Journal of Korean Public Health Nursing (한국보건간호학회지)

Korean Society of public Health Nursing (한국보건간호학회)
권호 표지
DOI QR코드

DOI QR Code

Factors Influencing Internet Addiction Proneness in Higher Grade Students at an Elementary School

초등학교 고학년 학생의 인터넷 중독정도에 영향을 미치는 요인

  • Received : 2012.11.09
  • Accepted : 2012.12.17
  • Published : 2012.12.31
Download PDF
⟨ Previous Next ⟩

Abstract

Purpose: The purpose of this study was to investigate factors influencing internet addiction proneness and condition of internet use in higher grade students at an elementary school. Method: The subjects consisted of 234 sixth grade students at an elementary school in Gyeonggido. SPSS/Win18.0 was used for analysis of data. Results: Among the subjects, 51.3% had used the internet for more than three years, 89.3% used the internet in their home, and 38.5% used the internet for games. In internet addition proneness, 3.1% were potential risk users and 1.3% were high risk users. Internet addiction proneness differed significantly according to gender, period of internet use, internet access location, and purpose of internet use. Internet addiction proneness showed negative correlation with protective factors and positive correlation with risk factors. The factors affecting the internet addiction proneness were degree of internet use, peer protective factor(support from peer), personal protective factor(self-control), internet access location, and family risk factor(negative communication). These factors accounted for 32.9% of internet addiction proneness. Conclusion: Strategies are needed for improvement of the relationship with the peer group and family communication and to encourage self-control for prevention of internet addiction in elementary school students in community mental health service.

Keywords

References

  1. Ahn, Y. M., Choi, S. H. (2008). Physical Size and Body Surface Area of Children. Journal of Korean Society Living Environmental System., 15(4), 488-495.
  2. Belsley, D. A., Kuh, E. & Welsch, R. E. (1980). Regression Diagnostics: Identifying influential data and sources of collineality. New York: John Wiley.
  3. Cha, M. H., Cho, B., Kim, I. K., Han, S. C., Yang, J. K., & Jung, K. Y. (2009). A study on the current state and support plan of crisis students. Seoul: Ministry of Education, Science and Technology.
  4. Cho, C. M., Chon, M. Y. & Kim, M. H. (2006). The Relationships among Economic Status, Health Status and Health Promotion Behaviour in School-age Children. Journal of Korea Community Health Nursing Academic Society, 20(1), 95 -103.
  5. Choi, M. H .(2009). The Study on relationship among computer game addiction mental health and adjustment to school life on elementary school students. Unpublished master's thesis, Konkuk University. Seoul.
  6. Cowan, A .P., Cowan, P. C., & Schulz, S .M. (1996). Thinking about risk and resilience in families. In Hetherington, E.M. Blechman, & A. E. Mahwah(eds), stress, coping and resilience in children and families. Lawrence Erlbaum Association Publishers.
  7. Faul, F., Erdfelder, E., Lang, A. G., & Bunchner, A. (2007). G power 3: A flexible statistical power analysis program for the social, behavioral, and biochemical sciences. Behavior Research Method, 39, 175-191. https://doi.org/10.3758/BF03193146
  8. Garmezy, N. (1993). Children in poverty: resilience despite risk. Psychiatry, 56, 127-136. https://doi.org/10.1080/00332747.1993.11024627
  9. Gottfredson, M, & Hirschi, T. (1990). A general theory of crime. Palo Alto, CA : Stanford University Press.
  10. Greene, R. R. (1999). Human behavior theory and social work practice. Hawthorne, NY: Aldine de Gruyter.
  11. Jang, G. Y.(2009). The current situation of elementary school student's computer game addiction: and the relationship of computer Game addiction with self-control and adjustment of school life. Unpublished master's thesis, Cheongju National University. Chungbuk.
  12. Jessor, R. (1993). Successful adolescent development among youth in high-risk settings. American Psychologist, 48(2), 117-126. https://doi.org/10.1037/0003-066X.48.2.117
  13. Ji, S. H., Lee, E. K., Lee, J. E., Choi, S. M., & Jung C. S. (2003). A longitudinal study of juvenile delinquency prevention and development of intervention strategy III. Korea Youth counseling Institute.
  14. Ju, S. J. (2011). A Study on the risk and protective factors that determine Internet addiction among adolescents. Unpublished doctoral dissertation, Soongsil University, Seoul.
  15. Jung, E. S., Shim, M. S. (2012). Family function and Internet addiction in lower grade elementary school students. Journal of Korea Public Health Nursing, 26(2), 328-340. https://doi.org/10.5932/JKPHN.2012.26.2.328
  16. Kim, T. H. (2004). The effects of hope and meaning of life on adolescent's resilience. Unpublished doctoral dissertation, Hanyang University, Seoul.
  17. Kirby, L. D. & Fraser, M. W. (1997). Risk and resilience in childhood. : An ecological perspective. Washington DC: National Association of Social Worker.
  18. Koo, B. Y., Kum, M. J., Kim, D. I., Kim, D. M., Nam, S. I., et al. (2005). A study of support model development for crisis juveniles. Government Youth Commission: Seoul
  19. Korea Communication, Korea Internet & Security Agency (2012). 2011 Annual report on the status of using Internet.
  20. Lee, A. R.(2004). An Analysis of the risk and Protective factors for juvenile delinquency. Unpublished doctoral dissertation, Chungnam National University, Daejon.
  21. Lee, H. Y. & Kim, C. N. (2004). The study of performance of health promoting behavior in elementary school students. Journal of Korea Community Health Nursing Academic Society, 18(1), 119 -131.
  22. Lee, J. A., Lee, Y. M. & Hwang, S. S. (2010). A study on healthy lifestyle of elementary school students using school health survey. Journal of Korean Society Living Environmental System, 17(6), 659-666.
  23. Lee, J. K. (2011). Study on risk factors and protective factors of Internet addiction of the adolescents. Unpublished doctoral dissertation, Daegu University, Gyeongbuk.
  24. Lee, S. H. (2006). A study on the project of reinforcing protective factors to Prevent Juvenile Delinauency. Unpublished doctoral dissertation, Daegu University, Gyeongbuk.
  25. Ministry of Health and Welfare (2012), 2012 mental health service guide. Seoul: Author
  26. Nam, H. M.(1999). The effects of psychological family environment, self-control and friend characteristics of middle school students on their problem behaviors. Unpublished master's thesis, Seoul National University. Seoul.
  27. National Information Agency. (2009). A second study on the follow up study of Internet addiction proneness scale. Seoul: Author
  28. National Information Agency. (2012-a). 2012' National Informatization White Paper. Seoul: Author
  29. National Information Agency. (2012-b). 2011' Annual report on the current Status of Internet Addiction. Seoul: Author
  30. Wolin, S. J. & Wolin, S. (1993). The resilient self: how survivors of troubled families rise above adversity, NY: Villiard Books.

Cited by

  1. Predictors of Addictive Behavior in Adolescents vol.27, pp.3, 2013, https://doi.org/10.5932/JKPHN.2013.27.3.592
  2. Influences of Family Environment Risk Factors and Ego Resilience on The Early Adolescents' Problem Behaviors vol.28, pp.3, 2014, https://doi.org/10.5932/JKPHN.2014.28.3.484