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Psychosocial Risk Factors Associated with Internet Addiction in Korea

  • Lee, Ju Young (Department of Psychiatry and Behavioral Sciences, Ajou University School of Medicine) ;
  • Shin, Kyoung Min (Department of Psychiatry and Behavioral Sciences, Ajou University School of Medicine) ;
  • Cho, Sun-Mi (Department of Psychiatry and Behavioral Sciences, Ajou University School of Medicine) ;
  • Shin, Yun Mi (Department of Psychiatry and Behavioral Sciences, Ajou University School of Medicine)
  • Received : 2013.08.14
  • Accepted : 2014.01.06
  • Published : 2014.10.01

Abstract

Objective The aim of this study was to examine the prevalence of Internet addiction in middle school students and to identify associated psychosocial risk factors and depression. Methods This study was part of a larger epidemiological study on childhood psychiatric disorders conducted in Osan, a city of Republic of Korea. We used IAS for internet addiction, K-YSR for subjects' emotional and behavioral problems and K-CDI for depressive symptoms. We used the data of n=1217 completed cases. We put on independent variables, which are sex, age, smoking and alcohol experiences, economic status, age of first Internet use, K-YSR and K-CDI score. Results The subjects consisted of addicted users (2.38%), over users (36.89%) and normal Internet users (60.72%). Attention problems, sex, delinquent problems, K-CDI scores, thought problems, age and aggressive behavior were predictable variables of internet addiction. Age of initial Internet use negatively predicted Internet addiction. Conclusion This result showed similar to other researches about sociodemographic, emotional or behavioral factors related to internet addiction. Generally, subjects with more severe internet addiction had more emotional or behavioral problems. It means that they already have had various difficulties when we found internet addiction of adolescents. Therefore it is necessary to evaluate whether the subjects have any emotional or behavioral troubles and to intervene to prevent internet addiction.

Keywords

References

  1. National Information Society Agency. The Survey of Internet Addiction 2011. Seoul: National Information Society Agency; 2012.
  2. Megan MA, Jelenchick L, Cox E, Young H, Christakis DA. Problematic internet use among US youth: a systematic review. Arch Pediatr Adolesc Med 2011;165:797-805. https://doi.org/10.1001/archpediatrics.2011.58
  3. Lin MP, Ko HC, Wu JY. Prevalence and psychosocial risk factors associated with internet addiction in a nationally representative sample of college students in Taiwan. Cyberpsychol Behav Soc Netw 2011;14:741-746. https://doi.org/10.1089/cyber.2010.0574
  4. National Internet Development Agency of Korea. Survey on the Computer and Internet Usage. Report about the second half of the year 2005. Seoul: National Internet Development Agency of Korea; 2006.
  5. National Internet Development Agency of Korea. Survey on the Computer and Internet Usage. Report about the second half of the year 2007. Seoul: National Internet Development Agency of Korea; 2008.
  6. Young KS. Caught in the Net: How to Recognize the Signs of Internet Addiction--and a Winning Strategy for Recovery. New York: John Wiley & Sons; 1998.
  7. American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders: DSM-5. Washington DC: American Psychiatric Pub Incorporated; 2013.
  8. Yen JY, Yen CF, Chen CS, Tang TC, Ko CH. The association between adult ADHD symptoms and internet addiction among college students: the gender difference. Cyberpsychol Behav 2009;12:187-191. https://doi.org/10.1089/cpb.2008.0113
  9. Cao F, Su L, Liu T, Gao X. The relationship between impulsivity and Internet addiction in a sample of Chinese adolescents. Eur Psychiatry 2007; 22:466-471. https://doi.org/10.1016/j.eurpsy.2007.05.004
  10. Yen CF, Ko CH, Yen JY, Chang YP, Cheng CP. Multi-dimensional discriminative factors for Internet addiction among adolescents regarding gender and age. Psychiatry Clin Neurosci 2009;63:357-364. https://doi.org/10.1111/j.1440-1819.2009.01969.x
  11. Lam LT, Peng ZW. Effect of pathological use of the internet on adolescent mental health: a prospective study. Arch Pediatr Adolesc Med 2010; 164:901-906.
  12. Yoo HJ, Cho SC, Ha J, Yune SK, Kim SJ, Hwang J, et al. Attention deficit hyperactivity symptoms and internet addiction. Psychiatry Clin Neurosci 2004;58:487-494. https://doi.org/10.1111/j.1440-1819.2004.01290.x
  13. Ju SJ, Jwa DH. A prediction model for internet game addicted adolescents: focusing on socioeconomic and family related traits. Korean J Youth Stud 2011;18:165-190.
  14. Ni X, Yan H, Chen S, Liu Z. Factors influencing internet addiction in a sample of freshmen university students in China. Cyberpsychol Behav 2009;12:327-330. https://doi.org/10.1089/cpb.2008.0321
  15. Buchmann AF, Schmid B, Blomeyer D, Becker K, Treutlein J, Zimmermann US, et al. Impact of age at first drink on vulnerability to alcohol-related problems: testing the marker hypothesis in a prospective study of young adults. J Psychiatr Res 2009;43:1205-1212. https://doi.org/10.1016/j.jpsychires.2009.02.006
  16. Jenkins MB, Agrawal A, Lynskey MT, Nelson EC, Madden PA, Bucholz KK, et al. Correlates of alcohol abuse/dependence in early-onset alcohol-using women. Am J Addict 2011;20:429-434. https://doi.org/10.1111/j.1521-0391.2011.00151.x
  17. Rahman AS, Pilver CE, Desai RA, Steinberg MA, Rugle L, Krishnan-Sarin S, et al. The relationship between age of gambling onset and adolescent problematic gambling severity. J Psychiatr Res 2012;46:675-683. https://doi.org/10.1016/j.jpsychires.2012.02.007
  18. Shapira NA, Goldsmith TD, Keck PE Jr, Khosla UM, McElroy SL. Psychiatric features of individuals with problematic internet use. J Affect Disord 2000;57:267-272. https://doi.org/10.1016/S0165-0327(99)00107-X
  19. Achenbach TM. Manual for the Youth Self-Report and 1991 Profile. Burlington, VT: University of Vermont, Department of Psychiatry; 1991.
  20. Oh KJ, Hong KE, Lee HR, Ha EH. Koran-Youth Self Report (K-YSR). Seoul, Korea: Chung Ang Aptitude Research Center; 1997.
  21. Kovacs M, Beck AT. An Empirical-Clinical Approach toward a Definition of Childhood Depression. In: Schulterbrandt JG, Raskig A, Editors. Depression on Children: Diagnosis, Treatment, and Conceptual Models. New York: Raven Press, 1977, p.1-25.
  22. Kovacs M. The Children's Depression Inventory: A self-rated depression scale for school-aged youngsters. Unpublished Manuscript; 1983.
  23. Cho SC, Lee YS. Development of the Korean form of the Kovacs; children's depression inventory. J Korean Neuropsychiatr Assoc 1990;29: 943-956.
  24. Carli V, Durkee T, Wasserman D, Hadlaczky G, Despalins R, Kramarz E, et al. The association between pathological internet use and comorbid psychopathology: a systematic review. Psychopathology 2013;46:1-13. https://doi.org/10.1159/000337971
  25. Cao H, Sun Y, Wan U, Hao J, Tao F. Problematic internet use in Chinese adolescents and its relation to psychosomatic symptoms and life satisfaction. BMC Public Health 2011;11:802. https://doi.org/10.1186/1471-2458-11-802
  26. Yen JY, Ko CH, Yen CF, Wu HY, Yang MJ. The comorbid psychiatric symptoms of Internet addiction: attention deficit and hyperactivity disorder (ADHD), depression, social phobia, and hostility. J Adolesc Health 2007;41:93-98. https://doi.org/10.1016/j.jadohealth.2007.02.002
  27. Ko CH, Yen JY, Chen CS, Yeh YC, Yen CF. Predictive values of psychiatric symptoms for internet addiction in adolescents: a 2-year prospective study. Arch Pediatr Adolesc Med 2009;163:937-943. https://doi.org/10.1001/archpediatrics.2009.159
  28. Korea Agency for Digital Opportunity and promotion. The Survey of Internet addiction 2007. Seoul: Korea Agency for Digital Opportunity and promotion; 2008.
  29. Kim HS, Chae KC, Rhim YJ, Shin YM. Familial characteristics of internet overuse adolescents. J Korean Neuropsychiatr Assoc 2004;43: 733-739.
  30. Siomos K, Floros G, Fisoun V, Evaggelia D, Farkonas N, Sergentani E, et al. Evolution of Internet addiction in Greek adolescent students over a two-year period: the impact of parental bonding. Eur Child Adolesc Psychiatry 2012;21:211-219. https://doi.org/10.1007/s00787-012-0254-0
  31. Kim TH, Ha EH, Lee ES, Cho SJ, Song DH. Emotional and behavioral problems related with internet addiction in adolescence. J Korean Neuropsychiatr Assoc 2005;44:364-370.
  32. Ko CH, Yen JY, Yen CF, Chen CS, Chen CC. The association between Internet addiction and psychiatric disorder: a review of the literature. Eur Psychiatry 2012;27:1-8.
  33. Park MS, Park SE. The relationship between internet immersion and social competences and behavior development of elementary school children. J Educ Psychol 2004;18:313-327.
  34. Lee MS, Moon JW, Park JS. A Study on the relationship of middle and high school students' internet addiction level and school life adjustment. J Korean Soc School Health 2010;23:42-52.
  35. Fioravanti G, Dettore D, Casale S. Adolescent Internet addiction: testing the association between self-esteem, the perception of Internet attributes, and preference for online social interactions. Cyberpsychol Behav Soc Netw 2012;15:318-323. https://doi.org/10.1089/cyber.2011.0358
  36. Khantzian EJ. The self-medication hypothesis of substance use disorders: a reconsideration and recent applications. Harv Rev Psychiatry 1997;4:231-244. https://doi.org/10.3109/10673229709030550
  37. We JH, Chae KM. Internet addiction disorder of attention-deficit hyperactivity disorder adolescents, psychological characteristics. Korean J Clin Psychol 2004;23:397-416.
  38. Yoo HJ, Woo Si, Kim J, Ha J, Lee CS, Sohn JW. Relationship between attention deficit hyperactivity disorder symptoms and internet addiction in high school students. Korean J Psychopathol 2003;12:85-94.
  39. Hong KE. Korean Textbook of Child Psychiatry. Seoul: Chungang Munwhasa; 2005.
  40. Shin HS, Lee JS, Lee HG, Shin JS. Sex-differences in the effects of comorbidity of depression/anxiety and aggression on adjustment problems of juvenile delinquents. Korean J Counsel Psychother 2004;16: 491-510.
  41. Kormas G, Critselis E, Janikian M, Kafetzis D, Tsitsika A. Risk factors and psychosocial characteristics of potential problematic and problematic internet use among adolescents: a cross-sectional study. BMC Public Health 2011;11:595. https://doi.org/10.1186/1471-2458-11-595

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