The association between Emotional Regulation and Internet Gaming Disorder

Towards an automated approach for understanding problematic gaming

Introduction

Video games have become increasingly popular worldwide, attracting billions of gamers across diverse demographics. While studies have highlighted their potential benefits, concerns about problematic gaming behaviors have also emerged. Conditions such as Internet Gaming Disorder (IGD) have been recognized by major health organizations, necessitating accurate diagnostic tools. However, existing methods, primarily reliant on self-report questionnaires, face challenges in accuracy and consistency. This paper proposes a novel technological approach to provide gaming behavior indicators, aiming to offer precise insights into gamer behavior and emotion regulation.

Methods

To attain this objective, we investigate quantifiable gaming behavior metrics using automated, unobtrusive, and easily accessible methods. Our approach encompasses the analysis of behavioral telemetry data collected from online gaming platforms and incorporates automated extraction of gamer emotional states from face video recordings during gameplay. To illustrate the metrics and visualizations and demonstrate our method's application we collected data from two amateur and two professional gamers, all of whom played Counter-Strike2 on PC. Our approach offers objective insights into in-game gamer behavior, helping health professionals in the identification of patterns that may be difficult to discern through traditional assessment methods.

Results

Preliminary assessments of the proposed methodology demonstrate its potential usefulness in providing valuable insights about gaming behavior and emotion regulation. By leveraging automated data collection and visualization analysis techniques, our approach offers a more comprehensive understanding of gamer behavior, which could enhance diagnostic accuracy and inform interventions for individuals at risk of problematic gaming behaviors.

Conclusion

Our findings demonstrate the valuable insights obtainable from a tool that collects telemetry data, emotion regulation metrics, and gaming patterns. This tool, utilizing specific indicators, can support healthcare professionals in diagnosing IGD and tracking therapeutic progress, potentially addressing challenges linked to conventional IGD assessment methods. Furthermore, this initial data can provide therapists with detailed information on each player's problematic behaviors and gaming habits, enabling the development of personalized treatments tailored to individual needs. Future research endeavors will focus on refining the methodology and extending its application in clinical settings to facilitate more comprehensive diagnostic practices and tailored interventions for individuals at risk of problematic gaming behaviors.

Cognitive, Metacognitive, Motivational, and Emotional Predictors of the Intensity of Internet Gaming Disorder among Adolescents

Internet gaming disorder (IGD) is multifaceted and can have significant negative consequences. The present study examined the contribution of cognitive, metacognitive, motivational, and emotional factors as predictors for IGD severity. In a cross-sectional study, 703 Iranian adolescents (36.8% females, mean age = 16.98 years [SD = 1.23]) completed an online survey. Hierarchical regression analysis showed that the cognitive, metacognitive, motivational, and emotional factors predicted 7.8%, 17.4%, 1.4%, and 1.9% of the variance in IGD symptoms, respectively. The findings indicated that the cognitive factors including some maladaptive cognitions, such as cognitive salience, regret, and perfectionism, and metacognitive factors including some maladaptive metacognitions (negative metacognitions regarding the uncontrollability of online gaming and negative metacognitions regarding the dangers of online gaming) were significant predictors of IGD severity, highlighting their importance in understanding and predicting problematic gaming behaviors. Although contributing to the variance in IGD, motivational factors (escape, coping, and skill development) and emotional factors including emotion regulation (especially reappraisal) played relatively smaller roles compared to cognitive and metacognitive factors. Of the examined predictive factors, metacognitions were the most important predictor of IGD severity. Exploratory moderator analyses showed significant interactions between three predictors of IGD (reappraisal, negative metacognitions, and cognitive salience) with loneliness, stress, anxiety, and depressive symptoms. Reappraisal was the most frequent predictor and had a significant interaction with these variables. Other predictors independently impacted IGD irrespective of the level of loneliness, stress, anxiety, or depressive symptoms. Based on these findings, special attention to metacognitive, cognitive, emotional, and motivational factors is suggested in the treatment of IGD.

Interplay between Children's Electronic Media Use and Prosocial Behavior: The Chain Mediating Role of Parent-Child Closeness and Emotion Regulation

In the contemporary digital milieu, children's pervasive engagement with electronic media is ubiquitous in their daily lives, presenting complex implications for their socialization. Prosocial behavior, a cornerstone of social interaction and child development, is intricately intertwined with these digital experiences. This relation gains further depth, considering the significant roles of parent-child relationships and emotion regulation in shaping children's social trajectories. This study surveyed 701 families to examine the association between children's electronic media use and prosocial behavior, specifically exploring the mediating roles of parent-child closeness and emotion regulation. Structural equation modeling was employed for the analysis. Children's electronic media use negatively correlated with prosocial behavior, parent-child closeness, and emotion regulation. In contrast, a positive association emerged between parent-child closeness, emotion regulation, and prosocial behavior. Emotion regulation also correlated positively with prosocial behavior. Statistical analyses revealed that parent-child closeness and emotion regulation function as both individual and sequential mediators in the relation between electronic media use and prosocial behavior. The study's analyses reveal that fostering children's prosocial behavior in the digital era requires strong family ties, effective emotional management, and balanced digital exposure, which are pivotal for their comprehensive development.

Sociotropy and video game playing: Massively multiplayer online role-playing games versus other games

INTRODUCTION

Internet Gaming Disorder (IGD) is associated with several psychiatric disorders. Previous research on IGD has predominantly focused on Massively Multiplayer Online Role-playing Games (MMORPGs), considered to be pro-social games as they foster interpersonal relationships necessary for in-game progress. Sociotropy is a personality trait characterized by a cognitive approach to dealing with interpersonal relationships. Individuals with high sociotropy have a strong desire for approval from others. Beck's cognitive theory of depression posits that high sociotropy can lead to depressive symptoms when faced with interpersonal stress. We used the I-PACE model to account for the consequences of distal factors such as sociotropy on the development and maintenance of IGD. The aim of this study was therefore to compare MMORPG players with players of other game genres in terms of sociotropy, social anxiety and depression. We hypothesized that sociotropy could serve as a predictor of IGD, particularly among MMORPG players.

METHODS

A total of 233 French videogame players recruited from specialized internet gaming forums participated in the study via questionnaires. Different scales were used to assess depression and social anxiety symptoms, IGD intensity, and sociotropy and autonomy.

RESULTS & DISCUSSION

MMORPG players reported higher psychological distress than players of other game genres. For all players, sociotropy, rather than autonomy, was found to be a predictor of social anxiety symptoms and IGD intensity. Sociotropy and depression explained IGD intensity only for MMORPG players and not for players of other game genres. The social dimension appears to be more prominent among MMORPG players and could be one of the main personality traits predicting this specific internet gaming disorder. The treatment implications for internet gaming disorder are discussed.

Emotion dysregulation and Internet gaming disorder in young people: Mediating effects of negative affect and metacognitions

BACKGROUND

Recent studies have found that emotion dysregulation, negative affect, and metacognitions about online gaming are risk factors for Internet gaming disorder (IGD). However, few studies investigated the mechanisms underlying these interactions. The present study aimed to explore the relationships between emotion dysregulation and IGD, and the mediating effects of negative affect and metacognitions about online gaming.

METHODS

An online survey was conducted with young people (aged 10-24 years) who played video games. 1768 participants were included in this study. Observed variables, including emotion dysregulation, IGD, depression, anxiety, and metacognitions, were measured with self-report scales. Structural equation modeling (SEM) was used to analyze the relationships among the variables.

RESULTS

The results showed that emotion dysregulation positively predicted IGD through a fully mediated model which included the independent mediating effects of negative affect and metacognitions about online gaming and their sequential mediating effect. The model explained 76.1 % of the variance in IGD.

LIMITATIONS

This was a cross-sectional study which could not infer causality.

CONCLUSIONS

This study emphasizes that negative affect and metacognitions about online gaming mediate the effect of emotion dysregulation on IGD; moreover, metacognition may be a proximal factor of IGD. Thus, improving emotional regulation and modifying maladaptive metacognitions in young people may improve the prevention and treatment of IGD.

Severity identification for internet gaming disorder using heart rate variability reactivity for gaming cues: a deep learning approach

Background

The diminished executive control along with cue-reactivity has been suggested to play an important role in addiction. Hear rate variability (HRV), which is related to the autonomic nervous system, is a useful biomarker that can reflect cognitive-emotional responses to stimuli. In this study, Internet gaming disorder (IGD) subjects' autonomic response to gaming-related cues was evaluated by measuring HRV changes in exposure to gaming situation. We investigated whether this HRV reactivity can significantly classify the categorical classification according to the severity of IGD.

Methods

The present study included 70 subjects and classified them into 4 classes (normal, mild, moderate and severe) according to their IGD severity. We measured HRV for 5 min after the start of their preferred Internet game to reflect the autonomic response upon exposure to gaming. The neural parameters of deep learning model were trained using time-frequency parameters of HRV. Using the Class Activation Mapping (CAM) algorithm, we analyzed whether the deep learning model could predict the severity classification of IGD and which areas of the time-frequency series were mainly involved.

Results

The trained deep learning model showed an accuracy of 95.10% and F-1 scores of 0.995 (normal), 0.994 (mild), 0.995 (moderate), and 0.999 (severe) for the four classes of IGD severity classification. As a result of checking the input of the deep learning model using the CAM algorithm, the high frequency (HF)-HRV was related to the severity classification of IGD. In the case of severe IGD, low frequency (LF)-HRV as well as HF-HRV were identified as regions of interest in the deep learning model.

Conclusion

In a deep learning model using the time-frequency HRV data, a significant predictor of IGD severity classification was parasympathetic tone reactivity when exposed to gaming situations. The reactivity of the sympathetic tone for the gaming situation could predict only the severe group of IGD. This study suggests that the autonomic response to the game-related cues can reflect the addiction status to the game.

Understanding Serial Mediators of Problematic Pornography Use in Pakistani Men and Women

In the current digital environment, satisfying sexual needs via Internet pornography use has the potential to develop into a problem that affects one's psychological health and daily functioning. The aim of this study was to examine potential cognitive and affective factors that could help explain the maintenance and exacerbation of self-defined problematic internet pornography use.

METHODS

280 Pakistani men and women (mean age = 25.40; SD = 5.271, range 18-50) who were current pornography users were recruited through social networking sites (Facebook, Instagram, LinkedIn, WhatsApp groups) to participate in an online study about pathways to problematic pornography use (PPU). Structural equation modeling was used to estimate path analysis coefficients extending from predisposing variables (depression, anxiety, self-esteem, and loneliness) to PPU via the mediating variables of craving, dysfunctional sexual coping, and stimulus-specific inhibitory control.

RESULTS

Craving mediated the relationship between three predisposing variables (depression, anxiety, and self-esteem) and PPU, though not the fourth, namely loneliness. Indirect effects of depression, anxiety, and self-esteem were significantly linked to PPU through two serial mediation pathways: (a) craving and stimulus-specific inhibitory control, and (b) craving and dysfunctional sexual coping.

CONCLUSION

These findings demonstrate that craving, stimulus-specific inhibitory control, and dysfunctional coping serve as important mediators in maintaining and exacerbating the cycle between negative predisposing variables and PPU. These results are interpreted within the general framework of therapeutic interventions that can help develop positive coping skills in individuals seeking to alter self-perceived bothersome or unwanted habits related to pornography use.

Abnormal psychological performance as potential marker for high risk of internet gaming disorder: An eye-tracking study and support vector machine analysis

Individuals with high risk of internet gaming disorder (HIGD) showed abnormal psychological performances in response inhibition, impulse control, and emotion regulation, and are considered the high-risk stage of internet gaming disorder (IGD). The identification of this population mainly relies on clinical scales, which are less accurate. This study aimed to explore whether these performances have highly accurate for discriminating HIGD from low-risk ones. Eye tracking based anti-saccade task, Barratt impulsiveness scale (BIS), and Wong and Law emotional intelligence scale (WLEIS) were used to evaluate psychological performances in 57 individuals with HIGD and 52 matched low risk of internet gaming disorder (LIGD). HIGD group showed significantly increased BIS total (t = −2.875, p = 0.005), attention (t = −2.139, p = 0.035), motor (t = −2.017, p = 0.046), and non-planning (t = −2.171, p = 0.032) scores, but significantly decreased WLEIS emotion regulation score (t = 2.636, p = 0.010) and correct rate of eye tracking anti-saccade task (t = 2.294, p = 0.024) compared with LIGD group. BIS total score was negatively correlated with the WLEIS total (r = −0.473, p < 0.001) and WLEIS emotion regulation (r = −0.366, p < 0.001) scores. A combination of the WLEIS emotion regulation score and the correct rate of anti-saccade task could discriminate HIGD from LIGD with 91.23% sensitivity, 82.69% specificity, and 87.16% accuracy. Participants with higher gaming hours daily were 40 times more likely to be high risk than their counterparts (p < 0.001). Hence, psychological performances were worse in HIGD. A combination of abnormal emotion regulation and response inhibition might be a potential marker to identify HIGD individuals.

Effects of sleep quality on the association between problematic internet use and quality of life in people with substance use disorder

BACKGROUND

Problematic internet use, especially in people with substance use disorder, may negatively affect their quality of life (QoL). However, it is unclear whether sleep quality is a key mediator in the association between problematic internet use and QoL among people with substance use disorder.

AIMS

This study aimed to investigate the relationship between problematic internet use and QoL and how sleep quality may mediate the association between these two variables.

METHOD

Overall, 319 people (85% male) with substance use disorder (mean age 42.2 years, s.d. 8.9) participated in a cross-sectional study in Taiwan. The Smartphone Application-Based Addiction Scale, Bergan Social Media Addiction Scale, Internet Gaming Disorder-Short Form, Pittsburgh Sleep Quality Index and World Health Organization Quality of Life Questionnaire Brief Version were used.

RESULTS

The prevalence of sleep problems was 56%. There were significant and direct associations between sleep quality and two types of problematic internet use, and between sleep quality and different dimensions of QoL. All types of problematic internet use were significantly and negatively correlated with QoL. Mediated effects of sleep quality in relationships between the different types of problematic internet use and all dimensions of QoL were significant, except for problematic use of social media.

CONCLUSIONS

Different types of problematic internet use in people with substance use disorder may be directly associated with reduced QoL. Sleep quality as a significant mediator in this association may be an underlying mechanism to explain pathways between problematic internet use and QoL in this population.

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.

Psychometric evaluation of the Russian version of the Gaming Disorder Scale for Adolescents

Problematic gaming has become an emerging global health issue. Formal recognition of gaming disorder in the ICD-11 is a new opportunity for the discipline to conduct further investigation concerning the psychological consequences of problematic gaming. The present study investigated the psychometric properties and construct structure of the recently developed Gaming Disorder for Scale for Adolescents (GADIS-A), a multi-dimensional instrument that screens for gaming disorder symptoms, among Russian adolescent gamers. The sample comprised 933 adolescent gamers (547 boys and 386 girls) recruited via a web-based platform, using a multistage sampling method. Analysis showed the GADIS-A had very good internal consistency (Cronbach's alpha coefficient = .891; Composite reliability = .89) and adequate test-retest reliability after two weeks (intraclass coefficient  =0.68 with 95% CI [0.61, 0.77]. Exploratory structural equation modeling (ESEM) showed the data fitted well. Measurement invariance testing indicated the GADIS-A was invariant by gender and gaming medium (online vs. offline). As for criterion-related validity, high scores on the GADIS-A positively correlated with scales assessing depression, anxiety, impulsivity, and difficulties in emotion regulation, and negatively correlated with social connectedness and life satisfaction. Using latent profile analysis, four groups of gamers were identified, and problematic gaming was associated with greater mental health problems. The findings indicated that psychological comorbidity (e.g., depression and anxiety) was more prevalent among gamers with higher risk of GD. The findings indicate that GADIS-A is a reliable and valid instrument to assess the symptoms and severity of gaming disorder among Russian adolescents.

SUPPLEMENTARY INFORMATION

The online version contains supplementary material available at 10.1007/s12144-021-02575-w.

Empathy, Social Self-Efficacy, Problematic Internet Use, and Problematic Online Gaming Between Early and Late Adolescence

This study aims to investigate the relationship between empathy, social self-efficacy, problematic Internet use (PIU), and problematic online gaming (POG) and to evaluate how such relationship varies according to the age of the participants. A sample of 1,585 Italian students, both genders, aged 12-20 years, were divided into three groups according to the age filled in these self-report questionnaires: PIU; Game Addiction Scale for Adolescents; Interpersonal Reactivity Index; Scale of Social Self-Efficacy; Strengths and Difficulties Questionnaire. The results allow to confirm that in the Italian context the relationships between the examined constructs change across the three age groups considered in the study. PIU and POG, as well as prosocial behaviors and personal distress, tend to significantly decrease in late adolescence (age 18-20 years); 15-17 years adolescents reported more empathic concern compared with the other groups. PIU and POG are affected by empathy and social-self efficacy in different ways depending on age, suggesting that the two conditions have an at least partially different nature. The different components of empathy seem to play a different role in the development of either PIU or POG confirming the need to separate the components of empathy.