Exploring the prevalence of gaming disorder and Internet gaming disorder: a rapid scoping review

Yen

et al. 2021

IJERPH

Aim: Gaming escapism is an essential factor for developing internet gaming disorder (IGD). We evaluated coping strategies, resilience, stress, and depression in individuals with IGD. Methods: We included 69 participants with IGD and 138 controls (69 regular gamers and other non-gamers) in Taiwan. The self-reported coping strategies, coping stress with gaming, resilience, perceived stress, and depression were assessed. Results: Participants with IGD had higher dysfunctional coping, coping stress by gaming, perceived stress, and depression, as well as lower problem-focused coping and resilience. Regression analysis revealed that coping by gaming was associated with dysfunctional coping mechanisms, particularly venting and self-distraction. Compared with participants with adequate resilience, those with lower resilience had higher perceived stress, depression, and coping by gaming, and lower problem-focused and emotion-focused coping. Dysfunctional coping and coping by gaming were associated with perceived stress and depression in both IGD and control groups. Problem-focused coping was negatively associated with perceived stress and depression in controls. Conclusion: Individuals with IGD had higher perceived stress and depression, as they were more likely to cope with stress by dysfunctional coping and gaming and less likely to try problem-focused coping, particularly those with lower resilience. Interventions for IGD should promote problem-focused coping, such as active coping and planning strategies, particularly among those with lower resilience.

Section: Introductionmentioning

confidence: 99%

Coping, Resilience, and Perceived Stress in Individuals with Internet Gaming Disorder in Taiwan

Yen

et al. 2021

IJERPH

“…Prevalence estimates of IGD among general samples have been always below 5% ( 7 , 8 ), with a low of 0.5% and a high of 10% ( 9 ). In recent meta-analysis studies, the global prevalence of IGD was reported to be about 3.05% with significant variability ( 10 ), ranging from 0.21 to 57.5% in general populations, 3.2–91.0% in clinical populations, and 50.42–79.25% in populations undergoing intervention (i.e., severe cases) ( 11 ).…”

Section: Introductionmentioning

confidence: 99%

Monetary Reward Discounting, Inhibitory Control, and Trait Impulsivity in Young Adults With Internet Gaming Disorder and Nicotine Dependence

et al. 2021

Internet Gaming Disorder (IGD) has been considered a potential behavioral or non-substance addiction that requires further investigation. Recognition of the commonalities between IGD and Substance Use disorders (SUD) would be of great help to better understand the basic mechanisms of addictive behaviors and excessive Internet gaming. However, little research has targeted a straightforward contrast between IGD and SUD on neuropsychological aspects. The present study thus aimed to explore the associations of reward processing and inhibitory control with IGD and nicotine dependence (ND) in young adults. Fifty-eight IGD and 53 ND individuals, as well as 57 age- and gender-matched healthy controls, were assessed with a series of measurements including the Delay-discounting Test (DDT), Probability Discounting Test (PDT), the Stroop Color-Word Task, a revised Go/No Go Task, and the Barratt Impulsiveness Scale (BIS-11). Multivariate analysis of variance (mANOVA) models revealed that both IGD and ND groups scored higher than healthy controls on the BIS-11 attentional, motor, and non-planning impulsiveness (Cohen's d = 0.41–1.75). Higher degrees of delay discounting on the DDT were also found in IGD and ND groups compared to healthy controls (Cohen's d = 0.53–0.69). Although IGD group did not differ from healthy controls on the PDT, ND group had a lower degree of probability discounting than healthy controls (Cohen's d = 0.55), suggesting a reduction in risk aversion. Furthermore, ND subjects showed a lower correct accuracy in the incongruent trials of the Stroop task than healthy controls (Cohen's d = 0.61). On the Go/No Go task, both IGD and ND groups had a lower correct accuracy in the No-Go trials than healthy controls (Cohen's d = 1.35–1.50), indicating compromised response inhibition. These findings suggested that IGD was linked to both anomalous reward discounting and dysfunctional inhibitory control, which was comparable with one typical SUD category (i.e., ND). This study might promote a better understanding of the pathogenesis of IGD as a potential addictive disorder similar to SUD.

“…Subscales of the SCL-90, with the exception of phobic anxiety, were completed by respondents with internet gaming disorder, but none was found to increase susceptibility to internet gaming disorder in this study. The prevalence of internet gaming disorder has previously been found to range between 0.27% and 57.50% [34] and that of internet addiction has been found to range from 0.8% to 26.7% [35]. Notably, prior studies [5,[36][37][38][39][40][41] indicated that internet addiction and video game addiction or problematic gaming prevalence dropped within the older age groups.…”

Section: Prevalence and Demographics Of Internet Gaming Disorder Amonmentioning

confidence: 98%

Potential Correlates of Internet Gaming Disorder Among Indonesian Medical Students: Cross-sectional Study

Siste¹,

Hanafi²,

Sen³

et al. 2021

J Med Internet Res

Background Internet gaming disorder has been a controversial topic for nearly a decade. Although internet addiction has been studied in medical students, there is a paucity of evidence regarding internet gaming disorder. Previous studies in Indonesia explored only the prevalence rate and characteristics. Objective This study aimed to determine the prevalence rate of internet gaming disorder and correlations between internet gaming disorder, temperament, and psychopathology among Indonesian medical students. Methods A cross-sectional study was performed from August 2019 to September 2019 using total and convenience sampling at a private university and a public university, respectively. The study variables were measured using the Indonesian version of the 10-item Internet Gaming Disorder Test, the Temperament and Character Inventory, and the Symptoms Checklist 90. Chi-square and logistic regression analyses were conducted to examine the relationships between demographic factors, temperament, psychopathology, and the presence of internet gaming disorder. Results Among the 639 respondents, the prevalence rate of internet gaming disorder was 2.03% (n=13), with a mean age of 20.23 (SD 0.13) years and an average gaming duration of 19.0 (SD 0.96) hours/week. Up to 71.2% respondents played using their mobile phones, and respondents with internet gaming disorder reported experiencing all psychopathologies assessed, except phobic anxiety. Bivariate analysis demonstrated that internet gaming disorder was associated with gender, gaming duration, gaming community affiliation, and 9 out of 10 domains of psychopathology. In a logistic regression model, internet gaming disorder was correlated with weekly gaming hours ≥20 hours (odds ratio [OR] 4.21, 95% CI 1.08-16.38, P=.04). Conclusions These findings suggest that the prevalence of internet gaming disorder among medical students in Jakarta, Indonesia is similar to that in other populations of Asian countries. The predisposing factor for internet gaming disorder was weekly gaming duration, while other demographic, temperament, and psychopathology variables acted as probable moderators. Strategies should, therefore, be developed and integrated into medical curriculum to screen and aid individuals with these predisposing factors.