Predicting Internet Addiction in Medical Students by General Self-efficacy, Difficulty in Emotion Regulation, and Resilience
Publish place: Journal of Practice in Clinical Psychology، Vol: 7، Issue: 3
Publish Year: 1398
نوع سند: مقاله ژورنالی
زبان: English
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شناسه ملی سند علمی:
JR_JPCP-7-3_002
تاریخ نمایه سازی: 2 دی 1402
Abstract:
Objective: 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 ۹۶ medical students selected by random sampling method in ۲۰۱۸. 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<۰.۰۵). Additionally, general self-efficacy, difficulty in emotion regulation, and resilience are able to predict ۲۷% 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.
Keywords:
Authors
Leila Salek Ebrahimi
Department of Clinical Psychology, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Gholamreza Ahmadi
Faculty of Psychology & Educational Sciences, Allameh Tabatabaei University, Tehran, Iran.
Abbas Masjedi Arani
Department of Clinical Psychology, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Seyedeh Elnaz Mousavi
Department of Clinical Psychology, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
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