2021
DOI: 10.1007/s11469-021-00573-4
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Online Gaming Addiction and Depressive Symptoms Among Game Players of the Glory of the King in China: the Mediating Role of Affect Balance and the Moderating Role of Flow Experience

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Cited by 11 publications
(6 citation statements)
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“…The IGA scale was compiled by Chinese scholars, which used Chinese college students as samples and adopted an event-related brain potential method to identify objective electrophysiological indexes that could distinguish IGA users from other Internet users. The reliability and stability of the scale for Chinese young people have been proven by reliability and validity tests ( 20 , 21 ).…”
Section: Methodsmentioning
confidence: 99%
“…The IGA scale was compiled by Chinese scholars, which used Chinese college students as samples and adopted an event-related brain potential method to identify objective electrophysiological indexes that could distinguish IGA users from other Internet users. The reliability and stability of the scale for Chinese young people have been proven by reliability and validity tests ( 20 , 21 ).…”
Section: Methodsmentioning
confidence: 99%
“…Globally, about 10% of people will experience depression at some time in their life [22]. The relationships between depression and IGD, technology addictions, and addictive behaviour have been established again and over again [23][24][25][26][27][28][29][30][31]. Addictive behaviours are frequently understood as external attempts to self-regulate and decrease undesirable feelings and emotional distress, which may work for a while, but it can eventually become excessive [32,33].…”
Section: Depression and Igdmentioning
confidence: 99%
“…Considering the potential harmful outcomes of both digital addiction and depression, researchers have so far paid significant attention to the relationship between digital addiction and depression. Indeed, several studies revealed strong associations between depression and internet addiction ( Demir and Kutlu, 2016 ; Hoare et al, 2017 ; Lee et al, 2019 ; Marzilli et al, 2020 ), smartphone addiction ( Sohn et al, 2019 ; Chang et al, 2022 ; Peng et al, 2022 ), social media addiction ( Donnelly and Kuss, 2016 ; Al Mamun and Griffiths, 2019 ; Ho, 2021 ; Foroughi et al, 2022 ), and video game addiction ( Krossbakken et al, 2018 ; Cudo et al, 2022 ; Hu et al, 2022 ; Zhou et al, 2022 ).…”
Section: Introductionmentioning
confidence: 99%