The role of social support on emotion dysregulation and Internet addiction among Chinese adolescents: A structural equation model

Mo, Phoenix K. H.; Chan, Vicky; Chan, Samuel W. K.; Lau, Joseph T. F.

doi:10.1016/j.addbeh.2018.01.027

Cited by 103 publications

(76 citation statements)

References 64 publications

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“…Many previous studies have indicated males are more likely than females to experience PIU (e.g., Lam et al, 2009;Morrison & Gore, 2010;Salehi et al, 2014). However, a few studies have reported that females also experience PIU (Afrin et al, 2017;Mo et al, 2018;Yen, Ko, Yen, Wu, & Yang, 2007). In the present study, the prevalence of PIU was slightly higher among males than females (53% vs. 47%).…”

Section: Discussionsupporting

confidence: 40%

“…Among these, gender plays a significant role in terms of risk for IA (Lam et al, 2009;Morrison & Gore, 2010;Salehi, Khalili, Hojjat, Salehi, & Danesh, 2014). Although most studies indicate that males are more likely to experience IA symptoms, some research indicates that females are also prone to developing problems as a consequence of excessive internet use (Afrin et al, 2017;Mo, Chan, Chan, & Lau, 2018). Other factors associated with IA and PIU have included being preparatory, high school and university students (Afrin et al, 2017;Bener & Bhugra, 2013;Islam & Hossin, 2016;Lam et al, 2009;Ni, Yan, Chen, & Liu, 2009;Uddin et al, 2016), living in a city (Ni et al, 2009), low physical activity (Afrin et al, 2017;Bener et al, 2018;Lam et al, 2009), low sleep duration (Afrin et al, 2017;Bener et al, 2018;Morrison & Gore, 2010), being a smoker (Lam et al, 2009;Salehi et al, 2014), the age of first exposure to the internet, lower self-efficacy of internet in abstaining from internet use (Lin et al, 2011;Ni et al, 2009), more time spent using the internet on a daily basis (Islam & Hossin, 2016;Salehi et al, 2014), and using the internet for social networking, watching online videos, and viewing websites with sexual content Lin et al, 2011;Morrison & Gore, 2010;Simcharoen et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

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Problematic internet use in Bangladeshi students: The role of socio-demographic factors, depression, anxiety, and stress

Mamun

Hossain

Siddique

et al. 2019

Asian Journal of Psychiatry

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Section: Discussionsupporting

confidence: 40%

Section: Introductionmentioning

confidence: 99%

Problematic internet use in Bangladeshi students: The role of socio-demographic factors, depression, anxiety, and stress

Mamun

Hossain

Siddique

et al. 2019

Asian Journal of Psychiatry

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“…Therefore, the strong desire to reuse internet is a type of emotion regulation. This explanation is consistent with Akbari (2017), Mo et al, (2018), Spade & Marino 2017, and Mahapatraa & Sharmab 2018investigations.…”

Section: Discussionsupporting

confidence: 87%

“…There are some common features between substance use disorders and IA. Studies revealed the odds of difficulties in emotion regulation or dysfunctional emotion regulation strategies are greater in students with severe IA (Mo, Chan, Chan, Lau, 2018;Spade & Marino, 2017).…”

Section: Introductionmentioning

confidence: 99%

Predicting Internet Addiction in Medical Students by General Self-efficacy, Difficulty in Emotion Regulation, and Resilience

Ebrahimi

Ahmadi

Arani

et al. 2019

Pract. Clin. Psychol.

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The present study aimed to predict internet addiction based on general self-efficacy, difficulty in emotion regulation, and resilience in medical students. Methods: This was a cross-sectional study. The statistical population included all medical students of Shahid Beheshti University of Medical Sciences. The research sample consisted of 96 medical students selected by random sampling method in 2018. Data collection was performed by Sherer General Self-Efficacy Scale, Gramat's and Roemer's Difficulties in Emotion Regulation Scale, Connor-Davidson Resilience Scale, and Young's Internet Addiction test. Results: To analyze the obtained data, Pearson's correlation coefficient and the stepwise regression model were used. The obtained results suggested a significant relationship between internet addiction and general self-efficacy, difficulty in emotion regulation, and resiliency (P<0.05). Additionally, general self-efficacy, difficulty in emotion regulation, and resilience are able to predict 27% of internet addiction variance in medical students. Conclusion: To prevent and reduce the harm of internet addiction in students in stressful events, they should be trained to improve their resilience, self-efficacy, and emotion regulation skills.

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“…It is not possible to find conclusive results in intersexual comparisons on Internet addiction. There are studies in which gender differences were not found (Mo, Chan, Chan & Lau, 2018;Stavropoulos et al, 2018) or in which findings in favor of male participants were observed (Li et al, 2015). For example, it was reported by Li et al (2015) that the male participant's use of virtual gambling, virtual games, and virtual pornography was higher; thus, Internet addiction in men are seen more than women.…”

Section: Discussionmentioning

confidence: 99%

Internet Addiction: Relationship with Perceived Freedom in Leisure, Perception of Boredom and Sensation Seeking

Kara¹

2019

HES

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This study aimed to examine the university student’s internet addiction, perceived freedom in leisure, leisure boredom, and sensation seeking level with regard to gender and physical activity participation, and to investigate the relationship between internet addiction, perceived freedom in leisure, leisure boredom and sensation seeking. The participants who were chosen using a convenience sampling method filled the “Short Form of Young’s Internet Addiction Test” (YIAT-SF), Perceived Freedom in Leisure Scale (PFLS), “Leisure Boredom Scale (LBS), and “Sensation Seeking Scale” (SSS). T-test, MANOVA, ANOVA and correlation analysis were used to analyze the data. T-test results indicated there were no significant differences in the mean scores of “YIAT-SF” with respect to gender (p> 0.05). However, analysis revealed significant differences in the mean scores of “YIAT-SF” with regard to not regularly physical activity participation. There were significant differences in the mean scores of “PFLS” in favor of men participants and regularly physical activity participants (p<0.05). Gender and regularly physical activity participation were significant of "LBS” (p<0.01) in favor of women participants (p<0.05). Similarly, gender were significant of “SSS” (p<0.01) on the all sub-dimensions in favor of men participants (p<0.05). However, there were no significant differences in the mean scores of regularly physical activity participation.

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The role of social support on emotion dysregulation and Internet addiction among Chinese adolescents: A structural equation model

Cited by 103 publications

References 64 publications

Problematic internet use in Bangladeshi students: The role of socio-demographic factors, depression, anxiety, and stress

Problematic internet use in Bangladeshi students: The role of socio-demographic factors, depression, anxiety, and stress

Predicting Internet Addiction in Medical Students by General Self-efficacy, Difficulty in Emotion Regulation, and Resilience

Internet Addiction: Relationship with Perceived Freedom in Leisure, Perception of Boredom and Sensation Seeking

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