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

doi:10.1186/s12888-023-05210-z

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

BMC Psychiatry. 2023 Nov 8;23(1):819. doi: 10.1186/s12888-023-05210-z.

Authors

Yung-Ning Yang^#^{1

2}, Jian-An Su^#^{3

4

5}, Apiradee Pimsen^{6

7}, Jung-Sheng Chen⁸, Marc N Potenza^{9

10

11

12

13

14}, Amir H Pakpour¹⁵, Ji-Kang Chen¹⁶, Wai Chuen Poon¹⁷, Ira Nurmala¹⁸, Kamolthip Ruckwongpatr¹⁹, Chung-Ying Lin^{20

21

22

23}

Affiliations

¹ Department of Pediatrics, E-Da Hospital, I-Shou University, Kaohsiung, Taiwan.
² School of Medicine, I-Shou University, Kaohsiung, Taiwan.
³ Department of Psychiatry, Chiayi Chang Gung Memorial Hospital, Chiayi, Taiwan.
⁴ School of Medicine, Chang Gung University, Taoyuan, Taiwan.
⁵ Department of Nursing, Chang Gung Institute of Technology, Taoyuan, Taiwan.
⁶ Department of Nursing, College of Medicine, National Cheng Kung University, Tainan, Taiwan.
⁷ Faculty of Nursing, Mahidol University, Bangkok, Thailand.
⁸ Department of Medical Research, E-Da Hospital, I-Shou University, Kaohsiung, 824005, Taiwan.
⁹ Department of Psychiatry, Yale School of Medicine, 300 George St., Suite 901, New Haven, CT, 06511, USA.
¹⁰ Connecticut Mental Health Center, 34 Park St, New Haven, CT, 06519, USA.
¹¹ Connecticut Council On Problem Gambling, 100 Great Meadow Rd., Suite 704, Wethersfield, CT, 06109, USA.
¹² Child Study Center, Yale School of Medicine, 350 George St, New Haven, CT, 06511, USA.
¹³ Department of Neuroscience, Yale University, New Haven, CT, USA.
¹⁴ Wu Tsai Institute, Yale University, 200 South Frontage Rd., SHM C-303, New Haven, CT, 06510, USA.
¹⁵ Department of Nursing, School of Health and Welfare, Jönköping University, Jönköping, Sweden.
¹⁶ Department of Social Work, Chinese University of Hong Kong, Shatin, New Territories, Hong Kong.
¹⁷ Sunway Business School, Sunway University, Selangor, Malaysia.
¹⁸ Department of Epidemiology, Faculty of Public Health, Biostatistics, Population Studies and Health Promotion, Universitas Airlangga, Surabaya, Indonesia.
¹⁹ Institute of Allied Health Sciences, College of Medicine, National Cheng Kung University, Tainan, Taiwan. kamolthip.681@gmail.com.
²⁰ Institute of Allied Health Sciences, College of Medicine, National Cheng Kung University, Tainan, Taiwan. cylin36933@gmail.com.
²¹ University of Religions and Denominations, Qom, Iran. cylin36933@gmail.com.
²² Department of Occupational Therapy, College of Medicine, National Cheng Kung University, Tainan, 701401, Taiwan. cylin36933@gmail.com.
²³ Biostatistics Consulting Center, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, 701401, Taiwan. cylin36933@gmail.com.

^# Contributed equally.

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.

Keywords: Addictive behaviors; Factor analysis; Internet addiction; Psychometric validation; Specific internet use disorder; Young adults.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Humans
Internet
Internet Addiction Disorder* / diagnosis
Internet Use
Psychiatric Status Rating Scales
Psychometrics
Reproducibility of Results
Southeast Asian People
Thailand
Video Games*
Young Adult

Abstract

Publication types

MeSH terms

Grants and funding