Prevalence Of Gaming Disorder Research Articles

The prevalence and possible risk factors of gaming disorder among adolescents in China.

Nowadays, moderate gaming behaviors can be a pleasant and relaxing experiences among adolescents. However, excessive gaming behavior may lead to gaming disorder (GD) that disruption of normal daily life. Understanding the possible risk factors of this emerging problem would help to suggest effective at preventing and intervening. This study aimed to investigate the prevalence of GD and analyze its possible risk factors that adolescents with GD. Data were collected between October 2020 and January 2021. In total, a sample of 7901 students (4080 (52%) boys, 3742 (48%) girls; aged 12-18 years) completed questionnaires regarding the Gaming-Related Behaviors Survey, Gaming Disorder Symptom Questionnaire-21 (GDSQ-21); Behavioral Inhibition System and Behavioral Activation System Scale (BIS/BAS Scale); Emotion Regulation Questionnaire (ERQ); Short-form Egna Minnenav Barndoms Uppfostran for Chinese (s-EMBU-C); and Adolescent Self-Rating Life Events Checklist (ASLEC). The prevalence of GD was 2.27% in this adolescent sample. The GD gamers were a little bit older (i.e., a higher proportion of senior grades), more boys, with more gaming hours per week in the last 12 months, with more reward responsiveness, maternal rejecting and occurrence of negative life events (e.g., interpersonal relationships, being punished and bereavement factors). These possible risk factors may influence the onset of GD. Future research in clinical, public health, education and other fields should focus on these aspects for provide target prevention and early intervention strategies.

The nature and characteristics of problem gaming, with a focus on ICD-11 diagnoses.

This review describes the diagnoses related to problem gaming that are included in ICD-11, published by the WHO in 2022. It summarizes the recent literature on the prevalence of Gaming Disorder, its structure, antecedents and comorbidities, and explores whether the range of diagnoses currently available adequately covers the range of experiences seen with problem gaming. Overall, between 3 and 6% of the population worldwide are reported to have a gaming disorder as defined by ICD-11 or DSM-5. However, most studies are constrained by methodological issues such as nonrepresentative samples and the use of brief questionnaires to determine prevalence. ICD-11 Gaming Disorder is a psychometrically sound diagnosis. There is no diagnosis that currently captures the experience of harm from gaming, where the requirements for the diagnosis of Gaming Disorder are not reached. There is evidence in support of the proposed new entity of 'Harmful Gaming', which encompasses mental and physical harm/impairment due to a repeated pattern of gaming, but where requirements for the diagnosis of Gaming Disorder are not met. Such a diagnosis would complete the spectrum of diagnoses available for problem or unhealthy gaming, similar to those for unhealthy substance use, and would provide a framework for a public health approach to reducing the overall harm from unhealthy gaming.

The mediating effect of dispositional mindfulness on the association between UPPS-P impulsivity traits and gaming disorder among Asia-Pacific young adults

BackgroundLittle evidence is available to verify the mediating effect of dispositional mindfulness on the association between gaming disorder and various impulsivity traits. The present study aimed to investigate the mediating effect of dispositional mindfulness on the association between the five UPPS-P impulsivity traits and the risk of gaming disorder among young adults.MethodsIt was an inter-regional cross-sectional study using online survey in Australia, Japan, The Philippines and China. Impulsivity measured by the UPPS-P Impulsive Behavior Scale–Short version; dispositional mindfulness measured by the Mindfulness Attention Awareness Scale; and the risk of gaming disorder measured by the Internet Gaming Disorder Scale were collected in the focal regions. Structural equation modeling was performed by SPSS AMOS version 26 to verify the study hypotheses. Bootstrapped 95% confidence interval was reported. Statistical significance was indicated by the p-value below 0.05.ResultsAmong the 1,134 returned questionnaires, about 40% of them aged 18–20 years and 21–23 years, respectively. 53.8% were male. 40.7% had been playing digital and video games for over 10 years. The prevalence of gaming disorder was 4.32%. The model fitness indices reflected that the constructed model had an acceptable model fit (χ2(118) = 558.994, p < 0.001; χ2/df = 4.737; CFI = 0.924; TLI = 0.890; GFI = 0.948; RMSEA = 0.058; SRMR = 0.0487). Dispositional mindfulness fully mediated the effect of positive urgency and negative urgency on the risk of gaming disorder. The effect of lack of premeditation on the risk of gaming disorder was partially mediated by dispositional mindfulness. However, dispositional mindfulness did not mediate the effect of sensation seeking on the risk of gaming disorder.ConclusionsThe varied associations between dispositional mindfulness and the five impulsivity traits hints that improving some impulsive traits may increase dispositional mindfulness and so lower the risk of gaming disorder. Despite further studies are needed to verify the present findings, it sheds light on the need to apply interventions on gamers based on their impulsivity profile. Interventions targeting at emotion regulation and self-control such as mindfulness-based interventions seem to be effective to help gamers with dominant features of urgency and lack of premeditation only. Other interventions shall be considered for gamers with high sensation seeking tendency to enhance the effectiveness of gaming disorder prevention.

Changes in brain structure in people with gaming disorder. A review of neuroimaging studies.

This review aims to summarise the current knowledge on structural brain changes among people diagnosed with gaming disorder and the resulting clinical implications. The review will show the theoretical psychological and neurobiological models of computer gaming disorder in conjunction with the results of structural neuroimaging studies. Previous epidemiological studies indicate that the prevalence of gaming disorder in the population may reach approx. 2%. Researchers indicate that the aetiopathogenesis of computer game use disorder is complex and includes psychological, social, as well as neurological and hormonal factors. From the perspective of psychological research exploring gaming disorder, it can be concluded that a person has certain specific psychopathological features and/or symptoms, which, through mediating factors, such as the inability to cope with stress or negative emotions, influence the formation of the symptoms of the disorder. In the context of the neurobiology of behavioural addictions, researchers point to disorders in the mesocorticolimbic reward system, which is influenced by dysfunctional neuronal mechanisms of emotion and stress regulation. When describing structural changes in the brain, researchers most often report differences in the volume of grey matter, which include areas of the dorsolateral prefrontal cortex, temporooccipital cortex, superior and posterior parietal cortex, anterior cingulate cortex, cerebellum, insular cortex, limbic system, and basal ganglia.

Prevalence of gaming disorder in East Asia: Acomprehensive meta-analysis.

Asian countries are deemed to be high prevalence areas for gaming disorder (GD). This meta-analysis is the first to synthesize the overall prevalence of GD in East Asia and investigate characteristics that influence prevalence estimates. Systematic and independent searches were conducted across PubMed, Web of Science, Embase, PsycINFO, and the Cochrane Library since their inception to January 27, 2021. The Agency for Healthcare Research and Quality scale was used for quality assessment. A random effect model was used to calculate the overall GD prevalence and 95% confidence intervals (CIs). In total, 22 articles (26 studies) comprising 51,525 participants were included in this meta-analysis. The overall pooled prevalence of GD in East Asia was 12%, 95% CI (10%-15%); this figure was adjusted to 6%, 95% CI (3%-9%) for a representative sample. Higher prevalence was observed in males than in females (16% vs. 8%, respectively, P < 0.05). Subgroup and meta-regression analyses revealed that studies among gamers or those without random sampling reported significantly higher prevalence rates. There were no significant differences between countries/regions, sample size, quality score, proportion of males, and scale used. The prevalence of GD in East Asia is higher than that in other world regions. Future studies should extend such epidemiological research to other regions to calculate the accurate prevalence of GDto benefit thelocal identification, prevention, policy formulation, and treatment efforts. Considering its negative effects, effective preventive and treatment measures for GD in East Asia need greater attention.

Prevalence and Factors Associated with Gaming Disorder in Latin America and the Caribbean: A Systematic Review.

We aimed to determine the prevalence and factors associated with gaming disorder (GD) in the population of Latin America and the Caribbean (LAC). A systematic review was performed (PROSPERO protocol registration: CRD42021230565). We included studies that identified participants with GD and/or factors associated with this condition, reported the prevalence of GD, or contained data that assisted in its estimation, were published after 2013 (the year of inclusion of GD in the Fifth Edition of the Diagnostic and Statistical Manual of Mental Disorders) and were carried out in a population residing in an LAC country. Evaluation of the quality of the studies was carried out using the Joanna Briggs Institute Critical appraisal checklist tool. A qualitative synthesis of the data was performed. Of the total of 1567 records identified, 25 passed the full-text review phase, and 6 met the selection criteria. These studies were published between 2018 and 2021 and had a cross-sectional design (three in Brazil, one in Ecuador, Mexico, and the other was multi-country, including a LAC country [Peru]). The prevalence of GD ranged from 1.1% to 38.2%. The three studies in Brazil had the highest figures of GD prevalence (20.4–38.2%). Four studies evaluated factors associated with GD. Characteristics regarding the game (type), pattern of use (hours played), as well as gender (higher in men), tobacco and alcohol consumption, poor interpersonal relationships, and the presence of mental disorders were found to be associated with GD in LAC. Evidence on the prevalence and factors associated with GD in LAC is limited. Studies on GD in LAC evaluate different population subgroups, describing a wide prevalence of this condition (present in up to 38 out of 100 evaluated). Characteristics such as the type and hours of use of the games, sociodemographic data, lifestyles, interpersonal relationships, and the presence of mental disorders increase the probability of presenting GD.

Gaming Disorder Symptom Questionnaire: The Development and Validation of a Screening Tool for ICD-11 Gaming Disorder in Adolescents.

BackgroundGaming disorder (GD) has been recognized as an official diagnostic entity in the latest revision of the International Classification of Diseases (ICD-11). However, the majority of previous studies used different instruments, which are not fully consistent with the concept of GD in ICD-11. The development of a screening assessment instrument based on ICD-11 for this new disease entity is very urgent and important.MethodsThe ICD-11 Gaming Disorder Symptom Questionnaire (GDSQ), based on the ICD-11 diagnostic guidelines for GD, was developed by a team of GD experts. A total of 7,790 adolescents were included in this study. Criterion validity was assessed by GDSQ, Video Gaming Dependency Scale (VGDS), weekly game playing time, weekly game video viewing time, and monthly money spent on games. Item structure was measured by factorial analysis. Discrimination between GD and non-GD was examined based on the receiver characteristic curve (ROC).ResultsThe GDSQ was very well described by three symptoms of GD (i.e., impaired control, increasing priority to gaming, and continued use despite the occurrence of negative consequences). The internal consistency was excellent (Cronbach's α = 0.964) with good criterion validity and good discriminatory power. The optimal cutoff point for determining the profile of gamers was found to be ≥62 points. The GDSQ revealed that the prevalence of GD was 2.27% in this adolescent sample.ConclusionThe ICD-11–based GDSQ is a successfully validated measurement scale for GD among adolescents. This study provides a new tool (GDSQ) for us to effectively identify individuals with risk of GD in medical and non-medical settings.

Usage de Jeux de hasard et d’argent et d’Internet dans une population de patients en demande de soins en addictologie–Étude multicentrique

BackgroundTransversal grouping of addictions under the heading “Substance related and addictive disorders” in the DSM-5 has led to a common policy on addictions and the promotion of addiction services covering all types of addictions, including behavioral addictions. Material and methodsThe main objective of this study was to describe the prevalence of problem gambling in a population of patients seeking treatment in addictive disorders center. Secondary objectives were: to describe the use of Internet and the prevalence of gaming disorder, sexual addiction and compulsive buying online ; to describe a population of patients consulting in addictive disorders center; to explore associated factors related to problem gambling. A self-questionnaire was built, evaluating the socio-demographic elements, the addiction pathway, problem gambling and Internet use with a focus on video game disorder, sexual addiction and compulsive buying. It was offered to consultants from five addictology centers in Brittany. Results252 patients seeking treatment for addictive disorders were included. Problem gambling was present in 9.9 % of patients. Problem gamblers were more likely to have been asked about their gambling by the addictology team than other patients. The rate of identification of gambling habits, whether in addiction or outside, was generally low. Internet use was 83 %. The prevalence of other online behavioral addictions was low. Discussion and conclusionThe prevalence of problem gambling is almost 4 times higher among addictology consultants, compared to the general population, probably related to addictive comorbidities. The identification of gambling habits concerned a small proportion of the patients included, whether in specialized care or outside. There is significant room for improvement in the identification of problem gambling, in addictology and beyond. It is important to question gambling habits for any reason for addiction consultation and to repeat this identification over time. As the Internet is widely used by addictology consultants, it can represent a key element in care, both in the identification of behavioral addictions and in follow-up.

Effectiveness of Available Treatments for Gaming Disorders in Children and Adolescents: A Systematic Review.

In 2020, the prevalence of gaming disorder (GD) was comparable with the prevalence of obsessive-compulsive disorder, thus demonstrating the necessity of addressing Internet gaming disorder (IGD) and GD in general. GD has been introduced as a psychiatric disorder by International Classification of Diseases and paving the way for treatment and prevention interventions. In this review, we researched available treatment interventions in children and adolescents. Τhe initial search resulted in 972 studies and we ended up with 16 by excluding inappropriate studies according to six inclusion criteria. The studies confirmed that cognitive-behavioral therapy (CBT) or CBT-based interventions are the most used, and in cases of comorbidity, such as depression or attention-deficit/hyperactivity disorder, the appropriate pharmaceutical intervention also was an effective option. Other interventions combined CBT with family therapy or CBT-based therapies that took place in specialized camps. Family as a supportive expedient or even treatment expedient seemed to play a major role. It is remarkable that only little knowledge exists regarding treatment interventions for children aged 8-12 years old. Therefore, more studies need to be carried out for this age range especially, with comparable efficacy to this of other interventions.

The Association Between Gaming Practices and Scholastic Performance Among Medical Students in India: Case-Control Study.

BackgroundGaming is a billion-dollar industry that is expanding at a compound annual growth rate of 9% to 14.3%, with the biggest market in Southeast Asian countries. The availability of low-cost smartphones and the ease at which the internet can be accessed have made gaming popular among youth, who enjoy it as a leisure activity. According to the World Health Organization, excessive indulgence in gaming can lead to gaming disorder. Medical students indulging in excessive gaming can succumb to gaming disorder, which can affect their scholastic performance.ObjectiveThis study aimed to assess the association between gaming practices and scholastic performance among medical students.Methods This study used a case-control design, where 448 medical undergraduate students (first year to prefinal) were preliminarily surveyed using universal sampling on their gaming practices in the last 6 months. Out of this sample, the 91 participants who admitted to gaming in the past 6 months were recruited as cases, while participants who never engaged in gaming in the last 6 months were recruited as controls. Both the cases and controls were matched for age and gender in a 1:1 ratio. The internal assessment scores (based on 2 midterms completed in the last 6 months) of cases and controls were compared. The Snedecor F test was used to determine the association between the number of hours spent gaming and internal assessment scores (%), while the Student t test was used to determine significant differences between the internal assessment scores of cases and controls. Odds ratios were calculated to identify the risk of poor scholastic performance among cases compared to the controls. The prevalence of gaming disorder among cases was assessed using the Gaming Addiction Scale (GAS).ResultsThe frequency of gaming (in hours) was not associated with mean internal assessment scores (P=.13). Male cases reported significantly lower internal assessment scores compared to male controls (P=.005 vs P=.01), whereas no significant differences were observed between the internal assessment scores of female cases and controls (P=.89 vs P=.59). A negative correlation was observed between GAS scores and internal assessment scores (r=–0.02). The prevalence of gaming disorder using the GAS was observed to be 6.3% (28/448) in the study population and 31% (28/91) among cases. The risk of low scores (<50%) among gamers was observed to be 1.9 (95% CI 1.04-3.44, P=.03) times higher in the first midterm and 1.80 (95% CI 0.97-3.36, P=.06) times higher in the second midterm compared to nongamers.ConclusionsThe findings suggest that excessive gaming adversely affects the scholastic performance of male participants more than female participants. Awareness about gaming disorder needs to be created among students, parents, and teachers. Treatment services should be made available to medical students with gaming disorders.

Evaluating the Social Cost of Conflict between New Media and Society: The Case of Gaming Disorder in South Korea

Historically, the introduction of a new media in mass market caused a strong conflict starting from the nineteenth century popular literature, comics, rock music and film. Interestingly, these conflicts have shown similar and repeated patterns, which is now called media panic and moral regulation, and games are following this pattern. In 2019, Gaming disorder (GD) was decided to be included in the International Classification of Diseases (ICD-11), and similar conflicts on games arenow expected. However, the social cost and damage have not been fully addressed until now. Thus, this study focuses on the estimation of the social cost induced by GD for policy design and decisions in the public healthcare of South Korea. Using the contingent valuation method, a popular valuation method in econometrics for non-market goods, this study has tried to estimate the social cost induced by the introduction of GD into the public healthcare practice. Focusing on a false positive problem in the diagnosis, this study estimates that the willingness to pay for GD diagnosis for children is about KRW 152 K (USD 135). Considering the difference between the prevalence of GD (1.9%) and GD suspicion rate of children in the respondents (12.54%), the excessive medical diagnosis cost due to the false positive problem is estimated to KRW 101 billion (USD 89.6 M), which is about four times more than the annual medical cost for Attention Deficit Hyperactivity Disorder (ADHD) treatment in South Korea. Thus, strong scientific proof and a cautious policy approach on GD are needed before the inclusion of GD in the public health practice.

Development and validation of a nine-item short screening test for ICD-11 gaming disorder (GAMES test) and estimation of the prevalence in the general young population

Background and AimsA definition of gaming disorder (GD) was introduced in ICD-11. The purpose of this study was to develop a short screening test for GD, utilizing a reference GD group. It also sought to estimate the prevalence of GD among individuals, representative of the general young population in Japan.MethodsTwo hundred eighty one men and women selected from the general population, aged between 10 and 29 years, and 44 treatment seekers at our center completed a self-reported questionnaire comprising candidate questions for the screening test. The reference group with ICD-11 GD was established, based on face-to-face interviews with behavioral addiction experts, using a diagnostic interview instrument. The questions in the screening test were selected to best differentiate those who had GD from those who did not, and the cutoff value was determined using the Youden index.ResultsA nine-item screening test (GAMES test) was developed. The sensitivity and specificity of the test were both 98% and the positive predictive value in the study sample was 91%. The GAMES test comprised two factors, showed high internal consistency and was highly reproducible. The estimated prevalence of GD among the general young population was 7.6% (95% confidence interval; 6.6–8.7%) for males and 2.5% (1.9–3.2%) for females, with a combined prevalence of 5.1% (4.5–5.8%).Discussion and ConclusionThe GAMES test shows high validity and reliability for screening of ICD-11 GD. The estimated prevalence of 5.1% among the general young population was comparable to the pooled estimates of young people globally.

New perspectives on the prevalence and associated factors of gaming disorder in Hong Kong community adults: A generational approach

Gaming disorder (GD) has been widely examined in younger gamers, but scholars have yet to thoroughly investigate this phenomenon in a broader spectrum of adults. We performed nuanced analysis of the prevalence and associated factors of GD among three generations of Hong Kong adults, namely, Millennials, Generation X'ers, and Baby Boomers. Our study further examined the associations between GD and three mental health indicators (i.e., social anxiety, loneliness, and depression) and investigated the moderating role in such associations played by four demographic variables (i.e., gender, relationship status, education level, and generation). A community sample of 847 Hong Kong adults was recruited (39% male, mean age = 49.9 years, age range = 18–73). The estimated prevalence of GD was 8.3% in the gamer sample, and 2.6% in the overall sample, with significant differences in generation and relationship status between the GD and non-GD groups. All three mental health indicators were positively associated with GD, and relationship status and education level were found to moderate the association between social anxiety and GD. These findings reveal GD to be a mental health concern not only for Millennial gamers but also for older gamers, Generation X'ers in particular.

Fear of Missing Out (FoMO) and Gaming Disorder among Chinese University Students: Impulsivity and Game Time as Mediators

Background and aims Research into the fear of missing out (FoMO) has greatly increased in recent years. Given the negative consequences of gaming disorder (GD) among a small minority of individuals, there is an increasing need for research examining the impact of FoMO on GD. However, little is known about the roles of impulsivity and gaming time as mediators in the relationship between FoMO and GD. The present study examined whether impulsivity and gaming time mediated the relationship between FoMO (trait-FoMO and state-FoMO) and GD among Chinese university students, as well as the prevalence of GD. Methods A total of 1127 university students completed an online survey including the Chinese Trait-State Fear of Missing Out Scale (T-SFoMOS-C), the Barratt Impulsiveness Scale-Brief (BIS-Brief), gaming time survey, and the Chinese Gaming Disorder Scale (CGDS). Results The prevalence of GD was 6.4% among Chinese university students. Trait-FoMO was found to indirectly impact GD via impulsivity and gamine time, whereas the direct effect of trait-FoMO on GD and the mediation effects of gaming time were not confirmed. State-FoMO impacted on GD both directly, and indirectly via the mediation effects of impulsivity as well as impulsivity and gaming time. Conclusion Trait-FoMO on GD was fully mediated via impulsivity and gaming time, whereas state-FoMO on GD was partly mediated via impulsivity and gaming time. Individuals with high levels of FoMO were more likely to show impulsivity and spend a longer time gaming, and these factors were associated with GD. These findings provide insights to incorporate into health prevention programs to help regulate emotion, control impulsivity, and decrease GD.

Psychometric Validation of the Turkish Gaming Disorder Test: A Measure That Evaluates Disordered Gaming According to the World Health Organization Framework

PURPOSE: Previous research on gaming disorder (GD) used psychometric tools, which evaluates according to the American Psychiatric Association (APA) diagnostic framework. The Gaming Disorder Test (GDT), a standardized measure to assess symptoms and prevalence of GD according to the World Health Organization (WHO) diagnostic framework. The main aim of the current study was to adapt GDT to Turkish. METHOD: In the present study participants were assessed with the GDT, the Internet Gaming Disorder Scale–Short-Form (IGDS9-SF), and the CAGE-Problematic Internet Use Questionnaire (CAGE-PIUQ). The factor structure of the scale was tested with Confirmatory Factor Analysis (CFA), and reliability and validity analyses were conducted. The method used in the study, and the scale adaptation, RESULTS: A sample of 932 Turkish gamers (58.3% male, mean age 23.64 years, SD=5.42) was recruited online. Confirmatory factor analyses demonstrated that the unidimensional factor structure of the GDT was satisfactory. The scale was also reliable (i.e., internally consistent with a Cronbach's alpha of 0.879) and showed adequate convergent and criterion-related validity, as indicated by statistically significant positive correlations between average time daily spent playing games (ATDSPG) during last year, IGDS9-SF and CAGE-PIUQ scores. By applying the International Classification of Diseases 11th edition (ICD-11) threshold for diagnosing GD (e.g., meeting all four criteria by answering them either with ‘often’ [4] or ‘very often’ [5]), it was found that the prevalence of GD is 1.9% (n = 18). CONCLUSION: Online gaming preference, ATDSPG and probable ADHD predicted the severity of disordered gaming. These findings support the Turkish version of the GDT as a valid and reliable tool for determining the extent of GD related problems among young adults and for the purposes of early GD diagnosis in clinical settings and similar research.

A Cross-Sectional Study to Assess the Gaming Disorder and Problematic Usage of Mobile Phones among College Students of Hubli-Dharwad

Background: Gaming disorder has been included as a mental health disorder by WHO in ICD 11 revision. There is increased dependence on mobile phones, video games, and the internet among all age groups. Excessive use of mobile phones and gaming affects the physical, mental health and social life&#x0D; Objectives: To assess the prevalence of gaming disorder and problematic usage of mobile phones, and to assess the common health problems faced after prolonged usage.&#x0D; Materials and Methods: A cross-sectional study was conducted among 220 students of Hubli-Dharwad studying in various degree courses using a predesigned semi-structured questionnaire. The Ten-Item Internet Gaming Disorder Test (IGDT-10) scale and Problematic Usage of Mobile Phone (PUMP) scale were used in the study&#x0D; Results: Out of 220 college students 52.3% were girls and 47.7% were boys. The mean game scoring was 2.11±2.18, and the mean problematic mobile usage score was 50.60±11.282, the prevalence of gaming disorder was 15%. The PUMP score was high among those who had gaming disorder. 74%of the participants complained one or the other health problems, most common being sleep disturbance.&#x0D; Conclusion: The problematic mobile usage and gaming disorder is high among students. A proper supportive environment is needed in the college and also in their homes.