Profile of Treatment-Seeking Gaming Disorder Patients: A Network Perspective

Depression, anxiety, and stress in young adult gamers and their relationship with addictive behaviors: A latent profile analysis

BACKGROUND

There is limited research examining latent profiles of gamers based on emotional variables, which has implications for prevention efforts. The study sought to identify young adult gamer profiles based on depression, anxiety, and stress, and to examine differences between the latent profiles in other addictive behaviors (i.e., tobacco, alcohol, cannabis, illegal substance use, gaming, and gambling).

METHODS

A total of 1209 young adults (Mage = 19.37, SD = 1.62; 55.3%males) reported past-year gaming. A latent profile analysis (LPA) was performed to identify distinct profiles, and a set of ANOVA and chi-square analyses characterized the profiles in terms of sociodemographic, addictive behaviors, and emotional variables.

RESULTS

LPA suggested a three-profile solution: profile 1 (n = 660, 'low emotional distress'), profile 2 (n = 377, 'moderate emotional distress'), and profile 3 (n = 172, 'high emotional distress'). Participants with 'moderate' and 'high emotional distress' were mostly women, showed greater gaming severity, higher prevalence of past-month substance use (i.e., tobacco and illegal drugs), and greater consequences of alcohol use.

LIMITATIONS

The cross-sectional nature of the study and sample being university students.

CONCLUSION

Findings revealed three distinct profiles of gamers, which differed in emotional, gaming, and substance use severity. Transdiagnostic prevention programs have the potential to provide significant benefits to college students by addressing the core processes (e.g., emotion regulation) that underlie substance use and gaming.

The Predictive Role of Tolerance and Health Problems in Problem Gambling: A Cross-Sectional and Cross-Lagged Network Analyses

The existing symptomatic networks of problem gambling are all based on cross-sectional data. Thus, there is a need to explore longitudinal symptom networks of problem gambling. Moreover, the replicability of cross-sectional symptom networks can be limited; therefore, further research should assess the convergence between cross-sectional networks of problem gambling symptoms. The present study aimed (i) to examine cross-sectional networks of problem gambling symptoms and evaluate their replicability and (ii) to examine a longitudinal cross-lagged network of problem gambling symptoms. The study included a representative sample of young adult gamblers (born between 1984 and 2000) from the first two waves of the Budapest Longitudinal Study (original sample: N = 2777; final sample: N = 335). The Problem Gambling Severity Index was used to assess symptoms of problem gambling. Cross-sectional symptom networks showed differences in the centrality of nodes. Correlations between the two cross-sectional networks were low in the presence vs. absence of edges, rank order of edge weights, and centrality estimates. However, network invariance tests indicated non-significant differences between them. The cross-lagged network revealed that the symptoms of tolerance and health problems could predict the subsequent presence of multiple problem gambling symptoms. Overall, limited evidence demonstrated the replicability of cross-sectional symptom networks of problem gambling. Future research needs to explore the utility of cross-sectional networks of problem gambling and assess more precisely causal relationships between problem gambling symptoms by distinguishing within- and between-subject effects.

Roles for Alexithymia, Emotion Dysregulation and Personality Features in Gambling Disorder: A Network Analysis

Although there is a growing interest in exploring the specific role of both emotional regulation processes and alexithymia in gambling disorder (GD), evidence remains scarce. In order to delve deeper into the complex interactions between these factors, the present study aimed at exploring a network of the core GD-related features, including GD symptomatology and severity, emotion dysregulation, alexithymia, and personality features. The sample included N = 739 treatment-seeking patients with GD (691 men and 48 women), aged 18-78 years (mean age = 39.2, SD = 13.2). The DSM-5 diagnostic criteria were assessed in, and the South Oaks Gambling Screen, Difficulties in Emotion Regulation Scale (DERS), and Temperament and Character Inventory-Revised were administered to, participants. A network analysis was conducted to reveal inter-relationships between these elements. Three nodes related to emotion dysregulation showed the most critical position in the whole network of the present study: "lack of emotional awareness", "non-acceptance of emotional responses", and "difficulties engaging in goal-directed behaviors". When analyzing emotional dysregulation using the different DERS subscales, two independent clusters were identified. One cluster encompassed alexithymia dimensions ("lack of awareness" and "lack of clarity"), while the other cluster included all other emotion-dysregulation dimensions. Identification of the emotion-dysregulation- and GD-related features with the highest centrality/linkage may be particularly useful for developing valid measurement tools and precise management plans for individuals with GD.

Relationships Between Gaming Disorder, Risk Factors, and Protective Factors Among a Sample of Chinese University Students Utilizing a Network Perspective

Research has demonstrated that some risk and protective factors of gaming disorder (GD) have been identified. However, the interaction of GD with risk and protective factors has rarely been examined from a network analysis perspective. Therefore, the present study examined the relationships between GD, risk factors (i.e., social anxiety and fear of missing out), and protective factors (i.e., resilience, authenticity, and family closeness) utilizing a network analysis approach among a sample of Chinese university students. A cross-sectional study with 1364 participants was performed using the Gaming Disorder Test, the short version of Social Interaction Anxiety Scale (SIAS), the Chinese Trait-State Fear of Missing Out Scale (T-SFoMOSC), the Brief Resilience Scale (BRS), the Authenticity Scale, and a single item assessing family closeness. Social anxiety, FoMO, and two factors of authenticity (i.e., self-alienation and accepting external influence) had positive relationship with GD, while resilience, authentic living, and family closeness had negative relationship with GD. Social anxiety was identified as the core node in the domain-level network. The item "continuation or escalation of gaming" (gd3) and the item "gaming problems" (gd4) constituted the highest edge weight in the facet-level network. The network comparison demonstrated there were no significant differences in relation to network structures and global strengths between gender. The findings suggest bivariate relationships among GD, risk factors (i.e., social anxiety and fear of missing out), and protective factors (i.e., resilience, authenticity, and family closeness). Interventions for GD must be considered through preventing risk factors and increasing protective factors including improving the gaming motivation and maladaptive cognition to decrease negative emotion (e.g., social anxiety and FoMO), enhancing resilience, authentic living and parent-child relationship, as well as decreasing self-alienation and accepting external influence.

Supplementary Information

The online version contains supplementary material available at 10.1007/s11469-023-01049-3.

Symptoms of internet gaming disorder and depression in Chinese adolescents: A network analysis

The current study aimed to investigate comorbidity among symptoms of depression and internet gaming disorder (IGD) utilizing symptom network analysis in a sample of Chinese adolescents. A total of 1,362 Chinese adolescents (Mean age = 15.19 ± 1.67; range 13-21; 39.79% female, 56.02% male, 4.19% not disclosed) were recruited from 11 local secondary schools between June and July 2020. Symptoms of depression and IGD were assessed by the 7-item DASS-21 depression subscale and the 9-item Internet Gaming Disorder Scale. We conducted network analysis to estimate network models and the most central symptoms of depression and IGD and computed a combined network model of both depression and IGD symptoms to find bridge symptoms and illustrate the comorbidity between depression and IGD. We found that feeling 'Worthless', 'Meaningless', and 'Down-hearted' were identified as the most central symptoms of depression, whereas 'Preoccupation' and 'Tolerance' were the two most central symptoms of IGD. The bridge symptoms in the combined network model were 'Gaming for escape or mood relief' from the IGD cluster and 'No initiative' and 'Down-hearted" from the depression cluster. The current study was the first to investigate the relationship between depression and IGD symptoms among adolescents utilizing a symptom network perspective. Also, it highlighted key bridge symptoms in understanding how IGD and depression contribute to each other.

Personality traits and their role as risk modifiers in gaming disorder and internet use disorders

PURPOSE OF REVIEW

After its initial recognition in the DSM-5, Gaming Disorder has now officially been included as a mental disorder in the ICD-11 as a behavioral addiction. In the past decades, research on this phenomenon has increased and in particular theories on its etiopathology have been suggested. In that respect, underlying factors, including neurobiological, social, and psychological factors, have been described. One commonly discussed etiological factor is supposed in specific personality traits. Knowing more about underlying personality factors of Gaming Disorder and other subtypes of internet use disorders would allow for a construction of more sophisticated etiological models, tailored prevention approaches, and would affect the specificity of treatment strategies. This overview provides information on current research on the role of the Big Five personality traits in Gaming Disorder as potential risk modifiers and maintaining factors.

RECENT FINDINGS

Research has especially identified high neuroticism and low conscientiousness as correlates of Gaming Disorder. Yet, results based on prospective studies are lacking largely, although there is the first evidence that personality traits might not only act as risk modifying factors but could also be influenced by Gaming Disorder.

SUMMARY

Suggestions for future research and the need for a more pronounced perspective taking into account the changing dynamics of personality are presented in this contribution. Addressing personality traits in treatment programs could be a promising approach in preventing patients from premature treatment termination and later relapse.

Exploring Internet gaming disorder: an updated perspective of empirical evidence (from 2016 to 2021)

BACKGROUND AND AIMS

Since the acceptance of Internet gaming disorder (IGD) as a "disorder due to addictive behaviors", research has proliferated exponentially. The present review focuses on the conceptualization of IGD, its diagnosis and assessment, associated factors and existing prevention and treatment plans to address it.

RESULTS AND CONCLUSIONS

The discrepancies between the diagnostic criteria for IGD proposed by the two central diagnostic entities, as well as the questioning of their clinical validity, have generated multiple proposals for the diagnosis and psychometric evaluation of IGD. Likewise, there have been numerous suggestions to prevent this pathology, with the involvement of governments, the gaming industry and health institutions. Finally, multiple treatment plans have been proposed, both pharmacological and psychological, although only the efficacy of cognitive behavioral therapy has been tested. It is essential, therefore, to delve deeper into this disorder by addressing the central limitations of the current literature.