The association between Emotional Regulation and Internet Gaming Disorder

Lin, Pei-Yun; Lin, Herng Ching; Lin, Pai-Cheng; Yen, Ju-Yu; Ko, Chih–Hung

doi:10.1016/j.psychres.2020.113060

Cited by 30 publications

(16 citation statements)

References 29 publications

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“…In concurrence with the extant literature, the results of criterion-related validity analysis indicated that GADIS-A was negatively associated with life satisfaction (Cudo et al, 2020 ) and social connectedness (Chen et al, 2018 ), and positively associated with depression (Liu et al, 2018 ), anxiety (Bonnaire & Baptista, 2019 ), difficulties in emotion regulation (Lin et al, 2020 ), and impulsivity (Kuss & Lopez-Fernandez, 2016 ). Overall, these findings indicate acceptable criterion-related validity of the GADIS-A.…”

Section: Discussionsupporting

confidence: 57%

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

et al. 2022

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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.

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Section: Discussionsupporting

confidence: 57%

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

et al. 2022

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“…One explanation for this finding may be related to the levels of emotional reactions for each type of PIU. For example, the level of excitement for gaming and smartphone usage may be greater than social media usage; 68 hence, they cause sleep disturbance, whereas social media usage does not.…”

Section: Discussionmentioning

confidence: 99%

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

et al. 2022

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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.

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“…A positive association between impulsivity and IGD was identified by a meta-analysis that included 32 studies (Şalvarlı and Griffiths, 2022). Emotion regulation is defined by the set of cognitive processes that influence emotional responses and is a complex process that encompasses the initiation, inhibition, or modulation of emotional functioning (Lin et al, 2020). A cross-section study revealed that emotion adjustment scores in IGD individuals were significantly lower than in controls (Lin et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

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

Wang

et al. 2022

Front. Psychol.

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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.

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The association between Emotional Regulation and Internet Gaming Disorder

Cited by 30 publications

References 29 publications

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

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

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

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

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