Study on Causes and Strategies of Online Game Addiction among College Students

Qin, Xuemei; Nan, Hua

doi:10.1109/icmult.2010.5630987

Cited by 4 publications

(5 citation statements)

References 3 publications

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“…The investigation also established that flow functions as a partial mediator in the link between neurotic personality traits and the excessive consumption of short videos, aligning with earlier studies (Qin, 2020) and supporting Hypothesis 3. Individuals with neuroticism are more susceptible to emotional instability and tend to have stronger and more intense emotional responses .…”

Section: Mediating Role Of Self-control and Flowsupporting

confidence: 86%

The Influence of Neurotic Personality Traits on Excessive Short Video Usage

Gong

2024

IJPS

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This study focuses on the influence of neuroticism on the tendency to consume a high amount of short videos, revealing the internal flow as well as paths that lead to it. The study used a cohort of 513 undergraduates and employed tools such as the Chinese Big Five Personality Inventory (in the brief form), the Short Video Addiction Scale, the Flow Experience Scale, and the Brief Self-Control Scale. Findings from this research underscore that: - The loading of neuroticism on the overuse of short videos are significantly positive; - The effect of neuroticism on the overindulgence of short video content acts through two routes: First, an indirect path of self-control and flow, and second, a serial mediation path between self-control and flow. The comprehensive analysis explains excessive consumption of short video content that gives birth to the guidance on strategies of prevention and correction that will be aimed at college students. This thoughtful analysis adds value to the discussion related to digital behaviors and their psychological roots.

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Section: Mediating Role Of Self-control and Flowsupporting

confidence: 86%

The Influence of Neurotic Personality Traits on Excessive Short Video Usage

Gong

2024

IJPS

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“…In recent years, the technological developments that have been experienced and the convenience of accessing technological devices (computer, tablet, and phone) accordingly constitute a great obstacle for the students to achieve a healthy education in the education process by increasing their addiction on digital games (Gürcan et al 2008). Excessive and inappropriate use of computers and the internet by the students in school-age can cause negative effects on social relations and adversely affect both academic and personal development (Qin & Nan, 2010;Harris, 2001). In the literature game addiction has been described as an impulse control disorder characterized by symptoms such as "the inability to control the time spent on game-playing", "a loss of interest in other activities", "continuing to play despite the adverse effects" and "feeling psychologically deprived when not being able to play" (Yalçın Irmak, & Erdoğan, 2016;Yalçın Irmak, & Erdoğan, 2015).…”

Section: Introductionmentioning

confidence: 99%

“…In the literature game addiction has been described as an impulse control disorder characterized by symptoms such as "the inability to control the time spent on game-playing", "a loss of interest in other activities", "continuing to play despite the adverse effects" and "feeling psychologically deprived when not being able to play" (Yalçın Irmak, & Erdoğan, 2016;Yalçın Irmak, & Erdoğan, 2015). According to Qin & Nan (2010), there are ten standard rules for diagnosing symptoms of game addiction:  Having strong request or impulsion for internet usage,  Dissatisfying the time of internet usage,  Eliminating displeasure and worry once using internet,  Feeling discomfort in case of stopping,  Concealing own frequent online conducts from relatives and friends,  Regarding online as more important behavior than study,  Spending much money on internet usage,  Giving up many other hobbies due to internet usage,  Remembering internet after stopping internet usage,  Having alienated and disappointed sensations without using internet (Qin & Nan, 2010).…”

Section: Introductionmentioning

confidence: 99%

Analysis of Loneliness Levels and Digital Game Addiction of Middle School Students According to Various Variables

Ekinci

Yalçın²,

Ayhan³

2019

WJE

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The aim of this study was to examine the loneliness levels of students at the middle school level and their digitalgame addictions in terms of various variables. The study group consisted of 404 volunteer students in 5th-8th gradein Kutahya, Turkey. As data collection tools, "Digital Game Addiction Scale", developed by Lemmens et al. (2009)and "UCLA Loneliness Scale" developed by Russell et al. (1980) were used. The SPSS package program was usedfor the analysis of the data. According to research findings, it was found that there was a statistically significantdifference between the levels of digital game addiction and loneliness according to participation status to sportsactivities (p<0,05). Moreover, it was found that the levels of both loneliness and digital game addiction of theparticipants to sports activity were lower than non-participating. When gender and age variables were examined, itwas determined that there was a statistically significant difference between digital game addiction, gender, and age(p<0,05), whereas there was no statistically difference between loneliness level and both variables (p>0,05). Inaddition, it was determined that there were a moderate level and positive relationship between the level of lonelinessand digital game addiction of middle school students.

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“…This study used the Short Video Addiction Scale for College Students, which was developed by Qin (2020). This scale consists of 14 items covering four dimensions: withdrawal (five items), avoidance (three items), loss of control (four items), and inefficacy (two items).…”

Section: Measures Short Video Addiction Scalementioning

confidence: 99%

Effect of short video addiction on the sleep quality of college students: chain intermediary effects of physical activity and procrastination behavior

Zhao,

Kou

2024

Front. Psychol.

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IntroductionThe purpose of this study was to examine the impact of short video addiction on college students' sleep quality and to elucidate the mechanism underlying this relationship. Thus, we examined the correlation between short video addiction and sleep quality and analyzed the roles of physical activity and procrastination.MethodsThe Short Video Addiction Scale, Pittsburgh Sleep Quality Index, Aitken Procrastination Inventory, and Physical Activity Rating Scale were administered to 337 college students. Data were analyzed using SPSS 27.0. Pearson's correlation analysis and mediation analysis using the bootstrapping test were performed for the standard method bias test.Results(1) Overall, 25.2% of college students had problems with sleep quality (indicated by a PSQI score ≥ 8). (2) Short video addiction score is positively correlated with college students' sleep quality score; procrastination score was positively associated with both short video addiction score and sleep quality score, and physical activity score was negatively associated with them. (3) Short video addiction significantly positive predicted sleep quality (β = 0.458, P < 0.001), a significant negative predictive effect on physical exercise (β = −0.183, P < 0.001), and a significant positive effect on procrastination behavior (β = 0.246, P < 0.001). After physical exercise and procrastination behavior were entered into the regression equation, short video addiction and procrastination were significantly positive predictors of sleep quality, and physical activity was significantly negative predictor of sleep quality. (4) After accounting for the variables of age, gender, and grade, physical activity and procrastination behaviors independently mediated the association between short-video addiction and sleep quality. Physical activity and procrastination behavior acted as chain mediators in the association between short video addiction and sleep quality, with a chain mediation effect percentage of 1.04%. Short video addiction directly affects college students' sleep quality, indirectly through physical activity and procrastination behavior.

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Study on Causes and Strategies of Online Game Addiction among College Students

Cited by 4 publications

References 3 publications

The Influence of Neurotic Personality Traits on Excessive Short Video Usage

The Influence of Neurotic Personality Traits on Excessive Short Video Usage

Analysis of Loneliness Levels and Digital Game Addiction of Middle School Students According to Various Variables

Effect of short video addiction on the sleep quality of college students: chain intermediary effects of physical activity and procrastination behavior

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