The Self-Regulation of Gambling

Despite the prevalence of gambling world-wide, relatively few individuals become problem gamblers. Additionally many problem gamblers recover without professional assistance. The current study aim was to examine how individuals self-manage their gambling through (a) assessing frequency of use of a range of self-regulation strategies (b) examining how these strategies cluster and (c) exploring relationships between strategies, gambling frequency, amount spent and problem gambling severity. A sample of 303 gamblers was recruited, over-sampling for problem gamblers as assessed by the Problem Gambling Severity Index (PGSI) of the Canadian Problem Gambling Index (mean age 26.4 years, SD = 10.1 years; 119 males, 184 females; 238 social gamblers, 63 problem gamblers, 2 unclassified). They rated extent of usage of 27 gambling self-management techniques and completed the PGSI and other gambling measures. Factor analysis of items produced five factors, named Cognitive Approaches, Direct Action, Social Experience, Avoidance and Limit Setting. The relationships between these factors and key gambling variables were consistent with hypotheses that problem gamblers trying to reduce their gambling would be more likely to use the strategies than other gambler groups. The potential for developing the factors into a Gambling Self-regulation Measure was explored.     

Development and validation of the Protective Gambling Beliefs Scale (PGBS)

This article aimed to develop and validate a measure of protective beliefs – distinct from the absence of erroneous beliefs – that may be associated with resistance to gambling problems. Study 1 was designed to determine the reliability and content validity of a preliminary set of protective belief items. Participants (N = 1479, 813 males) also completed the Problem Gambling Severity Index (PGSI). Most items were associated with reduced risk of problems; however, items relating to an awareness of gambling harm, and preparedness to lose money were positively correlated with gambling problems and were therefore not demonstrably protective. Study 2 sought to reduce scale size and assess the scale’s ability to predict risk of gambling problems. Participants (N = 1168, 625 males) completed belief items, the PGSI, and measures of gambling consumption and cognitive distortions. Results showed that endorsement of protective beliefs was negatively correlated with PGSI, gambling consumption and cognitive distortions, and predicted PGSI above that of cognitive distortions. Findings suggest that the Protective Gambling Beliefs Scale (PGBS) offers a unique tool for understanding resistance to the development of gambling problems. Future research should focus on exploring whether protective beliefs can diminish the likelihood of the onset of problem gambling.     

Problem Gambling Inside and Out: The Assessment of Community and Institutional Problem Gambling in the Canadian Correctional System

This paper reports on the results of a multi-site survey of gambling behaviour and gambling problems amongst offenders in correctional institutions in Ontario, Canada, conducted between 2008 and 2011. A total of 422 (completion rate 61.5 %) incarcerated offenders (381 male and 41 female) took part in the study including 301 federal offenders and 121 provincial offenders. Based on the Problem Gambling Severity Index of the Canadian Problem Gambling Index (CPGI/PGSI) the prevalence rate of severe problem gambling was 8.9 prior to incarceration and 4.4 % during incarceration. These numbers are substantially higher than rates found among the general public. Thirty-four percent of the sample reported gambling in prison. Half of those who suffered from gambling problems before incarceration continued to have gambling problems during incarceration. People with problems related to slot machines prior to incarceration reported fewer gambling problems during incarceration compared to other problem gamblers.     

Validity of the Problem Gambling Severity Index Interpretive Categories

The Problem Gambling Severity Index (PGSI) is a widely used nine item scale for measuring the severity of gambling problems in the general population. Of the four gambler types defined by the PGSI, non-problem, low-risk, moderate-risk and problem gamblers, only the latter category underwent any validity testing during the scale’s development, despite the fact that over 95% of gamblers fall into one of the remaining three categories. Using Canadian population data on over 25,000 gamblers, we conducted a comprehensive validity and reliability analysis of the four PGSI gambler types. The temporal stability of PGSI subtype over a 14-month interval was modest but adequate (intraclass correlation coefficient = 0.63). There was strong evidence for the validity of the non-problem and problem gambler categories however the low-risk and moderate-risk categories showed poor discriminant validity using the existing scoring rules. The validity of these categories was improved with a simple modification to the scoring system.     

The Four Es of Problem Gambling: A Psychological Measure of Risk

A focus group of Reno area Gamblers Anonymous members identified four psychological traits contributing to risk for problem gambling, including: Escape, Esteem, Excess and Excitement. A panel of four experts authored 240 Likert-type items to measure these traits. By design, none of the items explicitly referred to gambling activities. Study 1 narrowed the field of useful items by employing a quasi-experimental design which compared the answers of Reno area Gamblers Anonymous members (N = 39) to a control sample (N = 34). Study 2 submitted successful items, plus new items authored with the knowledge gained from Study 1, to validation in a random sample telephone survey across Queensland, Australia (N=2577). The final 40 item Four Es scale (4Es) was reliable (α=.90); predicted gambling problems as measured by the Canadian Problem Gambling Index of Severity (PGSI, Ferris & Wynne (2001). The Canadian Problem Gambling Index: Final Report: Canadian Centre on Substance Abuse); and distinguished problem gamblers from persons with alcohol abuse problems. The new scale can provide a basis for further study in harm minimization, treatment, and theory development.     

Pathways and transitions of gamblers over two years

Moderate-risk and problem gamblers represent 1.4% and 0.4% of the Québec population, respectively. Research on gamblers’ trajectories has been hampered by methodological shortcomings leading to heterogeneous results. The present research was conducted in the Province of Québec with a representative sample of adult gamblers and aims to explore how gamblers change over time according to the severity of their gambling problems. Using a 2-year follow-up prospective design (3 waves), 179 gamblers selected from a representative survey were divided into the 4 PGSI (Problem Gambling Severity Index) categories. Beyond the decreasing trend in PGSI scores detected within the overall sample using a linear growth model, our analyses revealed that moderate-risk gamblers are heterogeneous in their composition and evolution, comprising stable moderate-risk, recent cases and former problem gamblers. Over three waves, one-third of moderate-risk gamblers improved, one-third remained stable and one-third became problem gamblers. The subgroups transitioning in and out of the moderate-risk category differed in terms of reported changes in gambling behaviours and consequences. Problem gamblers remain vulnerable over time, being at risk of experiencing chronic problems. Results highlight the necessity of subgroup-specific prevention programmes and treatment services that address both the non-linearity of risky gambling and the chronicity of problem gambling.     

Venue Staff Knowledge of Their Patrons’ Gambling and Problem Gambling

In several jurisdictions around the world, venue staff are encouraged to make reasonable attempts to determine whether patrons may be experiencing problems associated with their gambling. Although a number of visible indicators and behaviours are recognised as being indicative of gambling problems, no research has investigated how effective staff might be in identifying problem gamblers in venues. The aim of this field test was to examine the level of patron familiarity amongst staff working in small to moderate-sized venues. Patrons (n = 303) were asked to complete a short survey including the Problem Gambling Severity Index and venue staff were asked to describe their knowledge of the same patrons independently. The results showed that patrons rated as more at risk by staff scored significantly higher on the PGSI, but that point-in-time staff ratings were not sufficiently accurate to allow effective identification of problem gamblers. The importance of using accumulated information over multiple sessions as well as technological monitoring of behaviour was emphasised by these results.     

A latent class analysis of young adult gamblers from the Manitoba Longitudinal Survey of Young Adults

Informed by the Pathways Model, the current study utilized latent class analysis (LCA) to empirically derive subtypes of gamblers based on measures of impulsivity, anxiety, depression, drug use and alcohol dependence. The sample in this study (N = 566) was comprised of young adult gamblers (18–22 years of age) who participated in the Manitoba Longitudinal Survey of Young Adults (MLSYA). Multinomial regression was utilized to examine how demographic variables and participant scores on the Problem Gambling Severity Index (PGSI) predicted membership in gambler classes from the LCA. Results of the LCA revealed three classes of gamblers: emotionally vulnerable, non-problem and impulsive. Multinomial regression showed that older age (i.e. 20–22 years of age), lower income (< $20,000 per year), living independently and PGSI scores were associated with increased odds of being classified as an impulsive gambler. Identifying as European, living independently and PGSI scores were associated with increased odds of being grouped in the emotionally vulnerable class of gambler. These results suggest that young adult gamblers are not a homogeneous group but instead are best understood as falling into different subtypes based on shared characteristics outlined in the Pathways Model.     

Prevalence and Correlates of Problem Gambling in a Representative Sample of Norwegian 17-Year-Olds

We report data collected in a representative sample of 17-year-old Norwegians to investigate prevalence rates of non-problem, risk, and problem gambling, as measured by the Problem Gambling Severity Index (PGSI). In addition, we explored the importance of demographic, personality, motivational, social, and health variables explaining variance in adolescent gambling. Prevalence rates of risk and problem gambling were low but similar to those found in previous studies outside of Norway using the PGSI in adolescent samples. With regard to the relative importance of the various covariates, we found that motivational variables (future gambling intentions, attitudes toward gambling, and gambling-related knowledge) distinguished best between those who did not gamble, non-problem gamblers, and risk and problem gamblers. Furthermore, social variables were important covariates of adolescent gambling; significant associations were found for family and friends’ approval of gambling, parental monitoring, father’s level of education, and having relatives or friends with a history of a gambling disorder. We discuss possible reasons for differences between the covariates with regard to their importance for explaining adolescent gambling and address implications for future research.     

Psychometric Evaluation of the Problem Gambling Severity Index-Chinese Version (PGSI-C)

The purpose of this study was to examine the psychometric properties of the Chinese 9-item Problem Gambling Severity Index (PGSI) derived from the 31-item Canadian Problem Gambling Index (CPGI) originally developed by Ferris and Wynne (2001). Exploratory factor analysis (EFA; n = 386; Group A data) and confirmatory factor analysis (CFA; n = 387; Group B data) on the Chinese student and community data (Mean age = 25.36 years) showed that a unifactorial model fitted the data with good reliability score (Cronbach’s alpha = 0.77). The concurrent validity of the PGSI-C was good in terms of the Chinese data matching the expected correlation between PGSI-C and other variables or scales such as SOGS, gambling frequency, gambling urge, gambling cognitions, depression, anxiety, and stress. The scale also reported good discriminant and predictive validity. In sum, the PGSI-C has good psychometric properties and can be used among Chinese communities to identify at-risk problem gamblers. Implications and suggestions for future research are discussed.     

National survey on lifestyles and gambling in Serbia: gambling participation and problem gambling in adult population

The aim was to examine the association of socio-demographic and lifestyle characteristics with gambling severity level. The study was a part of the National Survey on Lifestyles in Serbia: Substance Abuse and Gambling, in 2014. The sample consisted of 5385 individuals. Based on the Problem Gambling Severity Index (PGSI) score participants were divided into non-problem gambling, low-/moderate-risk gambling and problem gambling. Prevalence of problem gambling was 0.5%, which was associated with having poor self-perceived financial status, having moderate or high risk for psychological distress, playing sports betting, casino games and slot machines. Low/moderate gambling was associated with having poor self-perceived financial status, number of drinking days per year, using any illicit drugs in the last 30 days, playing sports betting, slot machines, and online betting. Programmes of early detection of problem gambling should be developed, and regulation of availability of slot machines and sports betting.     

Gender Differences in the Presentation of Observable Risk Indicators of Problem Gambling

In many countries where gambling is legalised, there has been a strong public policy focus on the need for strategies to reduce gambling related harm. These have often included policies requiring staff in gambling venues to identify and/or assist people who might be experiencing gambling-related harm. To facilitate this process, researchers have developed visible behavioural indicators that might be used to profile potentially problematic gambling. Few of these studies have, however, examined whether such indicators or ‘warning signs’ might differ between men and women. In this study, we describe the results of an analysis of data drawn from 1185 fortnightly gamblers that included 338 problem gamblers as classified by the Problem Gambling Severity Index. Indicators of problem gambling were similar between males and females with a few key exceptions. Indicators reflecting emotional distress were more commonly reported by females with gambling problems, whereas problem gambling males were more likely to display aggressive behaviour towards gambling devices and others in the venue. Amongst males, signs of emotional distress as well as attempts to conceal their presence in venues from others most strongly differentiated between problem and non-problem gamblers. Amongst females, signs of anger, a decline in grooming and those attempts to access credit were the most distinguishing indicators. These findings have implications for the refinement of identification policies and practices.     

GamTest: Psychometric Evaluation and the Role of Emotions in an Online Self-Test for Gambling Behavior

Recent increases in the number of online gambling sites have made gambling more available, which may contribute to an increase in gambling problems. At the same time, online gambling provides opportunities to introduce measures intended to prevent problem gambling. GamTest is an online test of gambling behavior that provides information that can be used to give players individualized feedback and recommendations for action. The aim of this study is to explore the dimensionality of GamTest and validate it against the Problem Gambling Severity Index (PGSI) and the gambler’s own perceived problems. A recent psychometric approach, exploratory structural equation modeling (ESEM) is used. Well-defined constructs are identified in a two-step procedure fitting a traditional exploratory factor analysis model as well as a so-called bifactor model. Using data collected at four Nordic gambling sites in the autumn of 2009 (n = 10,402), the GamTest ESEM analyses indicate high correspondence with the players’ own understanding of their problems and with the PGSI, a validated measure of problem gambling. We conclude that GamTest captures five dimensions of problematic gambling (i.e., overconsumption of money and time, and monetary, social and emotional negative consequences) with high reliability, and that the bifactor approach, composed of a general factor and specific residual factors, reproduces all these factors except one, the negative consequences emotional factor, which contributes to the dominant part of the general factor. The results underscore the importance of tailoring feedback and support to online gamblers with a particular focus on how to handle emotions in relation to their gambling behavior.     

Instant Ticket Purchasing by Ontario Baby Boomers: Increasing Risk for Problem Gamblers

Instant ticket purchase gambling (ITPG) is pervasive in Ontario and has features that mimic slot machine play. Previous researchers have reported that ITPG is one preferred activity for at-risk/problem gamblers. In the general Canadian population, rate of participation in ITPG is second only to lottery ticket gambling. Both are particularly favored by youth and seniors. The next cohort of seniors will be Canada’s baby boomers, one-third of whom live in Ontario. Secondary analysis of Statistics Canada data revealed that adults in this cohort who buy instant gambling tickets (N = 1781) are significantly different from the complete group of their age peers (N = 4266) in number of activities pursued and frequency of involvement. At-risk/problem gambling prevalence was 10.2% amongst Ontario baby boomers who participate in instant ticket gambling, significantly higher than the 6.7% found amongst the total group of baby boom gamblers. For those who reported experiencing one or more of the Canadian Problem Gambling Index indicators for problem gambling (N = 237), 73% were buying instant tickets. Future research should consider cohort effects and explore combinations of preferred gambling activities that may increase risk for problem gambling. Social policy recommendations include the use of all ITPG venues as key locations for promoting awareness of problem gambling treatment services. This work was funded by Ontario Problem Gambling Research Centre.     

Marital Status and Problem Gambling Among Australian Older Adults: The Mediating Role of Loneliness

Problem gambling rates in older adults have risen dramatically in recent years and require further investigation. Limited available research has suggested that social needs may motivate gambling and hence problem gambling in older adults. Un-partnered older adults may be at greater risk of problem gambling than those with a partner. The current study explored whether loneliness mediated the marital status–problem gambling relationship, and whether gender moderated the mediation model. It was hypothesised that the relationship between being un-partnered and higher levels of loneliness would be stronger for older men than older women. A community sample of Australian men (n = 92) and women (n = 91) gamblers aged from 60 to 90 years (M = 69.75, SD = 7.28) completed the UCLA Loneliness Scale and the Problem Gambling Severity Index. The results supported the moderated mediation model, with loneliness mediating the relationship between marital status and problem gambling for older men but not for older women. It appears that felt loneliness is an important predictor of problem gambling in older adults, and that meeting the social and emotional needs of un-partnered men is important.     

Changes in risky gambling prevalence among a New Zealand population cohort

Evidence suggests that problem gambling is an unstable state where gamblers move into and out of risk over time. This article looks at longitudinal changes in risky gambling and the factors associated with an increased risk (measured by the Problem Gambling Severity Index [PGSI]) in the current New Zealand context, which has experienced a doubling of the electronic gaming machine (EGM) market over the last two decades. Respondents from a nationally representative baseline sample (n = 2672) were recontacted two years later to assess changes in gambling behaviours. Among the 901 respondents reached at follow-up, average gambling risk increased over time, and the prevalence of those who had at least some level of gambling risk (i.e. low-risk or greater) more than doubled (from 4.7% to 12.4%). The majority (80.2%) of those who were at risk at follow-up had not been at risk at baseline. Multivariate linear regression analyses show that the predictors of low to moderate increased risk include Pacific ethnicity; high neighbourhood deprivation status; baseline frequent, continuous gambler type; baseline PGSI status; and playing EGMs. These findings highlight the need to develop theories of gambling addiction trajectories and to identify the earliest point along the trajectory where public health interventions should occur.     

Problem Gambling Family Impacts: Development of the Problem Gambling Family Impact Scale

Although family members of problem gamblers frequently present to treatment services, problem gambling family impacts are under-researched. The most commonly endorsed items on a new measure of gambling-related family impacts [Problem Gambling Family Impact Measure (PG-FIM: Problem Gambler version)] by 212 treatment-seeking problem gamblers included trust (62.5 %), anger (61.8 %), depression or sadness (58.7 %), anxiety (57.7 %), distress due to gambling-related absences (56.1 %), reduced quality time (52.4 %), and communication breakdowns (52.4 %). The PG-FIM (Problem Gambler version) was comprised of three factors: (1) financial impacts, (2) increased responsibility impacts, and (3) psychosocial impacts with good psychometric properties. Younger, more impulsive, non-electronic gaming machine (EGM) gamblers who had more severe gambling problems reported more financial impacts; non-EGM gamblers with poorer general health reported more increased responsibility impacts; and more impulsive non-EGM gamblers with more psychological distress and higher gambling severity reported more psychosocial impacts. The findings have implications for the development of interventions for the family members of problem gamblers.     

About the contributors

The paper reports secondary analysis of data from the 2010 British Gambling Prevalence Survey, a household survey of a representative sample of the population aged 16 years and over (N = 7756). Responses to questions about frequency of gambling and average monthly spend on each of 15 forms of gambling, and responses to two different problem gambling screens (DSM-IV and PGSI), were used to derive estimates, for each form of gambling separately, of the percentage of (1) all days play (two estimates), and (2) all spend (four estimates), attributable to problem gamblers. Although these estimates must be treated as approximations only, they demonstrate that problem gamblers make a far greater contribution to total gambling attendances and losses than problem gambling prevalence figures would suggest. There are certain forms of British gambling to which problem gamblers may be contributing as much as 20–30% of all days play and spend, and moderate risk gamblers a possible further 10–20%.     

Assessing the differential impacts of online,mixed, and offline gambling

The emergence of new behaviours associated with communication technologies has prompted questions about the evolution of gambling in the population. The development of online gambling gave rise to public health concerns back 20 years ago. Current knowledge indicates that online gamblers generally tend to show more psychosocial problems than offline gamblers. But those portraits tend to neglect the differences between pure and mixed online gamblers. The goal of this research is to assess if, and to what extent, online gambling generates more harmful impacts on the health and well-being in a sample of adult gamblers in Québec. The propensity score matching method was chosen to assess the variable prevalence of impacts on a sample of 810 regular gamblers recruited from an online panel. They were divided into sub-groups: pure online gamblers (n = 143), mixed online gamblers (n = 125), and a control group of offline gamblers (n = 542). The study has revealed that among online gamblers and their entourage, online gambling does, in fact, result in an extra burden of impacts in several aspects of their lives: work, relationships, mental/physical health, finances, quality of life, and problem gambling according to the Canadian Problem Gambling Index. Results also show that combined with offline gambling, online gambling significantly increases the burden of impacts in terms of both the number and intensity of impacts. This is the first empirical study using propensity score matching to asses the incremental impacts of online gambling by separating pure and mixed gamblers and to compare them to offline gamblers.     

The Desire to Gamble: The Influence of Outcomes on the Priming Effects of a Gambling Episode

The influence of gambling outcomes on the efficacy of a short gambling episode to prime motivation to continue gambling was determined in two experiments in which desire to gamble was evaluated while participants played a slot machine located in a virtual reality casino. In experiment 1, 38 high-risk [>3 Problem Gambling Severity Index (PGSI)] [Ferris and Wynne (The Canadian problem gambling index: final report, 2001)] and 36 non-problem gamblers (0 PGSI) either won or lost a modest amount. Among high-risk gamblers, winning resulted in a greater increase in the desire to continue gambling than did losing. In experiment 2, 39 high-risk, 33 low-risk (0 < PGSI < 3), and 31 non-problem gamblers experienced either a single large win or a series of small wins (equivalent monetary gain). Participants were permitted to continue playing as long as they wanted (all subsequent spins being losses) thus permitting evaluation of persistence (resistance to extinction). Throughout, desire to gamble was assessed using a single item measure. High-risk gamblers who experienced a large win reported significantly greater desire to gamble upon voluntary cessation than those who experienced a series of small wins. It seems that the priming effects of a short gambling episode are contingent on the pattern of outcomes experienced by the gambler. The data were related to motivational factors associated with gambling, gambling persistence, and chasing losses.