So Youn Mun; Byoung Sook Lee

doi:10.4040/jkan.2015.45.2.251

Articles

Page Path: HOME > J Korean Acad Nurs > Volume 45(2); 2015 > Article

Original Article
Effects of an Integrated Internet Addiction Prevention Program on Elementary Students' Self-regulation and Internet Addiction: So Youn Mun, Byoung Sook Lee; Journal of Korean Academy of Nursing 2015;45(2):251-261.
DOI: https://doi.org/10.4040/jkan.2015.45.2.251
Published online: April 30, 2015

¹Acheon Elementary School, Gimcheon, Korea.

²College of Nursing, Keimyung University, Daegu, Korea.

Address reprint requests to: Lee, Byoung Sook. College of Nursing, Keimyung University, 1095 Dalgubul-daero, Dalseo-gu, Daegu 704-701, Korea. Tel: +82-53-580-3900, Fax: +82-53-580-3916, lbs@gw.kmu.ac.kr

• Received: October 2, 2014 • Revised: October 19, 2014 • Accepted: January 19, 2015

This is an Open Access article distributed under the terms of the Creative Commons Attribution NoDerivs License. (http://creativecommons.org/licenses/by-nd/4.0/) If the original work is properly cited and retained without any modification or reproduction, it can be used and re-distributed in any format and medium.

19 Views
1 Download
26 Scopus

prev next

Full Article

Download PDF

Abstract
NOTES
REFERENCES

Abstract

Purpose
The purpose of this study was to develop an integrated internet addiction prevention program and test its effects on the self-regulation and internet addiction of elementary students who are at risk for internet addiction.
Methods
A quasi-experimental study with a nonequivalent control group pretest-posttest design was used. Participants were assigned to the experimental group (n=28) or control group (n=28). Contents of the program developed in this study included provision of information about internet addiction, interventions for empowerment and methods of behavioral modification. A pre-test and two post-tests were done to identify the effects of the program and their continuity. Effects were testified using Repeated measures ANOVA, simple effect analysis, and Time Contrast.
Results
The self-regulation of the experimental group after the program was significantly higher than the control group. The score for internet addiction self-diagnosis and the internet use time in the experimental group were significantly lower than the control group.
Conclusion
The effects of the integrated internet addiction prevention program for preventing internet addiction in elementary students at risk for internet addiction were validated.
Keywords: Internet; Addiction; Prevention; Self regulation

This manuscript is a revision of the first author’s master’s thesis from Keimyung University.

REFERENCES

1. Korea Internet Addiction Center. 2010 internet addiction survey [Internet]. Seoul, Author. 2011;cited 2011 March 23. Available from: http://www.iapc.or.kr/info/lib/showInfoLibDetail.do?article_id=ICCART_0000000001500&board_type_cd=C1&searchCondition=&searchKeyword=
2. Ministry of Public Administration and Security. 2011 internet addiction survey [Internet]. Seoul, Author. 2011;cited 2012 June 14. Available from: http://www.mospa.go.kr/gpms/ns/mogaha/user/nolayout/main/nationDisplay.action
3. Young KS. Internet addiction: The emergence of a new clinical disorder. Cyberpsychol Behav. 2009;1(3):237–244. Article
4. Korea Agency for Digital Opportunity and Promotion. 2006 internet addiction survey [Internet]. Seoul, Author. 2006;cited 2007 March 19. Available from: http://www.iapc.or.kr/info/lib/showInfoLibDetail.do?article_id=ICCART_0000000000127&board_type_cd=C1&searchCondition=&searchKeyword=
5. Park YH. A study of the relationship between the internet use and the interpersonal relationships in the case of higher level pupils in a primary school [master's thesis]. Seoul, Yonsei University. 2002.
6. Cao F, Su L. Internet addiction among Chinese adolescents: Prevalence and psychological features. Child Care Health Dev. 2007;33(3):275–281. Article PubMed
7. Whang LS, Lee S, Chang G. Internet over-users' psychological profiles: A behavior sampling analysis on internet addiction. Cyberpsychol Behav. 2003;6(2):143–150. Article PubMed
8. Armstrong L, Phillips JG, Saling LL. Potential determinants of heavier internet usage. Int J Hum Comput Stud. 2000;53(4):537–550. Article
9. Ju SJ. Internet addiction and psychological factors in early adolescents. J Korean Acad Psychiatr Ment Health Nurs. 2008;17(1):46–54.Article PDF
10. Jeong TG. The effects of internet addiction and self control on achievement of elementary school children. J Yeolin Educ. 2005;13(1):143–163.
11. Tsai CC, Lin SS. Internet addiction of adolescents in Taiwan: An interview study. Cyberpsychol Behav. 2003;6(6):649–652. Article PubMed
12. Shin JS, Lee CH. The effects of self-control and social support on the adolescents' internet addiction. Korean J Youth Stud. 2010;17(8):105–128.
13. Joo A, Park I. Effects of an empowerment education program in the prevention of internet games addiction in middle school students. J Korean Acad Nurs. 2010;40(2):255–263. Article PubMed
14. Kim BG, Lee SJ, Koh YS, Cho SC, Hur IB, Ko SJ, et al. Internet addiction prevention education program in elementary school. Seoul: National Information Society Agency; 2007.
15. Yang MH. Behavioral support based on the theory of behavior modification. Seoul: Hakjisa; 2012.
16. Kwon HK, Kwon JH. The effect of the cognitive-behaviora1 group therapy for high risk students of internet addiction. Korean J Clin Psychol. 2002;21(3):503–514.
17. Moon SH. A study on the effects of integrative self-management program for internet-addiction prevention in elementary-school students [master's thesis]. Daegu, Daegu University. 2005.
18. Lee YS, Lee SJ, Do JY, Kim DI. Development of prevention program for youth excessive use of internet. Korean J Youth Couns. 2011;19(2):105–124.Article
19. Oh I, Kim C. Meta-analysis on the effects of the prevention and intervention programs for internet addiction. J Korean Inf Educ. 2009;13(4):529–537.
20. Griffiths M. The psychology of addictive behavior. London, UK: Harper Collins; 2009.
21. Kendall PC, Wilcox LE. Self-control in children: Development of a rating scale. J Consult Clin Psychol. 1979;47(6):1020–1029.Article PubMed
22. Kwon HJ. Relationship between child perceived level of maltreatment, self-control and anger expressions [master's thesis]. Seoul, Sookmyung Women's University. 2007.
23. Lee EO, Lim NY, Park HA, Lee IS, Kim JI, Bae J, et al. Nursing research and statistical analysis. Paju: Soomoonsa; 2009.
24. Kim CT, Kim D, Park JK, Lee SJ. Development of Korean internet addiction diagnostic scale. Seoul: National IT Industry Promotion Agency; 2002.
25. Lee HC, Ahn CY. A study on the development and effectiveness of cognitive-behavioral therapy for internet game addiction. Korean J Health Psychol. 2002;7(3):463–486.
26. Lee SJ. Behavior modification. Paju: Kyoyookbook; 2004.
27. Park GR, Kim HS. Effects of a group counseling integration program on self-determination and internet addiction in high school students with tendency to internet addiction. J Korean Acad Nurs. 2011;41(5):694–703. Article PubMed
28. Logue AW. Self-control: Waiting until tomorrow for what you want today. Englewood Cliffs, NJ: Prentice-Hall; 1995.
29. Kim HO, Kim SH. The effect of the reality therapy group counseling program on the improvement of self-esteem, internal control, and addictive internet use of the internet-addicted elementary school students. J Educ Res Mokpo Natl Univ. 2006;18(1):11–22.
30. Lee KS, Jung SJ, Kim MS, Seo BK. Development and effectiveness of internet addiction counseling program for upper grade elementary school children. Korean J Dev Psychol. 2013;26(1):231–253.

Table 1

The Contents of the Integrated Internet Addiction Prevention Program

Table 2

Homogeneity of the Participants

Exp.=Experimental group; Cont.=Control group.

Table 3

Effect of the Internet-Addiction Prevention Program

Exp.=Experimental group; Cont.=Control group; G*T=Interaction between group and time.

Table 4

Simple Main Effects and Time Contrast in Dependent Variables by Measurement Time

Exp.=Experimental group (n=28); Cont.=Control group (n=28); SS=Sum of square; MS=Mean square.

Figure & Data

REFERENCES

Citations

Citations to this article as recorded by

Cite

CITE: export Copy Download Format; Close

Download Citation

Download a citation file in RIS format that can be imported by all major citation management software, including EndNote, ProCite, RefWorks, and Reference Manager.

Format:

RIS — For EndNote, ProCite, RefWorks, and most other reference management software
BibTeX — For JabRef, BibDesk, and other BibTeX-specific software

Include:

Citation for the content below
Citation and abstract for the content below

Effects of an Integrated Internet Addiction Prevention Program on Elementary Students' Self-regulation and Internet Addiction

J Korean Acad Nurs. 2015;45(2):251-261. Published online April 30, 2015

DOI: https://doi.org/10.4040/jkan.2015.45.2.251

XML Download

We recommend

Effects of an Integrated Internet Addiction Prevention Program on Elementary Students' Self-regulation and Internet Addiction

Table 1

The Contents of the Integrated Internet Addiction Prevention Program

Table 2

Homogeneity of the Participants

Exp.=Experimental group; Cont.=Control group.

Table 3

Effect of the Internet-Addiction Prevention Program

Exp.=Experimental group; Cont.=Control group; G*T=Interaction between group and time.

Table 4

Simple Main Effects and Time Contrast in Dependent Variables by Measurement Time

Exp.=Experimental group (n=28); Cont.=Control group (n=28); SS=Sum of square; MS=Mean square.

Table 1 The Contents of the Integrated Internet Addiction Prevention Program

Table 2 Homogeneity of the Participants

Exp.=Experimental group; Cont.=Control group.

Table 3 Effect of the Internet-Addiction Prevention Program

Exp.=Experimental group; Cont.=Control group; G*T=Interaction between group and time.

Table 4 Simple Main Effects and Time Contrast in Dependent Variables by Measurement Time

Exp.=Experimental group (n=28); Cont.=Control group (n=28); SS=Sum of square; MS=Mean square.