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Net calls: Is online gambling regulation a help or hindrance?
Online gambling regulation is a hot topic and many online gambling operators are wondering what the effect of increased (and arguably stricter) legislative measures will have on the online gambling market. Based on the studies that our research unit has carried out, I would guess that overall it is good news for the industry as I believe this will lead to an increased uptake by those people who are somewhat sceptical or agnostic about online gaming. So why do I think this?
Despite the increase in online gambling research over the last ten years, there has been very little empirical research examining why people gamble online or – just as importantly – why they don’t gamble online. Because there is so little research in this area, Dr Abby McCormack and I published a study in the International Journal of Mental Health and Addiction with adult online and offline gamblers examining the motivating and inhibiting factors in online gambling.
Our findings on the inhibiting factors of online gambling identified one major overarching theme as to what people don’t like about gambling online. In a nutshell, gamblers said that the authenticity of gambling was reduced when gambling online. However, many online gaming operators have now introduced more ‘realistic’ live gaming experiences (e.g., via webcams) so this may diminish over time. However, we also identified other online gaming inhibitors (i.e., the asocial nature and characteristics of the internet, the reduced psychological value of gambling with virtual money, and concerns about the safety of online gambling websites and their trustworthiness). These factors all contributed to the reduced authenticity of the online gambling experience.
Issues around website security, safety and trust, were all major inhibitors that decreased the likelihood of punters gambling online. Predictably, we found that online gamblers were much more likely than the offline gamblers and non-gamblers to believe that the gambling websites were secure. However, there was a perception that some websites were considered more trustworthy than others, and consequently the gamblers generally played on well known sites (e.g., companies that were well established offline).
So what are the implications of these findings for stricter online gaming regulation? From a psychological perspective, research on how and why people access commercial websites indicates that one of the most important factors is trust. If people know and trust the name, they are more likely to use that service. Reliability of the service provider is also a related key factor. Stricter regulation is likely to increase consumer confidence if they feel more protected when they perceive the service to be unfair and/or goes wrong. It is likely to change sceptical gamblers’ perceptions about the reliability and trustworthiness of online gaming operators for the better (no pun intended!).
Even with increased protective legislation, research shows that some punters will always have concerns about Internet security and may never be happy about putting their personal details online. But this mistrust will diminish over the long-term as the ‘screenagers’ of today (the so-called ‘digital natives’) are the potential gamblers of tomorrow. Digital natives generally have more positive attitudes towards online commercial operations. Today’s children and younger adolescents have never known a world without the Internet, mobile phones and interactive television, and are therefore tech-savvy, have no techno-phobia, and are very trusting of these new technologies. For many ‘screenagers’, their first gambling experiences may come not in a traditional offline environment but via the Internet, mobile phone or interactive television. Stricter regulation may not even be an issue for tomorrow’s gamblers as they are already accessing a myriad of online services and are highly trusting of such services.
Despite the lack of trust by some players, the online gaming industry shouldn’t be too worried about stricter regulation. The prevalence of online gambling is steadily increasing and there are lots of reasons why some punters prefer online to offline gambling. Our research findings indicate that those who prefer online (to offline) gambling like the increased convenience, the greater value for money, the greater variety of games, and the anonymity.
Furthermore, online gambling has many advantages for punters as it saves time because they don’t have to travel anywhere, they are not restricted by opening hours, and they can gamble from the comfort of their own home. The removal of unnecessary time consumption (e.g., travelling to a gambling venue) through online gambling is another barrier to gambling participation that had been removed. Increased regulation is highly unlikely to change any of these important motivating factors for gambling online.
Finally, compared to offline gamblers, our research also indicates that online gamblers are more likely to be male, young adults, single, have good qualifications, and in professional and managerial employment. Given this particular demographic profile, this group appears to be highly educated, and are likely to make well informed decisions to gamble online based on due consideration of the facts at hand. Again, stricter regulation is something that is likely to strengthen the decision to gamble rather than inhibit it.
Dr Mark Griffiths, Professor of Gambling Studies, International Gaming Research Unit, Nottingham Trent University, Nottingham, UK
Further reading
Griffiths, M.D., Wardle, J., Orford, J., Sproston, K. & Erens, B. (2009). Socio-demographic correlates of internet gambling: findings from the 2007 British Gambling Prevalence Survey. CyberPsychology and Behavior, 12, 199-202.
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.
McCormack. A. & Griffiths, M.D. (2012). Motivating and inhibiting factors in online gambling behaviour: A grounded theory study. International Journal of Mental Health and Addiction, 10, 39-53.
McCormack. A. & Griffiths, M.D. (2012). What differentiates professional poker players from recreational poker players? A qualitative interview study. International Journal of Mental Health and Addiction, 10, 243-257.
McCormack, A. & Griffiths, M.D. (2013). A scoping study of the structural and situational characteristics of internet gambling. International Journal of Cyber Behavior, Psychology and Learning, 3(1), 29-49.
McCormack, A., Shorter, G. & Griffiths, M.D. (2013). An examination of participation in online gambling activities and the relationship with problem gambling. Journal of Behavioral Addictions, 2(1), 31-41.
McCormack, A., Shorter, G. & Griffiths, M.D. (2013). Characteristics and predictors of problem gambling on the internet. International Journal of Mental Health and Addiction, 11, 634-657.
Parke, A. & Griffiths, M.D. (2011). Poker gambling virtual communities: The use of Computer-Mediated Communication to develop cognitive poker gambling skills. International Journal of Cyber Behavior, Psychology and Learning, 1(2), 31-44.
Parke, A. & Griffiths, M.D. (2011). Effects on gambling behaviour of developments in information technology: A grounded theoretical framework. International Journal of Cyber Behaviour, Psychology and Learning, 1(4), 36-48.
Parke, A. & Griffiths, M.D. (2012). Beyond illusion of control: An interpretative phenomenological analysis of gambling in the context of information technology. Addiction Research and Theory, 20, 250-260.
Wardle, H., Moody, A., Griffiths, M.D., Orford, J. & and Volberg, R. (2011). Defining the online gambler and patterns of behaviour integration: Evidence from the British Gambling Prevalence Survey 2010. International Gambling Studies, 11, 339-356.
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.