J Korean Med Sci.  2017 Oct;32(10):1674-1679. 10.3346/jkms.2017.32.10.1674.

Risk Factors for Smartphone Addiction in Korean Adolescents: Smartphone Use Patterns

• Lee H
• Kim JW
• Choi TY

• KMID: 2400441
• DOI: http://doi.org/10.3346/jkms.2017.32.10.1674

Abstract

With widespread use of the smartphone, clinical evidence for smartphone addiction remains unclear. Against this background, we analyzed the effect of smartphone use patterns on smartphone addiction in Korean adolescents. A total of 370 middle school students participated. The severity of smartphone addiction was measured through clinical interviews and the Korean Smartphone Addiction Proneness Scale. As a result, 50 (13.5%) were in the smartphone addiction group and 320 (86.5%) were in the healthy group. To investigate the effect of smartphone use patterns on smartphone addiction, we performed self-report questionnaires that assessed the following items: smartphone functions mostly used, purpose of use, problematic use, and parental attitude regarding smartphone use. For smartphone functions mostly used, the addiction group showed significantly higher scores in "Online chat." For the purpose of use, the addiction group showed significantly higher "habitual use,""pleasure,""communication,""games,""stress relief,""ubiquitous trait," and "not to be left out." For problematic use, the addiction group showed significantly higher scores on "preoccupation,""tolerance,""lack of control,""withdrawal,""mood modification,""conflict,""lies,""excessive use," and "loss of interest." For parental attitude regarding children's smartphone use, the addiction group showed significantly higher scores in "parental punishment." Binary logistic regression analysis indicated that "female,""use for learning,""use for ubiquitous trait,""preoccupation," and "conflict" were significantly correlated with smartphone addiction. This study demonstrated that the risk factors for smartphone addiction were being female, preoccupation, conflict, and use for ubiquitous trait; the protective factor was use for learning. Future studies will be required to reveal the additional clinical evidence of the disease entity for smartphone addiction.

Keyword

Smartphone; Addiction; Adolescent

MeSH Terms

Adolescent*
Female
Humans
Learning
Logistic Models
Parents
Protective Factors
Risk Factors*
Smartphone*

Reference

1. Park MJ, Park GD, Lee YY, Oh JA. Smartphone use actual condition for research. Seoul: Kyung Hee Cyber University;2012.

2. Ministry of Science, ICT and Future Planning (KR). The demographics of domestic subscribers to smartphones [Internet]. accessed on 23 May 2016. Available at www.msip.go.kr/web/msipContents/contents.do?mId=MTQ2.

3. National Information Society Agency (KR). 2013 survey on the side effect of Internet addiction [Internet]. accessed on 23 May 2016. Available at www.nia.or.kr/site/nia_kor/ex/bbs/View.do?cbIdx=65914&bcIdx=13015&parentSeq=13015.

4. American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders. 5th ed. Washington, D.C.: American Psychiatric Association;2013.

5. Seo MJ, Choi TY, Woo J, Kim J, Lee J. A comparative study of smartphone and Internet addiction on adolescent psychopathology. J Korean Soc Biol Ther Psychiatry. 2013; 19:154–162.

6. Smetaniuk P. A preliminary investigation into the prevalence and prediction of problematic cell phone use. J Behav Addict. 2014; 3:41–53.

7. Seo CM, Lee JH, Choi TY, Kim J, Shin I, Woo J. Study for relations between smart-phone addiction level and Korea youth self report. J Korean Soc Biol Ther Psychiatry. 2012; 18:223–230.

8. Choi SW, Kim DJ, Choi JS, Ahn H, Choi EJ, Song WY, Kim S, Youn H. Comparison of risk and protective factors associated with smartphone addiction and Internet addiction. J Behav Addict. 2015; 4:308–314.

9. Lee H, Seo MJ, Choi TY. The effect of home-based daily journal writing in Korean adolescents with smartphone addiction. J Korean Med Sci. 2016; 31:764–769.

10. Lee YS, Lee DH, Kim EY, Kang SY, Kim RS, Choi YH, Yoon MJ. Parent Education Program Manual for Smartphone Addiction. Seoul: Korea Youth Counseling & Welfare Institute;2013.

11. Kim D, Lee Y, Lee J, Nam JK, Chung Y. Development of Korean smartphone addiction proneness scale for youth. PLoS One. 2014; 9:e97920.

12. National Information Society Agency (KR). Development of Korean smartphone addiction proneness scale for youth and adults [Internet]. accessed on 23 May 2016. Available at www.iapc.or.kr/info/mediaAddc/showInfoMediaAddcDetail.do?article_id=ICCART_0000000003777&board_type_cd=A1.

13. Weiser EB. Gender differences in Internet use patterns and Internet application preferences: a two-sample comparison. Cyberpsychol Behav. 2004; 3:167–178.

14. Rees H, Noyes JM. Mobile telephones, computers, and the Internet: sex differences in adolescents' use and attitudes. Cyberpsychol Behav. 2007; 10:482–484.

15. Lee YJ, Lee SI, Lee AR, Bahn GH, Choi TY, Kim JY, Kim JH, Park EJ, Park JS, Bhang SY, et al. Attitudes of psychiatrists towards smartphone usage of children and adolescents. J Korean Neuropsychiatr Assoc. 2015; 54:556–563.

16. Kalivas PW, Volkow ND. The neural basis of addiction: a pathology of motivation and choice. Am J Psychiatry. 2005; 162:1403–1413.

17. Prochaska JO, DiClemente CC, Norcross JC. In search of how people change. Applications to addictive behaviors. Am Psychol. 1992; 47:1102–1114.

18. Han DH, Kim SM, Lee YS, Renshaw PF. The effect of family therapy on the changes in the severity of on-line game play and brain activity in adolescents with on-line game addiction. Psychiatry Res. 2012; 202:126–131.

19. Lee H, Choi TY. The psychosocial approaches of Internet/game addiction. J Korean Soc Biol Ther Psychiatry. 2015; 21:65–72.