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청소년의 스마트폰 중독에 영향을 미치는 요인

Factors Influencing Smartphone Addiction in Adolescents

  • 이은지 (연세대학교 대학원 간호학과) ;
  • 김윤경 (마산대학교 간호학과) ;
  • 임수진 (인천가톨릭대학교 간호대학)
  • Lee, Eun Jee (Department of Nursing, The Graduate School, Yonsei University) ;
  • Kim, Yune Kyong (Department of Nursing, Masan University) ;
  • Lim, Su-Jin (College of Nursing, Incheon Catholic University)
  • 투고 : 2017.09.01
  • 심사 : 2017.10.18
  • 발행 : 2017.10.31

초록

Purpose: The purpose of this study was to verify the relationship among depression, school adjustment, parent-child bonding, parental control and smartphone addiction, and to identify factors which influence smartphone addiction in adolescents. Methods: A cross-sectional design was used, with a convenience sample of 183 middle school students from 3 middle schools. Data collection was conducted through self-report questionnaires from April to May, 2017. Data were analyzed using ${\chi}^2$ test, Fisher's exact test, t-test, one-way ANOVA, correlation coefficient analysis, and binary logistic regression with SPSS Ver. 21.0. Results: The mean score for smartphone addiction was 29.40. Of the adolescents, 21.3% were in the smartphone addiction risk group. Logistic regression analysis showed that gender (OR=7.09, 95% Cl: 2.57~19.52), school life (OR=0.86, 95% Cl: 0.79~0.93), smartphone usage time (OR=1.32, 95% Cl: 1.04~1.66), and parental control (OR=4.70, 95% Cl: 1.04~21.29) were effect factors for the smartphone addiction risk group. Conclusion: Findings indicate that school satisfaction was an important factor in adolescents' smartphone addiction. Control oriented parent management of adolescents' smartphone use did not reduce the risk of smartphone addiction and may have worsen the addiction. Future research is needed to improve understanding of how teachers and parents will manage their adolescents' use of smartphones.

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참고문헌

  1. Gallup Korea. Survey about usage of smartphone and smartwatch in 2012-2016 [Internet]. Seoul: Gallup Korea; 2016 [cited 2017 April 28]. Available from: http://www.gallup.co.kr/gallupdb/reportContent.asp?seqNo=761.
  2. Korea Information Society Development Institute. The analysis of smartphone held and use behavior in children and adolescents. KISDI STAT Report. Seoul: Korea Information Society Development Institute; 2015 December. Report No.: 15-18.
  3. National Information Society Agency. Development of Korean smartphone addiction proneness scale for youth and adults. R&D Report. Seoul: National Information Society Agency; 2011 November. Report No.: NIA IV-RER-11051.
  4. Ministry of Gender Equality and Family. The result from the 2016 national survey of the diagnosis on internet and smartphone usage habits [Internet]. Seoul: Ministry of Gender Equality and Family; 2016 [cited 2017 April 30]. Available from: https://www.nhrd.net/board/view.do?dataSid=26200&boardId=BBS _0000006&menuCd=DOM_000000102005000000.
  5. Kim BN, Ko EJ, Choi HI. A study on factors affecting smart-phone addiction in university students: A focus on differences in classifying risk groups. Studies on Korean Youth. 2013;24(3):67-98.
  6. Kwon M, Lee JY, Won WY, Park JW, Min JA, Hahn CT, et al. Development and validation of a smartphone addiction scale (SAS). PloS one. 2013;8(2):e56936. https://doi.org/10.1371/journal.pone.0056936
  7. Korean Institute of Criminology. Study on the public awareness of pornography using children and youth and effective regulation. Research Series. Seoul: Korean Institute of Criminology; 2016 December. Report No.: 16-AA-09.
  8. American Psychiatric Association. Diagnostic and statistical manual of mental disorders. (DSM-5). 5th ed. Arlington, VA: American Psychiatric Publishing; 2013. p. 481.
  9. Billieux J, Maurage P, Lopez-Fernandez O, Kuss DJ, Griffiths MD. Can disordered mobile phone use be considered a behavioral addiction? An update on current evidence and a comprehensive model for future research. Current Addiction Reports. 2015;2(2):156-162. https://doi.org/10.1007/s40429-015-0054-y
  10. Kim JH, Seo MH, David P. Alleviating depression only to become problematic mobile phone users: Can face-to-face communication be the antidote? Computers in Human Behavior. 2015;51:440-447. http://dx.doi.org/10.1016/j.chb.2015.05.030
  11. Ko JS. Mediating effect of adolescents' smart-phone addiction in the relationship between family function and school adjustment resilience. Journal of the Korea Contents Association. 2014;14(6):140-151. http://dx.doi.org/10.5392/JKCA.2014.14.06.14
  12. Choi JO. The impacts of smartphone addiction on academic grade of elementary school students. Journal of Korea Institute of Youth Facility & Environment. 2015;13(2):43-54.
  13. Cha DS. Effects of negative smartphone usage of elementary school students on health with a special emphasis on moderating effects of parenting attitudes. Journal of School Social Work. 2017;38:99-124. https://doi.org/10.20993/jSSW.38.5
  14. Hwang KH, Yoo YS, Cho OH. Smartphone overuse and upper extremity pain, anxiety, depression, and interpersonal relationships among college students. The Journal of the Korea Contents Association. 2012;12(10):365-375. http://dx.doi.org/10.5392/JKCA.2012.12.10.365
  15. Lee KM. A study of middle-school students’ school adjustment constructs. The Korean Journal of Counseling and Psychotherapy. 2005;17(2):383-398.
  16. Ju SJ, Cho SS. A study on the discriminating factors of youth's smartphone addiction: Focusing on daily average smartphone usage time, impulsivity, peer relationships, mother's authoritarianism-rearing attitudes. Journal of Youth Welfare. 2015;17(1):97-118.
  17. Ministry of Gender Equality and Family. Actual condition survey of smartphone addiction in adolescents. Research Report. Seoul: Ministry of Gender Equality and Family; 2013 November. Report No.: 11-1383000-000415-01.
  18. Wu XS, Zhang ZH, Zhao F, Wang WJ, Li YF, Bi L, et al. Prevalence of internet addiction and its association with social support and other related factors among adolescents in China. Journal of Adolescence. 2016;52:103-111. https://doi.org/10.1016/j.adolescence.2016.07.012
  19. World Health Organization. Depression [Internet]. 2012 [cited 2016 September 28]. Available from: http://www.who.int/topics/depression/en/.
  20. Kovacs M. The children’s depression inventory (CDI). Psychopharmacology Bulletin. 1985;21(4):995-998.
  21. Cho SC, Lee YS. Development of the Korean form of the Kovacs' Children's Depression Inventory. Journal of Korean Neuropsychiatric Association. 1990;29(4):943-956.
  22. Parker G, Tupling H, Brown LB. A parental bonding instrument. British Journal of Medical Psychology. 1979;52(1):1-10. https://doi.org/10.1111/j.2044-8341.1979.tb02487.x
  23. Song JY. The development of the Parental Bonding Instrument - Korean version: Evaluation of the test reliability and validity. Journal of Korean Neuropsychiatric Association. 1992;31(5):979-992.
  24. Roberts JA, Yaya LHP, Manolis C. The invisible addiction: Cell-phone activities and addiction among male and female college students. Journal of Behavioral Addictions. 2014;3(4):254-265. https://doi.org/10.1556/JBA.3.2014.015
  25. Nam IS. A rising addiction among youths: Smartphones [Internet]. New York: Dow Jones & Company; 2013 [cited 2017 August 31]. Available from: http://www.wsj.com/articles/SB10001424127887324263404578615162292157222.
  26. Park NS, Oh HY. Impact of adolescent life stress and smartphone use on academic impairment: Focusing on the effect of parent involvement on adolescents' smartphone use. The Journal of the Korea Contents Association. 2016;16(9):590-599. http://dx.doi.org/10.5392/JKCA.2016.16.09.590
  27. Stattin H, Kerr M. Parental monitoring: A reinterpretation. Child Development. 2000;71(4):1072-1085. https://doi.org/10.1111/1467-8624.00210
  28. American Academy of Pediatrics. Children, adolescents, and the media. Pediatrics. 2013;132(5):958-961. https://doi.org/10.1542/peds.2013-2656
  29. Livingstone S, Haddon L. EU Kids Online: Final report. London: London School of Economics and Political Science; 2009. p. 18
  30. Yoo TJ, Kim SS. Impact of perceived parenting styles on depression and smartphone addition in college students. Journal of Korean Academy of Psychiatric and Mental Health Nursing. 2015;24(2):127-135. https://doi.org/10.12934/jkpmhn.2015.24.2.127

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  8. 스마트폰 런처에서 아이콘 자동 균형 배치의 수학적 분석 vol.24, pp.11, 2020, https://doi.org/10.6109/jkiice.2020.24.11.1457
  9. A Study on Correlation Analysis of Smart Phone Addiction and Age Groups in Korea vol.9, pp.4, 2017, https://doi.org/10.7236/ijasc.2020.9.4.106
  10. Relationships between Smartphone Addiction and Smartphone Usage Types, Depression, ADHD, Stress, Interpersonal Problems, and Parenting Attitude with Middle School Students vol.36, pp.19, 2017, https://doi.org/10.3346/jkms.2021.36.e129
  11. Effect of Maternal Factors on Problematic Smartphone Use among Elementary School Children vol.18, pp.17, 2017, https://doi.org/10.3390/ijerph18179182