Contentious Issues and Future Directions in Adolescent Gambling Research

Gambling and virtual reality: unraveling the illusion of near-misses effect

Introduction

Studying gambling behavior is a crucial element in reducing the impact of problem gambling. Nevertheless, most current research is carried out in controlled laboratory settings rather than real-life situations, which raises concerns about how applicable the findings are in the broader context. Virtual reality (VR) has proven to be a valuable tool and has been utilized in various experimental scenarios. A limited number of studies have employed VR to investigate gambling behaviors, and few have explored them in an older adolescent context.

Methods

This study examined the behavioral and physiological effects of gambling behavior, including problem gambling, gaming addiction, and risk-taking decision-making in a sample of 36 high-school students aged between 18 to 20 years using an ad-hoc constructed VR scenario designed to simulate a slot-machine platform.

Results

The behavioral results highlighted that participants reporting more problem gambling were sensitive to near-misses: i.e., they bet more after near-misses than after losses. This result may reflect the false belief that gamblers, after near-misses, are closer to winning. Physiological data showed that participants exhibited heart rate deceleration during the anticipation of the outcome, which has been suggested to represent a marker of feedback anticipation processing and hyposensitivity to losses.

Discussion

Overall, this study provides evidence for a new VR tool to assess gambling behaviors and new insights into gambling-related behavioral and physiological factors. Implications for the treatment of problem gambling are discussed.

Online Gambling Patterns and Predictors of Problem Gambling Among Korean Adolescents During the COVID-19 Pandemic: A Cross-sectional Study

PURPOSE

This study examined online gambling patterns among Korean adolescents during the COVID-19 pandemic and identified predictors of problem gambling based on a socio-ecological model.

METHODS

It used nationally representative data from the 2020 National Survey on Youth Gambling Problems conducted by the Korea Center on Gambling Problems. This study selected a sample of 780 adolescents aged 13-18 years who reported having gambled online at least once in the last three months from the raw data of respondents. They were classified as the non-problem group and problem group according to the Gambling Problems Severity Scale (GPSS) of the Canadian Adolescent Gambling Inventory (CAGI). The predictive factors of problem gambling were analyzed by logistic regression analysis.

RESULTS

The prevalence of problem gambling was 24.6 %. Its predictors included intrapersonal [male (odds ratios, OR = 1.67); gambling prior to COVID-19 (OR = 2.08)] and interpersonal factors [frequent gamblers in peers (OR = 4.34); peer pressure (OR = 2.34)]. Social factors, such as gambling in online community (OR = 5.60), sports betting (OR = 53.24), and lotteries (OR = 17.03) were associated with problem gambling.

CONCLUSIONS

The major predictors of problem gambling among adolescent online gamblers included peer gambling and specific types of gambling. To prevent problem gambling, strategies targeting peer groups are essential. In addition, nurses need to share with families, schools, communities, and policymakers that online gambling, such as lotteries and sports betting, are high-risk of adolescent problem gambling, and recommend them to collaborate for stricter regulatory measures.

Gaming disorder and stigma-related judgements of gaming individuals: An online randomized controlled trial

BACKGROUND AND AIMS

The inclusion of gaming disorder (GD) in the International Classification of Diseases 11th Revision (ICD-11) has generated scholarly debate, including claims about its potential stigmatizing effects on the wider gaming population. The present study aimed to estimate the effect of addiction-based and non-addiction-based conceptualizations of problem gaming on stigma of gamers.

DESIGN

This preregistered experiment involved a 2 (health information: addiction-related or non-addiction-related) × 3 (vignette: problem, regular or casual gamer) randomized, between-subjects design.

SETTING

An international sample of participants was recruited via Prolific in June and July 2021.

PARTICIPANTS

Participants were eligible (n = 1228) if they were aged 35 to 50 years, played video games for no more than 6 hours per week and did not endorse DSM-5 or ICD-11 criteria for GD.

INTERVENTION AND COMPARATOR

Participants were provided with an explanation of problem gaming as related to either an addictive disorder (i.e. 'addiction' explanation) or personal choice and lifestyle factors (i.e. 'non-addiction' explanation).

MEASUREMENTS

The Attribution Questionnaire (AQ) and Universal Stigma Scale (USS) assessed stigma toward each gamer vignette. Vignettes described a problem gamer (with features of GD); a regular gamer (frequent gaming; some life interference); and a casual gamer (infrequent gaming; no life interference).

FINDINGS

Problem gamer vignettes (mean [M] = 113.3; 95% CI = 111.5-115.4) received higher AQ stigma ratings than regular (M = 94.0; 95% CI = 91.9-95.9) and casual gamers (M = 80.1; 95% CI = 78.2-82.1). Although significant, the effect of health information type on AQ stigma ratings was negligible (addiction group [M = 97.6; 95% CI = 95.9-99.1], non-addiction group [M = 94.1; 95% CI = 92.6-95.8]). However, the addiction information group scored lower on USS blame and responsibility than the non-addiction information group with at least a small effect (99.1% confidence).

CONCLUSIONS

Framing of problem gaming as an addictive disorder or non-addictive activity appears to have a negligible effect on stigma of different gamers among middle-age adults with minimal gaming experience. The concept of 'gaming addiction' seems unlikely to be an important influence on public stigma of gaming.