DOI QR코드

DOI QR Code

인터넷 중독 임상군의 심리사회적 특성과 인터넷 중독 영향요인에 대한 융합 연구

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

  • 투고 : 2018.04.12
  • 심사 : 2018.07.20
  • 발행 : 2018.07.28

초록

본 연구는 정신의료기관에 방문하여 치료를 받고 있는 인터넷 중독 임상군의 심리사회적 특성과 인터넷 중독과 관련된 영향요인을 규명하기 위해 2차 분석을 실시한 서술적 조사 연구이다. 연구대상자는 일 정신의료기관에 인터넷 중독으로 진단 및 치료를 받은 63명으로 전자의무기록을 확인하여 자료를 수집하였다. 전자의무기록에는 인터넷 중독 정도, 불안, 우울, 충동성, 주의력결핍과잉행동장애 정도, 사회연결망 정도를 측정하는 척도가 포함되어 있어 이를 이용하였다. 연구결과, 인터넷 중독 정도는 하루 인터넷 사용시간, 불안, 충동성, 주의력결핍과잉행동장애 증상과 유의한 상관관계가 있었으며, 인터넷 중독 정도의 영향요인은 주의력결핍과잉행동 증상, 하루 인터넷 사용시간, 충동성으로 나타났고, 총 설명력은 44%이었다. 본 연구 결과를 토대로 인터넷 중독 임상군이 겪고 있는 심리사회적 어려움을 치료에 반영하고, 주의력결핍과잉 행동장애 임상군에게 적절한 인터넷 사용 교육이 필요할 것으로 사료된다.

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.

키워드

참고문헌

  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. http://www.yonhapnews.co.kr/bulletin/2016/03/16/0200000000AKR20160316137700061.HTML
  3. NIS. (2015). 2014 Internet addiction survey. National Information Society Agency.
  4. W. S. Choi. (2011). Mdtoday. http://www.mdtoday.co.kr/mdtoday/index.html?no=166221
  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. http://doi.org/10.2466/pr0.1996.79.3.899
  6. J. H. Ha, et al. (2007). Depression and internet addiction in adolescent. Psychopathology, 40, 424-430. https://doi.org/10.1159/000107426
  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. http://doi.org/10.1017/s1092852900016308
  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. http://doi.org/10.16983/kjsp.2008.5.2.175
  9. H. J. Yoo et al. Attention deficit hyperactivity symptoms and internet addiction. Psychiatric and Clinical Neuroscience, 58(5), 487-494. http://doi.org/10.1111/j.1440-1819.2004.01290.x
  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. http://doi.org/10.4306/pi.2014.11.4.380
  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. https://doi.org/10.4040/jkan.2007.37.5.754
  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. http://doi.org/10.1176/appi.books.9780890423349.15861
  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. http://doi.org/10.15703/kjc.9.4.200812.1703
  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. http://doi.org/10.1037/0022-006X.56.6.893
  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. http://doi.org/10.2466/pms.1959.9.3.191
  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. http://doi.org/10.1093/geront/46.4.503
  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. http://doi.org/10.1080/07317115.2011.572534
  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. http://doi.org/10.14696/jcs.2014.03.14.1.5
  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. http://doi.org/10.1080/02791072.2000.10736099
  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. http://doi.org/10.5765/jkacap.2014.25.3.136
  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. http://doi.org/10.15842/kjcp.2010.29.4.009
  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. http://doi.org/10.1016/s0166-4328(01)00432-6