Slade Tim
Clinical Research Unit for Anxiety and Depression, 299 Forbes Street, Darlinghurst, NSW 2010, Australia.
Aust N Z J Psychiatry. 2007 May;41(5):403-10. doi: 10.1080/00048670701261194.
Past taxometric studies of depression have yielded equivocal results. Diversity of sample type may provide one explanation for this. The aim of the present study was to examine the latent structure of depression across clinical and community samples using exactly the same taxometric procedures involving exactly the same indicators of depression.
Two taxometric procedures, MAXEIG (maximum eigenvalue) and MAMBAC (mean above minus mean below a cut), were carried out on a clinical sample of 960 outpatients with mood and anxiety disorders. Simulated categorical and dimensional data sets as well as other consistency tests aided in the interpretation of the research data. Results were compared to a prior taxometric analysis in a community sample.
The results of the current taxometric analyses were consistent with a dimensional latent structure and were compatible with the findings from identical analyses in a community sample.
The findings of the current study highlight the importance of identifying factors that may contribute to, and explain, differences in the identified latent structure of depression.
以往关于抑郁症的分类分析研究结果并不明确。样本类型的多样性可能是一个解释。本研究的目的是使用完全相同的分类分析程序和完全相同的抑郁指标，来检验临床样本和社区样本中抑郁症的潜在结构。
对960名患有情绪和焦虑障碍的门诊患者的临床样本进行了两种分类分析程序，即MAXEIG（最大特征值）和MAMBAC（切点以上均值减去切点以下均值）。模拟的分类和维度数据集以及其他一致性检验有助于对研究数据进行解释。将结果与之前在社区样本中的分类分析结果进行比较。
当前分类分析的结果与维度潜在结构一致，并且与社区样本中相同分析的结果相符。
本研究结果突出了识别可能导致并解释已确定的抑郁症潜在结构差异的因素的重要性。
