Associations between Smartphone Addiction Proneness and Psychopathology

스마트폰중독과 정신병리 사이의 상관관계

  • Lee, Sung-Jae (Department of Psychiatry, CHA Bundang Medical Center, CHA University) ;
  • Kim, Borah (Department of Psychiatry, CHA Bundang Medical Center, CHA University) ;
  • Choi, Tai Kiu (Department of Psychiatry, CHA Bundang Medical Center, CHA University) ;
  • Lee, Sang-Hyuk (Department of Psychiatry, CHA Bundang Medical Center, CHA University) ;
  • Yook, Ki-Hwan (Department of Psychiatry, CHA Bundang Medical Center, CHA University)
  • 이성재 (차의과학대학교 분당차병원 정신건강의학교실) ;
  • 김보라 (차의과학대학교 분당차병원 정신건강의학교실) ;
  • 최태규 (차의과학대학교 분당차병원 정신건강의학교실) ;
  • 이상혁 (차의과학대학교 분당차병원 정신건강의학교실) ;
  • 육기환 (차의과학대학교 분당차병원 정신건강의학교실)
  • Received : 2014.09.23
  • Accepted : 2014.10.01
  • Published : 2014.11.30

Abstract

Objectives This study aims to investigate possible associations between proneness toward smartphone addiction and certain psychopathological variables to evaluate the psychopathological meaning of smartphone addiction. Methods Questionnaires were assigned to 755 adults between September and November 2012. We used the Korean Smartphone Addiction Proneness Scale (SAPS), the Beck Depression Inventory (BDI), the Beck Anxiety Inventory (BAI), the Obsessive-Compulsive Inventory-Revised (OCI-R), and the Barratt Impulsivity Scale-11 (BIS-11). Subjects were classified into two groups according to the scores of the SAPS ; the addiction proneness group and the normal-user group. Results The addiction proneness group had significantly higher scores than the normal-user group in the BDI, BAI, OCI-R, and BIS-11. The scores of the SAPS were positively correlated with the scores of the BDI, BAI, OCI-R, and BIS-11. Using logistic regression analysis, smartphone addiction proneness showed a significant association with BIS-11. Conclusions The results of this study suggest that smartphone addiction proneness may be associated with depression, anxiety, obsessive-compulsive symptoms, and impulsivity. Furthermore, impulsivity could be a vulnerability marker for smartphone addiction proneness.

Keywords

References

  1. Kim DS, Chae WS. Biomechanical analysis of a smartphone task with different postures. Korean J Sport Biomech 2012;22:253-259. https://doi.org/10.5103/KJSB.2012.22.2.253
  2. Choi HS, Lee HK, Ha JC. The influence of smartphone addiction on mental health, campus life and personal relations-focusing on K university students. J Korean Data Inf Sci Soc 2012;23:1005-1015. https://doi.org/10.7465/jkdi.2012.23.5.1005
  3. Leung L. Linking psychological attributes to addiction and improper use of the mobile phone among adolescents in Hong Kong. J Child Media 2008;2:93-113. https://doi.org/10.1080/17482790802078565
  4. Shaffer HJ. Understanding the means and objects of addiction: Technology, the internet, and gambling. J Gambl Stud 1996;12:461-469. https://doi.org/10.1007/BF01539189
  5. Orford J. Excessive appetites: a psychological view of addictions. 2nd ed. Chichester: Wiley;2001.
  6. Lemon J. Can we call behaviors addictive? Clinical Psychologist 2005;6:44-49.
  7. Griffiths MD. Internet addiction: Does it really exist? In: Gackenbach J, editor. Psychology and the Internet: intrapersonal, interpersonal and transpersonal applications. New York: Academic Press;1998. p.61-75.
  8. Shotton MA. Computer addiction?: a study of computer dependency. London: Taylor & Francis;1989.
  9. Young KS. Internet addiction: The emergence of a new clinical disorder. Cyberpsychol Behav 1998;1:237-244. https://doi.org/10.1089/cpb.1998.1.237
  10. Shapira NA, Lessig MC, Goldsmith TD, Szabo ST, Lazoritz M, Gold MS, et al. Problematic internet use: proposed classification and diagnostic criteria. Depress Anxiety 2003;17:207-216. https://doi.org/10.1002/da.10094
  11. Kim K, Ryu E, Chon MY, Yeun EJ, Choi SY, Seo JS, et al. Internet addiction in Korean adolescents and its relation to depression and suicidal ideation: a questionnaire survey. Int J Nurs Stud 2006;43: 185-192. https://doi.org/10.1016/j.ijnurstu.2005.02.005
  12. Ko CH, Yen JY, Chen CS, Chen CC, Yen CF. Psychiatric comorbidity of internet addiction in college students: an interview study. CNS Spectr 2008;13:147-153. https://doi.org/10.1017/S1092852900016308
  13. Bernardi S, Pallanti S. Internet addiction: a descriptive clinical study focusing on comorbidities and dissociative symptoms. Compr Psychiatry 2009;50:510-516. https://doi.org/10.1016/j.comppsych.2008.11.011
  14. Ha JH, Yoo HJ, Cho IH, Chin B, Shin D, Kim JH. Psychiatric comorbidity assessed in Korean children and adolescents who screen positive for Internet addiction. J Clin Psychiatry 2006;67:821-826. https://doi.org/10.4088/JCP.v67n0517
  15. Yen JY, Ko CH, Yen CF, Wu HY, Yang MJ. The comorbid psychiatric symptoms of Internet addiction: attention deficit and hyperactivity disorder (ADHD), depression, social phobia, and hostility. J Adolesc Health 2007;41:93-98. https://doi.org/10.1016/j.jadohealth.2007.02.002
  16. Song EJ. The relationship between the using mobile phone and mental health state of high school students. J Korean Acad Psych Mental Health Nurs 2006;15:325-333.
  17. Jang SH, Cho KD. Effects of depression scale, interaction anxiety and school adjustment on cellular phone addiction of teenagers. J Korea Contents Assoc 2010;10:285-293.
  18. Jang SH, Oh EJ. The relationship among cellular phone addiction, depression, anxiety, and school life satisfaction perceived by students. J Fish Mar Sci Edu 2009;21:259-268.
  19. Korea National Information Society Agency. Development of Korean Smartphone Addiction Proneness Scale For Youth and Adults. Seoul: Korea National Information Society Agency;2011.
  20. Beck AT, Ward CH, Mendelson M, Mock J, Erbaugh J. An inventory for measuring depression. Arch Gen Psychiatry 1961;4:561-571. https://doi.org/10.1001/archpsyc.1961.01710120031004
  21. Lee MK, Lee YH, Park SH, Sohn CH, Jung YJ, Hong SK, et al. A standardization study of beck depression inventory (I): Korean version (K-BDI): reliability land factor analysis. Korean J Psychopathol 1995;4:77-95.
  22. Beck AT, Steer RA. Manual for the Beck anxiety inventory. San Antonio: Psychological Corporation;1990.
  23. Yook SP, Kim ZS. A clinical study on the Korean version of Beck Anxiety Inventory: comparative study of patient and non-patient. Korean J Clin Psychol 1997;16:185-197.
  24. Foa EB, Huppert JD, Leiberg S, Langner R, Kichic R, Hajcak G, et al. The Obsessive-Compulsive Inventory: development and validation of a short version. Psychol Assess 2002;14:485-496. https://doi.org/10.1037/1040-3590.14.4.485
  25. Lim JS, Kim SJ, Jeon WT, Cha KR, Park JH, Kim CH. Reliability and validity of the Korean version of Obsessive-Compulsive Inventory-Revised in a non-clinical sample. Yonsei Med J 2008;49:909-916. https://doi.org/10.3349/ymj.2008.49.6.909
  26. Barratt ES. Impulsiveness subtraits: Arousal and information processing. In: Spence JT, Izard CE, editors. Motivation, Emotion and Personality. Amsterdam: Elsevier Science Amsterdam, Inc.;1985. p.137-146.
  27. Lee HS. Impulsivity Test. Seoul: Korean Guidance;1992.
  28. Yen JY, Ko CH, Yen CF, Chen SH, Chung WL, Chen CC. Psychiatric symptoms in adolescents with Internet addiction: Comparison with substance use. Psychiatry Clin Neurosci 2008;62:9-16. https://doi.org/10.1111/j.1440-1819.2007.01770.x
  29. Ko CH, Yen JY, Chen CS, Yeh YC, Yen CF. Predictive values of psychiatric symptoms for internet addiction in adolescents: a 2-year prospective study. Arch Pediatr Adolesc Med 2009;163:937-943. https://doi.org/10.1001/archpediatrics.2009.159
  30. Tichon JG, Shapiro M. The process of sharing social support in cyberspace. Cyberpsychol Behav 2003;6:161-170. https://doi.org/10.1089/109493103321640356
  31. Suler JR. To get what you need: healthy and pathological internet use. Cyberpsychol Behav 1999;2:385-393. https://doi.org/10.1089/cpb.1999.2.385
  32. Leung L. Net-generation attributes and seductive properties of the internet as predictors of online activities and internet addiction. Cyberpsychol Behav 2004;7:333-348. https://doi.org/10.1089/1094931041291303
  33. Kraut R, Kiesler S, Boneva B, Cummings J, Helgeson V, Crawford A. Internet paradox revisited. J Social issue 2002;58:49-74. https://doi.org/10.1111/1540-4560.00248
  34. Ko CH, Yen JY, Yen CF, Chen CS, Chen CC. The association between Internet addiction and psychiatric disorder: a review of the literature. Eur Psychiatry 2012;27:1-8.
  35. Leshner AI. Addiction is a brain disease, and it matters. Science 1997; 278:45-47. https://doi.org/10.1126/science.278.5335.45
  36. Cao F, Su L, Liu T, Gao X. The relationship between impulsivity and internet addiction in a sample of Chinese adolescents. Eur Psychiatry 2007;22:466-471. https://doi.org/10.1016/j.eurpsy.2007.05.004
  37. Park HS, Kim SH, Bang SA, Yoon EJ, Cho SS, Kim SE. Altered regional cerebral glucose metabolism in internet game overusers: a 18F-fluorodeoxyglucose positron emission tomography study. CNS Spectr 2010;15:159-166. https://doi.org/10.1017/S1092852900027437
  38. Lee YS, Han DH, Yang KC, Daniels MA, Na C, Kee BS, et al. Depression like characteristics of 5HTTLPR polymorphism and temperament in excessive internet users. J Affect Disord 2008;109:165-169. https://doi.org/10.1016/j.jad.2007.10.020
  39. Koepp MJ, Gunn RN, Lawrence AD, Cunningham VJ, Dagher A, Jones T, et al. Evidence for striatal dopamine release during a video game. Nature 1998;393:266-268. https://doi.org/10.1038/30498
  40. Ko CH, Liu GC, Hsiao S, Yen JY, Yang MJ, Lin WC, et al. Brain activities associated with gaming urge of online gaming addiction. J Psychiatr Res 2009;43:739-747. https://doi.org/10.1016/j.jpsychires.2008.09.012
  41. Kwon M, Lee JY, Won WY, Park JW, Min JA, Hahn C, et al. Devel+opment and validation of a smartphone addiction scale (SAS). PLoS One 2013;8:e56936. https://doi.org/10.1371/journal.pone.0056936