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.
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.
Compr Psychiatry. 2024 Oct;134:152517. doi: 10.1016/j.comppsych.2024.152517. Epub 2024 Jul 8.
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.
背景：互联网使用问题（PUI）普遍存在，尤其是在青少年和年轻人中。鉴于评估特定类型 PUI 的方法有限，这些方法涵盖了广泛的活动，如在线游戏、社交媒体使用、色情使用、购物、赌博和网络流媒体，Muller 等人（2022 年）开发了评估特定互联网使用障碍标准（ACSID-11），以全面评估不同类型的 PUI（即游戏、购物、社交媒体使用、赌博和色情使用）。本研究旨在通过跨文化适应，验证中文版 ACSID-11 在青少年中的适用性。
方法：使用正向-反向翻译法，制备文化适应的 ACSID-11 版本。然后，于 2023 年 9 月 8 日至 9 月 26 日进行了一项横断面在线调查。使用便利样本（N=11492；平均年龄 16.42 岁[SD±0.91]；59.1%为男性），从六所学校招募青少年完成翻译后的 ACSID-11、互联网游戏障碍量表-短式（IGDS9-SF）、卑尔根社交媒体成瘾量表（BSMAS）和智能手机应用成瘾量表（SABAS），通过在线平台进行。皮尔逊相关系数评估了聚合/区分效度。通过验证性因素分析（CFA）和多组 CFA 检验了结构和测量不变性。克朗巴赫的 alpha 和麦克唐纳的 omega 检验了内部一致性。
结果：ACSID-11 各组成部分与其他量表之间的关联支持聚合效度（即，ACSID-11 游戏量表与 IGDS9-SF[0.37≤r≤0.41]；社交网络使用量表与 BSMAS[0.24≤r≤0.31]）和区分效度（即，在线赌博量表与 BSMAS[0.16≤r≤0.19]和 SABAS[0.11≤r≤0.13]）。四因素模型的拟合指数较好，比较拟合指数（CFI）范围为 0.982 至 0.958。ACSID-11 在性别（∆CFI=-0.001 至 0.000）和不同程度相关成瘾行为（∆CFI=-0.001 至 0.000）方面具有测量不变性。无论是对频率还是对强度的反应，克朗巴赫的 alpha 和麦克唐纳的 omega（0.63 至 0.97）都可接受。
结论：ACSID-11 是一种评估中国青少年和学生不同类型 PUI 的适当量表。建议在其他文化和临床样本中对该量表进行心理测量评估。
BMC Public Health. 2025-7-30
Zotero 插件