a Human Cognitive Neuroscience Unit, Division of Psychology , Northumbria University , UK.
Psychol Health Med. 2003 Nov;8(4):425-39. doi: 10.1080/1354850310001604568.
The study sought to determine the psychometric properties of the Hospital Anxiety and Depression Scale (HADS) in individuals with chronic fatigue syndrome (CFS) assessed using a web-based data collection tool. Exploratory and confirmatory factor analyses were conducted on the HADS to determine its psychometric properties in 117 individuals with CFS. Seven models were tested to determine model fit to the data. Internal reliability estimations of the anxiety and depression sub-scales were found to be acceptable, however, a three-factor model was found to provide a significantly better fit to the data when compared to the bi-dimensional two-factor structure previously assumed to underpin the HADS' construct validity. The clinical utility of the HADS in the assessment of anxiety and depression in CFS appears to be fundamentally compromised by the presence of a three-dimensional underlying factor structure. Future revision of the HADS is recommended if the instrument is to be used reliably to screen CFS patients.
本研究旨在通过网络数据收集工具评估慢性疲劳综合征（CFS）患者，以确定医院焦虑和抑郁量表（HADS）的心理测量特性。对 HADS 进行了探索性和验证性因素分析，以确定其在 117 名 CFS 患者中的心理测量特性。测试了七个模型以确定模型对数据的拟合程度。焦虑和抑郁分量表的内部可靠性估计被认为是可以接受的，但是与之前假设为 HADS 结构效度基础的二维双因素结构相比，发现三因素模型更能很好地拟合数据。HADS 在 CFS 中评估焦虑和抑郁的临床实用性似乎因存在三维潜在因素结构而受到严重影响。如果该工具要可靠地用于筛查 CFS 患者，则建议对 HADS 进行修订。
