Author:
Yang Yung-Ning,Su Jian-An,Pimsen Apiradee,Chen Jung-Sheng,Potenza Marc N.,Pakpour Amir H.,Chen Ji-Kang,Poon Wai Chuen,Nurmala Ira,Ruckwongpatr Kamolthip,Lin Chung-Ying
Abstract
AbstractBackgroundThe Assessment of Criteria for Specific Internet-use Disorders (ACSID-11) is a consistent and comprehensive instrument to assess symptoms of specific internet-use disorders including those related to gaming, shopping, pornography use disorder, social networks use and gambling considering criteria in the eleventh revision of the International Classification of Diseases (ICD-11). However, to date, there is little evidence supporting instruments assessing major types of specific internet use disorders in Thailand. The aim of this present study was to assess the psychometric properties of the ACSID-11 among Thai young adults.MethodsA total of 612 participants were recruited. A confirmatory factor analysis (CFA) examined construct validity of the ACSID-11. Cronbach’s α and McDonald’s ω were used to assess reliability of the ACSID-11. Pearson correlations examined relationships between ACSID-11 domains and Internet Gaming Disorder Scale—Short Form (IGDS9-SF) scores.ResultsThe CFA supported validity of the Thai version of the ACSID-11 and a four-factor structure. Specific domains of the Thai ACSID-11, particularly gaming, were positively and significantly correlated with IGDS9-SF scores.ConclusionsData indicate that the Thai version of the ACSID-11 is a valid and reliable instrument to assess major types of specific internet use disorders. Additional studies are needed to further examine the validity and reliability of the Thai ACSID-11.
Funder
The internal fund of E-Da Hospital
The Connecticut Council on Problem Gambling and the NIH
Ministry of Science and Technology, Taiwan
The Higher Education Sprout Project
The Ministry of Education
Publisher
Springer Science and Business Media LLC
Subject
Psychiatry and Mental health
Reference68 articles.
1. Chia DXY, Ng CWL, Kandasami G, et al. Prevalence of Internet Addiction and Gaming Disorders in Southeast Asia: A Meta-Analysis. Int J Environ Res Public Health. 2020;17(7):2582. https://doi.org/10.3390/ijerph17072582.
2. Electronic Transactions Development Agency (ETDA). Thailand internet user behavior 2022. 2023. https://www.nationthailand.com/in-focus/national/40019312. Accessed 14 April 2023.
3. Leesa-Nguansuk S. Thailand's digital dependence revealed in new internet study. 2022. https://www.bangkokpost.com/business/2265383/thailands-digital-dependence-revealed-in-new-internet-study%20. Accessed 14 Apr 2023.
4. Poon WC, Tung SEH. The rise of online food delivery culture during the COVID-19 pandemic: an analysis of intention and its associated risk. Eur J Manag Bus Econ. 2022; ahead-of-print. https://doi.org/10.1108/EJMBE-04-2021-0128.
5. Satrusayang C. Thailand cracks Pornhub’s top twenty list despite government efforts. 2020. https://www.thaienquirer.com/8587/thailand-cracks-pornhubs-top-twenty-list-despite-government-efforts/. Accessed 14 April 2023.
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