KMID : 1118520210180050408
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Psychiatry Investigation 2021 Volume.18 No. 5 p.408 ~ p.416
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Internet Addiction and Its Associations with Clinical and Psychosocial Factors in Medical Students
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Seo Eun-Hyun
Kim Seung-Gon Lee Sang-Kyu Park Seon-Cheol Yoon Hyung-Jun
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Abstract
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Objective: Excessive internet use has been associated with various psychiatric symptoms and psychosocial factors. This study aimed to investigate the prevalence of internet addiction (IA) and its associations with clinical (depression/social anxiety) and psychosocial (self-esteem/perceived social support) factors in medical students.
Methods: In total, 408 medical students at one university in Korea were included in this study. IA symptoms were assessed with Young¡¯s Internet Addiction Test, and scores of 50 or higher were considered to indicate IA. Participants were asked to complete the Beck Depression Inventory, Social Phobia Inventory, Rosenberg Self-Esteem Scale, and Duke-University of North Carolina Functional Social Support Questionnaire. A logistic regression model was constructed to examine the impact of clinical and psychosocial factors on IA.
Results: Forty-seven participants (11.5%) were identified as having IA. Self-esteem was associated with a lower risk of IA, whereas depression and social anxiety were associated with a higher risk of IA. Depression, social anxiety, low self-esteem, and low perceived social support were found to be significant correlates of IA. Young¡¯s Internet Addiction Test score positively correlated with Beck Depression Inventory and Social Phobia Inventory scores, but negatively correlated with Rosenberg Self-Esteem Scale and Duke-University of North Carolina Functional Social Support Questionnaire scores. Furthermore, the prevalence of IA was highest in first-year medical students.
Conclusion: This study revealed the possible risk and protective factors of IA. Our findings indicate that strengthening self-esteem and reducing depression and social anxiety may contribute to the prevention and management of IA in medical students.
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KEYWORD
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Addiction, Depression, Internet, Self-esteem, Social anxiety, Social support
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