Investigating gaming disorder and individual differences in gaming motives among professional and non-professional gamers: An empirical study

Reliability generalization Meta-Analysis and psychometric review of the Gaming Disorder test (GDT): Evaluating internal consistency

Gaming disorder (GD) is a growing public health issue requiring reliable screening and diagnostic tools. A commonly used tool for assessing GD is the Gaming Disorder Test (GDT). The GDT assesses GD based on International Classification of Diseases 11th Revision (ICD-11) criteria; however, its psychometric testing has been conducted across studies but yet snythesized. This meta-analysis aimed to synthesize psychometric data regarding the GDT globally. Adhering to pre-registration, a comprehensive search across databases identified 17 eligible studies (n=22,000) in 14 languages reporting on the psychometric properties of the GDT, especially its Cronbach's alpha. The pooled Cronbach's alpha was 0.86 (95% CI: 0.83-0.89), indicating excellent internal consistency. Although significant heterogeneity was observed (I2= 98.54%), prediction intervals suggested true outcomes likely shared a positive direction. No moderating effects were found regarding sample characteristics, study quality, or geographical location. The meta-analysis provides robust and quantitative evidence supporting the internal consistency of the GDT across diverse populations. Moreover, qualitative synthesis indicates that the GDT has strong psychometric properties without risk of bias across the analyzed studies, indicating the GDT's ability to assess GD globally. However, the heterogeneity suggests cautious interpretation of the reliability estimates.

Going beyond video game consumption when considering Internet Gaming Disorder

BACKGROUND

Recognizing the crucial importance of understanding the impact of video games on health in today's gaming-dominated world, our study aimed to investigate the relationship between gaming time and Internet Gaming Disorder (IGD). Despite the widespread assumption that a connection exists between both, previous studies have revealed highly variable associations, highlighting significant weaknesses in establishing a robust link.

METHODS

To unravel this complex relationship, we recruited two independent samples of League of Legends players. We combined the collection of self-reported and actual gameplay data, together with assessments of mental health, personality traits, and cognitive abilities.

RESULTS

Surprisingly, none of the gaming variables demonstrated a robust and stable association with IGD, regardless of whether players spent less than or more than 30 hours per week gaming-a threshold suggested by the American Psychiatric Association as a potential indicator of disordered gaming. Notably, mental health factors, such as anxiety, depression and ADHD, emerged as the most influential predictors of IGD.

CONCLUSION

These findings, replicated across two independent samples, challenge the prevailing belief that limiting screen time alone effectively combats IGD. Instead, mental health factors play a crucial role in mitigating risks associated with gaming. Policies focusing solely on restricting screen time are insufficient in reducing the prevalence or symptoms of IGD. Rather, a comprehensive approach that considers mental health and key personality traits must be adopted to safeguard the well-being of individuals engaged in gaming.

Gaming disorder test: Assessing psychometric properties, prevalence, temporal stability, and invariance using a Czech two-time-point longitudinal sample

In 2019, Gaming Disorder (GD) was acknowledged as an official diagnosis by the World Health Organization. The Gaming Disorder Test (GDT) is the most widely used tool to measure GD; however, due to its novelty, various measurement properties are still unexplored, and the number of validated language variants is still limited. The present study is the first to assess the psychometric properties of the Czech version of the GDT. Further, it focuses on its temporal prevalence and stability, gaming genre invariance, and criterion validity. A large-scale sample of adult Czech gamers collected at two points within nine months was analysed - T1 N = 5356; T2 N = 6077; longitudinal sample N = 1430. Confirmatory factor analysis (CFA), structural equation modelling (SEM), and multigroup CFA were employed to assess the measurement invariance. The study confirmed the one-factor structure of the GDT and showed that it is invariant across preferred gaming genres and the time of data collection. It showed a negative relationship with life satisfaction and a positive relationship with anxiety, even when controlling for their mutual relationships. The prevalence in the longitudinal sample was equal to or below 1.9% in each wave, but only 0.5% in the longitudinal sample (hence n = 7 participants fulfilled in both waves the criteria for GD). The study suggests that the Czech version of the GDT has good psychometric properties, including temporal stability and invariance across gaming genres, so it is suitable for the survey type and epidemiological investigation of the ICD-11's Gaming Disorder.

The Role of Self-Esteem in Protecting Against Cyber-Victimization and Gaming Disorder Symptoms Among Adolescents: A Temporal Dynamics Analysis

Previous literature has suggested that victimization is linked to low self-esteem and increases the symptoms of gaming disorder. However, little is known about the intra-individual processes, and the temporal dynamics of cyber-victimization, self-esteem, and gaming disorder symptoms. To address this gap, a three-year longitudinal study was performed using data collected at six different time points from 4206 Chinese adolescents (aged 12-17 years; 50.4% boys). Results of random intercept cross-lagged panel models (RI-CLPMs) indicated that at the within-person level, the fluctuation in self-esteem weakly predicted late cyber-victimization, and the fluctuation of cyber-victimization also weakly predicted late self-esteem. Additionally, the current study identified an interactive effect between self-esteem and gaming disorder symptoms at the within-person level. Fluctuations in self-esteem negatively predicted late gaming disorder symptoms, and vice versa. However, when combining the three variables (i.e., cyber-victimization, self-esteem, and gaming disorder symptoms) into one RI-CLPM, the results did not support the mediation of self-esteem in the relationship between cyber-victimization and gaming disorder symptoms at the within-person level. Moreover, fluctuations in self-esteem negatively predicted late gaming disorder symptoms and cyber-victimization at the within-person level in the RI-CLPM. These findings emphasize the protective role of self-esteem developed against cyber-victimization and gaming disorder symptoms among adolescents.

Investigating the interplay between gaming disorder and functional impairments in professional esports gaming

The relationship between Gaming Disorder (GD) and the experience of functional impairments has received considerable theoretical attention in the recent past and current diagnostic approaches underscore the centrality of functional impairments as a requirement for GD diagnosis. However, there is limited empirical evidence illuminating the interplay between GD and functional impairments, particularly among specific vulnerable groups. The present study seeks to bridge this gap by investigating an English-speaking sample (N = 5198) comprising an age- and gender-matched group of Professional Gamers (PG, n = 2599) and Non-Professional Gamers (NPG, n = 2599) sub-sampled from a larger sample of 192,260 individuals. The results revealed that PG were at a greater risk for GD compared to NPG as the prevalence rate of GD among PG (3.31%) was significantly higher and almost doubled that of NPG (1.73%), with PG further exhibiting higher overall GD symptom-load and weekly time spent gaming compared to NPG. Furthermore, PG reported experiencing significantly higher frequency of gaming-related functional impairments compared to NPG, with the in particular affected areas for both PG and NPG being 'school and/or work', 'physical health', and 'family', with other key differences emerging in relation to other outcomes. Overall, the present findings show that not only GD symptom-load but also some functional impairment is higher in PG compared to NPG which highlights the need to develop and support prevention and intervention strategies for this at-risk population.

The interplay between mental health and dosage for gaming disorder risk: a brief report

The relationship between gaming time and gaming disorder can be moderated by other variables. This study aimed to test the moderating role of mental health. Participants (N = 461) were recruited online. Gaming time was a statistically significant predictor of gaming disorder risk, with an explained variance of 3.3%. The goodness of fit of the model that took into account both moderators (anxiety and depression) improved to 13.9%. The interaction between gaming time and both moderators was significant. The results showed that depression and anxiety acted as moderators of the dosage effect, possibly by amplifying the gratification of playing games and thus contributing to the development of gaming disorder. It may be important in practise, as it seems to place the mental health at the right place, namely among risk factors that can contribute to gaming disorder in combination with a key trigger, which is gaming.

It's not just about how long you play. Indirect gaming involvement and genre preferences in predicting gaming disorder risk: evidence from preregistered studies

Introduction

The strength of the association between gaming involvement and gaming disorder is weak to moderate. Gamers cannot be directly involved in gaming all the time, but how much they are involved in activities indirectly related to gaming during gaming-free time may play an important role. Also, specific game genres may matter. The present investigation focuses on the role of indirect gaming involvement and genres in gaming disorder risk prediction.

Methods

Two pre-registered studies were conducted. Study 1 (N = 205) was conducted online, whereas Study 2 (N = 250) was conducted in a lab. In both cases, participants reported their direct and indirect involvement in gaming (DGI and IGI, respectively) and completed a screening tool that estimates the risk of gaming disorder (Gaming Disorder Test).

Results

Both IGI and DGI were weakly to moderately correlated with gaming disorder (GD) and moderately with each other. The correlations between DGI and GD were similar to those obtained in related studies; the correlation between IGI and GD has not been previously reported. Hierarchical regression that took IGI together with DGI into account showed an increase in the percentage of explained variance, but only in Study 1. Contrary to expectations, IGI did not interact with DGI. As is consistent with previous research, some game genres were found to be more closely related to GD than others: in both studies, this was an RPG; in Study 1, this was also an MMORPG; in Study 2, driving and shooting games also predicted GD risk.

Discussion

Overall, the results clearly indicate that not only gaming time plays a role in GD risk assessment: IGI can also predict it and in some cases may allow for more accurate predictions. Gaming genres once again proved to play a role, but these and similar results should be treated with caution due to the partial lack of repeatability.

Gaming disorder: A summary of its characteristics and aetiology

The emergence, development, and maintenance of gaming disorder (GD) is the result of an interplay between gaming-related factors, individual factors, and environmental factors. None of these alone are sufficient to cause a disordered state, but it is the interactive co-occurrence of all these factors, which in some cases leads to GD. The goal of the present paper is to discuss in detail these three factors based on relevant and recent findings of the literature. Among gaming-related factors, we discuss online vs. offline videogames, the role of game genres, structural characteristics, game design elements, as well as some important monetization techniques. Among individual factors demographic risk factors, personality traits, motivational factors, comorbid psychopathology, genetic predisposition, and neurobiological processes are considered. Finally, among environmental factors we discuss family factors, early life experiences, the role of peers and school-related factors, as well as the broader context of culture including the popularity of esports.

Smartphone Usage before and during COVID-19: A Comparative Study Based on Objective Recording of Usage Data

Most studies that claimed changes in smartphone usage during COVID-19 were based on self-reported usage data, e.g., that collected through a questionnaire. These studies were also limited to reporting the overall smartphone usage, with no detailed investigation of distinct types of apps. The current study investigated smartphone usage before and during COVID-19. Our study used a dataset from a smartphone app that objectively logged users’ activities, including apps accessed and each app session start and end time. These were collected during two periods: pre-COVID-19 (161 individuals with 77 females) and during COVID-19 (251 individuals with 159 females). We report on the top 15 apps used in both periods. The Mann–Whitney U test was used for the inferential analysis. The results revealed that the time spent on smartphones has increased since COVID-19. During both periods, emerging adults were found to spend more time on smartphones compared to adults. The time spent on social media apps has also increased since COVID-19. Females were found to spend more time on social media than males. Females were also found to be more likely to launch social media apps than males. There has also been an increase in the number of people who use gaming apps since the pandemic. The use of objectively collected data is a methodological strength of our study. Additionally, we draw parallels with the usage of smartphones in contexts similar to the COVID-19 period, especially concerning the limitations on social gatherings, including working from home for extended periods. Our dataset is made available to other researchers for benchmarking and future comparisons.