nach oben

International Journal of Mental Health and Addiction

Erschienen in:

17.02.2016

Internet Misconduct Impact Adolescent Mental Health in Taiwan: The Moderating Roles of Internet Addiction

verfasst von: Tai-Kuei Yu, Cheng-Min Chao

Erschienen in: International Journal of Mental Health and Addiction | Ausgabe 6/2016

Einloggen, um Zugang zu erhalten

Abstract

The cyber world provides new information and online social activities. However, frequent social activities and inappropriate physical and mental behaviors (e.g., cyber bullying, cyber pornography, and Internet fraud) may affect physical and mental health of individuals. The purpose of this study was to investigate the impact of cyber bullying, cyber pornography, and Internet fraud adolescents’ physical and mental health and examine the moderating effect of Internet addiction among Taiwan adolescents aged 15 to 18 years using a nationally representative dataset. Data from 8480 adolescents (4184 boys, 4296 girls) from 150 high schools were analyzed. The results indicated that cyber bullying, cyber pornography and Internet addiction present significant positive effects on physical and mental health of individuals; Internet addiction has a significant moderating effect on the relationships among cyber bullying, cyber pornography, and physical and mental health of individuals. The results of this study suggest that parents and teachers should pay more attention to adolescents, especially those who have frequently reported seeing cyber bullying, and provide counseling, help as well as assistance on the proper use of the Internet. Adolescents who are addicted to cyber pornography should be encouraged to develop other interests and participate in outdoor activities to ensure healthy physical and mental health.

Ahn, J. (2011). The effect of social network sites on adolescents’ social and academic development: Current theories and controversies. Journal of the American Society for Information Science and Technology, 62(8), 1435–1445.CrossRef

Aleem, A. & Antwi-Boasiako, A. (2011). Internet auction fraud: The evolving nature of online auctions criminality and the mitigating framework to address the threat. International Journal of Law, Crime and Justice, 39(3), 140–160.CrossRef

Anderson, J., Bresnahan, M., & Musatics, C. (2014). Combating weight-based cyberbullying on facebook with the dissenter effect. Cyberpsychology, Behavior and Social Networking, 17(5), 281–286.CrossRefPubMed

Bagozzi, R. P. & Yi, Y. (2012). Specification, evaluation, and interpretation of structural equation models. Journal of the Academy of Marketing Science, 40(1), 8–34.CrossRef

Baron, R. M. & Kenny, D. A. (1986). The moderator-mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations. Journal of Personality and Social Psychology, 51, 1173–1182.CrossRefPubMed

Bhat, C. S. (2008). Cyber bullying: Overview and strategies for school counselors, guidance officers, and all school personnel. Australian Journal of Guidance and Counselling, 18, 53–66.CrossRef

Bruno, A., Scimeca, G., Cava, L., Pandolfo, G., Zoccali, R. A., & Muscatello, M. R. A. (2014). Prevalence of Internet addiction in a sample of southern Italian high school students. International Journal of Mental Health and Addiction, 12(6), 708–715.CrossRef

Burns, R. G., Whitworth, K. H., & Thompson, C. Y. (2004). Assessing law enforcement preparedness to address Internet fraud. Journal of Criminal Justice, 32(5), 477–493.CrossRef

Chang, F.-C., Chiu, C.-H., Lee, C.-M., Chen, P.-H., & Miao, N.-F. (2014). Predictors of the initiation and persistence of Internet addiction among adolescents in Taiwan. Addictive Behaviors, 39(10), 1434–1440.CrossRefPubMed

Chao, C. –. M., Yu, T. –. K., & Cheng, B. –. W. (2013). Modelling predictors of adolescents’ attitude towards a cyber lives index. Malaysian Journal of Library and Information Science, 18(1), 87–104.

Chin, W. W. (1998). The partial least squares approach to structural equation Modeling. In G. A. Marcoulides & Mahwah (Eds.), Modern business research methods (pp. 295–336). NJ: Lawrence Erlbaum Associates.

Chua, C. E. H. & Wareham, J. (2008). Parasitism and Internet auction fraud: An exploration. Information and Organization, 18(4), 303–333.CrossRef

Cleemput, K. V., Vandebosch, H., & Pabian, S. (2014). Personal characteristics and contextual factors that determine “Helping,” “Joining In,” and “Doing Nothing” when witnessing cyberbullying. Aggressive Behavior, 40(5), 383–396.CrossRefPubMed

DeVellis, R. F. (2003). Scale development: Theory and applications, 2nd (Ed.), Thousand Oaks, CA: Sage Publications.

Dowell, E. B., Burgess, A. W., & Cavanaugh, D. J. (2009). Clustering of internet risk behavior in a middle school student population. Journal of School Health, 79(11), 547–553.CrossRefPubMed

Fornell, C. & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18, 39–50.CrossRef

Griffiths, M. (2003). Sex on the internet: Observations and implications for Internet sex addiction. Journal of Sex Research, 38, 330–339.

Ha, Y. M. & Hwang, W. J. (2014). Gender differences in Internet addiction associated with psychological health indicators among adolescents using a national web-based survey. International Journal of Mental Health and Addiction, 12(5), 660–669.CrossRef

Hair Jr., F., Black, W. C., Babin, B. J., & Anderson, R. E. (2010). Multivariate data analysis: A global perspective (7th ed. ). New York: Macmillan.

Hong, J. C., Lin, C. H., Hwang, M. Y., Hu, R. P., & Chen, Y. L. (2014). Positive affect predicting worker psychological response to cyber-bullying in the high-tech industry in Northern Taiwan. Computers in Human Behavior, 30, 307–314.CrossRef

Huang, Y. Y. & Chou, C. (2013). Revisiting cyberbullying: Perspectives from Taiwanese teachers. Computers & Education, 63, 227–239.CrossRef

Hulland, J. (1999). Use of partial least squares (PLS) in strategic management research: a review of four recent studies. Strategic Management Journal, 20(2), 195–204.CrossRef

Jang, H., Song, J., & Kim, R. (2014). Does the offline bully-victimization influence cyberbullying behavior among youths? Application of General Strain Theory. Computers in Human Behavior, 31, 85–93.CrossRef

Jöreskog, K. G. & Sörbom, D. (2005). LISREL 8.72: A guide to the program and applications (3rd ed. ). Chicago, IL: Scientific Software International, Inc..

Ko, C. H., Yen, J. Y., Chen, C. C., Chen, S. H., & Yen, C. F. (2005a). Gender differences and related factors effecting online gaming addiction among Taiwanese adolescents. The Journal of Nervous and Mental Disease, 193(4), 273–277.CrossRefPubMed

Ko, C. H., Yen, J. Y., Yen, C. F., Chen, C. C., Yen, C. N., & Chen, S. H. (2005b). Screening for internet addiction: An empirical study on cut-off points for the Chen Internet Addiction Scale. Kaohsiung Journal of Medical Sciences, 21(12), 545–551.CrossRefPubMed

Ko, C. H., Yen, J. Y., Yen, C. F., Chen, C. S., & Chen, C. C. (2012). The association between Internet addiction and psychiatric disorder: A review of the literature. European Psychiatry, 27, 1–8.CrossRefPubMed

Ko, C. H., Yen, J. Y., Yen, C. F., Lin, H. C., & Yang, M. J. (2007). Factors predictive for incidence and remission of internet addiction in young adolescents: A prospective study. Cyberpsychology & Behavior, 10, 545–551.CrossRef

Kowalski, R. M. & Limber, S. P. (2013). Psychological, physical, and academic correlates of cyberbullying and traditional bullying. Journal of Adolescent Health, 53(1), S13–S20.CrossRefPubMed

Kuss, D. J. & Griffiths, M. D. (2012). Internet gaming addiction: A systematic review of empirical research. International Journal of Mental Health and Addiction, 10(2), 278–296.CrossRef

Kuss, D. J., Shorter, G. W., van Rooij, A. J., Griffiths, M. D., & Schoenmakers, T. M. (2014). Assessing internet addiction using the parsimonious internet addiction components model—a preliminary study. International Journal of Mental Health and Addiction, 12(3), 351–366.

Laier, C., Pekal, J., & Brand, M. (2014). Cybersex addiction in heterosexual female users of Internet pornography can be explained by gratification hypothesis. Cyberpsychology, Behavior and Social Networking, 17(8), 505–511.CrossRefPubMed

Lo, V. –. H. & Wei, R. (2005). Exposure to Internet pornography and Taiwanese adolescents’ sexual attitudes and behavior. Journal of Broadcasting and Electronic Media, 49, 221–237.

MacKenzie, S. B., Podsakoff, P. M., & Podsakoff, N. P. (2011). Construct measurement and validation procedures in MIS and behavioral research: Integrating new and existing techniques. MIS Quarterly, 35(2), 293–334.

McLoughlin, C., Meyricke, R., & Burgess, J. (2009). Bullies in cyberspace: How rural and regional Australian youth perceive the problem of cyberbullying and its impact. In J. Lyons, J. Y. Choi & D. Mcphan (Eds.), International symposium for innovation in rural education improving equity in rural education (pp. 178–186), Australia: SIMERR National Centre

McMillan, S. J. & Morrison, M. (2006). Coming of age with the internet: A qualitative exploration of how the internet has become an integral part of young people’s lives. New Media & Society, 8(1), 73–95.CrossRef

Mills, C., Guerin, S., Lynch, F., Daly, I., & Fitzpatrick, C. (2004). The relationship between bullying, depression and suicidal thoughts/behaviour in Irish adolescents. Irish Journal of Psychological Medicine, 21(4), 112–116.CrossRef

Mitchell, K. J., Finkelhor, D., & Wolak, J. (2003). The exposure of youth to unwanted sexual material on the internet: a national survey of risk, impact, prevention. Youth and Society, 34(3), 330–358.CrossRef

Patricia, W. A., Kowalski, R., & Limber, S. (2007). Students’ perspectives on cyber bullying. Journal of Adolescent Health, 41(1), 59–60.

Peters, C. S. & Malesky, L. A. (2008). Problematic usage among highly-engaged players of massively multiplayer online role playing games. Cyberpsychology & Behavior, 11, 481–484.CrossRef

Schell, B. H., Martin, M. V., Hung, P. C. K., & Rueda, L. (2007). Cyber child pornography: A review paper of the social and legal issues and remedies-and a proposed technological solution. Aggression and Violent Behavior, 12(1), 45–63.CrossRef

Sim, T., Gentile, D. A., Bricolo, F., Serpelloni, G., & Gulamoydeen, F. (2012). A conceptual review of research on the pathological use of computers, video games, and the Internet. International Journal of Mental Health and Addiction, 10(5), 748–769.CrossRef

Slonje, R. & Smith, P. K. (2008). Cyberbullying: Another main type of bullying? Scandinavian Journal of Psychology, 49(2), 147–154.CrossRefPubMed

Slonje, R., Smith, P. K., & Frisén, A. (2013). The nature of cyberbullying and strategies for prevention. Computers in Human Behavior, 29, 26–32.CrossRef

Stack, S., Wasserman, I., & Kern, R. (2004). Adult social bonds and use of Internet pornography. Social Science Quarterly, 85(1), 75–88.CrossRef

Tsai, C. C. & Lin, S. S. J. (2003). Internet addiction of adolescents in Taiwan: An interview study. Cyberpsychology & Behavior, 6(6), 649–652.CrossRef

Vacaru, M. A., Shepherd, R. M., & Sheridan, J. (2014). New Zealand youth and their relationships with mobile phone technology. International Journal of Mental Health and Addiction, 12(5), 572–584.CrossRef

Van Der Velden, M. & El Emam, K. (2013). “Not all my friends need to know”: A qualitative study of teenage patients, privacy, and social media. Journal of the American Medical Informatics Association, 20(1), 16–24.CrossRefPubMedPubMedCentral

Verma, A. (2012). Cyber pornography in India and its implication on cyber cafe´ operators. Computer Law and Security Review, 28(1), 69–76.CrossRef

Widyanto, L. & Griffiths, M. (2006). Internet addiction: A critical review. International Journal of Mental Health and Addiction, 4, 31–51.CrossRef

Wright, M. F. (2014). Predictors of anonymous cyber aggression: The role of adolescents’ beliefs about anonymity, aggression, and the permanency of digital content. Cyberpsychology, Behavior and Social Networking, 17(7), 431–438.CrossRefPubMed

Yao, M. Z. & Zhong, Z. –. J. (2014). Loneliness, social contacts and Internet addiction: A cross-lagged panel study. Computers in Human Behavior, 30, 164–170.

Yen, J. Y., Ko, C. H., Yen, C. F., Chen, S. H., Chung, W. K., & Chen, C. C. (2008). Psychiatric symptoms in adolescents with Internet addiction: Comparison with substance use. Psychiatry and Clinical Neurosciences, 62(1), 9–16.CrossRefPubMed

Young, K. S. (1996). Internet addiction: The emergence of a new clinical disorder. Paper presented at the 104th annual meeting of the American Psychological Association, August 1996. Toronto, Canada.

Young, K. S. (1998). Internet addiction: The emergence of a new clinical disorder. Cyber Psychology and Behavior, 1(3), 237–244.CrossRef

Young, K. S. (2004). Internet addiction: A new clinical phenomenon and its consequences. American Behavioral Scientist, 48(4), 402–415.CrossRef

Young, K. S. & de Abreu, C. N. (2010). Internet addiction: A handbook and guide to evaluation and treatment. Hoboken, New Jersey: Wiley.

Titel: Internet Misconduct Impact Adolescent Mental Health in Taiwan: The Moderating Roles of Internet Addiction
verfasst von: Tai-Kuei Yu
Cheng-Min Chao
Publikationsdatum: 17.02.2016
Verlag: Springer US
Erschienen in: International Journal of Mental Health and Addiction / Ausgabe 6/2016
Print ISSN: 1557-1874
Elektronische ISSN: 1557-1882
DOI: https://doi.org/10.1007/s11469-016-9641-y

Neu im Fachgebiet Psychiatrie

Demenzkranke durch Antipsychotika vielfach gefährdet

23.04.2024 Demenz Nachrichten

Wenn Demenzkranke aufgrund von Symptomen wie Agitation oder Aggressivität mit Antipsychotika behandelt werden, sind damit offenbar noch mehr Risiken verbunden als bislang angenommen.

Weniger postpartale Depressionen nach Esketamin-Einmalgabe

23.04.2024 Depression antepartal oder postpartal Nachrichten

Bislang gibt es kein Medikament zur Prävention von Wochenbettdepressionen. Das Injektionsanästhetikum Esketamin könnte womöglich diese Lücke füllen.

„Psychotherapie ist auch bei sehr alten Menschen hochwirksam!“

22.04.2024 DGIM 2024 Kongressbericht

Die Kombination aus Medikamenten und Psychotherapie gilt als effektivster Ansatz bei Depressionen. Das ist bei betagten Menschen nicht anders, trotz Besonderheiten.

Auf diese Krankheiten bei Geflüchteten sollten Sie vorbereitet sein

22.04.2024 DGIM 2024 Nachrichten

Um Menschen nach der Flucht aus einem Krisengebiet bestmöglich medizinisch betreuen zu können, ist es gut zu wissen, welche Erkrankungen im jeweiligen Herkunftsland häufig sind. Dabei hilft eine Internetseite der CDC (Centers for Disease Control and Prevention).

Update Psychiatrie

Bestellen Sie unseren Fach-Newsletter und bleiben Sie gut informiert.

Newsletter bestellen

Springer Medizin

Abstract

Bitte loggen Sie sich ein, um Zugang zu diesem Inhalt zu erhalten

Weitere Artikel der Ausgabe 6/2016

Problem Internet Gamblers’ Perspectives on Cognitive Behavioural Group Therapy

Portuguese Validation of the Bergen Facebook Addiction Scale: an Empirical Study

Personality and Substance Use in Mexicans and Mexican-Americans

Validation of the Portuguese DSM-IV-MR-J