Solitary gambling mediates the risk pathway from anxiety sensitivity to excessive gambling: Evidence from a longitudinal ecological momentary assessment study

Skill-Based Electronic Gaming Machines: Features that Mimic Video Gaming, Features that could Contribute to Harm, and Their Potential Attraction to Different Groups

New gambling products have been developed over time as technology permits. For example, early mechanical slot machines were later replaced by electronic gaming machines (EGMs), which enabled a faster speed of play and more immersive experience. EGMs have in the decades since their invention become one of the main drivers of gambling expenditure worldwide and are one of the gambling products most strongly associated with harm. This literature review considers research relevant to a new subcategory of EGM, 'skill-based' EGMs, termed 'SGMs' here. SGMs can be highly varied in content, with some representing a minimal departure from EGMs, where the typical bonus round is replaced by some skill-based activity, such as a simple video game, which could increase the machine's appeal. Other SGMs feature more radical departures from conventional EGMs, such as multiplayer games using intellectual property from popular TV shows or video games. These skill-based elements could tap into common gambling fallacies such as the illusion of control, and therefore facilitate harmful engagement. SGMs could also be less harmful than current EGMs, if skill-based elements break the dissociative states associated with EGM gambling. The intellectual property used in SGMs may increase their appeal among people who generally do not gamble, and the skill-based elements could increase their interest among gamblers who predominately prefer skill-based gambling formats such as sports betting. The novelty and varied content of SGMs present many open questions, which research should aim to address in future.

An exploratory study of anxiety-motivated gambling in adolescents: Associations with minority status and gambling, health and functioning measures

Gambling and anxiety are major public health concerns in adolescents and have been linked to emotion dysregulation and mood-modulating behaviors. While previous studies have shown links between positively reinforcing excitement-motivated gambling, health and functioning measures, and gambling perceptions and behavioral correlates in adolescents, few studies have examined such relationships relative to negatively reinforcing anxiety-motivated gambling (AMG). This study systematically examined relationships between adolescents reporting gambling to relieve anxiety (compared to those who gambled but did not report AMG) and measures of health/functioning and gambling-related measures. Participants included 1,856 Connecticut high-school students. Chi-square and logistic regression models were conducted. AMG was reported by 6.41% of the sample and was associated with identifying with a minority group (Black, Asian-American, Hispanic), at-risk/problem gambling, more permissive attitudes towards gambling, and higher odds of heavy alcohol, tobacco and other drug use, and violence-related measures. Adolescents with AMG were more likely to report non-strategic gambling, and gambling to escape/relieve dysphoria and due to feeling pressure. Additional between-group differences were found for gambling types, locations, motivations, and partners. Together, AMG may represent a mood-modulating behavior indicative of multiple problematic concerns, suggesting that emotional dysregulation may be an important factor in understanding the relationship between anxiety, problem gambling, and risky behaviors in youth. Additionally, the negative reinforcing motivations to gamble to relieve anxiety may be relevant particularly to adolescents from underrepresented minority racial/ethnic groups, and the specific factors underlying this relationship warrant further investigation.

Exploring the Predictive Value of Gambling Motives, Cognitive Distortions, and Materialism on Problem Gambling Severity in Adolescents and Young Adults

Gambling motives and cognitive distortions are thought to be associated because both coping and financial motives to gamble appear to be predictors of gambling related cognitive distortions. Therefore, there is an argument to be made that gambling motives, cognitive distortions, and materialism share common attributes and might be related to problem gambling severity. The present paper aims to examine the relationship between these three variables, both in a clinical and community setting, to see if they can predict gambling severity. A sample of 250 participants from the general population and 31 participants from the clinical population was recruited. The results showed that the clinical sample scored higher on gambling severity, cognitive distortions, materialism, and gambling motives. It also showed that low scores in enhancement motives and higher scores in social motives and gambling related cognitions predicted gambling severity in older gamblers, whereas for younger patients, gambling severity was best predicted by higher scores in materialism and coping motives, and lower scores for enhancement and social motives. In the community sample, gambling severity correlated with gambling related cognitive distortions and with gambling motives (except for social and coping motives within the women subsample). These results testify to the importance of materialism, cognitive distortions, and gambling motives as risk factors for problem gambling both in community and clinical samples.

Risky Gambling Behaviors: Associations with Mental Health and a History of Adverse Childhood Experiences (ACEs)

Problem gambling and adverse childhood experiences (ACEs) are highly co-morbid and lead to numerous adverse health outcomes. Research demonstrates that greater levels of well-being protect individuals from experiencing ACE-related harms after a history of childhood adversity; however, this relationship has not been examined in the gambling literature. We hypothesized that individuals who experienced ACEs would engage in more problem gambling behaviors. We also hypothesized that individuals who experienced ACEs and reported flourishing mental health would have lower rates of problem gambling than individuals who experienced ACEs but did not report flourishing mental health. We conducted a secondary data analysis of the adult sample in the Well-Being and Experiences (WE) Study. Examining a parent population, parents and caregivers (N = 1000; M_age = 45.2 years; 86.5% female) of adolescents were interviewed on a variety of measures, including their history of ACEs, their gambling behaviors within the past year, and their mental health and well-being. We used multinomial logistic regression analysis to examine the relationship between 15 ACEs and gambling type (i.e., non-gambler, non-problem gambler, at-risk/problem gambler). We used interaction terms between each ACE and mental health to examine the moderating role of flourishing mental health and well-being. ACEs were associated with at-risk/problem gambling supporting hypothesis 1. Contrary to hypothesis 2, overall, flourishing mental health did not moderate the relationship between ACEs and gambling severity except for one ACE. In this study, we were able to gain a better understanding of how different ACEs each contribute to varying levels of gambling severity.

Concurrent Disorders and Decision-Making in Electronic Gaming Machine Gamblers

This study aimed to investigate the self-reported measures of concurrent disorders (stress, social anxiety, anxiety, depression and alcohol use) among electronic gaming machine (EGM) gamblers with varying levels of gambling severity and to examine its relationship to decision-making. This cross-sectional study in New Zealand involved an online survey that utilised validated questionnaires to assess self-reported measures of concurrent disorders and the Iowa gambling task (IGT) to analyse decision-making. The study comprised of active EGM gamblers (n = 153) who were divided into two groups: non-problem gambling (NPG, n = 71) and problem gambling (PG, n = 82) based on the cut-off point of the South Oaks Gambling Screen (SOGS). Multiple logistic regression models were performed to analyse co-occurring disorders separately and simultaneously, and a log-linear model was developed to define the associations between significant variables. The first model showed a strong correlation between gambling severity and measures for depression (p < 0.01), anxiety (p < 0.05), stress (p < 0.05) and alcohol use (p < 0.01), however only depression (p < 0.05) and alcohol use (p < 0.01) remained significant in the second model. Further, no association between social anxiety scores and problem gambling was found in this sample of EGM gamblers in both models. On the IGT, EGM gamblers in the PG group performed significantly worse. Further, the presence of poor decision-making was more pronounced with higher depression scores (p < 0.01) across both NPG and PG groups and higher alcohol use scores (p < 0.05) scores in the PG group. The presence of high levels of co-occurring disorders and its link to poor decision-making are important considerations in the treatment paradigm of EGM problem gamblers.

Ecological Momentary Assessment of the Relationship between Positive Outcome Expectancies and Gambling Behaviour

Relapse prevention models suggest that positive outcome expectancies can constitute situational determinants of relapse episodes that interact with other factors to determine the likelihood of relapse. The primary aims were to examine reciprocal relationships between situational positive gambling outcome expectancies and gambling behaviour and moderators of these relationships. An online survey and a 28 day Ecological Momentary Assessment (EMA) were administered to 109 past-month gamblers (84% with gambling problems). EMA measures included outcome expectancies (enjoyment/arousal, self-enhancement, money), self-efficacy, craving, negative emotional state, interpersonal conflict, social pressure, positive emotional state, financial pressures, and gambling behaviour (episodes, expenditure). Pre-EMA measures included problem gambling severity, motives, psychological distress, coping strategies, and outcome expectancies. No reciprocal relationships between EMA outcome expectancies and gambling behaviour (episodes, expenditure) were identified. Moderations predicting gambling episodes revealed: (1) cravings and problem gambling exacerbated effects of enjoyment/arousal expectancies; (2) positive emotional state and positive reframing coping exacerbated effects of self-enhancement expectancies; and (3) instrumental social support buffered effects of money expectancies. Positive outcome expectancies therefore constitute situational determinants of gambling behaviour, but only when they interact with other factors. All pre-EMA expectancies predicted problem gambling severity (OR = 1.61–3.25). Real-time interventions addressing gambling outcome expectancies tailored to vulnerable gamblers are required.

Exploring the associations between gambling cravings, self-efficacy, and gambling episodes: An Ecological Momentary Assessment study

AIMS

To explore reciprocal relationships between real-time gambling cravings and self-efficacy with gambling behaviour, and the moderating role of gambling, mental health, and addiction-related variables.

DESIGN

Secondary analysis of a 4-week Ecological Momentary Assessment (EMA) study conducted in Tasmania, Australia.

SETTING

Data were collected via telephone interviews (pre-EMA) and smartphones (EMA).

PARTICIPANTS

Ninety-seven regular gamblers (mean age: 45.90 years, 57.73% male) reported 5,113 observations.

MEASUREMENTS

EMA measures included gambling cravings (occurrence, frequency, intensity), self-efficacy (craving-related, gambling-related), and gambling behaviour (episodes, expenditure, duration). Pre-EMA measures included gambling (severity; harms; motives; high-risk situations), mental health (depressive symptoms; anxiety symptoms) and addiction-related (alcohol use; smoking; substance use) moderator variables.

FINDINGS

Mixed-effects binary logistic regression analyses revealed that gambling cravings predicted gambling episodes (OR = 2.23, 95% CI:1.61, 3.08), gambling self-efficacy and gambling duration were reciprocally related (OR = 4.65, 95% CI:1.08, 20.04; OR = 0.21, 95% CI:0.05, 0.93), and craving self-efficacy predicted gambling expenditure (OR = 0.30, 95% CI:0.10, 0.86). Moderation analyses revealed that: (1) craving self-efficacy exacerbated craving frequency with gambling expenditure; (2) coping motives exacerbated gambling self-efficacy with gambling expenditure; (3) high-risk positive reinforcement situations exacerbated craving intensity and gambling self-efficacy with gambling episodes, and gambling episode with craving occurrence; and (4) substance use exacerbated gambling self-efficacy with duration, and buffered gambling expenditure with craving intensity.

CONCLUSIONS

These findings have implications for the development of real-time gambling interventions that aim to reduce gambling cravings and increase self-efficacy, which could be targeted to vulnerable individuals, including people who frequently gambled for coping purposes or positive reinforcement, and people with comorbid substance use.

Online Gambling's Associations With Gambling Disorder and Related Problems in a Representative Sample of Young Swiss Men

Background and Aims: Internet gambling has recently grown in popularity, but relatively little is known about how online and the combination of online and offline (mixed) gambling are associated with gambling disorder (GD) and related problems. The present research examined in a cohort study sample of young Swiss men how their gambling activities and gambling-related problems differed across the spectrum from offline to online gambling. Sample: A general-population based sample from the Cohort Study on Substance Use Risk Factors (C-SURF), consisting of 5,352 young Swiss men (mean age 28.26 years old). Measures: The spectrum from exclusively offline to almost exclusively online (>90% of gambling money spent online) gambling was measured using one question about the proportion of gambling money spent online. Total money gambled and time spent on gambling were also assessed. GD severity (range 0-9) was measured using items reflecting the nine DSM-5 GD criteria. The number of gambling-related problems (e.g., financial difficulties, range 0-10), other addictive disorders and mental health problems were also inquired about. Methods: We estimated a generalised linear model using a count model (negative binomial link function) for GD severity and gambling-related problems associated with the amounts and proportions of money gambled online and offline. Results: The number of GD criteria were associated with money gambled online (IRR [95%CI] = 2.81 [2.43, 3.24]) and offline (IRR = 2.68 [2.40, 3.00]). This was also found for the number of gambling-related problems (IRR = 2.43 [2.13, 2.79] and IRR = 2.89 [2.59, 3.23]). Compared with exclusively-offline gamblers, mixed gamblers (26-90% of money gambled online) showed the highest levels of GD symptoms and gambling-related problems, followed by the almost-exclusively-online gamblers (≥91% money gambled online) and, overall, these associations were still significant after adjustment for overall involvement in gambling (time spent and money gambled). Levels of other addictive disorders and mental health problems were higher among mixed gamblers than among offline-only gamblers, but levels among almost-exclusively-online gamblers were not. Conclusions: Symptoms of gambling disorder and gambling related problems are highest among gamblers engaging in both offline and online gambling. Prevention efforts need to target the combination of offline and online gambling.

Gambling disorder

Gambling disorder is characterized by a persistent, recurrent pattern of gambling that is associated with substantial distress or impairment. The prevalence of gambling disorder has been estimated at 0.5% of the adult population in the United States, with comparable or slightly higher estimates in other countries. The aetiology of gambling disorder is complex, with implicated genetic and environmental factors. Neurobiological studies have implicated cortico-striato-limbic structures and circuits in the pathophysiology of this disorder. Individuals with gambling disorder often go unrecognized and untreated, including within clinical settings. Gambling disorder frequently co-occurs with other conditions, particularly other psychiatric disorders. Behavioural interventions, particularly cognitive-behavioural therapy but also motivational interviewing and Gamblers Anonymous, are supported in the treatment of gambling disorder. No pharmacological therapy has a formal indication for the treatment of gambling disorder, although placebo-controlled trials suggest that some medications, such as opioid-receptor antagonists, may be helpful. Given the associations with poor quality of life and suicide, improved identification, prevention, policy and treatment efforts are needed to help people with gambling disorder.