Williams Zachary J, Everaert Jonas, Gotham Katherine O
Vanderbilt University School of Medicine, Nashville, TN, USA.
Vanderbilt University Medical Center, Nashville, TN, USA.
Assessment. 2021 Apr;28(3):858-876. doi: 10.1177/1073191120952889. Epub 2020 Aug 29.
Depressive disorders are common in autistic adults, but few studies have examined the extent to which common depression questionnaires are psychometrically appropriate for use in this population. Using item response theory, this study examined the psychometric properties of the Beck Depression Inventory-II (BDI-II) in a sample of 947 autistic adults. BDI-II latent trait scores exhibited strong reliability, construct validity, and moderate ability to discriminate between depressed and nondepressed adults on the autism spectrum (area under the receiver operating characteristic curve = 0.796 [0.763, 0.826], sensitivity = 0.820 [0.785, 0.852], specificity = 0.653 [0.601, 0.699]). These results collectively indicate that the BDI-II is a valid measure of depressive symptoms in autistic adults, appropriate for quantifying depression severity in research studies or screening for depressive disorders in clinical settings. A free online score calculator has been created to facilitate the use of BDI-II latent trait scores for clinical and research applications (available at https://asdmeasures.shinyapps.io/bdi_score/).
抑郁症在成年自闭症患者中很常见，但很少有研究考察常用的抑郁问卷在多大程度上在心理测量学上适用于该人群。本研究采用项目反应理论，在947名成年自闭症患者样本中考察了贝克抑郁量表第二版（BDI-II）的心理测量特性。BDI-II潜在特质得分显示出很强的信度、结构效度，以及在区分自闭症谱系中抑郁和非抑郁成年人方面的中等能力（受试者工作特征曲线下面积 = 0.796 [0.763, 0.826]，灵敏度 = 0.820 [0.785, 0.852]，特异度 = 0.653 [0.601, 0.699]）。这些结果共同表明，BDI-II是成年自闭症患者抑郁症状的有效测量工具，适用于在研究中量化抑郁严重程度或在临床环境中筛查抑郁症。现已创建了一个免费的在线分数计算器，以方便在临床和研究应用中使用BDI-II潜在特质得分（可在https://asdmeasures.shinyapps.io/bdi_score/获取）。
