Andreasen N C, Grove W M
Am J Psychiatry. 1982 Jan;139(1):45-52. doi: 10.1176/ajp.139.1.45.
The authors examine the classification of depressive disorders with an empirically and mathematically based method, cluster analysis. In a sample of 228 patients from the NIMH Collaborative Study of the Psychobiology of Depression, clusters were generated by using crossectional symptoms; course of illness, family history, and treatment variables were used as independent variables to evaluate the validity of the clusters. The four clusters identified correspond roughly to severe depressions with endogenous features, less severe depressions, bipolar depression with cycling within the episode, and psychotic depressions. This study supports the Research Diagnostic Criteria and DSM-III approaches to the classification of depressive disorders.
作者们采用一种基于经验和数学的方法——聚类分析，来研究抑郁症的分类。在来自美国国立精神卫生研究所抑郁症心理生物学合作研究的228名患者样本中，通过横断面症状生成聚类；将病程、家族史和治疗变量用作自变量，以评估这些聚类的有效性。所确定的四个聚类大致对应于具有内源性特征的重度抑郁症、不太严重的抑郁症、发作期内有循环的双相抑郁症以及精神病性抑郁症。这项研究支持了研究诊断标准和《精神疾病诊断与统计手册》第三版中关于抑郁症分类的方法。
