Assessing Internet Addiction Using the Parsimonious Internet Addiction Components Model-A Preliminary Study

Daria J. Kuss, Gillian W. Shorter, Antonius J. van Rooij, Mark D. Griffiths, Tim M. Schoenmakers

Research output: Contribution to journalArticlepeer-review

59 Citations (Scopus)

Abstract

Internet usage has grown exponentially over the last decade. Research indicates that excessive Internet use can lead to symptoms associated with addiction. To date, assessment of potential Internet addiction has varied regarding populations studied and instruments used, making reliable prevalence estimations difficult. To overcome the present problems a preliminary study was conducted testing a parsimonious Internet addiction components model based on Griffiths' addiction components (Journal of Substance Use, 10, 191-197, 2005), including salience, mood modification, tolerance, withdrawal, conflict, and relapse. Two validated measures of Internet addiction were used (Compulsive Internet Use Scale [CIUS], Meerkerk et al. in Cyberpsychology & Behavior, 12(1), 1-6, 2009, and Assessment for Internet and Computer Game Addiction Scale [AICA-S], Wölfling et al. 2010) in two independent samples (ns = 3,105 and 2,257). The fit of the model was analysed using Confirmatory Factor Analysis. Results indicate that the Internet addiction components model fits the data in both samples well. The two sample/two instrument approach provides converging evidence concerning the degree to which the components model can organize the self-reported behavioural components of Internet addiction. Recommendations for future research include a more detailed assessment of tolerance as addiction component.

Original languageEnglish
Pages (from-to)351-366
Number of pages16
JournalInternational Journal of Mental Health and Addiction
Volume12
Issue number3
DOIs
Publication statusPublished - May 2014

Keywords

  • Addiction components
  • Behavioural addiction
  • Classification
  • Diagnosis
  • Internet addiction

ASJC Scopus subject areas

  • Psychiatry and Mental health

Fingerprint Dive into the research topics of 'Assessing Internet Addiction Using the Parsimonious Internet Addiction Components Model-A Preliminary Study'. Together they form a unique fingerprint.

Cite this