Flow on the Internet: a longitudinal study of Internet addiction symptoms during adolescence

Vasileios Stavropoulos, Mark D. Griffiths, Tyrone L. Burleigh, Daria J. Kuss, Young Yim Doh and Rapson Gomez

Behaviour and Information Technology, 2018, vol. 37, issue 2, 159-172

Abstract: Internet Addiction (IA) constitutes an excessive Internet use behavior with a significant impact on the user’s well-being. Online flow describes the users’ level of being absorbed by their online activity. The present study investigated age-related, gender, and flow effects on IA in adolescence. The sample comprised 648 adolescents who were assessed twice at age 16 and 18 years. IA was assessed using the Internet Addiction Test and online flow was assessed using the Online Flow Questionnaire. A three-level hierarchical model estimated age-related, gender, and online flow effects on IA symptoms and controlled for clustered random effects. IA symptoms decreased over time (for both genders) with a slower rate in males. Online flow was associated with IA symptoms and this remained consistent over time. Findings expand upon the available literature suggesting that IA symptoms could function as a development-related manifestation at the age of 16 years, while IA-related gender differences gradually increase between 16 and 18 years. Finally, the association between online flow and IA symptoms remained stable independent of age-related effects. The study highlights individual differences and provides directions for more targeted prevention and intervention initiatives for IA.

Date: 2018
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DOI: 10.1080/0144929X.2018.1424937

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