Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, Ludwig-Maximilians-Universität München, Bavaria, Germany.
Psychiatry Res. 2012 Dec 30;200(2-3):843-8. doi: 10.1016/j.psychres.2012.05.011. Epub 2012 May 30.
The Beck Depression Inventory-Second Edition (BDI-II) was developed as an indicator of the presence and severity of depression in psychiatric patients from age 13. Its cut-off scores were derived from an adult sample and differentiate four categories of severity but contain no screening cut-off score for classifying patients as depressed vs. nondepressed. We aimed to determine this screening cut-off score and to examine the utility of the severity cut-off scores for adolescents in mental health care. 88 adolescent psychiatric patients (13-16 years, 58% female) completed the German BDI-II. A structured diagnostic interview served as the reference standard for computing receiver operating characteristic (ROC) curves and identified 24 adolescents (27%) as depressed. ROC analysis of depressed vs. nondepressed patients yielded an area under the curve (AUC) value of 0.93. The optimal screening cut-off score according to Youden's Index was ≥23, where sensitivity was 0.88 and specificity was 0.92. The severity cut-off scores yielded satisfying sensitivity (≥0.89) and specificity (≥0.72) for mild and moderate but not for severe depression. Our findings indicate that the BDI-II can be recommended for screening for depressive disorders in adolescent mental health patients. However, the currently used severity cut-off scores may be suboptimal for this population.
贝克抑郁自评量表第二版(BDI-II)是作为评估精神病患者抑郁的存在和严重程度的指标而开发的,适用人群为 13 岁以上的成年人。其分界分数来源于成年人样本,将严重程度分为四个类别,但没有用于将患者分类为抑郁或非抑郁的筛查分界分数。我们旨在确定这个筛查分界分数,并研究其在青少年心理健康护理中的严重程度分界分数的实用性。88 名青少年精神科患者(13-16 岁,58%为女性)完成了德国 BDI-II。一项结构性诊断访谈作为计算受试者工作特征(ROC)曲线的参考标准,确定了 24 名青少年(27%)患有抑郁症。对抑郁和非抑郁患者的 ROC 分析得出曲线下面积(AUC)值为 0.93。根据 Youden 指数,最佳的筛查分界分数为≥23,此时的敏感性为 0.88,特异性为 0.92。严重程度分界分数对轻度和中度抑郁具有令人满意的敏感性(≥0.89)和特异性(≥0.72),但对重度抑郁则不然。我们的研究结果表明,BDI-II 可推荐用于筛查青少年心理健康患者的抑郁障碍。然而,目前使用的严重程度分界分数可能对该人群不太适用。