The Clinical Consistency and Utility of ICD-11 Diagnostic Guidelines for Gaming Disorder: A Field Study Among the Chinese Population

Burden of gaming disorder among adolescents: A systemic review and meta-analysis

Objectives

Integrating digital technology into daily life has made video games a primary form of entertainment for adolescents worldwide. Despite their benefits, excessive gaming has emerged as a significant public health issue, recognized as a gaming disorder by the World Health Organization in the ICD-11. This study aims to assess the prevalence of gaming disorders among adolescents through a systematic review and meta-analysis.

Study design

Systematic review and meta-analysis.

Methods

A search was conducted across multiple databases until February 15, 2024. Observational studies that assessed the prevalence of gaming disorder were included. Nested Knowledge software was used for screening and data extraction. The quality assessment was performed using the Joanna Briggs Institute tool. Meta-analysis using a random effect model was used to synthesize prevalence rates. Statistical analyses were performed in R software version 4.3.

Results

The meta-analysis included 84 studies covering a diverse geographical scope totaling 641,763 individuals. The pooled prevalence of gaming disorder was 8.6 % (95 % CI: 6.9 %-10.8 %), (I2 = 100 %). Subgroup analysis revealed varying prevalence rates by country, with China reporting the highest rate at 11.7 % (95 % CI: 8.6 %-15.7 %). Meta-regression analysis highlighted an increasing trend in the prevalence of gaming disorder over the years, underscoring the growing impact of digital technologies.

Conclusion

A significant prevalence of gaming disorder among adolescents is observed. With an increasing trend, fostering healthy gaming habits, enhancing awareness, and implementing effective intervention programs are crucial. This emphasizes the importance of global efforts in combating the growing challenge of gaming disorder among adolescents.

Clinical Utility of ICD-11 Clinical Descriptions and Diagnostic Requirements for the Classification of Mental, Behavioral or Neurodevelopmental Disorders: A Systematic Review

Case-controlled field studies, ecological implementation field studies, and qualitative or mixed methodology studies have been conducted to evaluate the clinical utility of the ICD-11 clinical descriptions and diagnostic requirements (ICD-11 CDDR) for the diagnosis of mental disorders. This systematic review sought to analyze and synthesize the clinical utility indices of these guidelines from the perspectives of mental health professionals (MHPs) and patients from different regions of the world. A systematic search was carried out in five databases Science Direct, Google Scholar, PubMed, Web of Science and Scopus. The relevant studies were subjected to explicit eligibility criteria, resulting in 19 included studies. The study characteristics were tabulated, methodological quality was assessed, and findings were summarized using convergent narrative synthesis. The overall findings indicated that the clinical utility of the ICD-11 CDDR was positive for the majority of studies (78.95%) that analyzed a wide range of mental disorders. Analyses at the level of the disorder groups also revealed the same trend. Almost only qualitative or mixed studies have identified negative aspects or obstacles of this diagnostic system. The clinical utility of the ICD-11 CDDR for the diagnosis of mental disorders is supported. Future research could resolve concerns regarding the isolated negative outcomes of ICD-11 CDDR performance. Finally, it is necessary to expand the scope of the training programs for MHPs and policymakers regarding the use of these guidelines in clinical practice.

Prevalence and Risk Factors of Problematic Internet Use among Hungarian Adult Recreational Esports Players

Background: Esports are highly prevalent in modern culture, particularly among young people, and are a healthy hobby for the majority of users. However, there is a possible link between video gaming (including esports) and problematic internet use (so-called internet addiction, IA), mostly involving adolescents. Methods: Here we present an online survey focusing on the prevalence and risk factors of internet addiction among adult esports players. Demographics included age, gender, family type, type of work, working years and daily internet use. Medical conditions associated with IA such as smoking, alcohol and drug intake, hypertension, diabetes, ischemic heart disease, musculoskeletal pain and history of depression were also recorded. Results: Overall, 2313 players including 176 females (7.6%) and 2137 males (92.4%) participated in our online survey. Age distribution was the following: 18−25 years 90.3% (2088/2313), 26−35 years 7.95% (184/2313), 36−45 years 0.86% (20/2313), 46−55 years 0.82% (19/2313), 56−62 years 0.04% (1/2313) and 62 years or older 0.04% (1/2313). Internet addiction was detected in 19.9% of players (461/2313) based on the Problematic Internet Use Questionnaire. In a multivariate analysis internet addiction was significantly associated with age between 18 and 25 (OR: 1.675, p = 0.002), being single (OR = 1.505, p = 0.014), internet use > 6 h daily (OR = 4.338, p < 0.001), having < 3 children (OR: 2.037, p = 0.023) and having secondary employment (OR = 1.789, p = 0.037). Regular alcohol intake (OR = 18.357, p < 0.001) and history of depression (OR= 5.361, p = 0.032) were also strongly correlated with IA. Conclusion: This is the first study from Hungary investigating the prevalence and risk factors of internet addiction among adult esports players. One out of five adult gamers suffered from IA. Our study also draws attention to increased risk within this group and risk factors such as younger age, family status and type of employment.