Blazer D, Swartz M, Woodbury M, Manton K G, Hughes D, George L K
Duke University Medical Center, Durham, NC 27710.
Arch Gen Psychiatry. 1988 Dec;45(12):1078-84. doi: 10.1001/archpsyc.1988.01800360026004.
A multivariate classification technique was used to examine whether depressive symptoms and symptoms frequently associated with depressive disorders would cluster into recognizable syndromes that parallel traditional DSM-III psychiatric diagnoses. An analysis was made of all respondents in the Epidemiologic Catchment Area (ECA) project of the Piedmont region of North Carolina who reported suffering from depressive symptoms (n = 406) at the second wave of the ECA study. The analysis identified five profiles of symptoms that adequately described the interrelationships of the symptoms as reported in the population. One profile included a set of symptoms nearly identical to the symptoms associated with the DSM-III classification of major depression. Other depressive syndromes emerged and included a premenstrual syndrome among younger women and a mixed anxiety/depression syndrome. The existence of these other depressive syndromes may explain the present discrepancy in the epidemiologic literature between a high prevalence of depressive symptoms and a low prevalence of traditional depressive diagnoses in community populations.
采用多元分类技术来检验抑郁症状以及常与抑郁症相关的症状是否会聚类成可识别的综合征，这些综合征与传统的《精神疾病诊断与统计手册》第三版（DSM-III）的精神科诊断相对应。对北卡罗来纳州皮埃蒙特地区流行病学集水区（ECA）项目的所有受访者进行了分析，这些受访者在ECA研究的第二轮中报告有抑郁症状（n = 406）。分析确定了五种症状概况，充分描述了人群中所报告症状之间的相互关系。一种概况包括一组与DSM-III中重度抑郁症分类相关的几乎相同的症状。其他抑郁综合征也出现了，包括年轻女性的经前综合征和混合性焦虑/抑郁综合征。这些其他抑郁综合征的存在可能解释了目前流行病学文献中社区人群中抑郁症状高患病率与传统抑郁诊断低患病率之间的差异。
