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

Granero, Roser; Fernández‐Aranda, Fernando; Demetrovics, Zsolt; Ayala-Rojas, Rocío Elena; Gómez-Peña, Mònica; Moragas, Laura; Jiménez‐Murcia, Susana

doi:10.1007/s10899-021-10079-2

Cited by 8 publications

(7 citation statements)

References 97 publications

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“…Yuan et al ( 2022 ) also found that preoccupation, gaming despite harms, and loss of control were the network central nodes. In addition, global psychological distress may be the important node among patients with treatment-seeking GD (Granero et al, 2021 ). In addition, the stronger edge of trait-FoMO and state-FoMO may also emphasize the two natures of FoMO including personal characteristics and context properties.…”

Section: Discussionmentioning

confidence: 99%

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

Niu

Song³

et al. 2023

Int J Ment Health Addiction

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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.

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Section: Discussionmentioning

confidence: 99%

“…In addition, Yuan et al ( 2022 ) reported that preoccupation, gaming despite harms, and loss of control were core symptoms of IGD among Macau university students using network analysis. Psychological distress as one of the core symptoms may effectively identify individuals with GD seeking treatment (Granero et al, 2021 ) .…”

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confidence: 99%

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

Niu

Song³

et al. 2023

Int J Ment Health Addiction

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“…As a final thought, it might well be that there are differences among treatment seekers in terms of their personality traits. There is at least some preliminary evidence for this possibility [28 ▪▪ ] and this might explain core issues like differences in motivation for treatment, compliance, and long-term recovery. Specific treatment programs for patients suffering from Gaming Disorder and other internet use disorders have been developed and, at least in some cases, their efficacy has been investigated (e.g., [13,29]).…”

Section: Future Perspectives and A Need For Advanced Researchmentioning

confidence: 99%

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

Müller

Dreier

Wölfling

2022

Current Opinion in Psychiatry

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Purpose of reviewAfter 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 findingsResearch 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.

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“…This framework conceptualizes mental disorders as a system of causally interrelated symptoms. The network approach can identify symptoms strongly linked to other symptoms that have high importance and centrality in a network (Granero et al, 2021 ). Therefore, the network approach can generate hypotheses regarding symptoms that play important roles in the development or progression of mental disorders (Contreras et al, 2019 ; Fried et al, 2017 ).…”

Section: Introductionmentioning

confidence: 99%

“…Multiple studies have used the network approach to examine addictive behaviors, for example, by exploring symptom networks of addictive behaviors (Conlin et al, 2022 ; Huth et al, 2022 ; Rhemtulla et al, 2016 ; Svicher et al, 2021 ), and co-occurrence patterns or risk factors of addictive disorders (Anker et al, 2017 ; Baggio et al, 2018b , 2018c ; Huang et al, 2021 ; Xia et al, 2021 ). Regarding problem gambling, some studies have also attempted to explore networks of risk characteristics among individuals with GD by considering sociodemographic factors, age of onset and duration of GD, personality traits, addictive behaviors, and psychological distress (Granero et al, 2021 ). However, only a few of the existing network analytical papers investigated the centrality of symptoms of problem gambling (Baggio et al, 2016 ; Baggio et al, 2018a ; Rozgonjuk et al, 2021 ; Zarate et al, 2022 ).…”

Section: Introductionmentioning

confidence: 99%

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

et al. 2023

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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.

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

Cited by 8 publications

References 97 publications

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

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

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

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

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