Classification of Depressed Patients: A Cluster Analysis Derived Grouping
The British Journal of PsychiatryPublished 1 March 1971
Eugene S. Paykel
Citations391
SJR quartileQ1
SJR score2.47
SNIP2.17
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TL;DR
The emergence of these multiple and easily interpretable groups of depressed patients suggests that non-psychotic depressives are diverse and comprise several groups, and suggests the utility of cluster analysis grouping techniques for studying the classification of psychiatric patients.
Abstract
In recent years there has been a considerable interest in the classification of depressed patients, and in the use of multivariate statistical techniques as tools for classifying, with the hope of either validating traditional classifications or suggesting useful new ones. One technique employed for this purpose has been factor analysis. A number of studies have used this method to explore the overlapping endogenous-reactive or psychotic-neurotic dichotomies. Most have demonstrated a factor or factors reflecting such a dimension which appears to form a consistent, systematic source of variance in ratings of depressed patients (1, 5, 11, 15, 16, 18, 26, 31, 33).
Keywords
PsychologyMedicineNeuroscience
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