Department of Psychiatry, Chinese University of Hong Kong, Shatin, Hong Kong, China.
Department of Psychology, Chinese University of Hong Kong, Shatin, Hong Kong, China.
J Autism Dev Disord. 2022 Apr;52(4):1807-1820. doi: 10.1007/s10803-021-05079-5. Epub 2021 May 20.
This study examines the psychometric properties of the Autism Diagnostic Interview-Revised (ADI-R) in the context of DSM-5 in a sample of Chinese children. Using re-mapped ADI-R items and algorithms matched to DSM-5 criteria, and administering to children with autism spectrum disorder (ASD) with and without intellectual disability, attention-deficit hyperactivity disorder, and typically developing, it evidenced high sensitivity and specificity. However, similar to DSM-IV algorithm, the DSM-5 algorithms were better at classifying ASD among children with intellectual disability than among those without intellectual disability. With the DSM-5's recognition of the spectrum nature of ASD, the performance of the ADI-R can be improved by having finer gradations in the ADI-R scoring and adding more items on the restricted and repetitve behavior domain.
本研究在中国儿童样本中考察了自闭症诊断访谈修订版（ADI-R）在 DSM-5 背景下的心理计量学特性。使用重新映射的 ADI-R 项目和与 DSM-5 标准匹配的算法，并对自闭症谱系障碍（ASD）儿童和伴有智力障碍、注意力缺陷多动障碍和正常发育的儿童进行测试，结果表明其具有较高的灵敏度和特异性。然而，与 DSM-IV 算法类似，DSM-5 算法在区分智障和非智障儿童的 ASD 方面表现更好。随着 DSM-5 对 ASD 谱系性质的认可，ADI-R 的表现可以通过在 ADI-R 评分中进行更精细的分级以及在受限和重复行为领域增加更多项目来得到改善。
