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九项网络成瘾障碍量表简版(IGDS9-SF)在中国背景下的临界值澄清

Clarification of the Cut-off Score for Nine-Item Internet Gaming Disorder Scale-Short Form (IGDS9-SF) in a Chinese Context.

作者信息

Qin Lixia, Cheng Limei, Hu Maorong, Liu Qiaosheng, Tong Jianqin, Hao Wei, Luo Tao, Liao Yanhui

机构信息

Department of Psychology, Hospital of Tsinghua University, Beijing, China.

Department of Psychology, Yingtan People's Hospital, Yingtan, China.

出版信息

Front Psychiatry. 2020 May 25;11:470. doi: 10.3389/fpsyt.2020.00470. eCollection 2020.

Abstract

BACKGROUND

The nine-item Internet Gaming Disorder Scale-Short-Form (IGDS9-SF) is a self-reported screening measure based on the Diagnostic and Statistical Manual of Mental Disorders (DSM-5) criteria. It has been used to assesses symptoms and prevalence of Internet Gaming Disorder (IGD) in general population. Despite its widespread use, there is confusion arising from the recommended cutoff score for a positive diagnosis. This study aimed to identify the appropriate cutoff score for IGDS9-SF in a Chinese context.

METHODS

The present study included a sample from clinical settings (n = 131) and another from universities (n = 3742). IGDS9-SF measurement and structured clinical interviews based on DSM-5 criteria for IGD were conducted in the sample from clinical settings. The cutoff score was determined using the receiver operating characteristics (ROC) curve. The validity of this cutoff score was further assessed in a sample from universities.

RESULTS

Mathematical models suggest that the score of 32 is the optimal cutoff point (Youden's index, 96.2%; diagnostic accuracy, 96.1%; sensitivity, 98.0%; specificity, 91.9%; NPV, 91.9%; and NPY, 100%). The prevalence of IGD is 2.9% in this study.

CONCLUSION

This study suggested that the optimal cutoff score of IGDS9-SF is 32 for the positive diagnosis of IGD in a Chinese context.

摘要

背景

九项互联网游戏障碍量表简版(IGDS9-SF)是一种基于《精神疾病诊断与统计手册》(DSM-5)标准的自我报告筛查工具。它已被用于评估普通人群中互联网游戏障碍(IGD)的症状和患病率。尽管其被广泛使用,但对于阳性诊断的推荐临界值存在混淆。本研究旨在确定在中国背景下IGDS9-SF的合适临界值。

方法

本研究包括来自临床机构的样本(n = 131)和来自大学的另一样本(n = 3742)。对来自临床机构的样本进行IGDS9-SF测量以及基于DSM-5的IGD标准的结构化临床访谈。使用受试者工作特征(ROC)曲线确定临界值。在来自大学的样本中进一步评估该临界值的有效性。

结果

数学模型表明,32分为最佳临界点(约登指数为96.2%;诊断准确性为96.1%;敏感性为98.0%;特异性为91.9%;阴性预测值为91.9%;阴性似然比为100%)。本研究中IGD的患病率为2.9%。

结论

本研究表明,在中国背景下,IGDS9-SF用于IGD阳性诊断的最佳临界值为32分。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5fb9/7262730/87923b4e2e17/fpsyt-11-00470-g001.jpg

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