Journal of Korean Biological Nursing Science

Korean society of Biological Nursing Science (한국기초간호학회)
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Comparison of Stress Level and HPA axis Activity of Internet Game Addiction vs. Non-addiction in Adolescents

인터넷게임중독 청소년과 비중독 청소년의 스트레스 수준과 HPA axis 활성도 비교

  • Kim, Eun Hwa (Department of Nursing, Graduate School, Keimyung University) ;
  • Kim, Na Hyun (College of Nursing and Research Institute for Nursing Science, Keimyung University)
  • 김은화 (계명대학교 대학원 간호학과) ;
  • 김나현 (계명대학교 간호대학.간호과학연구소)
  • Received : 2013.07.31
  • Accepted : 2013.11.11
  • Published : 2013.11.30
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Abstract

Purpose: The purpose of this study was to compare the stress level and HPA axis activity of an internet game addiction group and non-addiction group in adolescents. Methods: A cross-sectional comparative study was performed with 140 male high school students from 9 vocational high schools at W city. Data were collected from July to September, 2012, using a questionnaire for measuring internet game addiction and stress level, blood samples for serum ACTH, and cortisol level for HPA axis activity. Data were analyzed using descriptive analysis, $X^2$-test, t-test, ANOVA, and Pearson correlation coefficient with SPSS/WIN 15.0. Results: The stress level of the internet game addicted group was significantly higher than that of the non-addicted group (p<.001). The serum cortisol level was also significantly higher in the internet game addicted group than in the non-addicted group (p<.026). The serum ACTH level was higher in the internet game addicted group more than in the non-addicted group (p<.072). Conclusion: These results showed that internet game addiction could increase stress level and HPA axis activity in high school adolescents. Thus, a nursing approach to prevent and relieve internet game addiction should be initiated to stabilize the HPA axis of internet game addicted adolescents.

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References

  1. An, K. J., Jeong, J. S., Kim, Y. K., & Jeong, H. S. (2008). Physiological markers in anxiety and depression. Journal of Korean Biological Nursing Science, 10(2), 184-193.
  2. Bonaguro, J. A., & Bonaguro, E. W. (2009). Self concept, stress symptomatology, and tobacco use. Journal of School Health, 57, 56-58. http://dx.doi.org/10.1111/ j.1746-1561. 1987. tb02299.x
  3. Chang, G. Y., & Kim, K. H. (2009). The lifetime of Korean youth and their lifestyle. Journal of Future Oriented Youth Society, 6(4), 139-155.
  4. Carnagey, N. L., & Anderson, C. A. (2004). Violent video game exposure and aggression: A literature review. Minerva Psichiatrica, 45(1), 1-8.
  5. de Kloet, E. R., Joels, M., & Holsboer, F. (2005). Stress and the brain: From adaptation to disease. Nature Reviews Neuroscience, 6, 463-475. http://dx.doi.org/10. 1038/nrn1683 https://doi.org/10.1038/nrn1683
  6. Guyton, A. C., & Hall, J. E. (2011). Textbook of Medical Physiology (12th ed.). Philadelphia: Saunders.
  7. Hanam Community Mental Health Center & Kyung Hee University School of Medicine. (1999). A study of adolescent' mental health in Hanam community. Hanam: Author.
  8. Hebert, S., Beland, R., Dionne-Fournelle, O., Crete, M., & Lupien, S. J. (2005). Physiological stress response to video-game playing: The contribution of built-in music. Life Sciences, 76, 2371-2380. http://dx.doi.org/10.1016/j.lfs.2004.11.011
  9. Ivarsson, M., Anderson, M., Akerstedt, T., & Lindblad, F. (2009). Playing a violent television game affects heart rate variability. Acta Paediatrica, 98(1), 166-172. 10.1111/j.1651- 2227.2009.01271.x
  10. Joo, A. R., & Park, I. H. (2005). The difference of levels of internet computer game addiction, stress and empowerment in sociodemographic characteristics of middle school students. Journal of Adolescent Welfare, 7(2), 37-57. 10.4040/jkan.2010.40.2.255
  11. Kim, B. Y., & Suh, K. H. (2012). Mobile phone and internet game addiction, and stress responses of high school students: The mediating effect of sleep deprivation. The Korean Journal of Health Psychology, 17(2), 385-398. https://doi.org/10.17315/kjhp.2012.17.2.007
  12. Ko, C. H., Liu, G. C., Hsiao, S., Yen, J. Y., Yang, M. J., Lin, W. C., et al. (2009). Brain activities associated with gaming urge of online gaming addiction. Journal of Psychiatric Research, 43, 739-747. http://dx.doi.org/10.1016/j.jpsychires.2008. 09.012
  13. Koob, G. F., & Le Moal, M. (2001). Drug addiction, dysregulation of reward, and allostasis. Neuropsychopharmacology, 24, 97-129. http://dx.doi.org/10.1016/S08 93-133X(00)00195-0.
  14. Korean Creative Content Agency (KOCCA). (2010). CSG (Comprehensive Scale for Assessing Game Behavior) Manual. Seoul: Author.
  15. Korea Agency for Digital Opportunity and Promotion (KADO). (2006). A study of the development of internet game addiction scale for children and adolescents. Seoul: Author.
  16. Korea Internet & Security Agency. (2012). A survey of 2011 internet use. Seoul: Author.
  17. Lam, L. T., peng, Z. W., Mai, J. C., & Jing, J. (2009). Factors associated with internet addiction among adolescents. Cyberpsychology and Behavior, 12(5), 551-555. 10. 1089/cpb.2009.0036 https://doi.org/10.1089/cpb.2009.0036
  18. Lee, H. C., & Ahn, C. Y. (2002). A study on the development and effectiveness of cognitive-behavioral therapy for internet game addiction. The Korean Journal of Health Psychology, 7(3), 463-486. https://doi.org/10.1348/135910702320645426
  19. Lin, H. P., Lin, H. Y., Lin, W. L., & Huang, A. C. (2011). Effects of stress, depression, and interaction on heart rate, skin conductance, finger temperature, and respiratory rate: Sympathetic-parasympathetic hypothesis of stress and depression. Journal of Clinical Psychology, 67(10), 1080-1091. 10.1002/jclp.20833
  20. Ministry of Health & Welfare. (2009). Social costs according to harmful factor of media environment in Child and Youth. Seoul: Ministry of Health & Welfare.
  21. National Information Society Agency. (2012). A survey of 2011 internet addiction. Seoul: Author.
  22. Schluger, J. H., Borg, L., Ho, A., & Kreek, M. J. (2001). Altered HPA axis responsivity to metyrapone testing in methadone maintained former heroin addicts with ongoing cocaine addiction. Neuropsychopharmacology, 24, 568-575. http://dx. doi.org/10.1016/S0893-133X(00)00222-0
  23. Schwabe, L., Dickinson, A., & Wolf, O. T. (2011). Stress, habits, and drug addiction: A psychoneuroendocrinological perspective. Experimental and Clinical Psychopharmacology, 19, 53-63. http://dx.doi.org/10.1037/a0022212
  24. Sinha, R. (2008). Chronic stress, drug use, and vulnerability to addiction. Annals of the New York Academy of Sciences, 1141, 105-130. http://dx.doi.org/10.1196/annals.1441.030
  25. Son, M. E., & Kim, N. H. (2012). The Relationship between Cyber Leisure Activity and Autonomic Function in High School Students. Journal of Korean Biological Nursing Science, 14, 33-40. https://doi.org/10.7586/jkbns.2012.14.1.33
  26. Suh, K. H., & Park, J. Y. (2012). Relationship between the use of music, addiction to internet game, and stress responses among male adolescents. Journal of Adolescent Research, 19(7), 101-107.
  27. Weinstein, A., & Lejoyeux, M. (2010). Internet addiction or excessive internet use. The American Journal of Drug and Alcohol Abuse, 36, 277-283. http://dx.doi.org/ 10.3109/ 00952990.2010.491880
  28. Yoo, H. J., Cho, S. C., Ha, J., Yune, S. K., Kim, S. J., Hwang, J., et al. (2004). Attention deficit hyperactivity symptoms and internet addiction. Psychiatry and Clinical Neurosciences, 58(5), 487-494. https://doi.org/10.1111/j.1440-1819.2004.01290.x
  29. Young, K. S. (1996). Psychology of computer use: XL; Addictive use of the Internet: A case that breaks the stereotype. Psychological Reports, 79, 899-902. https://doi.org/10.2466/pr0.1996.79.3.899
  30. Young, K. S. (1998). Internet addiction: the emergence of a new clinical disorder. Cyberpsychology & Behavior, 1(3), 237-244. https://doi.org/10.1089/cpb.1998.1.237

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