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A network analysis of the Internet Disorder Scale-Short Form (IDS9-SF): A large-scale cross-cultural study in Iran, Pakistan, and Bangladesh
Gannan Med Univ, Sch Humanities & Social Sci, Ganzhou, Peoples R China..
CHINTA Res Bangladesh, Dhaka, Bangladesh.;Univ South Asia, Dept Publ Hlth, Dhaka, Bangladesh.;Daffodil Int Univ, Dept Publ Hlth, Dhaka, Bangladesh.;Jahangirnagar Univ, Dept Publ Hlth & Informat, Dhaka, Bangladesh..
CHINTA Res Bangladesh, Dhaka, Bangladesh.;Univ South Asia, Dept Publ Hlth, Dhaka, Bangladesh.;Jahangirnagar Univ, Dept Publ Hlth & Informat, Dhaka, Bangladesh..
Gandhara Univ, Kabir Med Coll, Peshawar, Pakistan..
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2023 (English)In: Current Psychology, ISSN 1046-1310, E-ISSN 1936-4733, Vol. 42, p. 21994-22003Article in journal (Refereed) Published
Abstract [en]

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.

Place, publisher, year, edition, pages
Springer, 2023. Vol. 42, p. 21994-22003
Keywords [en]
Addictive behavior, Addiction, Cross-country, Internet, Network analysis
National Category
Psychiatry
Identifiers
URN: urn:nbn:se:hj:diva-57493DOI: 10.1007/s12144-022-03284-8ISI: 000807924100001PubMedID: 35698487Scopus ID: 2-s2.0-85131587872Local ID: HOA;intsam;819066OAI: oai:DiVA.org:hj-57493DiVA, id: diva2:1673934
Available from: 2022-06-21 Created: 2022-06-21 Last updated: 2023-09-14Bibliographically approved

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Pakpour, Amir H.

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