ArticlePsychiatry investigation2021
Internet Addiction and Its Associations with Clinical and Psychosocial Factors in Medical Students.
Article in Psychiatry investigation, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 22 citations in OpenAlex.
- Depression, anxiety, stress symptoms among overweight and obesity in medical students, with mediating effects of academic burnout and internet addiction.Scientific reports · 2025Article
- Associations between cognitive disengagement syndrome, Internet addiction, and Internet gaming disorder among medical students - A cross-sectional study.Industrial psychiatry journal · 2024Article
- Article
- Internet addiction, social phobia, substance abuse, and depression in the university setting: a cross-sectional study in the southern region of Morocco.Frontiers in psychology · 2024Article
- Psychosocial Factors Influencing Quality of Life Among Medical Students.Psychiatry investigation · 2023Article
- Emotional State of Young Men in Relation to Problematic Internet Use.International journal of environmental research and public health · 2022Article
- Ego-resiliency moderates the risk of depression and social anxiety symptoms on suicidal ideation in medical students.Annals of general psychiatry · 2022Article
- Internet Addiction in Socio-Demographic, Academic, and Psychological Profile of College Students During the COVID-19 Pandemic in the Czech Republic and Slovakia.Frontiers in public health · 2022Article
Corrections and comments
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Authors and funding
5 authors at 3 institutions in 1 country.
Funding
Abstract
objectiveExcessive 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.
methodsIn 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.
resultsForty-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.
conclusionThis 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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