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Difference in mental state between Internet-addicted and non-addicted Japanese undergraduates

  • Kazuki Hirao EMAIL logo
Veröffentlicht/Copyright: 21. November 2014

Abstract

Background: Internet addiction (IA) is a common disorder among adolescents throughout most of the industrialized world. The purpose of this study was to compare mental states between Japanese undergraduates with IA and those without IA.

Methods: In a cross-sectional survey, 165 healthy participants were assessed for IA using the Internet Addiction Test (IAT), for the frequency and quality of flow experiences in daily life using the Flow Experience Checklist (FEC), and for depressive symptoms using the Patient Health Questionnaire (PHQ-9), Beck Depression Inventory-II (BDI-II), and Zung Self-Rating Depression Scale (SDS).

Results: The results showed that the prevalence of IA in the participants of this study was 15% and the frequencies of flow experience and depressive symptoms were significantly higher in the IA group.

Conclusion: The results indicate that IA affects a significant number of Japanese university students and is associated with higher rates of depressive symptoms, suggesting a need for intervention programs as part of student mental health services.


Corresponding author: Kazuki Hirao, Department of Occupational Therapy, School of Health Science and Social Welfare, Kibi International University, 8 Iga-machi, Takahashi, Okayama 716-8508, Japan, E-mail:

Acknowledgments

We would like to thank all the participants in this study.

Conflict of interest statement: No competing financial interests exist.

References

1. Christakis DA, Moreno MA. Trapped in the net: will Internet addiction become a 21st-century epidemic? Arch Pediatr Adolesc Med 2009;163:959–60.10.1001/archpediatrics.2009.162Suche in Google Scholar PubMed

2. Willoughby T. A short-term longitudinal study of Internet and computer game use by adolescent boys and girls: prevalence, frequency of use, and psychosocial predictors. Dev Psychol 2008;44:195–204.10.1037/0012-1649.44.1.195Suche in Google Scholar PubMed

3. Ha JH, Kim SY, Bae SC, Bae S, Kim H, et al. Depression and Internet addiction in adolescents. Psychopathology 2007;40:424–30.10.1159/000107426Suche in Google Scholar PubMed

4. Goel D, Subramanyam A, Kamath R. A study on the prevalence of Internet addiction and its association with psychopathology in Indian adolescents. Indian J Psychiatry 2013;55:140–3.10.4103/0019-5545.111451Suche in Google Scholar PubMed PubMed Central

5. Alavi SS, Alaghemandan H, Maracy MR, Jannatifard F, Eslami M, et al. Impact of addiction to Internet on a number of psychiatric symptoms in students of Isfahan universities, Iran, 2010. Int J Prev Med 2012;3:122–7.Suche in Google Scholar

6. Cao FL, Su LY, Liu TQ, Gao XP. The relationship between impulsivity and Internet addiction in a sample of Chinese adolescents. Eur Psychiatry 2007;22:466–71.10.1016/j.eurpsy.2007.05.004Suche in Google Scholar PubMed

7. Kim K. Association between Internet overuse and aggression in Korean adolescents. Pediatr Int 2013;55:703–9.10.1111/ped.12171Suche in Google Scholar PubMed

8. Yen JK, 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;41:93–8.10.1016/j.jadohealth.2007.02.002Suche in Google Scholar PubMed

9. Canan F, Yildirim O, Ustunel TY, Sinani G, Kaleli AH, et al. The relationship between Internet addiction and body mass index in Turkish adolescents. Cyberpsychol Behav Soc Netw 2014;17:40–5.10.1089/cyber.2012.0733Suche in Google Scholar PubMed

10. Yao MZ, He J, Ko DM, Pang K. The influence of personality, parental behaviors, and self-esteem on Internet addiction: a study of Chinese college students. Cyberpsychol Behav Soc Netw 2014;17:104–10.10.1089/cyber.2012.0710Suche in Google Scholar PubMed PubMed Central

11. Yu L, Shek DT. Internet addiction in Hong Kong adolescents: a three-year longitudinal study. J Pediatr Adolesc Gynecol 2013;26:S10–7.10.1016/j.jpag.2013.03.010Suche in Google Scholar PubMed

12. Pramanik T, Sherpa MT, Shrestha R. Internet addiction in a group of medical students: a cross sectional study. Nepal Med Coll J 2012;14:46–8.Suche in Google Scholar

13. Christakis DA, Moreno MM, Jelenchick L, Myaing MT, Zhou C. Problematic Internet usage in US college students: a pilot study. BMC Med 2011;9:77.10.1186/1741-7015-9-77Suche in Google Scholar

14. Durkee T, Kaess M, Carli V, Parzer P, Wasserman C, et al. Prevalence of pathological Internet use among adolescents in Europe: demographic and social factors. Addiction 2012;107:2210–22.10.1111/j.1360-0443.2012.03946.xSuche in Google Scholar

15. Osada H. Internet addiction in Japanese college students: Is Japanese version of Internet Addiction Test (JIAT) useful as a screening tool? Bulletin of Senshu University School of Human Sciences: Psychology 2013;3:71–80.Suche in Google Scholar

16. Young KS. Internet Addiction: the emergence of a new clinical disorder. Cyberpsychol Behav 1998;1:237–44.10.1089/cpb.1998.1.237Suche in Google Scholar

17. Csikszentmihalyi M, Csikszentmihalyi I, editors. Optimal experience: psychological studies of flow in consciousness, 1st ed. Cambridge: Cambridge University Press, 1988.10.1017/CBO9780511621956Suche in Google Scholar

18. Hirao K, Kobayashi R, Okishima K, Tomokuni Y, Yabuwaki K. Influence of different intensities of brief flow experiences on subjective and objective stress. Med Biol 2011;155:713–20.Suche in Google Scholar

19. Hirao K, Kobayashi R, Okishima K, Tomokuni Y. Influence of flow experience during daily life on health-related quality of life and salivary amylase activity in Japanese college students. Jpn J Occup Med Traumatol 2011;59:13–8.Suche in Google Scholar

20. Hirao K, Kobayashi R, Okishima K, Tomokuni Y. Flow experience and health-related quality of life in community dwelling elderly Japanese. Nurs Health Sci 2012;14:52–7.10.1111/j.1442-2018.2011.00663.xSuche in Google Scholar

21. Hirao K, Kobayashi R. Health-related quality of life and sense of coherence among the unemployed with autotelic, average, and non-autotelic personalities: A cross-sectional survey in Hiroshima, Japan. PLoS One 2013;8:e73915.10.1371/journal.pone.0073915Suche in Google Scholar

22. Ishimura I. Psychological study on enhancing factors and positive functions of flow experiences, 1st ed. Tokyo: Kazamashobo, 2014.Suche in Google Scholar

23. Muramatsu K, Miyaoka H, Kamijima K, Muramatsu Y, Yoshida M, et al. The patient health questionnaire, Japanese version: validity according to the mini-international neuropsychiatric interview-plus. Psychol Rep 2007;101:952–60.Suche in Google Scholar

24. Kroenke K, Spitzer RL, Williams JB. The PHQ-9: validity of a brief depression severity measure. J Gen Intern Med 2001;16:606–13.10.1046/j.1525-1497.2001.016009606.xSuche in Google Scholar

25. Kroenke K, Spitzer RL. The PHQ-9: a new depression diagnostic and severity measure. Psychiatr Ann 2002;32:509–15.10.3928/0048-5713-20020901-06Suche in Google Scholar

26. Kojima M, Furukawa TA, Takahashi H, Kawai M, Nagaya T, et al. Cross-cultural validation of the Beck Depression Inventory-II in Japan. Psychiatry Res 2002;110:291–9.10.1016/S0165-1781(02)00106-3Suche in Google Scholar

27. Beck AT, Steer RA, Brown GK. Manual for the Beck Depression Inventory-II, 1st ed. San Antonio: Psychological Corporation, 1996.10.1037/t00742-000Suche in Google Scholar

28. Fukuda K, Kobayashi S. A study on a self-rating depression scale. Seishin Shinkeigaku Zasshi 1973;75:673–9.Suche in Google Scholar

29. Zung WW. A self-rating depression scale. Arch Gen Psychiatry 1965;12:63–70.10.1001/archpsyc.1965.01720310065008Suche in Google Scholar PubMed

30. Li Y, Zhang X, Lu F, Zhang Q, Wang Y. Internet addiction among elementary and middle school students in China: a nationally representative sample study. Cyberpsychol Behav Soc Netw 2014;17:111–6.10.1089/cyber.2012.0482Suche in Google Scholar PubMed PubMed Central

Received: 2014-5-21
Accepted: 2014-8-9
Published Online: 2014-11-21
Published in Print: 2015-8-1

©2015 by De Gruyter

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