Institute for Health and Sport, Victoria University, Footscray, Melbourne, Australia.
Federation University, Ballarat, Australia.
BMC Psychiatry. 2021 Apr 1;21(1):176. doi: 10.1186/s12888-021-03148-8.
Internet gaming Disorder (IGD) constitutes a recently proposed clinical disorder (American Psychiatric Association, Diagnostic and statistical manual of mental disorders, 2013). The present study examined if IGD is best conceptualized as categorical (present/absent), or dimensional (severity ranging from low to high), or both (i.e., hybrid of categorical/dimensional).
Ratings of the nine DSM-5 IGD symptoms, as presented in the Internet Gaming Disorder Scale 9-Short Form (Pontes & Griffiths, Comput Hum Behav 45:137-143, 2015), from 738 gamers, aged 17 to 72 years, were collected. Confirmatory factor analysis (CFA), latent class analysis (LCA), and factor mixture modelling analysis (FMMA) procedures were applied to determine the optimum IGD model.
Although the findings showed most support for a FFMA model with two classes and one factor, there was also good statistical and substantive support for the one-factor CFA model, and the LCA model with three classes.
It was concluded that while the optimum structure of IGD is most likely to be a hybrid model (i.e., concurrently categorical and dimensional), a uni-dimensional model and/or a three-class categorical model are also plausible.
网络成瘾障碍（IGD）是一种最近提出的临床障碍（美国精神病学会，《精神障碍诊断与统计手册》，2013 年）。本研究探讨了 IGD 是否最好被概念化为分类（存在/不存在），或维度（从低到高的严重程度），或两者兼有（即分类/维度的混合）。
从 738 名年龄在 17 至 72 岁的游戏玩家那里收集了《互联网游戏障碍量表 9-短表》（Pontes 和 Griffiths，《计算机与人类行为》45：137-143，2015）中呈现的九种 DSM-5 IGD 症状的评定。采用验证性因子分析（CFA）、潜在类别分析（LCA）和因子混合建模分析（FMMA）程序来确定最佳的 IGD 模型。
尽管研究结果最支持具有两个类别和一个因子的 FFMA 模型，但也有很好的统计和实质性支持单因子 CFA 模型，以及具有三个类别的 LCA 模型。
虽然 IGD 的最佳结构很可能是混合模型（即同时具有分类和维度），但单维模型和/或三分类分类模型也是合理的。
