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.
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.2009.162Search 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;44:195–204.10.1037/0012-1649.44.1.195Search 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;40:424–30.10.1159/000107426Search 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;55:140–3.10.4103/0019-5545.111451Search 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.Search 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.2007.05.004Search 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.12171Search 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.2007.02.002Search 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.2012.0733Search 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.2012.0710Search 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.2013.03.010Search 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.Search 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;9:77.10.1186/1741-7015-9-77Search 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.xSearch 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.Search in Google Scholar
16. Young KS. Internet Addiction: the emergence of a new clinical disorder. Cyberpsychol Behav 1998;1:237–44.10.1089/cpb.1998.1.237Search 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/CBO9780511621956Search 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.Search 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.Search 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.xSearch 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.0073915Search in Google Scholar
22. Ishimura I. Psychological study on enhancing factors and positive functions of flow experiences, 1st ed. Tokyo: Kazamashobo, 2014.Search 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.Search 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.xSearch in Google Scholar
25. Kroenke K, Spitzer RL. The PHQ-9: a new depression diagnostic and severity measure. Psychiatr Ann 2002;32:509–15.10.3928/0048-5713-20020901-06Search 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)00106-3Search 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/t00742-000Search in Google Scholar
28. Fukuda K, Kobayashi S. A study on a self-rating depression scale. Seishin Shinkeigaku Zasshi 1973;75:673–9.Search in Google Scholar
29. Zung WW. A self-rating depression scale. Arch Gen Psychiatry 1965;12:63–70.10.1001/archpsyc.1965.01720310065008Search 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.2012.0482Search in Google Scholar PubMed PubMed Central
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