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精神分裂症的阳性和阴性症状。一种聚类分析方法。

Positive and negative symptoms in schizophrenia. A cluster-analytic approach.

作者信息

Morrison R L, Bellack A S, Wixted J T, Mueser K T

机构信息

Department of Psychiatry, Medical College of Pennsylvania, EPPI, Philadelphia 19219.

出版信息

J Nerv Ment Dis. 1990 Jun;178(6):377-84. doi: 10.1097/00005053-199006000-00006.

Abstract

The relationships between positive and negative symptoms of schizophrenia and between negative symptoms and social dysfunction were investigated using cluster analysis. Clustering across schizophrenic subjects produced three distinct groups, each characterized by some mix of positive and negative symptoms. Clustering across symptoms and behavioral variables produced a cluster comprising negative symptoms and measures of social adjustment and an additional cluster comprising only measures of social skill. A series of correlations revealed a positive relationship between positive and negative symptom measures. chi 2 analysis revealed a significant relationship between the cluster solution across subjects and classification of patients according to negative symptoms based on previously published criteria. Results are discussed in terms of the implications for the further development and refinement of subclassification schemes for schizophrenia.

摘要

使用聚类分析研究了精神分裂症的阳性和阴性症状之间以及阴性症状与社会功能障碍之间的关系。对精神分裂症患者进行聚类产生了三个不同的组,每组都有阳性和阴性症状的某种组合。对症状和行为变量进行聚类产生了一个包含阴性症状以及社会适应指标的聚类,还有一个仅包含社交技能指标的聚类。一系列相关性揭示了阳性和阴性症状指标之间存在正相关关系。卡方分析显示,基于先前公布的标准,患者的聚类结果与根据阴性症状进行的分类之间存在显著关系。根据这些结果对精神分裂症亚分类方案的进一步发展和完善的意义进行了讨论。

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