more work to accomplish a task where more than one person is involved. It may be the case that with time and experience, therapists who work online will develop skills that will help them compensate for the absence of visual cues. For example, they might become much more skilled and precise with the words they choose to use.
- Incomplete information: The written information provided in online therapy may be incomplete. Online therapy (via e-mail) may not allow the opportunity for immediate follow-up questions. Making a provisional recommendation or diagnosis is fraught with potential problems. For instance, a problem gambler may describe problems that are symptomatic of other more serious underlying disorders. However, diagnostic processes are quite heterogeneous practices even in face-to-face settings. Diagnoses are often provisional and therapists usually require more information to validate initial observations. In fact, clinicians might have better access to their clients through e-mail than trying to track them down face-to-face or exchanging telephone answer messages, should they need further information. Still, the information derived from problem gamblers in online formats may be unverifiable, more so than in face-to-face contexts.
- Loss of therapist contact: Although perhaps more of a possibility than a reality, therapists can just ‘disappear’ only to re-emerge weeks later saying that their server failed and/or leave a problem gambler mid-therapy with little that the problem gambler can do about it. The same problem could occur with some clinicians in face-to-face settings although being online may be more of a problem in finding out what has happened.
- Commercial exploitation: Consumers theoretically are not always as anonymous as they might think when they visit health sites because some sites share visitors’ personal health information with advertisers and business partners without consumers’ knowledge or permission. Some sites allow third-party advertisers to collect visitors’ personal information without disclosing this practice. As a result, visitors may get e-mails from advertisers about their products and services. Information can be collected during a variety of tasks including the visiting of chat rooms and bulletin boards, searching for information, subscribing to electronic newsletters, e-mailing articles to friends or filling out health-assessment forms. This allows third parties to build detailed, personally identified profiles of individuals’ health conditions and patterns of Internet use. In relation to gamblers, this is a real issue. By virtue of posting to places where problem gamblers talk to each other online with an accurate e-mail address shown, online gambling operators have the potential to collect such information in order to later send junk e-mail promoting their gambling websites. Other questionable and fraudulent marketing practices by online operators have also been outlined in my previous blogs.
- Emergency situations: Being online and geographically distant has the potential to cause problems in an acute situation. For instance, if a clinician does not know where a problem gambler lives or can be located, they cannot call for help in the case of an emergency such as a suicidal threat.
- Convenience: Although convenience was outlined as an advantage in the previous section, it can also have a downside. For instance, it may mean that the problem gambler is less likely to draw on their own existing coping strategies and use the online therapist as a convenient crutch (something which is actively discouraged in face-to-face therapy).
Hopefully this blog has redressed the balance of my previous blog on the positive benefits of online therapy. Anyone that seeks online advice, help, and/or treatment needs to carefully do their own cost-benefit analysis as to whether such an online service will be of direct benefit to them after taking into account some of the disadvantages outlined here.
Dr Mark Griffiths, Professor of Gambling Studies, International Gaming Research Unit, Nottingham Trent University, Nottingham, UK
Further reading
Bloom, W. J. (1998). The ethical practice of Web Counseling. British Journal of Guidance and Counselling, 26 (1), 53-59.
Connall, J. (2000). At your fingertips: Five online options. Psychology Today, May/June, 40.
Griffiths, M.D. (2001). Online therapy: A cause for concern? The Psychologist: Bulletin of the British Psychological Society, 14, 244-248.
Griffiths, M.D. (2005). Online therapy for addictive behaviors. CyberPsychology and Behavior, 8, 555-561.
Griffiths, M.D. (2010). Online advice, guidance and counseling for problem gamblers. In M. Manuela Cunha, António Tavares & Ricardo Simões (Eds.), Handbook of Research on Developments in e-Health and Telemedicine: Technological and Social Perspectives (pp. 1116-1132). Hershey, Pennsylvania: Idea Publishing.
Griffiths, M.D. & Cooper, G. (2003). Online therapy: Implications for problem gamblers and clinicians, British Journal of Guidance and Counselling, 13, 113-135.
Rabasca, L. (2000). Self-help sites: A blessing or a bane? APA Monitor on Psychology, 31(4), 28-30.
Segall, R. (2000). Online shrinks: The inside story. Psychology Today, May/June, 38-43.
Wood, R.T.A. & Griffiths, M.D. (2007). Online guidance, advice, and support for problem gamblers and concerned relatives and friends: An evaluation of the Gam-Aid pilot service. British Journal of Guidance and Counselling, 35, 373-389.
Wood, R. T., & Wood, S. A. (2009). An evaluation of two United Kingdom online support forums designed to help people with gambling issues. Journal of Gambling Issues, 23, 5-30.
Net gains: What are the benefits of online therapy for problem gamblers and clinicians?
“A 35-year old man comes home very late from a night out at the casino having lost all his savings at the roulette wheel. Unable to sleep, he logs onto the Internet and locates a self-help site for problem gambling and fills out a 20-item gambling checklist. Within a few hours he receives an E-mail which suggests he may have an undiagnosed gambling disorder. He is invited to revisit the site to learn more about his possible gambling disorder, seek further advice from an online gambling counsellor and join an online gambling self-help group” (from Griffiths and Cooper, 2003)
On initial examination, this fictitious scenario appears of little concern until a number of questions raise serious concerns. For instance, who scored the gambling test? Who will monitor the gambling self-help group? Who will give online counselling advice for the gambling problem? Does the counsellor have legitimate qualifications and experience regarding gambling problems? Who sponsors the gambling website? What influence do the sponsors have over content of the site? Do the sponsors have access to visitor data collected by the website? These are all questions that may not be raised by a problem gambler in crisis seeking help but they are important questions that require answers. Of course, these are also questions that should apply to any comparable face-to-face interventions.
The Internet could be viewed as just a further extension of technology being used to transmit and receive communications between the helper and the helped. If gambling practitioners shun the new technologies, others who might have questionable ethics will likely come in to fill the clinical vacuum. Online therapy is growing. Furthermore, its growth appears to outstrip any efforts to organize, limit and regulate it. It has been claimed that online therapy is a viable alternative source of help when traditional psychotherapy is not accessible. Proponents claim it is effective, private and conducted by skilled, qualified, ethical professionals. It is further claimed that for some people, it is the only way they either can or will get help (from professional therapists and/or self-help groups).
Psychological services provided on the Internet range from basic information sites about specific disorders, to self-help sites that assess a person’s problem, to comprehensive psychotherapy services offering assessment, diagnosis and intervention. Most experts agree that online therapy currently available is not traditional psychotherapy. For many, it appears to be an alternative for those who are either unable or reluctant to seek face-to-face treatment. There have been many reasons put forward as to why online assistance is advantageous. Here are the main ones:
- Online therapy is convenient: Online therapy is convenient to deliver, and can provide a way to seek instant advice or get quick and discreet information. In the case of counselling by E-mail, one needs to keep in mind that therapy per se can occur either via professionally delivered formats or via peer-delivered self-help groups. In addition, the counselling might not necessarily be restricted to E-mail; some might augment face-to-face counselling with E-mail ‘booster’ sessions. In this way, correspondence happens at the convenience of both the client and the counsellor. Online therapy avoids the need for scheduling and the setting of appointments, although for those who want them, appointments can be scheduled over a potential 24-hour period. For problem gamblers who might have a sense of increased risk or vulnerability, they can take immediate action via online interventions, as these are available on demand and at any time. Crisis workers often report that personal crises occur beyond normal office hours, making it difficult for people to obtain help from mental health clinicians and the like. If a problem gambler has lost track of time at the casino only to depart depressed, broke, and suicidal at 4am in the morning, they can perhaps reach someone at that hour who will be understanding, empathic and knowledgeable. They likely have a better chance of finding someone at an online peer-support site like GamTalk (gamtalk.org) than they would at their local mental health centre.
- Online therapy is cost-effective for clients: Compared with traditional face-to-face therapies, online therapy is cheaper. This is a big selling point often used by those selling their services online (for instance, some sites advertise their online services as ‘less than the customary cost of a private therapy session’ or ‘help and therapy at a reasonable fee’). This is obviously an advantage to those who may have low financial resources. It may also allow practitioners to provide services to more clients because less time is spent travelling to see them. Since there are financial consequences for a gambler, cheaper forms of therapy such as online therapy may be a preferred option out of necessity rather than choice. The cost factor is particularly important in countries where people are often forced to pay for health care (for example, in the United States). With the Internet, quality information and support (even if treatment is not yet freely available online) is available without cost. Arguably, one needs Internet access, but this too is becoming more freely available, and conceivably, even those who are homeless would be able to utilize such services through places like public libraries (although, literacy would continue to be an important requirement).
- Online therapy overcomes barriers that otherwise may prevent people from seeking face-to-face help: There are many different groups of people who might benefit from online therapy. For example, those who are (i) physically disabled, (ii) agoraphobic, (iii) geographically isolated and/or do not have access to a nearby therapist (military personnel, prison inmates, housebound individuals etc.), (iv) linguistically isolated, and (v) embarrassed, anxious and/or too nervous to talk about their problems face-to-face with someone, and/or those who have never been to a therapist before might benefit from online therapy. Some like those with agoraphobia and/or the geographically isolated, might be more susceptible to activities like online gambling because they either tend not to leave home much or they do not have access to more traditional gambling facilities (like casinos, bingo halls, racetracks and so forth). It is clear that those that are most in need of help (whether it is for mental health problems, substance abuse or problem gambling often do not receive it).
- Online therapy helps to overcome social stigma: The social stigma of seeing a therapist can be the source of profound anxiety for some people. However, online psychotherapists offer clients a degree of anonymity that reduces the potential stigma. Gambling may be particularly stigmatic for some because they may find it is a self-initiated problem. Others have found that the issue of stigma has caused some problem gamblers to avoid seeking treatment. Furthermore, in an exploratory study, my research colleague Dr. Gerry Cooper found that there was a correlation between higher levels of concerns about stigma and the absence of treatment utilization, and that lurking (i.e., visiting but not registering presence to other users) at a problem gambling support group website made it easier for many to seek help including face-to-face help. It should also be noted that there is strong emerging evidence for the power and effectiveness of narrative therapies. For example, there is some evidence to suggest that a person’s use of positive emotion words in their written articulations of difficult or problematic experiences lead to improved health changes.
- Online therapy allows therapists to reach an exponential amount of people: Given the truly international cross-border nature of the Internet, therapists have a potential global clientele. Furthermore, gambling itself has been described as the ‘international language’ and has spread almost everywhere within international arenas.
From the brief outline presented here, it would appear that in some situations, online therapy can be helpful – at least to some specific sub-groups of society, some of which may include problem gamblers. Furthermore, online therapists will argue that there are responsible, competent, ethical mental health professionals forming effective helping relationships via the Internet, and that these relationships help and heal. However, online therapy is not appropriate for everyone. As with any new frontier, there are some issues to consider before trying it. In my next blog I will look at some of the downsides of online therapy.
Dr Mark Griffiths, Professor of Gambling Studies, International Gaming Research Unit, Nottingham Trent University, Nottingham, UK
Further reading
Bloom, W. J. (1998). The ethical practice of Web Counseling. British Journal of Guidance and Counselling, 26 (1), 53-59.
Connall, J. (2000). At your fingertips: Five online options. Psychology Today, May/June, 40.
Griffiths, M.D. (2001). Online therapy: A cause for concern? The Psychologist: Bulletin of the British Psychological Society, 14, 244-248.
Griffiths, M.D. (2005). Online therapy for addictive behaviors. CyberPsychology and Behavior, 8, 555-561.
Griffiths, M.D. (2010). Online advice, guidance and counseling for problem gamblers. In M. Manuela Cunha, António Tavares & Ricardo Simões (Eds.), Handbook of Research on Developments in e-Health and Telemedicine: Technological and Social Perspectives (pp. 1116-1132). Hershey, Pennsylvania: Idea Publishing.
Griffiths, M.D. & Cooper, G. (2003). Online therapy: Implications for problem gamblers and clinicians, British Journal of Guidance and Counselling, 13, 113-135.
Rabasca, L. (2000). Self-help sites: A blessing or a bane? APA Monitor on Psychology, 31(4), 28-30.
Segall, R. (2000). Online shrinks: The inside story. Psychology Today, May/June, 38-43.
Wood, R.T.A. & Griffiths, M.D. (2007). Online guidance, advice, and support for problem gamblers and concerned relatives and friends: An evaluation of the Gam-Aid pilot service. British Journal of Guidance and Counselling, 35, 373-389.
Wood, R. T., & Wood, S. A. (2009). An evaluation of two United Kingdom online support forums designed to help people with gambling issues. Journal of Gambling Issues, 23, 5-30.