The Effect of Circadian Types and Depressive Mood on Internet Addiction in Korean College Students

대학생의 일주기유형과 우울한 기분이 인터넷 중독에 미치는 영향

  • Oh, Kyu Soo (Department of Psychiatry, St. Andrew's Hospital) ;
  • Lee, Hye-Kyung (Department of Nursing, College of Nursing and Health, Kongju National University) ;
  • Lee, Kounseok (Department of Psychiatry, St. Andrew's Hospital)
  • 오규수 (성안드레아병원 정신건강의학과) ;
  • 이혜경 (국립공주대학교 간호학과) ;
  • 이건석 (성안드레아병원 정신건강의학과)
  • Received : 2016.09.13
  • Accepted : 2016.09.26
  • Published : 2016.11.30

Abstract

Objectives The purpose of this study was to investigate the relationships among circadian types, depressive mood and internet addiction and to identify the mediating effect of depressive mood between circadian types and internet addiction in Korean College Students. Methods A total of 2632 participants completed questionnaires, which included the Korean translation of the Composite Scale of Morningness (CSM), the Patient Health Questionnaire (PHQ-9), and the Korean version of the Internet Addiction Test (KIAT). Statistical analyses were done using correlation analysis, analysis of covariance and multiple linear regression. Results The CSM score was negatively associated with the PHQ-9 score (r = -0.226, p < 0.001) and the KIAT score (r = -0.218, p < 0.001). The eveningness group showed higher scores in depressive mood and internet addiction than the morningness group (p < 0.001). Depressive mood showed a partial mediating effect between circadian types and internet addiction (${\beta}=0.255$, p < 0.001). Conclusions Internet addiction was associated with circadian types and depressive mood. These results suggest that depression and circadian rhythm management would contribute to the prevention of internet addiction.

Keywords

References

  1. Young KS. Internet addiction: symptoms, evaluation, and treatment. In: VandeCre L, Jackson T, editors. Innovations in clinical practice: a source book. Sarasota, FL: Professional Resource Press;1999. p.19-31.
  2. Ministry of Science, ICT and Future Planing. 2015 The survey on internet overdependence [cited 2015 Jul 4]. Available from: http://www.msip.go.kr/web/msipContents/contentsView.do?cateId=mssw11241&artId=1302400.
  3. Goldberg I. Internet addiction disorder. 1996 [cited 2015 Nov 24]. Available from: http://users.rider.edu/-suler/psycyber/supportgp.html.
  4. Brenner V. Psychology of computer use: XLVII. Parameters of Internet use, abuse and addiction: the first 90 days of the Internet Usage Survey. Psychol Rep 1997;80:879-882. https://doi.org/10.2466/pr0.1997.80.3.879
  5. Greenfield DN. Psychological characteristics of compulsive internet use: a preliminary analysis. Cyberpsychol Behav 1999;2:403-412. https://doi.org/10.1089/cpb.1999.2.403
  6. Shapira NA, Goldsmith TD, Keck PE Jr, Khosla UM, McElroy SL. Psychiatric features of individuals with problematic internet use. J Affect Disord 2000;57:267-272. https://doi.org/10.1016/S0165-0327(99)00107-X
  7. Kervran C, Fatseas M, Serre F, Taillard J, Beltran V, Leboucher J, et al. Association between morningness/eveningness, addiction severity and psychiatric disorders among individuals with addictions. Psychiatry Res 2015;229:1024-1030. https://doi.org/10.1016/j.psychres.2015.05.026
  8. Lee JH, Lee CB, Jun NH, Jun NL, Jung WJ, Lee HY, et al. A study on the relationship of Internet addiction and depression in college students. Korean J Epidemiol 2004;26:54-61.
  9. Young KS, Rogers RC. The relationship between depression and Internet addiction. Cyberpsychol Behav 1998;1:25-28. https://doi.org/10.1089/cpb.1998.1.25
  10. 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
  11. Randler C, Horzum MB, Vollmer C. Internet addiction and its relationship to chronotype and personality in a Turkish University student sample. Soc Sci Comput Rev 2014;32:484-495. https://doi.org/10.1177/0894439313511055
  12. Randler C. Chronotype in children and adolescents. Somnologie 2016;20:166-171. https://doi.org/10.1007/s11818-016-0073-5
  13. Vollmer C, Randler C, Horzum MB, Ayas T. Computer game addiction in adolescents and its relationship to chronotype and personality. SAGE Open 2014;4:1-9.
  14. Lin YH, Gau SS. Association between morningness-eveningness and the severity of compulsive Internet use: the moderating role of gender and parenting style. Sleep Med 2013;14:1398-1404. https://doi.org/10.1016/j.sleep.2013.06.015
  15. Horzum MB, Randler C, Masal E, Besoluk S, Onder I, Vollmer C. Morningness-eveningness and the environment hypothesis-A crosscultural comparison of Turkish and German adolescents. Chronobiol Int 2015;32:814-821. https://doi.org/10.3109/07420528.2015.1041598
  16. Roepke SE, Duffy JF. Differential impact of chronotype on weekday and weekend sleep timing and duration. Nat Sci Sleep 2010;2010:213-220.
  17. Barclay NL, Eley TC, Buysse DJ, Archer SN, Gregory AM. Diurnal preference and sleep quality: same genes? A study of young adult twins. Chronobiol Int 2010;27:278-296. https://doi.org/10.3109/07420521003663801
  18. O'Brien EM, Mindell JA. Sleep and risk-taking behavior in adolescents. Behav Sleep Med 2005;3:113-133. https://doi.org/10.1207/s15402010bsm0303_1
  19. Hogben AL, Ellis J, Archer SN, von Schantz M. Conscientiousness is a predictor of diurnal preference. Chronobiol Int 2007;24:1249-1254. https://doi.org/10.1080/07420520701791596
  20. Tonetti L, Fabbri M, Natale V. Relationship between circadian typology and big five personality domains. Chronobiol Int 2009;26:337-347. https://doi.org/10.1080/07420520902750995
  21. Jankowski KS. The role of temperament in the relationship between morningness-eveningness and mood. Chronobiol Int 2014;31:114-122. https://doi.org/10.3109/07420528.2013.829845
  22. Hasler BP, Buysse DJ, Kupfer DJ, Germain A. Phase relationships between core body temperature, melatonin, and sleep are associated with depression severity: further evidence for circadian misalignment in non-seasonal depression. Psychiatry Res 2010;178:205-207. https://doi.org/10.1016/j.psychres.2010.04.027
  23. Johansson C, Willeit M, Smedh C, Ekholm J, Paunio T, Kieseppa T, et al. Circadian clock-related polymorphisms in seasonal affective disorder and their relevance to diurnal preference. Neuropsychopharmacology 2003;28:734-739. https://doi.org/10.1038/sj.npp.1300121
  24. Giannotti F, Cortesi F, Sebastiani T, Ottaviano S. Circadian preference, sleep and daytime behaviour in adolescence. J Sleep Res 2002;11:191-199. https://doi.org/10.1046/j.1365-2869.2002.00302.x
  25. Keller LK, Zoschg S, Grunewald B, Roenneberg T, Schulte-Korne G. [Chronotype and depression in adolescents-a review]. Z Kinder Jugendpsychiatr Psychother 2016;44:113-126. https://doi.org/10.1024/1422-4917/a000406
  26. Smith CS, Reilly C, Midkiff K. Evaluation of three circadian rhythm questionnaires with suggestions for an improved measure of morningness. J Appl Psychol 1989;74:728-738. https://doi.org/10.1037/0021-9010.74.5.728
  27. Yoon JS, Shin SM, Kook SH, Lee HY. A preliminary study on the Korean Translation of Composite Scale (KtCS) to measure morningness: eveningness. J Korean Neuropsychiatr Assoc 1997;36:122-134.
  28. Park SJ, Choi HR, Choi JH, Kim K, Hong JP. Reliability and Validity of the Korean Version of the Patient Health Questionnaire-9 (PHQ-9). Anxiety Mood 2010;6:119-124.
  29. Young KS. Caught in the net: how to recognize the signs of Internet addiction-- and a winning strategy for recovery. New York: John Wiley & Sons;1998.
  30. Lee K, Lee HK, Gyeong H, Yu B, Song YM, Kim D. Reliability and validity of the Korean version of the internet addiction test among college students. J Korean Med Sci 2013;28:763-768. https://doi.org/10.3346/jkms.2013.28.5.763
  31. Baron RM, Kenny DA. The moderator-mediator variable distinction in social psychological research: conceptual, strategic, and statistical considerations. J Pers Soc Psychol 1986;51:1173-1182. https://doi.org/10.1037/0022-3514.51.6.1173
  32. Kim JK, Song HS, Yeon MY. The preliminary study of sleep patterns, circadian typology and depression level in Korean college students. Korean J Health Psychol 2009;14:617-632. https://doi.org/10.17315/kjhp.2009.14.3.009
  33. Choi K, Son H, Park M, Han J, Kim K, Lee B, et al. Internet overuse and excessive daytime sleepiness in adolescents. Psychiatry Clin Neurosci 2009;63:455-462. https://doi.org/10.1111/j.1440-1819.2009.01925.x
  34. Yen CF, Ko CH, Yen JY, Cheng CP. The multidimensional correlates associated with short nocturnal sleep duration and subjective insomnia among Taiwanese adolescents. Sleep 2008;31:1515-1525. https://doi.org/10.1093/sleep/31.11.1515
  35. Hsu CY, Gau SS, Shang CY, Chiu YN, Lee MB. Associations between chronotypes, psychopathology, and personality among incoming college students. Chronobiol Int 2012;29:491-501. https://doi.org/10.3109/07420528.2012.668995
  36. Caci H, Robert P, Boyer P. Novelty seekers and impulsive subjects are low in morningness. Eur Psychiatry 2004;19:79-84. https://doi.org/10.1016/j.eurpsy.2003.09.007
  37. Ko CH, Yen JY, Chen CC, Chen SH, Wu K, Yen CF. Tridimensional personality of adolescents with internet addiction and substance use experience. Can J Psychiatry 2006;51:887-894. https://doi.org/10.1177/070674370605101404
  38. Ha JH, Kim SY, Bae SC, Bae S, Kim H, Sim M, et al. Depression and Internet addiction in adolescents. Psychopathology 2007;40:424-430. https://doi.org/10.1159/000107426
  39. Rotunda RJ, Kass SJ, Sutton MA, Leon DT. Internet use and misuse. Preliminary findings from a new assessment instrument. Behav Modif 2003;27:484-504. https://doi.org/10.1177/0145445503255600
  40. Lee J, Kim J, Hahm B, Hong J, Kim S, Kim J, et al. Prevalence and correlates of depressive disorders. J Korean Assoc Soc Psychiatry 2004;9:48-55.
  41. Kim JY, Song AY, Lee JH. A study of victimization from school violence, adolescent internet game addiction and mental health. Ment Health Soc Work 2008;29:150-176.