Convergence Study of Psychosocial Characteristics and Factors Relating on Internet Addiction in Patients with Internet Addiction

인터넷 중독 임상군의 심리사회적 특성과 인터넷 중독 영향요인에 대한 융합 연구

  • Received : 2018.04.12
  • Accepted : 2018.07.20
  • Published : 2018.07.28


The purpose of this study was to identify the characteristics and the attributes related to Internet use in patients with Internet addiction. This study is a descriptive secondary analysis study, at Internet addiction clinics used the data of 63 patients diagnosed with Internet addiction. Data were obtained from Internet addiction clinic Electronic Medical Records(EMR), there was included the Korean Internet addiction scale(K-scale), Beck Anxiety Inventory(BAI), Beck Depression Inventory(BDI), Barratt Impulsivity scale(BIS), Conners ADHD Rating Scale(CAARS), Lubben Social Network Scale(LSNS). K-scale had significantly correlations with Internet use time per day, anxiety, impulsivity, Attention deficit Hyperactivity Disorder(ADHD) symptom. In stepwise multiple regression, factors significantly affecting ADHD symptom (${\beta}=.37$), Internet use time per day(${\beta}=.29$), Impulsivity(${\beta}=.25$), which accounted for 44% of the variance. Results indicate that patients with Internet addiction had psychological difficulties and suggest that children with ADHD needed to intervention for appropriate internet use.


Internet;Addiction;Patients;Attention Deficit Hyperactivity Disorder;Convergence


  1. E. G. Jon. (2008). Impulse control disorders: A Clinician's guide to understanding and treating behavioral addictions. 1st ed. New York: w. w. Norton & Company.
  2. Y. J. Lee & S. H. Yu. (2016). Yonhapnews.
  3. NIS. (2015). 2014 Internet addiction survey. National Information Society Agency.
  4. W. S. Choi. (2011). Mdtoday.
  5. K. S. Young. (1996). Psychology of computer use: XL. Addictive use of the internet: a case that breaks the stereotype. Psychological reports, 79(3), 899-902.
  6. J. H. Ha, et al. (2007). Depression and internet addiction in adolescent. Psychopathology, 40, 424-430.
  7. C. H. Ko, J. Y. Yen, C. S. Chen, O. C. Chen, & C. F. Yen. (2008). Psychiatric comorbidity of internet addiction in college students: an interview study. CNS spectrum, 13(2), 147-153.
  8. S. J. Lee. (2008). The study on the interrelations of psychological and social variables with internet addiction among korean adolescents: latent growth modeling analysis. The Korean Journal of School Psychology, 5(2), 175-192.
  9. H. J. Yoo et al. Attention deficit hyperactivity symptoms and internet addiction. Psychiatric and Clinical Neuroscience, 58(5), 487-494.
  10. J. Y. Lee, K. M. Shin, S. M. Cho, & Y. M. Shin. (2014). Psychosocial risk factors associated with internet addiction in Korea. Psychiatry Investing, 11(4), 380-386.
  11. H. S. Park, Y. H. Kwon, & K. M. Park. (2007). Factors on internet game addiction among adolescents. Journal of Korean Academy Nursing, 37(5), 754-761.
  12. S. M. Hwang, S. A. Lee, & D. H. Han. (2013). The Psychological features by comorbidity in adolescent internet addiction groups -Focusing on depression and impulse-. Korean Journal of Psychology: General, 32(4), 989-1002.
  13. J. D. Guelfi. (2004). DSM-4-TR, Elsevier Masson.
  14. D. I. Kim, Y. J. Chung, E. A. Lee, D. M. Kim, & Y. M. Cho. (2008). Development of Internet Addiction Proneness Scale-short form(KS scale). The Korea Journal of Counseling, 9(4), 1703-1722.
  15. A. T. Beck, N. Epstein, G. Brown, & R. A. Steer. (1998). An inventory for measuring clinical anxiety: psychometric properties. Journal of consulting and clinical psychology, 56(6), 893-897.
  16. E. K. Han, Y. R. Cho, S. H. Park, H. R. Kim, & S. H. Kim. (2003). Factor structure of the Korean version of the Beck Anxiety Inventory: An application of confirmatory factor analysis in psychiatric patients. The Korea Journal of Clinical Psychology, 2(1), 261-270.
  17. A. Beck, R. Steer, G. Brown. (1996). Manual for the Beck depression inventory-II, Psychological Corporation.
  18. H. M. Sung, J. B. Kim, Y. N. Park, D. S. Bai, S. H. Lee, & H. N. Ahn. (2008). A Study on the Reliability and the Validity of Korean Version of the Beck Depression Inventory-II(BDI-II). Journal of the Korean Society of Biological Therapies in Psychiatry, 14(2), 201-212.
  19. E. S. Barratt. (1959). Anxiety and impulsiveness related to psychomotor efficiency. Perceptual and Motor Skills, 9(3), 191-198.
  20. H. S. Lee. (2001). Impulsivity scale conduct summary. 3rd. ed. Guidance.
  21. C. K. Conners. (2001). Conners' rating scales revised: Multi-Health Systems, Incorporated.
  22. G. H. Bahn, M. S. Shin, S. C. Cho, & K. F. Hong, A preliminary study for the development of the assessment scale for ADHD in adolescents: Reliability and validity for CASS(S). Journal of the Korean Academy of Child and Adolescent Psychiatry, 12, 218-224.
  23. J. E. Lubben et al. (2006). Performance of an abbreviated version of the lubben social network scale among three european community-dwelling older adult populations. The Gerontologist, 46(4), 503-513.
  24. M. Hong, B. C. Lee, & D. Harrington. (2011). Validation of Korean version of the lubben social network scales in Korean Americans. Clinical Gerontologist, 34(4), 319-334.
  25. I. S. Kim. (2014). The relationships among optimistic bias of internet game, the third-person effect of internet game and support for internet game regulation. Journal of Communication Science, 14(1), 15-36.
  26. K. Blum, et al. (2000). The reward deficiency syndrome: A biogenetic model for the diagnosis and treatment of impulsive, addictive and compulsive behaviors. Journal of psychoactive drugs, 32(1), 1-112.
  27. E. J. Oh, et al. (2014). Relationship between internet game addiction and psychiatric symptoms in a child and adolescent psychiatric clinic. Journal of korean academy child and adolescent psychiatry, 25(3), 136-141.
  28. T. H. Kim, E. H. Ha, E. S. Lee, S. J. Cho, & D. H. Song. (2005). Emotional and behavioral problems related with internet addiction in adolescent. Journal of the Korean Neuropsychiatric Association, 44(3), 364-370.
  29. S. K. Kwon, & E. Y. Jang. (2010). Internet use among children: an exploratory study of comorbid disorders and predictors. The Korean journal of clinical psychology, 29(4), 1067-1086.
  30. E. J. Sonuga-Barke. (2002). Psychological heterogeneity in AD/HD-a dual pathway model of behaviour and cognition. Behavioural brain research, 130(1), 29-36.