IDEAS home Printed from https://ideas.repec.org/a/tei/journl/v3y2010i1p49-74.html
   My bibliography  Save this article

Internet Addiction among Greek University Students: Demographic Associations with the Phenomenon, using the Greek version of Young's Internet Addiction Test

Author

Listed:
  • Christos C. Frangos

    (Department of Business Administration, Technological Educational Institute of Athens, Athens, Greece)

  • Constantinos C. Frangos

    (Division of Medicine, University College London, London, UK)

  • Apostolos P. Kiohos

    (Department of Business Administration, Technological Educational Institute of Athens, Athens, Greece)

Abstract

Internet addiction (IA) is a new disorder described in 1996 by the psychologist Kimberly Young. The aim of this paper is to estimate the percentage of IA among Greek university students. Results of a sample survey among 1876 Greek university students, 18-27 years old, are presented. The questionnaire consisted of eight questions from Young’s Diagnostic Test for Internet Addiction (YDTIA) as well as an inventory including demographic factors and questions about academic performance, computer and Internet use. YDTIA had a good reliability and diagnostic accuracy, tested with Cronbach’s alpha (0.71) and sensitivity analysis. Results show that the percentage of IA (5-8 YDTIA criteria) is 11.6%, while problematic Internet users were (3-8 YDTIA criteria) 34.7%. Men were more likely to be addicted to the Internet than women, and Internet addicted students were associated with poorer academic performance. Multiple logistic regression showed that significant predictors of IA included increased hours of daily Internet use, increased hours visiting chat rooms, sex pages and blogs, male gender, divorced status, poor grades, and accessing the Internet outside of the home. The results of this study will allow health officials to recognise students who are Internet addicted or on the verge of becoming addicted and stress risk factors indicating a need for intervention in order to prevent the appearance of IA.

Suggested Citation

  • Christos C. Frangos & Constantinos C. Frangos & Apostolos P. Kiohos, 2010. "Internet Addiction among Greek University Students: Demographic Associations with the Phenomenon, using the Greek version of Young's Internet Addiction Test," International Journal of Business and Economic Sciences Applied Research (IJBESAR), International Hellenic University (IHU), Kavala Campus, Greece (formerly Eastern Macedonia and Thrace Institute of Technology - EMaTTech), vol. 3(1), pages 49-74, July.
    • Handle: RePEc:tei:journl:v:3:y:2010:i:1:p:49-74
    as

    Download full text from publisher

    File URL: http://ijbesar.teiemt.gr/docs/volume3_issue1/internet_addiction.pdf
    Download Restriction: no
    File URL: http://ijbesar.teiemt.gr/volume3_issue1.php
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Lu Xi, 2013. "Depression and Internet use in a Sample of Malaysian Undergraduate Students," Journal of Education and Vocational Research, AMH International, vol. 4(11), pages 317-325.
    2. Feyza Meryem Kara, 2019. "Internet Addiction: Relationship with Perceived Freedom in Leisure, Perception of Boredom and Sensation Seeking," Higher Education Studies, Canadian Center of Science and Education, vol. 9(2), pages 131-140, June.
    3. Hatice Kumcağız, 2019. "Examination of Turkish University Students’ Internet Addiction in Relation to Their Parental Attachment Styles and Sociodemographics," SAGE Open, , vol. 9(2), pages 21582440198, May.
    4. repec:ibn:hesjnl:v:9:y:2019:i:2:p:131 is not listed on IDEAS
    5. Adnan Veysel Ertemel & Ela Ari, 2020. "A Marketing Approach to a Psychological Problem: Problematic Smartphone Use on Adolescents," IJERPH, MDPI, vol. 17(7), pages 1-17, April.

    More about this item

    Keywords

    Greece; university students; Internet addiction; gender; academic performance; sex pages;
    All these keywords.

    JEL classification:

    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods
    • I10 - Health, Education, and Welfare - - Health - - - General
    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:tei:journl:v:3:y:2010:i:1:p:49-74. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Kostas Stergidis (email available below). General contact details of provider: https://edirc.repec.org/data/dbikagr.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.