Factors related to the Overuse of Mobile Phone in Elementary School Students

Kyoung Sook Lee; Hwang Ran Ahn; Kyung Hee Lee

doi:10.12934/jkpmhn.2011.20.3.271

Journal List > J Korean Acad Psychiatr Ment Health Nurs > v.20(3) > 1057909

Go to TopGo to Top Go to BottomGo to Bottom

TOOLS

Lee, Ahn, and Lee: Factors related to the Overuse of Mobile Phone in Elementary School Students

Original Article

Journal of Korean Academy of Psychiatric and Mental Health Nursing 2011; 20(3): 271-280.

Published online: 30 September 2011

DOI: https://doi.org/10.12934/jkpmhn.2011.20.3.271

Factors related to the Overuse of Mobile Phone in Elementary School Students

Kyoung Sook Lee¹, Hwang Ran Ahn², Kyung Hee Lee³

¹Professor for Lecture, Department of Nursing, Ulsan College, Korea.

²Professor, College of Nursing, Gyeongsang National University, Korea.

³Associate Professor, Department of Nursing, Ulsan College, Korea.

Address reprint requests to: Lee, Kyoung Sook, Department of Nursing, Ulsan College, 101 Bongsu-ro, Dong-gu, Ulsan 682-715, Korea. Tel: 82-52-230-0738, FAX: 82-52-230-0730, thinovation@naver.com

Received 11 July 2011 Revised 18 September 2011 Accepted 18 September 2011

(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 study was done to explore the correlation among mobile phone overuse, mental health and school adaptation, and to identify factors related mobile phone overuse.

Methods

A questionnaire was filled out by 943 elementary school students from 3rd to 6th grade in the cities of Busan and Ulsan. Frequency, percentage, mean and standard deviation, t-test, ANOVA, Pearson's correlation coefficients and stepwise multiple regression with SPSS/WIN 12.0 program were used to analyze the collected data.

Results

Mobile phone overuse in the elementary school students was positively correlated with mental health, and negatively correlated with school adaptation. Stepwise multiple regression analysis showed the factors as school grade, gender, depression, anxiety, learning adaptation, adaptation to friends and adaptation rules significantly accounted for 23% of the variance for mobile phone overuse. The most significant factor influencing overuse of mobile phone was school grade.

Conclusion

These results suggest that early screening and intervention programs for students with low mental health and low school adjustment would be helpful in preventing future mobile phone overuse.

Keywords: Mobile phone overuse, Mental health, School adaptation

Figures and Tables

Table 1

Differences of Mobile Phone Overuse, Mental Health and School Adaptation by Subject Characteristics (N=943)

Duncan's multiple range test (a>b>c).

Table 2

Differences of Mobile usage in Predictor Variables by Groups (N=943)

Duncan's multiple range test (a>b>c).

Table 3

Correlation between Mobile Overuse and Variables

Table 4

Factors Influencing Mobile Overuse (N=943)

^†Dummy variables (Gender: male=0, female=1; School grade: 3rd grade=0, 4th grade=1, 5th grade=2, 6th grade=3).

References

1. An HJ. A study on school adjustment and mental health in elementary school children from multicultural families in a rural city. J Korean Acad Psychiatr Ment Health Nurs. 2008; 17:383–391.

2. Choi SH. Health subjective symptoms and neurophysiological functions of school children using mobile phones. Seoul: Hanyang University;2008. Unpublished master's thesis.

3. Cohen J. Statistical power analysis for the behavioral science. 2nd ed.New York, NY: Academic Press;1988.

4. Dimonte M, Ricciuto G. Mobile phone and young people: A survey pilot study to explore the controversial aspects of a new social phenomenon. Minerva Pediatr. 2006; 58:357–363.

5. Goldberg D, Williams P. A user's guide to the general health questionnaire. England: NFER-Nelson;1991.

6. Gwag MJ. The study for adolescents' situation of using cellular phone and addictive usage. Cheongju: Chungbuk National University;2004. Unpublished master's thesis.

7. Ha YS. Mental health status of elementary school children. Cheongju: Chungbuk National University;2007. Unpublished master's thesis.

8. Han JS. The relationship among the mobile phone message, peer attachment and school adjustment of primary school pupil. Busan: Pukyong University;2008. Unpublished master's thesis.

9. Lee HS, Kang CY. Relationship among overuse of cellular phones, attachment and behavioral problems in middle schoolers. Stud Life Res. 2007; 20:79–95.

10. Lee JH. A study on relationship between elementary school students' cell phone usage and school adjustment. J North-East Asian Cult. 2010; 25:337–351.

11. Jang HJ. The psychological characteristics of adolescents addictive using cellular phone. Seoul: Sungshin University;2002. Unpublished master's thesis.

12. Kim HS, Bae SM, Hyun MH. Predicting mobile phone addiction in adolescents. Korean J Health Psychol. 2007; 12(2):383–393.

13. Koo HY. Development of a cell phone addiction scale for Korean adolescents. J Korean Acad Nurs. 2009; 39:818–828.

14. Koo HY, Park HS. Factors influencing addiction in adolescents. J Korean Acad Child Health Nurs. 2010; 16:56–65.

15. Lee H, Kim MS, Son HK, Ahn SH, Kim JS, Kim YH. Discrimination power of social-demographic and psychological variables on addictive use of cellular phones among middle school students. J Korean Acad Nurs. 2007; 37:957–965.

16. Lee JK, Hwang SJ. A study on teenagers' mobile phone use motives and addiction focusing on primary, middle and high school students in Seoul and Gyeonggi province. Korean J Broadcasting. 2009; 23(5):296–338.

17. Lee MH. A study of factors influencing elementary school students' addiction to mobile phones. Seoul: Korea University;2010. Unpublished master's thesis.

18. Ling R. We will be reached: The use of mobile telephony among Norwegian youth. Inf Technol People. 2000; 13(2):102–120.

19. Min BS. School adjustment and self-concept affects school performance. Seoul: Hongik University;1991. Unpublished master's thesis.

20. Mezei G, Benyi M, Muller A. Mobile phone ownership and use among school children in three Hungarian cities. Bioelectromagnetics. 2007; 28(4):309–315.

21. Myeong JG. [The total population of 50 million mobile phone subscribers surpassed the era] Asian Economy. 2010. Retrieved September 15, 2010. from http://www.asiae.co.kr/news/view.htm?idxno=2010091513425269502.

22. Ogata Y, Izumi Y, Kitaike T. Mobile-phone e-mail use, social networks, and loneliness among Japanese high school students. Nihon Koshu Eisei Zasshi. 2006; 53(7):480–492.

23. Salma OE, Abou EI, Naga RM. Cellular phones: Are they detrimental? J Egypt Public Health Assoc. 2004; 79:197–223.

24. Schreier N, Huss A, Roosli M. The prevalence of symptoms attributed to electromagnetic field exposure: A cross-sectional representative survey in Swizerland. Soz Praventivmed. 2006; 51(4):202–209.

25. Shin CH, Park YH. The relationship among types of life style and mental health and school life adjustment of elementary school students. Theory Pract Educ. 2005; 15:187–212.

26. Shin SI. The validity and reliability of the Korean version of the general health questionnaire. Korean J Soc Welf. 2001; 46:210–235.

27. Song EJ. The relationship between the using mobile phone and mental health state of high school students. J Korean Acad Psychiatr Ment Health Nurs. 2006; 15:325–333.

28. Walsh SP, White KM, Young RM. Overconnected? A Qualitative exploration of the relationship between Australian youth and their mobile phones. J Adolesc. 2007; 31:77–92.

29. Wiart J, Hadjem A, Gadi N, Bloch I, Wong MF, Pradier A, et al. Modeling of RF head exposure in children. Bioeletromagnetics. 2005; 26(7):19–30.

TOOLS

Similar articles