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评估自闭症谱系商数(AQ)在区分高功能自闭症谱系障碍与精神分裂症方面的有效性。

Evaluation of the validity of the Autism Spectrum Quotient (AQ) in differentiating high-functioning autistic spectrum disorder from schizophrenia.

作者信息

Naito Kenichi, Matsui Yusuke, Maeda Kiyoshi, Tanaka Kiwamu

机构信息

Department of Psychiatry and Neurology, Kobe University Graduate School of Medicine, Kobe, Japan.

出版信息

Kobe J Med Sci. 2010 Sep 30;56(3):E116-24.

Abstract

The aim of this study is to examine the validity of the Autism Spectrum Quotient (AQ) to differentiate high-functioning autistic spectrum disorder (ASD) from schizophrenia (SCH). The AQ was developed by Baron-Cohen et al. to measure autistic traits. In addition to the original AQ items, we created self-administered questions about psychotic symptoms (S-scale). We administered the modified AQ to 51 ASD patients and 46 SCH patients, and we compared these two groups in terms of total AQ score, AQ subscale scores and S-scale score. We applied receiver operating characteristic (ROC) curves to examine the discriminating power of the AQ. The mean total AQ score of the ASD group (32.6; SD=6.8; range: 8-48) was significantly higher than that of the SCH group (21.8; SD=7.4; range: 10-39) (p<0.001). All AQ subscale scores of the ASD group were significantly higher than those of the SCH group. By using a cut-off score of 29 for the AQ total score, we were able to correctly classify 80% of the subjects. At this cut-off, the positive and negative predictive values were 0.83 and 0.78, respectively. Inclusion of additional questions of the S-scale did not increase the power of differentiation. These results indicate that the usefulness of the AQ in differentiating high-functioning ASD from SCH is limited.

摘要

本研究的目的是检验自闭症谱系商数(AQ)区分高功能自闭症谱系障碍(ASD)与精神分裂症(SCH)的有效性。AQ由巴伦-科恩等人编制,用于测量自闭症特质。除了原始的AQ项目外,我们还编制了关于精神病症状的自填式问题(S量表)。我们对51例ASD患者和46例SCH患者施测了修改后的AQ,并比较了两组在AQ总分、AQ子量表分数和S量表分数方面的差异。我们应用受试者工作特征(ROC)曲线来检验AQ的鉴别能力。ASD组的平均AQ总分(32.6;标准差=6.8;范围:8 - 48)显著高于SCH组(21.8;标准差=7.4;范围:10 - 39)(p<0.001)。ASD组的所有AQ子量表分数均显著高于SCH组。通过将AQ总分的临界值设定为29,我们能够正确分类80%的受试者。在此临界值下,阳性预测值和阴性预测值分别为0.83和0.78。纳入S量表的额外问题并没有增加鉴别能力。这些结果表明,AQ在区分高功能ASD与SCH方面的有用性有限。

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