Seignourel Paul J, Green Charles, Schmitz Joy M
Department of Psychiatry and Behavioral Sciences, University of Texas, 1300 Moursund Street, Houston, TX 77030, USA.
Drug Alcohol Depend. 2008 Mar 1;93(3):271-8. doi: 10.1016/j.drugalcdep.2007.10.016.
Screening instruments are needed to rapidly and efficiently identify depression in drug and alcohol users. The Beck Depression Inventory-Second Edition (BDI-II) has excellent validity in psychiatric, normative and primary care samples, but its diagnostic efficiency has not been examined in substance users. Using a large sample of treatment-seeking substance users and the Structured Clinical Interview for Diagnostic and Statistical Manual of Mental Disorders-Fourth Edition (DSM-IV) to establish diagnosis, we examined the factor structure of the BDI-II and its ability to detect clinical depression, defined as the presence of a Major Depressive Disorder (MDD) or substance-induced depression. A three-factor structure provided the best fit, and the diagnostic efficiency of the BDI-II was moderate, and independent of gender and substance of abuse. Subscores had lower diagnostic efficiency than the BDI-II total score. A range of possible cutoff scores with corresponding sensitivity, specificity, positive predictive power and negative predictive power is provided to aid clinicians and researchers in choosing the optimal parameters for their screening needs.
需要筛查工具来快速、有效地识别吸毒和酗酒者中的抑郁症。贝克抑郁量表第二版(BDI-II)在精神病学、正常人群和初级保健样本中具有出色的效度,但尚未在药物使用者中检验其诊断效率。我们使用大量寻求治疗的药物使用者样本,并采用《精神疾病诊断与统计手册》第四版(DSM-IV)结构化临床访谈来进行诊断,检验了BDI-II的因子结构及其检测临床抑郁症(定义为存在重度抑郁症(MDD)或物质所致抑郁症)的能力。三因子结构拟合最佳,BDI-II的诊断效率中等,且与性别和滥用物质无关。各子量表的诊断效率低于BDI-II总分。提供了一系列可能的临界值分数以及相应的敏感性、特异性、阳性预测值和阴性预测值,以帮助临床医生和研究人员为其筛查需求选择最佳参数。