Validation of the Thai Assessment of Criteria for Specific Internet-use Disorders (ACSID-11) among young adults

Yung Ning Yang, Jian An Su, Apiradee Pimsen, Jung Sheng Chen, Marc N. Potenza, Amir H. Pakpour, Ji Kang Chen, Wai Chuen Poon, Ira Nurmala, Kamolthip Ruckwongpatr, Chung Ying Lin

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

Abstract

Background: The 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. Methods: A 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. Results: The 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. Conclusions: Data 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.

Original languageEnglish
Article number819
JournalBMC Psychiatry
Volume23
Issue number1
DOIs
Publication statusPublished - Dec 2023

Keywords

  • Addictive behaviors
  • Factor analysis
  • Internet addiction
  • Psychometric validation
  • Specific internet use disorder
  • Young adults

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