Predicting Video Game Addiction Through the Dimensions of Consumer Video Game Engagement: Quantitative and Cross-sectional Study

Scoping review of withdrawal's role in contemporary gaming disorder research: Conceptualizations and operationalizations

The global gaming community now exceeds 3 billion players, prompting increased attention from social and medical sciences regarding gaming-related disorders. Internet Gaming Disorder (IGD) was incorporated into DSM-5 in 2013, and Gaming Disorder (GD) found its place in ICD-11 in 2019. A contentious criterion in IGD, not present in GD, revolves around withdrawal symptoms. This paper offers a theoretical foundation on gaming withdrawal symptoms in gaming-related disorders and conducts a scoping review of withdrawal operationalization and conceptualization in 40 selected studies, following PRISMA-ScR guidelines. Most studies employed a correlation framework, relying on convenience samples and self-assessment questionnaires. A smaller portion focused on clinical samples and case studies. Withdrawal was predominantly conceptualized in terms of affective components, with less emphasis on behavioural, cognitive, physical, or neurological aspects. The prevailing terminology for gaming-related disorders was IGD, with only three studies referencing GD as defined in ICD-11. Notably, just six experimental studies included abstinence control. We advocate for an expansion of research on withdrawal symptoms, particularly through experimental studies that implement abstinence within experimental groups and offer alternative operationalizations beyond dominant self-assessment measures.

The effect of three violent videogame engagement states on aggressive behavior: A partial least squares structural equation modeling approach

Debate on violent games and their effect on aggressive behavior remains inconclusive. This study aims to study the predicting role of cognitive, affective, and behavioral engagement states in violent videogames on aggressive behavior, which remains nebulous to date. We visited gaming zones and administered the study survey to collect data from violent videogame users. We collected 208 valid responses that were further analyzed. The present study used SmartPLS (3.3.3) software to perform partial least squares structural equation modeling (PLS-SEM) analysis in two stages. In the first stage, the measurement model assessment reported that cognitive, affective, behavioral, and aggressive behavior proved to be reliable reflective-formative composite constructs. Whereas, the second phase illustrated that cognitive engagement in violent videogames fails to impact aggressive behavior. The other two engagement states (affective and behavioral) in violent games showed a positive impact on aggressive behavior. Our study contributes to aggressive behavior literature by understanding how violent videogame engagement states impact aggressive behavior, which is crucial to recognize aggression so that steps can be taken toward addressing it. This study also contributes methodologically by utilizing the hierarchical component model (HCM) approach to estimate, specify, and validate the hierarchical structure of higher-order constructs (i.e., consumer violent videogame engagement dimensions (cognitive, affective, and behavioral) and aggressive behavior) as reflective-formative composite models.