Comparison of Gender Factors Affecting Middle School Students' Smartphone Addiction

Hee Min Kim; Sung Hee Shin

doi:10.12934/jkpmhn.2015.24.3.145

Journal List > J Korean Acad Psychiatr Ment Health Nurs > v.24(3) > 1058038

Go to TopGo to Top Go to BottomGo to Bottom

TOOLS

Kim and Shin: Comparison of Gender Factors Affecting Middle School Students' Smartphone Addiction

Original Article

Journal of Korean Academy of Psychiatric and Mental Health Nursing 2015; 24(3): 145-155.

Published online: 30 September 2015

DOI: https://doi.org/10.12934/jkpmhn.2015.24.3.145

Comparison of Gender Factors Affecting Middle School Students' Smartphone Addiction

Hee Min Kim¹, Sung Hee Shin²

¹College of Nursing Science, Kyung Hee University, Seoul, Korea.

²College of Nursing Science, East-West Research Institute, Kyung Hee University, Seoul, Korea.

Corresponding author: Shin, Sung Hee. College of Nursing Science, Kyung Hee University, 26 Kyungheedae-ro, Dondaemun-gu, Seoul 02447, Korea. Tel: +82-2-961-0917, Fax: +82-2-961-9398, sunghshin@khu.ac.kr

Received 4 December 2014 Revised 30 July 2015 Accepted 22 September 2015

(open-access):

This is an open access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Purpose

This cross-sectional study was done to compare factors influencing smartphone addiction in middle school boys and girls.

Methods

Participants were 390 middle school students (boys 198, girls 192) who were living in Seoul. Data were analyzed using SPSS 20.0 program.

Results

Factors influencing smartphone addiction for boys were stress, the motivation to use smartphone as a tool of ostentation and fashion, depression, self-control, and teacher control over the use of smartphone. Factors influencing smartphone addiction for girls were stress, the motivation to use smartphone as a tool of ostentation and fashion.

Conclusion

The results suggest that it is necessary to consider gender characteristics in order to develop effective management programs for smartphone addiction in middle school students.

Keywords: Addiction, Gender, Stress, Motivation, Depression

Figures and Tables

Table 1

General Characteristics and Smartphone Use Characteristics of Boys and Girls in Middle School (N=390)

^*Fisher's exact test.

Table 2

Comparison of the Level of Smartphone Addiction and Independents Variables of Boys and Girls in Middle School. (N=390)

Table 3

Correlation between Smartphone Addiction and Independent Variables (N=390)

Table 4

Factors Influencing Smartphone Addiction in Middle School Boys and Girls (N=386)

Notes

This manuscript is based on a part of the first author's master thesis from Kyung Hee University.

References

1. Shin GW, Kim DI, Jeong YJ, Lee JY, Lee YH, Lim MC, et al. Development of Korean smartphone addiction proneness scale for youth and adults. Smartphone Proneness Scale Evaluation Report. Seoul: National Information Society Agency;2011. 11. Report No. NIA IV-RER-11051.

2. Kim EY. Smartphone usage and addiction youth survey. In : Korea Speech & Commun Assoc. Spring Conference; Seoul, Korea. 2013. p. 41–53.

3. Koo HY. Factors influencing cell phone addiction in middle school students by gender. Korean Parent Child Health J. 2012; 15(2):60–70.

4. Lee SJ, Moon HJ. Effects of self-control, parent-adolescent communication, and school life satisfaction on smart-phone addiction for middle school students. Korean J Hum Ecol. 2013; 22(6):587–598. DOI: 10.5934/kjhe.2013.22.6.587.

5. Lee JJ. Smartphone addiction winning analog aducation. Goyang: Chungangwiz;2014. p. 264.

6. Zhang YF, Bang MY. Analysis of variables influencing on the addiction tendencies of chinese high school students at-risk for smartphone addiction. J Spec Child Educ. 2014; 16(3):209–226.

7. Roh SZ. Analysis of the structural relationships among environmental and personal-psychological factors, smartphone usage motivation affecting high-school student's smartphone addiction. J Educ Inf Media. 2013; 19(4):659–691.

8. Hwang SI. A study on ecological factors affecting adolescent smartphone addiction[master's thesis]. [Gwangju]: Chosun University;2013. 91.

9. Jeon JS, Kim SK, Park EJ. An analysis of difference on internet addiction by middle school students, in accordance of father's briging-up attitude. Korean J Youth Stud. 2008; 15(2):257–275. http://210.101.116.18/kiss10/viewer.asp.

10. Cohen S, Kamarch T, Mermelstein R. A global measure of perceived stress. J Health Soc Behav. 1983; 24(4):385–396. DOI: 10.2307/2136404.

11. Radloff L. The CES-D Scale: A self report depression scale for research in the general population. Appl Psychol Meas. 1977; 1(3):385–401. DOI: 10.1177/014662167700100306.

12. Chon KK, Choi SJ, Yang BC. Integrated adaptation of CES-D in Korea. Korean J Health Psychol. 2001; 6(1):59–76.

13. Gottfredson MR, Hirschi T. A general theory of crime. CA: Stanford University Press;1990. p. 297.

14. Kim HS, Kim HJ. Model development of affecting factors on health behavior and juvenile delinquency of adolescents. J Korean Soc Sch Health. 1998; 11(2):171–187.

15. Nam HM, Ok SH. The effects of psychological family environment, self-control and friends characteristics of middle school students on their problem behaviors. J Korean Home Econ Assoc. 2001; 39(7):37–58.

16. Yang IY, Lee SY. Exploring smartphone early adopters categories on the basis of motivations. Korean J Journal Commun Stud. 2011; 55(1):109–139.

17. Barnes HL, Olson DH. Parent-adolescent communication and the circumplex model. Child Dev. 1985; 56:438–447.

18. Cha YR. A study on the children's school adjustment [master's thesis]. [Seoul]: Yonsei University;2001. 82.

19. Cho CB, Jung CK. A factor analysis on the relation between the internet addiction of adolescent and family & school background. J Korea Soc Comput Inf. 2001; 6(4):168–178.

20. Kim DH. The effects of Internet use on the lives of middle & high school students [master's thesis]. [Gangneung]: Catholic Kwandong University;2005. 25.

21. Lee SS. The effects of internet sexually explicit materials on juvenile sexual delinquency. Korean Criminol Rev. 2003; 14(4):61–114.

22. Pott NL, Mandleco BL. Pediatric nursing: caring for children and their families. New York: Delmar;2002. p. 1536.

23. Cho MK. The relationships among smartphone use motivations, addiction, and self-control in nursing students. J Digit Converg. 2014; 12(5):311–323. DOI: 10.14400/JDC.2014.12.5.311.

24. Hwang HS, Sohn SH, Choi YJ. Exploring factors affecting smart-phone addiction-characteristics of users and functional attributes. Korea J Broadcast Telecommun Stud. 2011; 25(2):77–313. http://www.dbpia.co.kr/Journal/PDFView?id=NODE01622481.

TOOLS

Similar articles