Adolescent betting on esports using cash and skins: Links with gaming, monetary gambling, and problematic gambling

Scrutinizing the Gateway Relationship Between Gaming and Gambling Disorder: Scoping Review With a Focus on the Southeast Asian Region

Background

The gaming and gambling overlap has intensified with new evidence emerging. However, the relationship between gaming and gambling in the digital space is still inconclusive, especially in resource-limited Asian countries.

Objective

This study aims to review available evidence on the possible interaction and focuses specifically on the gateway interaction between gambling and gaming. Additionally, this review delves into the state of evidence from the Southeast Asian region, providing an in-depth analysis of this underexplored area.

Methods

We performed a scoping review by sifting through the publications in five databases. We focused on the gateway interaction and provided a possible pathway model, while two other convergence relationships were provided for comparison.

Results

The scoping review identified a total of 289 publications, with the majority being empirical (n=181), although only 12 studies used longitudinal designs. A significant proportion of the publications (n=152) concentrated on the correlation or comorbidity between gaming and gambling. Most of the evidence has originated from Global North countries, with very limited research emerging from Southeast Asia (n=8). The most commonly studied gambling-like element in video games was loot boxes (n=105). Other elements investigated included esports betting, skin betting, token wagering, gambling advertisements, and gambling-like features. Several longitudinal studies have highlighted the risk of the gateway effect associated with gamblification involvement. However, emerging evidence suggests more nuanced underlying mechanisms that drive the transition from gaming to gambling.

Conclusions

Overall, there is early evidence of linkage between gambling and gaming, through shared structural and biopsychosocial characteristics. This association possibly extends beyond disparate comorbidity, as such engagement in one activity might influence the risk of partaking in the other behavior. The field requires further longitudinal data to determine the directionality and significant precipitating factors of the gateway effect, particularly evidence from Asia.

The cards they're dealt: types of gambling activity, online gambling, and risk of problem gambling in European adolescents

OBJECTIVE

This study aims to identify risk factors associated with gambling engagement and the likelihood of problem behavior, distinguishing by type of gambling activity and examining the impact of online gambling.

METHODS

Data about 85,420 students aged 16 from 33 countries participating in the 2019 European School Survey Project on Alcohol and Other Drugs (ESPAD) were analyzed through a three-stage sequential probit model, specifically focusing on four types of activity: lotteries, slot machines, cards, and betting. Furthermore, predicted probabilities were calculated for subsamples of students engaging in different types of gambling activities to explore their influence on the likelihood of problem gambling behavior, conditioned on online gambling involvement.

RESULTS

Certain groups, such as males and those with a history of school difficulties, exhibit a higher likelihood of problematic gambling behavior. Online gaming significantly influences adolescent gambling behavior, with slot machines demonstrating the highest predicted probabilities of risky behavior when combined with online gaming.

POLICY IMPLICATIONS

The findings highlight that gambling is quite common among adolescents, and that gamblers and problem gamblers display different profiles, suggesting the importance of targeted interventions and support for vulnerable individuals. Public policies should prioritize the regulation of high-risk gambling activities, particularly slot machines, by enhancing the enforcement of age restrictions and the education on the real odds of winning and potential harms of gambling, particularly among adolescents. It is crucial to foster policies and interventions that address the risks associated with online gambling for this age group.

Understanding Esports-related Betting and Gambling: A Systematic Review of the Literature

Esports gambling has steadily grown in popularity alongside esports itself. While research has been increasing in the field of esports-related gambling, no study has yet reviewed the relevant literature on esports gambling. The present study aimed to comprehensively review all empirical research conducted in the wider field of esports gambling. A systematic review following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines was undertaken using PsycINFO, PubMed, Scopus, and Web of Science databases. Only empirical studies were included and were also assessed for potential biases using the ROBUST guidelines. A total of 30 studies from eight countries were included in the review. Esports gamblers were found more likely to be young males, likely to score high on problematic gambling scales, and likely to belong to households speaking a non-English language at home in English speaking countries. Esports gamblers are a unique type of gambling population, with rare characteristics and behaviors compared to other types of gamblers. Given the limited number of studies, there is a need for further research in this field to understand these populations, as well as the need for longitudinal research.

Impulsivity and Risk-Taking Behavior in School-Going Adolescents

Introduction Impulsivity (or impulsiveness) and risk-taking behavior are significant concerns as the adolescent population is at a higher risk of injuries and violence, unhealthy sexual behaviors, and drug- and alcohol-related problems. The early identification of these traits in adolescents can prove beneficial through timely interventions. This study was conducted to assess impulsive behavior and risk-taking behavior among school-going adolescents in New Delhi, India, and to study the association, if any, between the two. Methodology A cross-sectional study was conducted among 571 students of classes 9th-10th in three randomly selected schools in a part of Delhi, India. Barratt Impulsiveness Scale - Brief (BIS-Brief) was used to evaluate impulsivity, and risk-taking behavior was assessed using the RT-18 tool. Results The majority (72.3%) of the 571 students were aged 14-15 years. Among the students, 56.0% were males. The impulsivity score obtained ranged from 8 to 30, with a mean score of 15.7 (SD ±4.1). The risk-taking score ranged from 2 to 18, with a mean score of 9.9 (SD ±2.9). Impulsivity was seen to be significantly higher among the female students (p=0.004). The risk-taking behavior was significantly higher among the students from government schools, among the females, and among those who used the internet more. There was a significant direct association between impulsivity and risk-taking behavior among the students (correlation coefficient 0.301, p<0.001). Conclusion The study results showed that the mean impulsivity and risk-taking scores were comparable to other studies in adolescent age groups done internationally using the same tools. Impulsivity and risk-taking behavior were both found to be higher among females. There was a significant direct association between impulsivity and risk-taking.

Understanding adolescent esports bettors: Are they a homogeneous group?

With the rapid rise of competitive video gaming (esports), increased attention has been placed on understanding the profiles of youth who wager on esports. With adolescents being at increased risk of gambling problems and endorsing high rates of past year engagement in video games, there is a need for research investigating psychological and social correlates of adolescent esports bettors and to identify whether youth who engage in esports betting are a homogenous group. Survey responses were collected from 5,997 high-school students (48.4 % male, Mage = 14.7 years [SD = 1.6], age range 12-17) from Wood County, Ohio, United States. A latent class analysis was conducted to identify subgroups of esports bettors based on self-reported measures of gambling frequency, risk for problem gambling, gaming frequency, disordered gaming, preference for virtual life and risky loot box use. Results indicated that 5.5 % of the sample reported esports betting over the past year. Four classes of esports bettors were identified which were indicative of a group of low-risk esports bettors, a group of esports bettors at risk of gaming problems, a group of esports bettors at risk of gambling problems, and a group of esports bettors at high risk of both gambling and gaming problems. Although no significant differences based on sex and age were noted between the classes, differences were noted in experienced childhood adversity, mental health symptoms and problem behavior severity. Results are discussed in line with previous findings relevant to adolescent and adult esports betting.

Motivations for Esports Betting and Skin Gambling and Their Association with Gambling Frequency, Problems, and Harm

This study aimed to examine gambling motivations for esports betting and skin gambling and their association with gambling frequency, problems, and harm. Data were collected via a cross-sectional online survey with 736 participants aged 18 + who engaged in esports cash betting (n = 567), esports skin betting (n = 180), or skin gambling on games of chance (n = 325). Respondents were asked to rate their motivations for the three activities across seven domains: social, financial, positive feelings or enhancement, internal regulation, skill building, competition/challenge, and skin acquisition. The results highlight both similarities and differences in gambling motivations across products. Financial gain and enhancement (i.e., excitement) were the main motivations endorsed for all activities, whereas skin acquisition was an additional motivation for esports skin betting and skin gambling. Across all three products, gambling to escape or improve mood was associated with higher levels of problem gambling and harm. Financial gain motivation was associated with problem gambling only for esports skin betting and skin gambling on games of chance. These findings underscore the importance of considering motivational influences on engagement with emerging gambling activities, especially since some motivations may be a contributing factor in harmful gambling outcomes.

Adolescents Who Play and Spend Money in Simulated Gambling Games Are at Heightened Risk of Gambling Problems

Simulated gambling, such as playing a virtual slot machine for points rather than money, is increasingly part of the online gaming experience for youth. This study aimed to examine (1) if youth participation in simulated gambling games is associated with participation in monetary gambling; (2) if youth participation in simulated gambling games is associated with increased risk of problematic gambling when controlling for breadth of monetary gambling (i.e., number of gambling forms); and (3) if monetary expenditure and time spent playing simulated gambling games increase the risk of problematic gambling. Two samples of Australians aged 12-17 years were recruited-826 respondents through an online panel aggregator (mean age 14.1 years) and 843 respondents through advertising (mean age 14.6 years). Aim 1 was addressed using chi-square and correlation analyses. Linear multiple regression analyses were conducted to address Aims 2 and 3. The findings in both samples supported the study's hypotheses-that (1) youth who play simulated gambling games are more likely to participate in monetary gambling, and that (2) participation and (3) time and money expenditure on simulated gambling are positively and independently associated with risk of problematic gambling when controlling for the number of monetary gambling forms, impulsivity, age and gender. To better protect young people, simulated gambling should, at minimum, emulate the consumer protection measures required for online gambling.