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A comprehensive measure assessing different types of problematic use of the internet among Chinese adolescents: The Assessment of Criteria for Specific Internet-use Disorders (ACSID-11).
Saffari, Mohsen; Chen, Chao-Ying; Chen, I-Hua; Ruckwongpatr, Kamolthip; Griffiths, Mark D; Potenza, Marc N; Wang, Xue Lian; Huang, Yu-Ting; Chen, Jung-Sheng; Tsai, Ching-Chung; Lin, Chung-Ying.
Afiliación
  • Saffari M; Health Research Center, Life Style institute, Baqiyatallah University of Medical Sciences, Tehran 14345916417, Iran; Health Education Department, Faculty of Health, Baqiyatallah University of Medical Sciences, Tehran 14345916417, Iran.
  • Chen CY; School of Physical Therapy and Graduate Institute of Rehabilitation Science, College of Medicine, Chang Gung University, Taoyuan, Taiwan; New Taipei City Tucheng Hospital (Chang Gung Medical Foundation), Department of Pediatric Internal Medicine, New Taipei City, Taiwan.
  • Chen IH; Chinese Academy of Education Big Data, Qufu Normal University, Qufu 273165, China.
  • Ruckwongpatr K; Institute of Allied Health Sciences, College of Medicine, National Cheng Kung University, Tainan, Taiwan.
  • Griffiths MD; International Gaming Research Unit, Psychology Department, Nottingham Trent University, Nottingham, UK. Electronic address: mark.griffiths@ntu.ac.uk.
  • Potenza MN; Department of Psychiatry, Yale School of Medicine, 300 George St., Suite 901, New Haven, CT 06511, USA; Connecticut Mental Health Center, 34 Park St., New Haven, CT 06519, USA; Connecticut Council on Problem Gambling, 100 Great Meadow Rd., Suite 704, Wethersfield, CT 06109, USA; Child Study Center,
  • Wang XL; Yancheng College of Mechatronic Technology, Yancheng 224006, China; International College, Krirk University, Bangkok 10110, Thailand.
  • Huang YT; Institute of Allied Health Sciences, College of Medicine, National Cheng Kung University, Tainan, Taiwan.
  • Chen JS; Department of Medical Research, E-Da Hospital, I-Shou University, Kaohsiung 824005, Taiwan. Electronic address: ed113118@edah.org.tw.
  • Tsai CC; Department of Pediatrics, E-Da Hospital, I-Shou University, No.1, Yi-Da Road, Yan-Chao District, Kaohsiung City 82445, Taiwan; School of Medicine for International Students, College of Medicine, I-Shou University, No. 8, Yi-Da Road, Yan-Chao District, Kaohsiung City 82445, Taiwan. Electronic address
  • Lin CY; Institute of Allied Health Sciences, College of Medicine, National Cheng Kung University, Tainan, Taiwan; Biostatistics Consulting Center, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan 701401, Taiwan; Department of Occupational Therapy, College
Compr Psychiatry ; 134: 152517, 2024 Oct.
Article en En | MEDLINE | ID: mdl-39018815
ABSTRACT

BACKGROUND:

Problematic use of the internet (PUI) is prevalent, particularly among adolescents and young adults. Given the limited measures to assess specific types of PUI, which encompasses a broad spectrum of activities such as online gaming, social media use, pornography use, shopping, gambling, and web-streaming, Muller et al. (2022) developed the Assessment of Criteria for Specific Internet-use Disorders (ACSID-11) to comprehensively assess different types of PUI (i.e., gaming, shopping, social media use, gambling, and pornography use). The present study aimed to validate the Chinese ACSID-11 among adolescents incorporating cross-cultural adaptations.

METHODS:

Using forward-backward translation method, a culturally adapted version of the ACSID-11 was prepared. Then, a cross-sectional online survey was administered between September 8 and September 26, 2023. Adolescents, using a convenience sample (N = 11,492; mean age = 16.42 years [SD ± 0.91]; 59.1% male), were recruited from six schools to complete the translated ACSID-11, Internet Gaming Disorder Scale-Short Form (IGDS9-SF), Bergen Social Media Addiction Scale (BSMAS), and Smartphone Application Based Addiction Scale (SABAS) via an online platform. Pearson correlation coefficients assessed convergent/discriminant validity. Factor structure and measurement invariance were examined through confirmatory factor analysis (CFA) and multi-group CFA. Cronbach's alpha and McDonald's omega tested internal consistency.

RESULTS:

Associations between the ACSID-11 components and other scales supported convergent validity (i.e., ACSID-11 gaming scale with IGDS9-SF [0.37 ≤ r ≤ 0.41]; social networks use scale with BSMAS [0.24 ≤ r ≤ 0.31]) and discriminant validity (i.e., online gambling scale with BSMAS [0.16 ≤ r ≤ 0.19] and with SABAS [0.11 ≤ r ≤ 0.13]). A four-factor solution indicated good fit with comparative fit index (CFI) ranging from 0.982 to 0.958. The ACSID-11 was measurement invariant across sexes (∆CFI = -0.001 to 0.000) and different levels of related addictive behaviors (∆CFI = -0.001 to 0.000). Both Cronbach's alpha and McDonald's omega (0.63 to 0.97) were acceptable for both frequency and intensity of responses.

CONCLUSIONS:

The ACSID-11 is an appropriate scale to assess different kinds of PUI among Chinese adolescents and students. Psychometric assessment of the measure in other cultures and among clinical samples is recommended.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Trastorno de Adicción a Internet Límite: Adolescent / Female / Humans / Male País/Región como asunto: Asia Idioma: En Revista: Compr Psychiatry Año: 2024 Tipo del documento: Article País de afiliación: Irán

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Trastorno de Adicción a Internet Límite: Adolescent / Female / Humans / Male País/Región como asunto: Asia Idioma: En Revista: Compr Psychiatry Año: 2024 Tipo del documento: Article País de afiliación: Irán
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