Display options
Cite
Seo EH, Kim SG, Lee SK, et al. Internet Addiction and Its Associations with Clinical and Psychosocial Factors in Medical Students. Psychiatry Investig. 2021;18(5):408-416doi: 10.30773/pi.2020.0405.
Seo, E. H., Kim, S. G., Lee, S. K., Park, S. C., & Yoon, H. J. (2021). Internet Addiction and Its Associations with Clinical and Psychosocial Factors in Medical Students. Psychiatry investigation, 18(5), 408-416. https://doi.org/10.30773/pi.2020.0405
Seo, Eun Hyun, et al. "Internet Addiction and Its Associations with Clinical and Psychosocial Factors in Medical Students." Psychiatry investigation vol. 18,5 (2021): 408-416. doi: https://doi.org/10.30773/pi.2020.0405
Seo EH, Kim SG, Lee SK, Park SC, Yoon HJ. Internet Addiction and Its Associations with Clinical and Psychosocial Factors in Medical Students. Psychiatry Investig. 2021 May;18(5):408-416. doi: 10.30773/pi.2020.0405. Epub 2021 Apr 30. PMID: 33910324; PMCID: PMC8169337.
Copy Download .nbib Format: NLM
Share it on

Psychiatry Investig. 2021 May;18(5):408-416. doi: 10.30773/pi.2020.0405. Epub 2021 Apr 30.

Internet Addiction and Its Associations with Clinical and Psychosocial Factors in Medical Students.

Psychiatry investigation

Eun Hyun Seo, Seung-Gon Kim, Sang-Kyu Lee, Seon-Cheol Park, Hyung-Jun Yoon

Affiliations

  1. Premedical Science, College of Medicine, Chosun University, Gwangju, Republic of Korea.
  2. Department of Psychiatry, College of Medicine, Chosun University, Gwangju, Republic of Korea.
  3. Department of Psychiatry, College of Medicine, Hallym University, Chuncheon, Republic of Korea.
  4. Department of Psychiatry, Hanyang University Guri Hospital, Guri, Republic of Korea.

PMID: 33910324 PMCID: PMC8169337 DOI: 10.30773/pi.2020.0405

Abstract

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.

Keywords: Addiction; Depression; Internet; Self-esteem; Social anxiety; Social support

References

  1. Cyberpsychol Behav Soc Netw. 2014 Nov;17(11):720-8 - PubMed
  2. Asian J Psychiatr. 2018 Jan;31:2-7 - PubMed
  3. Med Educ. 1999 Apr;33(4):243-50 - PubMed
  4. Acad Med. 2006 Apr;81(4):354-73 - PubMed
  5. Cyberpsychol Behav Soc Netw. 2014 Dec;17(12):755-60 - PubMed
  6. J Affect Disord. 2012 Feb;136(3):857-61 - PubMed
  7. Nepal Med Coll J. 2012 Mar;14(1):46-8 - PubMed
  8. Br J Psychiatry. 2000 Apr;176:379-86 - PubMed
  9. Arch Gen Psychiatry. 1961 Jun;4:561-71 - PubMed
  10. Am Psychol. 1998 Sep;53(9):1017-31 - PubMed
  11. J Public Health (Oxf). 2010 Jun;32(2):191-201 - PubMed
  12. J Med Educ. 1988 Aug;63(8):636-42 - PubMed
  13. Neurosci Biobehav Rev. 2017 May;76(Pt A):174-184 - PubMed
  14. J Korean Med Sci. 2013 May;28(5):763-8 - PubMed
  15. PLoS One. 2011 Feb 16;6(2):e14703 - PubMed
  16. Cyberpsychol Behav. 2009 Jun;12(3):327-30 - PubMed
  17. Psychol Res Behav Manag. 2016 Nov 14;9:297-307 - PubMed
  18. Compr Psychiatry. 2019 Jul;92:22-27 - PubMed
  19. Acad Psychiatry. 2018 Feb;42(1):88-93 - PubMed
  20. Cyberpsychol Behav Soc Netw. 2012 Aug;15(8):404-10 - PubMed
  21. Cancer. 1991 Feb 1;67(3 Suppl):794-9 - PubMed
  22. J Anxiety Disord. 2008 Jun;22(5):849-59 - PubMed
  23. Asian J Psychiatr. 2016 Aug;22:105-10 - PubMed
  24. Cyberpsychol Behav. 2007 Apr;10(2):234-42 - PubMed
  25. Cyberpsychol Behav. 2006 Feb;9(1):69-81 - PubMed
  26. Psychol Bull. 1982 Nov;92(3):641-669 - PubMed
  27. J Adv Med Educ Prof. 2020 Apr;8(2):83-89 - PubMed
  28. Acad Psychiatry. 2015 Jun;39(3):300-4 - PubMed
  29. J Consult Clin Psychol. 2008 Apr;76(2):173-83 - PubMed
  30. Psychol Bull. 1985 Sep;98(2):310-57 - PubMed
  31. Psychiatry Clin Neurosci. 2017 Jul;71(7):492-505 - PubMed
  32. J Adolesc. 2016 Oct;52:103-11 - PubMed
  33. BMC Psychiatry. 2019 Jun 17;19(1):183 - PubMed
  34. Med Care. 1988 Jul;26(7):709-23 - PubMed
  35. Asian J Psychiatr. 2018 Oct;37:71-77 - PubMed
  36. Psychiatry Res. 2018 Sep;267:313-318 - PubMed
  37. J Affect Disord. 2001 Apr;64(1):69-79 - PubMed
  38. Psychiatry Clin Neurosci. 2018 Sep;72(9):723-730 - PubMed
  39. J Clin Psychiatry. 2006 May;67(5):821-6 - PubMed
  40. J Chin Med Assoc. 2009 Aug;72(8):422-9 - PubMed
  41. Addict Behav. 1999 Jul-Aug;24(4):565-71 - PubMed
  42. Addict Behav. 2017 Jan;64:287-293 - PubMed
  43. Arch Pediatr Adolesc Med. 2009 Oct;163(10):937-43 - PubMed
  44. J Ment Health Policy Econ. 2005 Sep;8(3):145-51 - PubMed

Publication Types

Grant support