Gambling Risk Amongst Adolescents: Evidence from a School-Based Survey in the Malaysian Setting

There has been emerging evidence regarding gambling experiences of young people in Asia recently, but to date, none in Malaysia. This study aimed to estimate the prevalence of gambling, and to identify individual, familial and high-risk behaviours factors among Malaysian adolescents. A cross-sectional study was conducted over 4 months at randomly selected secondary schools in Seremban in Negeri Sembilan state. A total of 2265 self-administered, anonymous questionnaires were distributed to the students. The students completed the questionnaire consisting of sociodemographic and family background, gambling behaviours, high risk behaviours and mental health questions. Approximately 29.6 % (95 % CI 27.7–31.5) of respondents reported participating in some forms of gambling activities in the previous 12 months. Among these, 3.6 % (95 % CI 2.8–4.3) of them were problem gamblers. Parental gambling was the strongest correlate with adolescent gambling behaviour. Signification association was found between gambling behaviour and gender (being males), but interestingly, not with ethnicity. Adolescents who reported engaging in high risk behaviours (such as smoking, alcohol consumption, involvement in physical fights, illegal vehicular racing) were also more likely to gamble. Gambling is not an uncommon phenomenon amongst Malaysian adolescents. Public awareness campaign, health education to targeted groups, revision of existing laws, and screening at primary care level should be implemented to address the issue of gambling among adolescents. This study also highlights the need to examine the national scope of the problem in Malaysia.     

Psychosocial Factors Related to Gambling Abstinence and Relapse in Members of Gamblers Anonymous

Problem gamblers account for almost one-third of the industry’s total revenue with the adverse effects of problem gambling including significant financial loss, legal and occupational difficulties, family problems, psychological distress and suicide. As such, it is important to understand the influential factors in gambling abstinence and relapse, which will assist in the development of relapse prevention methods in therapeutic treatment regimes. This paper reported the role of a set of seven predictors in distinguishing between abstinent and relapsed gamblers among 75 Gambling Anonymous (GA) members (55 males; 20 females; Mean age 45 years) in Southeast Queensland. The measures taken were meeting Attendance and Participation, Social Support, God Belief, Belief in a Higher Power, Working the 12-steps of Recovery, Gambling Urges and Erroneous Cognitions. Discriminant analysis revealed that the variables separating the two groups were significant, suggesting that GA members achieving abstinence could be distinguished from those who relapsed, with Attendance and Participation, and Social Support contributing the greatest influence on member’s ability to abstain from gambling. The findings suggested that GA member’s involvement in meetings, and support from family and friends had significant impact on their gambling abstinence. In contrast, increased gambling urges and erroneous cognitions increased the chance of relapse.     

Clustering Finnish Gambler Profiles Based on the Money and Time Consumed in Gambling Activities

Gambling involves consumption of gamblers’ money and time. Gamblers are a heterogeneous group, and in addition to grouping gamblers based on personality factors, it is also important to find different gambler profiles with respect to their gambling behavior. Using the nationally representative survey ‘Finnish Gambling 2011’ (N = 4484), this article studies the subtypes of Finnish gamblers based on the frequency of gambling and the amounts of money and time used in different gambling forms. Cluster analysis reveals six profiles of gamblers, from infrequent gamblers to omnivorous gamblers. In the further analysis of the clusters, it was found that the highest problem gambling prevalence was in the groups of sport betting + electronic gaming machine gamblers and omnivorous gamblers, which were also both dominated by men. Certain gambling consumption patterns and risk factors for problem gambling are related to both socio-demographic backgrounds of the gamblers as well as the structural and situational characteristics of the games. The results have implications for the prevention of problem gambling, as some consumption patterns may be connected with the probability of developing gambling problems.     

Effects of Affective and Anxiety Disorders on Outcome in Problem Gamblers Attending Routine Cognitive–Behavioural Treatment in South Australia

This study evaluated the influence of 12-month affective and anxiety disorders on treatment outcomes for adult problem gamblers in routine cognitive–behavioural therapy. A cohort study at a state-wide gambling therapy service in South Australia. Primary outcome measure was rated by participants using victorian gambling screen (VGS) ‘harm to self’ sub-scale with validated cut score 21+ (score range 0–60) indicative of problem gambling behaviour. Secondary outcome measure was Work and Social Adjustment Scale (WSAS). Independent variable was severity of affective and anxiety disorders based on Kessler 10 scale. We used propensity score adjusted random-effects models to estimate treatment outcomes for sub-populations of individuals from baseline to 12 month follow-up. Between July, 2010 and December, 2012, 380 participants were eligible for inclusion in the final analysis. Mean age was 44.1 (SD = 13.6) years and 211 (56 %) were males. At baseline, 353 (92.9 %) were diagnosed with a gambling disorder using VGS. For exposure, 175 (46 %) had a very high probability of a 12-month affective or anxiety disorder, 103 (27 %) in the high range and 102 (27 %) in the low to moderate range. For the main analysis, individuals experienced similar clinically significant reductions (improvement) in gambling related outcomes across time (p < 0.001). Individuals with co-varying patterns of problem gambling and 12 month affective and anxiety disorders who present to a gambling help service for treatment in metropolitan South Australia gain similar significant reductions in gambling behaviours from routine cognitive–behavioural therapy in the mid-term.     

The Gambling Cognitions Inventory: scale development and psychometric validation with problem and pathological gamblers

Cognitive distortions are typically identified as an important etiological factor in pathological gambling. The Gambling Cognitions Inventory (GCI) developed by Holub (2003) is examined in this study using a sample of 710 pathological gamblers collected in four Canadian studies. Confirmatory factor analysis did not support the initial 40-item scale and suggested a 33-item scale. The sample was split into two groups to conduct exploratory and confirmatory factor analyses. Scree plots and parallel analysis suggested a two-factor scale. The scale developed by exploratory factor analysis on the first sample was supported by confirmatory factor analysis on the second sample (CFI>0.95; RMSEA < 0.05). The two factors indicated a Skill and Attitude subscale and a Luck and Chance subscale. Analysis conducted within each of the four studies showed good internal reliability for the scale (range of α = 0.91–0.95) and subscales (α = 0.77–0.92). The scale and subscales correlated with gambling severity measures as well as other measures of gambling cognitions including the Gambling Attitudes and Beliefs Scale and the Gambling Beliefs Questionnaire. The results of the study indicate that the GCI is a psychometrically strong scale and may be beneficial in directing cognitive therapy to the most problematic cognitions.     

Problem Gambling Among Urban and Rural Gamblers in Limpopo Province,South Africa: Associations with Hazardous and Harmful Alcohol Use and Psychological Distress

Little is known about the mental health correlates of problem gambling in low- and-middle-income countries such as South Africa and whether these correlates vary by urbanicity. To address this gap, we examined mental health factors associated with problem gambling among gamblers in Limpopo Province, South Africa disaggregated by rural, peri-urban and urban location. A survey of gambling behaviour and mental health was conducted among 900 gamblers. Overall, 28.3 % were at high risk and 38.1 % were at moderate risk for problem gambling. For the entire sample, hazardous/harmful alcohol use was associated with almost twofold increased chance of being at moderate risk (AOR 1.83; 95 % CI 1.08, 3.11) and almost sevenfold greater odds (AOR 6.93; 95 % CI 4.03–11.93) of being at high risk for problem gambling. Psychological distress was associated with being at high risk for problem gambling only (AOR 1.18; 95 % CI 1.14–1.22). After stratifying by urbanicity, hazardous/harmful alcohol use and psychological distress remained associated with high risk gambling across all locations. We found little knowledge of a free gambling helpline and other gambling services—particularly in less urbanised environments [χ² (2), 900 = 40.4; p < 0.001]. These findings highlight the need to increase awareness of free helpline services among gamblers and to ensure gambling services include screening and treatment for common mental disorders.     

Effectiveness of a Self Help Cognitive Behavioural Treatment Program for Problem Gamblers: A Randomised Controlled Trial

The study aimed to strengthen the scarce literature on self-help treatments for Problem Gambling (PG) by comparing the effectiveness of a Self-Help Cognitive Behavioral Treatment (SHCBT) program (n = 23) with a 6-week Waitlist condition (n = 32) in problem gamblers. Participants were community volunteers with gambling problems and were randomly allocated to the Waitlist and treatment conditions. Results showed significant improvements at post-treatment in gambling behaviors including frequency of gambling, average amount gambled per day and PG symptoms as well as a number of gambling correlates including psychological states (e.g., depression, anxiety and stress), gambling cognitions, gambling urges, gambling related self-efficacy, satisfaction with life, and quality of life among those who completed the SHCBT program, when compared with the waitlist condition. The effect size (partial η ²) ranged from .25 to .57 for all assessed outcomes that showed significant improvement from pre- to post-treatment. It was concluded that a self-help CBT program can be beneficial for treating community problem gamblers.     

Association of Problem Gambling with Type of Gambling Among Italian General Population

The origin of gambling disorders is uncertain; however, research has shown a tendency to focus on specific types of games as a potential important risk factor. The principal aim of this study is to examine the relationships between types of gambling practices and gambling disorder. The data were extracted from IPSAD-Italia^® 2010–2011 (Italian Population Survey on Alcohol and other Drugs), a survey among the Italian general population which collects socio-cultural information, information about the use of drugs, legal substances and gambling habits. In order to identify the “problem gambler” we used the Problem Gambling Severity Index. Three groups are considered in this analysis: no-risk gamblers, low-risk gamblers, moderate-risk/problem gamblers. Type of gambling practice was considered among two types of gambler: one-game players and multi-games players. 1.9 % of multi-game players were considered problem gamblers, only 0.6 % of one-game players were problem gamblers (p < 0.001). The percentage of players who were low and moderate-risk gamblers was approximately double among multi-game players, with 14.4 % low-risk and 5.8 % moderate-risk; compared with 7.7 % low-risk and 2.5 % moderate risk among one-game players. Results of ordinal logistic regression analysis confirmed that higher level of gambling severity was associated with multi-game players (OR = 2.23, p < 0.0001). Video-poker/slot-machines show the highest association with gambling severity among both one-game players and multi-game players, with scores of OR equal to 4.3 and 4.5 respectively. These findings suggest a popular perception of risk associated with this type of gambling for the development of gambling problems.     

Internet Gamblers Differ on Social Variables: A Latent Class Analysis

Online gambling has gained popularity in the last decade, leading to an important shift in how consumers engage in gambling and in the factors related to problem gambling and prevention. Indebtedness and loneliness have previously been associated with problem gambling. The current study aimed to characterize online gamblers in relation to indebtedness, loneliness, and several in-game social behaviors. The data set was obtained from 584 Internet gamblers recruited online through gambling websites and forums. Of these gamblers, 372 participants completed all study assessments and were included in the analyses. Questionnaires included those on sociodemographics and social variables (indebtedness, loneliness, in-game social behaviors), as well as the Gambling Motives Questionnaire, Gambling Related Cognitions Scale, Internet Addiction Test, Problem Gambling Severity Index, Short Depression–Happiness Scale, and UPPS-P Impulsive Behavior Scale. Social variables were explored with a latent class model. The clusters obtained were compared for psychological measures and three clusters were found: lonely indebted gamblers (cluster 1: 6.5%), not lonely not indebted gamblers (cluster 2: 75.4%), and not lonely indebted gamblers (cluster 3: 18%). Participants in clusters 1 and 3 (particularly in cluster 1) were at higher risk of problem gambling than were those in cluster 2. The three groups differed on most assessed variables, including the Problem Gambling Severity Index, the Short Depression–Happiness Scale, and the UPPS-P subscales (except the sensation seeking subscore). Results highlight significant between-group differences, suggesting that Internet gamblers are not a homogeneous group. Specific intervention strategies could be implemented for groups at risk.     

Older Adults’ Gambling Motivation and Problem Gambling: A Comparative Study

Gambling participation rates among older adults (65+ years) have been increasing in recent years. Very few studies have compared older and younger gamblers on gambling motivation and problem gambling. This study compared 41 male and 63 female older gamblers (66-87 years; median 73) to 20 male and 85 female younger gamblers (17-34 years; median 20) in New Zealand on gambling involvement, gambling motives and number of gambling related problems in the previous 12 months. The questionnaire included the Gambling Motivation Scale (GMS) and the Revised South Oaks Gambling Screen (SOGS-R) of current problem gambling. There were between-group age differences but no significant gender or gender by age interaction effects. While older adults had significantly lower scores on all the measures, except they gambled more frequently, for both groups frequency of gambling, number of activities, largest amount spent in a single session and all motives were correlated with SOGS-R scores. Preferences for electronic gaming machines and bingo were related to SOGS-R scores for both age groups. Hierarchical regression analysis showed that after statistically controlling for age, gambling involvement and other motives, tension release uniquely predicted SOGS-R scores. For both age groups, increasing severity of problem gambling is more likely to be associated with releasing tension than with winning money or seeking sensation.     

Gambling Motives: Do They Explain Cognitive Distortions in Male Poker Gamblers?

Gambling behavior is partly the result of varied motivations leading individuals to participate in gambling activities. Specific motivational profiles are found in gamblers, and gambling motives are closely linked to the development of cognitive distortions. This cross-sectional study aimed to predict cognitive distortions from gambling motives in poker players. The population was recruited in online gambling forums. Participants reported gambling at least once a week. Data included sociodemographic characteristics, the South Oaks Gambling Screen, the Gambling Motives Questionnaire-Financial and the Gambling-Related Cognition Scale. This study was conducted on 259 male poker gamblers (aged 18–69 years, 14.3% probable pathological gamblers). Univariate analyses showed that cognitive distortions were independently predicted by overall gambling motives (34.8%) and problem gambling (22.4%) (p < .05). The multivariate model, including these two variables, explained 39.7% of cognitive distortions (p < .05). The results associated with the literature data highlight that cognitive distortions are a good discriminating factor of gambling problems, showing a close inter-relationship between gambling motives, cognitive distortions and the severity of gambling. These data are consistent with the following theoretical process model: gambling motives lead individuals to practice and repeat the gambling experience, which may lead them to develop cognitive distortions, which in turn favor problem gambling. This study opens up new research perspectives to understand better the mechanisms underlying gambling practice and has clinical implications in terms of prevention and treatment. For example, a coupled motivational and cognitive intervention focused on gambling motives/cognitive distortions could be beneficial for individuals with gambling problems.     

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.     

The Victorian Gambling Screen: Reliability and Validation in a Clinical Population

There is a need to establish reliability and the various forms of validity in all measures in order to feel confident in the use of such tools across a wide diversity of settings. The aim of this study is to describe the reliability and validity of the Victorian Gambling Screen (VGS) and in particular one of the sub-scales (Harm to Self—HS) in a specialist problem gambling treatment service in Adelaide, Australia. Sixty-seven consecutive gamblers were assessed using a previously validated clinical interview and the VGS (Ben-Tovim et al., The Victorian Gambling Screen: project report. Victorian Research Panel, Melbourne, 2001). The internal consistency of the combined VGS scales had a Cronbach’s alpha of .85 with the HS scale .89. There was satisfactory evidence of convergent validity which included moderate correlations with another measure of gambling—the South Oaks Gambling Screen. There were also moderate correlations with other measures of psychopathology. Finally, how the VGS may best be used in clinical settings is discussed.     

The Social and Psychological Impacts of Gambling in the Cree Communities of Northern Québec

A detailed survey of gambling, addiction and mental health was conducted with randomly selected respondents (n = 506) from four Cree communities of Northern Quebec. The study examined the current patterns of gambling in relation to demographic, social, and psychological factors. Instruments included the Canadian Problem Gambling Index, Addiction Severity Index, Beck Depression Inventory and the computerized Diagnostic Interview Schedule for psychiatric diagnoses. Overall, 69.2 % of the total sample participated in any gambling/gaming activities over the past year; 20.6 % of this group were classified as moderate/high risk gamblers, and 3.2 % were classified in the highest “problem gambling” category. Considering the entire sample, the overall prevalence of problem gambling was 2.2 %. Women were significantly more likely to play bingo (56.6 %) compared to men (35.1 %) and they played more frequently; 20.8 % of women versus 3.8 % of men played once/week or more often. Compared to the no/low risk gamblers, a greater proportion of moderate/high risk gamblers were cigarette smokers (44.8 vs. 56.3 %), they were more likely to meet DSM-IV diagnostic criteria for alcohol dependence (21.2 vs. 46.2 %), and they were more likely to report moderate to severe depressive symptoms in the past month. Risk factors for problem gambling included traumatic life events (physical and emotional abuse), anxiety and depression, as well as drug/alcohol abuse. The high rates of comorbidity between problem gambling, tobacco dependence, substance abuse and other psychological problems demonstrate that gambling among some Cree adults is part of a pattern of high-risk factors for negative long-term health consequences. The results also have implications for treatment, suggesting that interventions for gambling disorders should not focus on gambling alone but rather the constellation of high-risk behaviours that pose a risk to recovery and well-being.     

Factors Associated with Gamblers: A Population-based Cross-sectional Study of South Australian Adults

Objective To determine, using a random telephone survey, the prevalence of various gambling activities among South Australian adults, the prevalence of adult problem gamblers using the South Oaks Gambling Screen (SOGS) instrument, and to examine the problem gamblers by demographic and health-related risk factors.Method A random representative sample of South Australian adults selected from the Electronic White Pages. Overall, 6045 interviews were conducted (73.1% response rate) using Computer Assisted Telephone Interviewing (CATI) technology.Results Overall, 75.6% (95% CI: 74.5–76.7) of respondents had participated in at least one gambling activity during the last 12 months and 2.0% (95% CI: 1.7–2.4) were identified to be problem gamblers. A wide range of factors was associated with problem gambling at a univariate level, when compared to frequent gamblers. The logistic regression analysis highlighted that problem gamblers were more likely to speak a language other than English, be employed part time and a smoker when compared to frequent gamblers. Problem gamblers were also more likely to have a mental health condition (according to the Kessler 10), have had suicidal thoughts and know of services for gambling problems.Conclusion There is a wide range of characteristics associated with problem gambling in South Australia. All of these factors need addressing during policy development to assist problem gamblers.     

Prevalence of Problem Gambling Among Adolescents: A Comparison Across Modes of Access,Gambling Activities,and Levels of Severity

The high availability and accessibility of online gambling have recently caused public concern regarding the potential increase of gambling-related problems among young people. Nonetheless, few studies among adults and none among adolescents have explored specific characteristics of gamblers as a function of gambling venues to date. This study sought to analyze the prevalence of gambling among a sample of adolescents in the last year, as well as sociodemographic and gambling-related characteristics as possible predictors of at-risk and problem gambling. The sample comprised 1313 adolescents aged 14–18 years. Participants were asked to respond to several questions regarding their gambling behavior. Chi square and ANOVA tests were performed in order to explore differences between groups, and a set of multinomial regressions established significant severity predictors. The prevalence of at-risk and problem gambling was 4 and 1.2 %, respectively. Regression analyses showed that having a relative with gambling problems predicted at-risk gambling. Both living with only one parent or not living with parents at all, and the prevalence of Electronic Gambling Machines in the last year were associated with problem gambling. Mixed-mode gambling was a predictor of both at-risk and problem gambling. Our findings extend previous research on gambling among adolescents by exploring gambling behavior according to different modes of access. Although the prevalence of exclusive online gambling among the total sample was low, these results support the need to consider specific subgroups of gamblers and their concrete related features when conducting both indicated prevention and treatment protocols for adolescents.     

Defining a threshold of harm from gambling for population health surveillance research

The measurement of harm in the context of non-problem gambling has received little attention from researchers in the field. Using the combined data from six provincial gambling surveys conducted in Canada between 2001 and 2005 (N = 12,285), we compared how different thresholds of defining gambling-related harm impacts prevalence, the relationship with indicators of gambling intensity and the characteristics of non-pathological gamblers who report experiencing below threshold symptoms of problem gambling. Survey items defining harm were drawn from the Problem Gambling Severity Index (PGSI) of the Canadian Problem Gambling Index. Three definitions of harm – reporting one or more problem gambling symptoms, reporting two or more problem gambling symptoms and having a PGSI score ≥ 3 – demonstrated a strong relationship with indicators of gambling intensity, and reliably differentiated low-threshold and zero symptom problem gamblers in terms of gambling characteristics and other risk factors.     

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.     

Measuring Self-efficacy in Gambling: The Gambling Refusal Self-Efficacy Questionnaire

This paper reports on the development and psychometric properties of a Gambling Refusal Self-Efficacy Questionnaire (GRSEQ). Two hundred and ninety-seven gamblers from both normal and clinical populations completed an initial set of 31-items of which 26 were selected for inclusion in the final version of the GRSEQ. A series of factor analyses showed four clear factors accounting for 84% of the variance. These factors can be summarised as situations and thoughts associated with gambling, the influence of drugs on gambling, positive emotions associated with gambling and negative emotions associated with gambling. The GRSEQ total score and factors scores showed high internal consistency (Cronbach’s alpha ranging from 0.92 to 0.98). Participants experiencing problems with gambling scored significantly lower on the GRSEQ, and discriminant analyses showed that the scale is able to correctly classify the non-problem (i.e., community and student samples) and problem gamblers (i.e., clinical sample). Furthermore, the GRSEQ showed significant negative relationships with other gambling-related variables (gambling urge and gambling-related cognitions) and negative mood states (depression, anxiety and stress) and was shown to be sensitive to change in treatment of pathological gambling. The results suggest that the GRSEQ is a useful measure of gambling refusal self-efficacy that is suitable for assessment of gamblers from both normal and clinical populations.