Park Kiho, Jaekal Eunju, Yoon Seowon, Lee Seung-Hwan, Choi Kee-Hong
Department of Psychology, Korea University, Seoul, South Korea.
KU Mind Health Institute, Korea University, Seoul, South Korea.
Front Psychol. 2020 Jan 21;10:2934. doi: 10.3389/fpsyg.2019.02934. eCollection 2019.
The Beck Depression Inventory-II (BDI-II) is one of the most widely used depression assessment tools in Korea. However, the psychometric properties and diagnostic cut-off point of the official Korean version of the BDI-II have not yet been reported. This study aims to clarify the psychometric properties and diagnostic utility of the Korean BDI-II. A total of 1,145 clinical and non-clinical Korean adults participated in this study. The BDI-II showed a high level of internal consistency and high correlations with other depression-related measures. Confirmatory factor analysis (CFA) was performed, and a 3-factor model showed the best model fit. To identify the diagnostic utility of the BDI-II, the Quality Assessment of Diagnostic Accuracy Studies 2nd Edition (QUADAS-2) methodology was applied in participant recruitment and research design. Results of ROC curve analysis suggested two optimal cut-off scores, 23 points for detecting major depressive disorder (MDD) (83.3% sensitivity, 86.8% specificity) and 17 points for depressive-related disorder (80.9% sensitivity, 76.4% specificity). To identify the usefulness of the BDI-II as a severity assessment tool or screening tool, a test information curve (TIC) was generated with an Item Response Theory (IRT) analysis. The TIC was flat and plateau-like, indicating its appropriateness as a severity rating tool. Research data supports the BDI-II as a reliable and valid screening tool as well as a severity rating tool in the Korean adult population.
贝克抑郁量表第二版（BDI-II）是韩国使用最广泛的抑郁评估工具之一。然而，BDI-II官方韩语版本的心理测量特性和诊断临界值尚未见报道。本研究旨在阐明韩语版BDI-II的心理测量特性和诊断效用。共有1145名韩国成年临床和非临床参与者参与了本研究。BDI-II显示出高度的内部一致性，并且与其他抑郁相关测量指标高度相关。进行了验证性因素分析（CFA），三因素模型显示出最佳的模型拟合。为了确定BDI-II的诊断效用，在参与者招募和研究设计中应用了《诊断准确性研究质量评估第二版》（QUADAS-2）方法。ROC曲线分析结果表明有两个最佳临界分数，用于检测重度抑郁症（MDD）为23分（灵敏度83.3%，特异度86.8%），用于抑郁相关障碍为17分（灵敏度80.9%，特异度76.4%）。为了确定BDI-II作为严重程度评估工具或筛查工具的有用性，通过项目反应理论（IRT）分析生成了测试信息曲线（TIC）。TIC呈平坦且类似高原的形状，表明其适合作为严重程度评级工具。研究数据支持BDI-II作为韩国成年人群中可靠且有效的筛查工具以及严重程度评级工具。
