BIROn - Birkbeck Institutional Research Online

    A network analysis of the Internet Disorder Scale–Short Form (IDS9-SF): a large-scale cross-cultural study in Iran, Pakistan, and Bangladesh

    Li, L. and Mamun, M.A. and Al-Mamun, F. and Ullah, I. and Hosen, I. and Ahsan Zia, S. and Poorebrahim, A. and Pourgholami, M. and Lin, C.-Y. and Pontes, Halley and Griffiths, M.D. and Pakpour, A.H. (2023) A network analysis of the Internet Disorder Scale–Short Form (IDS9-SF): a large-scale cross-cultural study in Iran, Pakistan, and Bangladesh. Current Psychology 42 , pp. 21994-22003. ISSN 1046-1310.

    [img]
    Preview
    Text
    Li2022_Article_ANetworkAnalysisOfTheInternetD.pdf - Published Version of Record
    Available under License Creative Commons Attribution.

    Download (938kB) | Preview

    Abstract

    The Internet Disorder Scale–Short Form (IDS9-SF) is a validated instrument assessing internet disorder which modified the internet gaming disorder criteria proposed in the fifth edition of the Diagnostic and Statistical Manual of Mental Disorders (DSM-5). However, the relationships between the nine items in the IDS9-SF are rarely investigated. The present study used network analysis to investigate the features of the IDS9-SF among three populations in Bangladesh, Iran, and Pakistan. Data were collected (N = 1901; 957 [50.3%] females; 666 [35.0%] Pakistani, 533 [28.1%] Bangladesh, and 702 [36.9%] Iranians) using an online survey platform (e.g., Google Forms). All the participants completed the IDS9-SF. The central-stability-coefficients of the nine IDS9-SF items were 0.71, 0.89, 0.96, 0.98, 0.98, 1.00, 0.67, 0.79, and 0.91, respectively. The node centrality was stable and interpretable in the network. The Network Comparison Test (NCT) showed that the network structure had no significant differences among Pakistani, Bangladeshi, and Iranian participants (p-values = 0.172 to 0.371). Researchers may also use the IDS9-SF to estimate underlying internet addiction for their target participants and further explore and investigate the phenomenon related to internet addiction. Li Li, Mohammed A. Mamun, Firoj Al-Mamun, Irfan Ullah, Ismail Hosen, Syed Ahsan Zia, Ali Poorebrahim, Morteza Pourgholami, Chung-Ying Lin, Halley M. Pontes, Mark D. Griffiths & Amir H. Pakpour

    Metadata

    Item Type: Article
    School: Birkbeck Faculties and Schools > Faculty of Science > School of Psychological Sciences
    Depositing User: Halley Pontes
    Date Deposited: 04 Jul 2022 10:04
    Last Modified: 26 Oct 2023 18:01
    URI: https://eprints.bbk.ac.uk/id/eprint/48536

    Statistics

    Activity Overview
    6 month trend
    81Downloads
    6 month trend
    145Hits

    Additional statistics are available via IRStats2.

    Archive Staff Only (login required)

    Edit/View Item
    Edit/View Item