Smartphone Application-Based Addiction Among Iranian Adolescents: A Psychometric Study

Chung Ying Lin, Vida Imani, Anders Broström, Per Nilsen, Xavier C.C. Fung, Mark D. Griffiths, Amir H. Pakpour

Research output: Contribution to journalArticlepeer-review

14 Citations (Scopus)

Abstract

The Smartphone Application-Based Addiction Scale (SABAS) can be used in screening for the risk of smartphone addiction. This study aimed to validate a Persian version of the SABAS using confirmatory factor analysis (CFA), Rasch analysis, and latent class analysis (LCA). In a sample of 3807 Iranian adolescents, CFAs were used to confirm the factor structure of SABAS, Rasch models were used to examine the unidimensionality of SABAS, and LCAs were used to classify the adolescents in terms of application preferences and smartphone application-based addiction. The unidimensional structure of SABAS was supported by CFA and Rasch model. LCA classified the sample into three subgroups (i.e., low, medium, high) in terms of risk of smartphone addiction. This study showed the unidimensionality of the Persian SABAS with robust psychometric properties. It can be used by healthcare providers in screening for risk of addiction to smartphone applications and provide early intervention if necessary.

Original languageEnglish
Pages (from-to)765-780
Number of pages16
JournalInternational Journal of Mental Health and Addiction
Volume17
Issue number4
DOIs
Publication statusPublished - 2019 Aug 15

All Science Journal Classification (ASJC) codes

  • Psychiatry and Mental health

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