Child Health Nursing Research

Korean Academy of Child Health Nursing (한국아동간호학회)
권호 표지
DOI QR코드

DOI QR Code

Cell Phone Addiction in School-Age Children and Related Factors

학령 초기 아동의 휴대전화 중독 정도와 영향 요인

  • 구현영 (대구가톨릭대학교 간호대학) ;
  • 김은정 (워싱턴대학교 간호대학)
  • Received : 2014.11.12
  • Accepted : 2015.01.08
  • Published : 2015.01.31
Download PDF
⟨ Previous Next ⟩

Abstract

Purpose: The purpose of this study was to identify cell phone addiction in school-age children and factors influencing addiction. Methods: The participants were 163 parents of elementary school students in the 1st to 4th grades. Data were collected through self-report questionnaires completed by the parents, and analyzed using the SPSS/WIN 19.0 IBM program. Results: Of the children, 86.5% were reported as being average users, 9.2%, at risk users, and 4.3%, at high risk users. Cell phone addiction in the children was significantly different according to games played by the children and parents' monthly income. Significant factors influencing cell phone addiction in the children were children's self-control, games played by the children, parents' cell phone addiction and parental control for children's cell phone use, explaining 24% of variance in cell phone addiction. Conclusion: The findings indicate that cell phone addiction in school-age children is influenced by parent-related factors as well as personal factors. Therefore approaches to education programs on cell phone use in school-age children should include parent-related factors as well as personal factors of the children.

목적 본 연구의 목적은 초등학교 1-4학년생인 학령 초기 아동의 부모를 대상으로 아동의 휴대전화 중독 정도를 알아보고, 개인적 특성과 부모 관련 특성이 휴대전화 중독 정도에 미치는 영향을 파악하는 것이다. 방법 초등학교 1-4학년 아동의 부모 163명을 대상으로 아동의 휴대전화 중독 정도 및 자기 통제력과 부모의 휴대전화 중독 정도 및 휴대전화 사용 통제에 대한 설문지를 작성하도록 하였다. 수집된 자료는 SPSS/WIN 19.0 IBM 프로그램을 사용하여 t-test, one-way ANOVA, Pearson's correlation coefficient 및 stepwise multiple regression으로 검정하였다. 결과 학령 초기 아동의 휴대전화 중독 정도를 표준점수에 따라 분류하면, 일반 사용군이 86.5%, 위험 사용군이 9.2%, 고위험 사용군이 4.3%였다. 아동의 휴대전화 중독 정도는 아동의 게임 여부와 부모의 월수입에 따라 유의한 차이가 있었다. 또한 아동의 휴대전화 중독 정도는 부모의 휴대전화 사용 정도와 순 상관관계가 있었고, 아동의 자기 통제력 및 부모의 휴대전화 사용 통제와 역 상관관계가 있었다. 학령 초기 아동의 휴대전화 중독에 영향을 미치는 요인은 아동의 자기 통제력, 아동의 게임 여부, 부모의 휴대전화 중독 정도 및 부모의 휴대전화 사용 통제였으며, 이들 요인의 설명력은 24%였다. 결론 학령 초기 아동의 휴대전화 중독 정도는 개인적 특성뿐 아니라 부모 관련 특성에 의해 영향을 받는다는 사실을 알 수 있다. 따라서 학령초기 아동의 올바른 휴대전화 사용을 위한 중재방안과 부모교육 프로그램을 개발하여 실시할 때 개인적 특성뿐 아니라 부모 관련 특성을 고려해야 한다.

Keywords

References

  1. Bandura, A. (1999). Social cognitive theory: An agentic perspective. Asian Journal of Social Psychology, 2(1), 21-41. http://dx.doi.org/10.1111/1467-839X.00024
  2. Carbonell, X., Guardiola, E., Beranuy, M., & Belles, A. (2009). A bibliometric analysis of the scientific literature on internet, video games, and cell phone addiction. Journal of the Medical Library Association, 97(2), 102-107. http://dx.doi.org/10.3163/1536-5050.97.2.006
  3. Chahal, H., Fung, C., Kuhle, S., & Veugelers, P. J. (2012). Availability and night-time use of electronic entertainment and communication devices are associated with short sleep duration and obesity among Canadian children. Pediatric Obesity, 8(1), 42-51. http://dx.doi.org/10.1111/j.2047-6310.2012.00085.x
  4. Gentile, D. A., Nathanson, A. I., Rasmussen, E. E., Reimer, R. A., & Walsh, D. A. (2012). Do you see what I see? Parent and child reports of parental monitoring of media. Family Relations, 61(3), 470-487. http://dx.doi.org/10.1111/j.1741-3729.2012.00709.x
  5. Godinho, J., Araujo, J., Barros, H., & Ramos, E. (2014). Characteristics associated with media use in early adolescence. Cadernos de Saude Publica, 30(3), 587-598. http://dx.doi.org/10.1590/0102-311x00100313
  6. Hardell, L., Carlberg, M., Söderqvist, F., Mild, K. H., & Morgan, L. L. (2007). Long-term use of cellular phones and brain tumours: Increased risk associated with use for  10 years. Occupational and Environmental Medicine, 64(9), 626-632. http://dx.doi.org/10.1136/oem.2006.029751
  7. Hofferth, S. L., & Moon, U. J. (2012). Cell phone use and child and adolescent reading proficiency. Psychology of Popular Media Culture, 1(2), 108-122. http://dx.doi.org/10.1037/a0027880
  8. IT Statistics Korea. (2014). Overall wireless communication service administration. Retrieved September 29, 2014, from http://www.itstat.go.kr/en/stat.it?no=1444
  9. Jago, R., Edwards, M. J., Urbanski, C. R., & Sebire, S. J. (2013). General and specific approaches to media parenting: A systemic review of current measures, associations with screen-viewing, and measurement implications. Childhood Obesity, 9, S51-72. http://dx.doi.org/10.1089/chi.2013.0031
  10. Jang, H. J., & Chae, K. M. (2006). The psychological characteristics of adolescents with technological addiction: Cellular phone addiction. The Korean Journal of Health Psychology, 11, 839-852.
  11. Kendall, P. C., & Wilcox, L. E. (1979). Self-control in children: Development of a rating scale. Journal of Consulting and Clinical Psychology, 47, 1020-1029. https://doi.org/10.1037/0022-006X.47.6.1020
  12. Kim, B. K., Yun, S. O., & Lee, H. G. (2006). The analysis for the causes of mobile phone addiction. Seoul: Korea Agency for Digital Opportunity & Promotion.
  13. Kim, H. W. (2013). Excessive use of smart-phone in infants and toddlers increases the incidence of tic disorder. Retrieved September 29, 2014, from http://media.daum.net/breakingnews/newsview?newsid=20140912083604227
  14. Ko, J. H. (2006). Saving my child who addicted cellular phone. Seoul: Yedam.
  15. Koo, H. Y. (2010). Cell phone addiction in highschool students and its predictors. Journal of Korean Academy of Child Health Nursing, 16(3), 203-210. http://dx.doi.org/10.4094/jkachn.2010.16.3.203
  16. Koo, H. Y. (2013). Development of a cell phone addiction scale for Korean parents of young children. Child Health Nursing Research, 19(1), 29-38. http://dx.doi.org/10.4094/chnr.2013.19.1.29
  17. Kwon, S. H., & Lee, J. E. (2011). Development of prototype for mobile learning with 3G mobile phone. Journal of Lifelong Learning Society, 7(2), 41-69. https://doi.org/10.26857/JLLS.2011.08.7.2.41
  18. Lee, A. R., & Lee, K. G. (2012). The effects of parental factors, friend's factors, and psychological factors on the addictive mobile phone use of children. The Journal of Child Education, 21(2), 27-39.
  19. Lee, E. O., Im, N. Y., Park, H. A., Lee, I. S., Kim, J. I., Bae, J. I., et al. (2009). Nursing/medical research and statistical analysis. Seoul: Soomoonsa.
  20. Lee, H. G. (2008). Exploration the predicting variables affecting the addictive mobile phone use. Korean Journal of Social and Personality Psychology, 22(1), 133-157.
  21. Lee, S. D., & Yeum, D. M. (2012). The meta-analysis on the variables affecting the teenagers' mobile phone addiction. Journal of Future Oriented Youth Society, 9(4), 163-181.
  22. Moon, Y. I., Koo, H. Y., & Park, H. R. (2005). Scope of internet addiction and predictors of addiction in Korean children in early elementary school. Korean Journal of Child Health Nursing, 11(3), 263-272.
  23. Oh, T. G., & Pyo, Y. S. (2009). An activating plan for geometry lessons using the multi-function keys in cell-phones. Journal of Educational Research, 17, 129-154.
  24. Park, H. J. (2003). Effects of self-control, self-efficacy, and parents' negative rearing attitude on the internet addiction of elementary school students. Unpublished Master's thesis. Pusan National University, Busan.
  25. Raskauskas, J. (2010). Text-bullying: Associations with traditional bullying and depression among New Zealand adolescents. Journal of School Violence, 9(1), 74-97. http://dx.doi.org/10.1080/15388220903185605
  26. Seo, M. Y., & Lim, E. M. (2010). Infants' and low-grade elementary students' internet game addiction tendency and the relationship between game addiction tendency and personality characteristics. The Journal of Child Education, 19(4), 163-175.
  27. Thurlow, C. (2006). From statistical panic to moral panic: The metadiscursive construction and popular exaggeration of new media language in the print media. Journal of Computer-Mediated Communication, 11(3), 667-701. http://dx.doi.org/10.1111/j.1083-6101.2006.00031.x
  28. Vandewater, E. A., & Lee, S. J. (2009). Measuring children's media use in the digital age: Issues and challenges. American Behavioral Scientist, 52(8), 1152-1176. http://dx.doi.org/10.1177/0002764209331539
  29. Weisskirch, R. S. (2009). No crossed wires: Cell phone communication in parent-adolescent relationships. Cyberpsychology, Behavior, and Social Networking, 14(7-8), 447-451. http://dx.doi.org/10.1089/cyber.2009.0455
  30. Young, K. S. (1998). Caught in the net: How to recognize the signs of internet addiction and a winning strategy for recovery. New York, NY: John Wiley & Sons, Inc.

Cited by

  1. 부모의 매체 사용과 교육 요구 및 자녀 지도가 아동의 매체 사용에 미치는 영향 vol.21, pp.2, 2015, https://doi.org/10.4094/chnr.2015.21.2.183
  2. 초등학생의 휴대전화 중독적 사용과 학습활동의 종단적 관계 검증 : 성별 간 다집단 복합 분석 vol.13, pp.8, 2015, https://doi.org/10.14400/jdc.2015.13.8.267
  3. 초기청소년의 휴대전화의존도와 자기조절학습 간 자기회귀교차지연 효과 검증: 성별 간 다집단 분석 vol.37, pp.4, 2015, https://doi.org/10.5723/kjcs.2016.37.4.17
  4. 과잉간섭 양육방식이 휴대 전화의존도에 미치는 영향 -우울의 매개효과를 중심으로 vol.18, pp.8, 2015, https://doi.org/10.5762/kais.2017.18.8.200
  5. Smartphone Use Patterns of Smartphone-dependent Children vol.26, pp.1, 2020, https://doi.org/10.4094/chnr.2020.26.1.47
  6. 아동의 학업스트레스, 그릿, 집행기능 곤란 및 미디어기기 과의존 간의 구조적 관계 vol.59, pp.3, 2015, https://doi.org/10.6115/fer.2021.028