The Predictive Value of Emotional Intelligence for Internet Gaming Disorder: A 1-Year Longitudinal Study

Dang, Della L.; Zhang, Meng Xuan; Leong, Karlas Kin-hei; Wu, Anise M. S.

doi:10.3390/ijerph16152762

Cited by 44 publications

(25 citation statements)

References 81 publications

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“…However, there was a possibility of excessively playing games on the internet as isolation and social distancing severely limit available activities to reduce stress; this in turn accelerates the development of addictive behavior into a ‘later stage’ of addiction [ 35 ]. A longitudinal study on IGD in China used the I-PACE model to examine the relationship between emotional intelligence and depressive symptoms, coping flexibility, and IGD [ 36 ].…”

Section: Introductionmentioning

confidence: 99%

Addictive Internet Gaming Usage among Korean Adolescents before and after the Outbreak of the COVID-19 Pandemic: A Comparison of the Latent Profiles in 2018 and 2020

Kim

Lee

2021

IJERPH

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Since the outbreak of the COVID-19 pandemic, the heightened risk of school closures and mental disorders has made adolescents particularly vulnerable to developing internet gaming disorder (IGD). There have been reports of increased time spent playing games on the internet among adolescents during the pandemic, and the risk of developing IGD may be higher for adolescents in South Korea as the majority of them play games on the internet. However, to the best of our knowledge, no studies have examined the impact of the pandemic on adolescents’ internet gaming behavior in South Korea. This study aimed to explore the different profiles of addictive internet gaming behavior among adolescents before and after the outbreak of the COVID-19 pandemic and examine how the pandemic influenced addictive internet gaming usage and time spent playing games on the internet. Nationally representative survey data from the Ministry of Gender Equality and Family with 3040 and 2906 responses from 2018 and 2020, respectively, were analyzed. Using seven factors of a maladaptive gaming usage scale (tolerance, withdrawal, excessive usage, control impairment, compulsive usage, neglecting daily activity, and gaming despite negative consequence), a four-profile model was selected in both 2018 and 2020 for latent profile analysis: ‘casual’ gamer, ‘moderate’ gamer, ‘potential-risk’ gamer and ‘addictive’ gamer. The results from the two-way ANCOVA showed significant interaction between the cohorts (2018 cohort vs. 2020 cohort) and the four profiles on addictive internet gaming usage (F = 119.747, p < 0.001, η2 = 0.05), including time spent playing internet games on a PC (F = 22.893, p < 0.001, η2 = 0.013), and time spent playing games on a mobile phone (F = 3.245, p < 0.05, η2 = 0.02). The results indicated that the increase of addictive internet gaming usage and gameplay time differed by profile. The results imply that the increase in gameplay time was higher for profiles with higher scores in addictive internet gaming usage for internet games played on a PC while the relationship was not obvious for games played on a mobile phone. Despite the statistical significance, there was only 1.2% to 4.9% of mean difference in addictive internet gaming usage between the 2018 and 2020 cohorts, which implies little clinical significance. While adolescents of the four profiles showed no significant signs of increased addictive internet gaming usage, the addictive gamer profile demonstrated a significant increase in game time after COVID-19.

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Section: Introductionmentioning

confidence: 99%

Addictive Internet Gaming Usage among Korean Adolescents before and after the Outbreak of the COVID-19 Pandemic: A Comparison of the Latent Profiles in 2018 and 2020

Kim

Lee

2021

IJERPH

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“…Individuals with good emotional intelligence have lower risk of getting game online addiction. 19,23 Psychopathologic conditions (ADHD, anxiety, depression, and impulsivity) are the risk factors of online gaming addiction. 34 An individual with low self-control is also at risk having online gaming addiction.…”

Section: Discussionmentioning

confidence: 99%

Predisposing factors associated with online gaming addiction : a systematic review

Nurmagandi

Hamid

2020

JPM

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Excessive online gaming can lead to physical health problems, including poor sleep quality, insomnia, cardiovascular diseases, as well as vision and wrist problems, while such psychosocial issues as stress, anxiety, depression, and decreasing levels of life satisfaction can also occur. This systematic review aims to determine the predisposing factors responsible for online gaming addiction to become reference in the prevention efforts. An article search was systematically conducted through ProQuest, ScienceDirect, Scopus, SAGE Publication, and EBSCOhost databases of 2015 – 2020 based on established inclusion and exclusion criteria, and 14 articles identified using PRISMA guidelines fulfilled the requirements. The review of these articles found that the biological predisposing factors in online gaming addiction consist of dysfunctional impulsivity, male gender, and appetite. The psychological aspects include history of physical and verbal abuse and bullying, lack of attention, stress, anxiety, depression, low level of self-resilience, self-esteem issues, low self-control, low self-efficacy, low life expectancy, motivation, emotional intelligence, and attention from the environment. Meanwhile, the sociocultural aspects are social support and control, length of time and devices used to play online games, types of online games, vulnerable social relations, hyperactivity, dissociation, sensation seeking, adequate daily activities, and active participation in online gaming communities. Predisposing factors can become a protective factor as well as risk factor of individuals in online gaming addiction based on the applied coping mechanisms.

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“…The CFH based on the dual-process theory has been supported by studies conducted in multiple countries: the United States (Kato, 2015d;Southward and Cheavens, 2017;Jones et al, 2019), the United Kingdom (Reed, 2016), Poland (Basiñska, 2015;Kruczek, 2017), Australia (Kato, 2015d), China (Kato, 2015d;Dang et al, 2019), Hong Kong (Ng et al, 2014;Cheng et al, 2015), Japan (Kato, 2012(Kato, , 2015f, 2016b(Kato, , 2017a(Kato, ,b, 2020Kato et al, 2019), India (Kato, 2016b;Mejia-Downs, 2020), Malaysia (Wan Mohd Yunus et al, 2019), and Israel (Ritsner and Ratner, 2006). For example, both abandonment and re-coping explained a unique amount of the variance in depressive symptoms, even after controlling for the effects of coping flexibility as measured by other approaches (i.e., coping repertoire, coping variability, and coping fitness), as well as the effects of typical coping strategies (Kato, 2012).…”

Section: The Dual-process Theory Of Coping Flexibilitymentioning

confidence: 99%

Examination of the Coping Flexibility Hypothesis Using the Coping Flexibility Scale-Revised

Kato

2020

Front. Psychol.

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Coping flexibility, as defined by the dual-process theory, refers to one’s ability to relinquish a coping strategy recognized as ineffective—abandonment—and to devise and implement an alternative and more effective strategy—re-coping. The coping flexibility hypothesis (CFH) dictates that richer coping flexibility produces more adaptive outcomes caused by stress responses, such as reduced psychological and physical dysfunction. We tested the reliability and validity of the Coping Flexibility Scale-Revised (CFS-R) and the CFH using the CFS-R, which was developed to measure coping flexibility. In total, we performed three studies involving 6,752 participants. Study 1 provided the psychometric properties of the CFS-R and tested this factorial structure by a confirmatory factor analysis. Study 2 estimated the validity of the CFS-R by examining the associations between its three subscales and variables that were conceptually similar to them. Study 3 tested the CFH using a longitudinal design after controlling for the effects of typical coping strategies and other types of coping flexibility. Overall, the CFH was supported by the use of the CFS-R, and the findings in Studies 2 and 3 showed that it had acceptable validity and reliability. Our findings implied that abandonment and re-coping can predict reduced depressive symptoms more than other types of theoretical framings for coping flexibility. Additionally, a meta-analysis of the Cronbach’s alphas for all samples in this study (k = 9, N = 6,752) showed that they were 0.87 (95% CI [0.87, 0.88]) for abandonment, 0.92 (95% CI [0.91, 0.92]) for re-coping, and 0.86 (95% CI [0.85, 0.87]) for meta-coping.

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The Predictive Value of Emotional Intelligence for Internet Gaming Disorder: A 1-Year Longitudinal Study

Cited by 44 publications

References 81 publications

Addictive Internet Gaming Usage among Korean Adolescents before and after the Outbreak of the COVID-19 Pandemic: A Comparison of the Latent Profiles in 2018 and 2020

Addictive Internet Gaming Usage among Korean Adolescents before and after the Outbreak of the COVID-19 Pandemic: A Comparison of the Latent Profiles in 2018 and 2020

Predisposing factors associated with online gaming addiction : a systematic review

Examination of the Coping Flexibility Hypothesis Using the Coping Flexibility Scale-Revised

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