DOI QR코드

DOI QR Code

The Effect of Self-Identity on Smart phone Addiction

  • Received : 2017.03.25
  • Accepted : 2017.04.18
  • Published : 2017.06.30

Abstract

The purpose of this study was to investigate the relationship between self-identity and smart phone addiction among University students. This study used descriptive cross sectional study to analyze the relationship between self-identity and smart phone addiction. Study participants included 357 University students located in C province who selected through volunteered, but 10 missing data were excluded and finally 347 participants completed the study. The study data were collected using self-identity tool made by Park A chung in 1996 which was composed of Independence, Proprioception, Future conviction, Goal orientation, Initiate, and Intimacy and Smart phone addiction tool made by National information society agency. The self-identity's Cronbach's alpha was .937 and Smart phone was .670. All data analyses were performed using SPSS 18.0. Results showed that most students were not addicted(97.1%) in Smart phone using and middle level(73.2%) of self identity. Also, there was a difference in self - identity level according to gender and grade(the ratio of smart phone general users, not at all addicted, was 90.79% for males and 98.53% for females), and there was difference in Smart phone addiction level according to gender and residence type(the ratio of Smart phone general users, not at all addicted, is 99.32% for commute, 97.04% for dormitory, and 89.66% for self governing). Also there were strongly related with self-identity and Smart phone addiction(p < .001). This results reveled that self-identity affect to Smart phone addiction, therefore it is important to raise self-identity to prevent Smart phone addiction for University students.

References

  1. Baumel A, Pawar A, Mathur N, Kane JM, Correll CU, Techonology-Assisted Parent Training Programs for Children and Adolescents with Disruptive Behaviors: A Systematic Review, J Clin Psychiatry, doi: 10.4088/JCP, 2017.
  2. Milesi C, Perez-Felkner L, Brown K, Schneider B, Engagement, Persistence, and Gender in Computer Science: Results of a Smartphone ESM Study, 25(8) 602, 2017.
  3. Jang H, Ahmed SR, Neethirajan S, GryphSens: A Smartphone-Based Portable Diagnostic Reader for Rapid Detection of Progesterone in Milk. 17(5). pii:E1079, 2017.
  4. Tang Z, Zhang H, Yan A, Qu C, Time is Money: The Decision Making of Smartphone High Users in Gain and Loss Intertemporal Choice, 10(8):363, doi:10.3389/fpsyg. 2017. May.
  5. Wimer HH, Sherman LE, Chein JM, Smartphones and Cognition: A Review of Research Exploring the Links between Mobile Technology Habits and Cognitive Functioning, 25(8):605. 2017.
  6. Amichai-Hamburger Y, Etgar S, Intimacy and Smartphone Multitasking-A Nwq Oxymoron?, Psychol Rep, 119(3):826-838, 2016. https://doi.org/10.1177/0033294116662658
  7. 'Internet Usage Survey in 2008' Korea Information &Culture Promotion Agency, Seoul, 2009.
  8. Development of smartphone addiction measurement tool, Korea Information &Culture Promotion Agency, Seoul, 2012.
  9. Kim JS, Effects of Smartphone Addiction Level on Adolescents School Adjustment. Unpublished Master thesis, Jeonam Mokpo University. 2015.
  10. Kim Hak Bum, The Study on the Relationship between Smart Phone Addiction and Cybercrime, Korea Addiction Crimes Bulletin, 3(2), 1-21, 2013.
  11. Kwon SH, Choi YJ, A Study on Smartphone Addiction: Focusing on the Characterization of Risky Group of Poisoning Using Grounded Theory Approach, I, 1-18, 2016.
  12. Kim BK, Lee CH, Jeon MJ, Development of Residential Treatment Program for Smart-Phone Addicted Adolescent, Youth Counseling Research, 24(2), 2016.
  13. Ahn JA, A study on the Smart phone Use Behavior and Addiction of University Students: Focused on Effect of Depression, Impulsivity and Interpersonal Relation, Campus Life, Journal of Media Science, 16(4), 2016.
  14. Causal relations among adjustments in family and college, individuation and ego-identity in college students, Park A chung, Child education, 10(1), 161-173, 2001.
  15. Erikson, E. H. Identity:youth and crisis, New York: Norton, 1968.
  16. Park A chung, A validation study of Korean type self-identity test, Journal of Korean Educational Psychology, 19 (3), 373-392, 2012.
  17. Venkatesh E, Jemal My, Samani AS, Smart phone usage and addiction among dental students in Saudi Arabia: a cross sectional study, Int J Adolesc Med Health, pii:/j/ijamh.ahead-of-print/ijmh, 2017.
  18. Lee HA H, Nguyen TG, Choi SW, Kim DJ, Comparing the self-Report and Measured Smartphone Usage of College Students: A Pilot study, Psychiatry Investig, 14(2):198-204, 2017. https://doi.org/10.4306/pi.2017.14.2.198
  19. Im, HY, Hwang, CI, A comparative study on the ego identity of college students in real space and virtual space, Educational Development Institute, 27(1), 129-151, 2011.
  20. Pinter JN, Kassai S, Racz J, Assessing identity formation of synthetic cannabinoid products's users-an interpretative phenomenological analysis, Psychiatr Hung. 31(4):313-326, 2016.
  21. Cerniqlia L, Zoratto F, Cimmino S, Laviola G, Ammaniti M, Adriani W, Internet Addiction in adolecence: Neurobiological, pstchosocial and clinical issues, Neurosci Biobehav Rev, 76(Pt A): 174-184. 2017. https://doi.org/10.1016/j.neubiorev.2016.12.024
  22. Bakula DM, Mullins AJ, Sharkey CM, Wolfe-Christensen C, Mullins LL, Wisniewski AB, Gender identity outcomes in children with disorders/differences of sex development: Predictive factors, Semin Perinatol, pii:S0146-0005(17)30024-1, 2017. https://doi.org/10.1053/j.semperi.2017.03.010
  23. Kormendi A, smart phone usage among adolescents, Psychiatr Hung, 20(3):297-302, 2015.
  24. Moore D, Pienarr K, Dikes-Frayne E, Fraser S, Challenging the addiction / health binary and assemblage thinking: An analysis of consumer accounts, Int J Drug Policy, pii:S0955-3959(17)30012-4, 2017.
  25. Schonfelder S, Langer J, Schneider EE, Wessa M, Mania risk is characterized by an aberrant optimistic update bias for positive life events, J Affect Disord, 30;218:313-321, 2017. https://doi.org/10.1016/j.jad.2017.04.073
  26. Lee SY, Journal of Adolescent Welfare, 16 (1), 109-128, 2014.