Hostname: page-component-8448b6f56d-c4f8m Total loading time: 0 Render date: 2024-04-16T17:41:33.677Z Has data issue: false hasContentIssue false
  • English
  • Français

The Endogenous Sub-type of Depression: A Study of its Internal Construct Validity

Published online by Cambridge University Press:  29 January 2018

Michael A. Young ,
William A. Scheftner ,
Gerald L. Klerman ,
Nancy C. Andreasen  and
Robert M. A. Hirschfeld
Michael A. Young*
Affiliation:
Departments of Psychiatry and Psychology, Rush-Presbyterian-St. Luke's Medical Center, Chicago, Illinois, 60612, USA
William A. Scheftner
Affiliation:
Department of Psychiatry, Rush-Presbyterian-St Luke's Medical Center, Chicago, Illinois, 60612, USA
Gerald L. Klerman
Affiliation:
Department of Psychiatry, Harvard Medical School, Boston, Massachusetts, USA
Nancy C. Andreasen
Affiliation:
Department of Psychiatry, University of Iowa College of Medicine, Iowa City, Iowa, USA
Robert M. A. Hirschfeld
Affiliation:
Center for Studies of Affective Disorders, Clinical Research Branch, Division of Extramural Research Programs, National Institute of Mental Health, Rockville, Maryland, USA
*
∗Correspondence
Get access Rights & Permissions [Opens in a new window]

Abstract

The internal construct validity of the endogenous sub-type of major depression was investigated by statistically modelling the RDC endogenous and DSM-III melancholia diagnostic criteria. Data consisted of symptom ratings on 788 patients with major depression from NIMH Collaborative Depression Study. Results indicated that the symptoms in the criteria do not specify a dichotomous classification, melancholic-non-melancholic or endogenous-nonendogenous. Results did support the existence of two sub-typings, one related to anhedonia, and one related to vegetative symptoms. The vegetative sub-type rarely occurred in non-anhedonic patients. Previous studies may have found support for a simple endogenous sub-type because of this hierarchical relationship and as a result of methodological differences.

Type
Papers
Information
The British Journal of Psychiatry , Volume 148 , Issue 3 , March 1986 , pp. 257 - 267
Copyright
Copyright © 1986 The Royal College of Psychiatrists 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Footnotes

From the National Institute of Mental Health, Clinical Research Branch, Collaborative Program on the Psychobiology of Depression: Clinical Studies.

References

American Psychiatric Association (1980). Diagnostic and Statistical Manual of Mental Disorders. 3rd ed. Washington, D. C: American Psychiatric Association.Google Scholar
Andreasen, N. C. Grove, W. M. & Mauer, R. (1980). Cluster analysis and the classification of depression. British Journal Psychiatry, 137, 256–265.CrossRefGoogle ScholarPubMed
Carney, W. M. P., Roth, M. & Garside, R. F. (1965). The diagnosis of depressive syndromes and the prediction of ECT response. British Journal of Psychiatry, 111, 659–674.CrossRefGoogle Scholar
Clogg, C. C. (1977). Unrestricted and Restricted Maximum Likelihood Latent Structure Analysis: A Manual for Users. Working paper 1977–09, Pennsylvania State University, Population Issues Research Center.Google Scholar
Clogg, C. C. & Goodman, L. A. (1984). Latent structure analysis of a set of multidimensional contingency tables. Journal of the American Statistical Association, 79, 762–771.CrossRefGoogle Scholar
Endicott, J. & Spitzer, R. L. (1978). A diagnostic interview: The schedule for affective disorders and schizophrenia. Archives of General Psychiatry. 35, 831–844.CrossRefGoogle ScholarPubMed
Eysenck, H. J. (1970). The classification of depressive illness. British Journal of Psychiatry, 117, 241–250.CrossRefGoogle Scholar
Gillespie, R. D. (1929). The clinical differentiation of types of depression. Guy's Hospital Reports, 9, 306–344.Google Scholar
Golden, R. R. (1982). A taxometric model for the detection of a conjectured latent taxon. Multivariate Behavior Research, 17, 389–416.CrossRefGoogle ScholarPubMed
Goodman, L. A. (1970). The multivariate analyis of qualitative data. Journal of the American Statistical Association. 65, 226–56.CrossRefGoogle Scholar
Hibbert, G. A., Teasdale, J. D. & Spencer, P. (1984). Covariation of depressive symptoms over time. Psychological Medicine, 14, 451–455.CrossRefGoogle ScholarPubMed
Hirschfeld, R. M. A. & Katz, M. M. (1978). Phenomenology and classification of depression. In Psychopharmacology: A Generation of Progress (eds Lipton, M. A., DiMascio, A. & Killam, K. F.). New York: Raven Press.Google Scholar
Katz, M. M., Secunda, S. K., Hirschfeld, R. M. A. & Koslow, S. H. (1979). NIMH Clinical Research Branch Collaborative Program on the psychobiology of depression. Archives of General Psychiatry, 36, 765–771.CrossRefGoogle ScholarPubMed
Kendell, R. E. (1976). The classification of depressions: A review of contemporary confusion. British Journal of Psychiatry, 129, 15–28.CrossRefGoogle ScholarPubMed
Kendell, R. E. (1975). The Role of Diagnosis in Psychiatry. Oxford: Blackwell.Google Scholar
Kendell, R. E. & Brockington, I. F. (1980). The identification of disease entities and the relationship between schizophrenia and affective psychoses. British Journal of Psychiatry, 137, 324–331.CrossRefGoogle ScholarPubMed
Kiloh, L. G. & Garside, R. F. (1963). The independence of neurotic depression and endogenous depression. British Journal of Psychiatry, 109, 451–463.CrossRefGoogle ScholarPubMed
Klein, D. F. (1974). Endogenomorphic depression: A conceptual and terminological revision. Archives General Psychiatry, 341, 447–454.CrossRefGoogle Scholar
Klerman, G. L. (1980). Overview of affective disorders. In Comprehensive Textbook of Psychiatry (eds Kaplan, H. I., Freedman, A. H. & Sadock, B. J.). Baltimore: Williams & Wilkins.Google Scholar
Maxwell, A. E. (1971). Multivariate statistical methods and classification problems. British Journal of Psychiatry, 119, 121–127.CrossRefGoogle ScholarPubMed
Mendels, J. & Cochrane, C. (1968). The nosology of depression: The endogenous-reactive concept. American Journal of Psychiatry, 124, Supplement. 1–11.CrossRefGoogle ScholarPubMed
Nelson, J. C. & Charney, D. S. (1981). The symptoms of major depressive illness. American Journal Psychiatry, 138, 1–13.Google ScholarPubMed
Nelson, J. C. Charney, D. S. & Quinlan, D. M. (1980). Characteristics of autonomous depression. Journal of Nervous and Mental Disease, 168, 637–643.CrossRefGoogle ScholarPubMed
Paykel, E. S. (1971). Classification of depressed patients: a cluster analysis derived grouping. British Journal of Psychiatry, 118, 275–278.CrossRefGoogle ScholarPubMed
Paykel, E. S. (1981). Have multivariate statistics contributed to classification? British Journal of Psychiatry, 139, 357–362.CrossRefGoogle ScholarPubMed
Raskin, A. & Crook, T. H. (1976). The endogenous-neurotic distinct as a predictor of response to antidepressant drugs. Psychological Medicine, 6, 59–70.CrossRefGoogle ScholarPubMed
Rosenthal, S. H. & Gudeman, J. E. (1967). The endogenous depressive pattern: An empirical investigation. Archives General Psychiatry, 16, 241–249.CrossRefGoogle ScholarPubMed
Rosenthal, S. H. & Klerman, G. L. (1966). Content and consistency in the endogenous depressive pattern. British Journal Psychiatry, 112, 471–484.CrossRefGoogle Scholar
Spitzer, R. L., Endicott, J. & Robins, E. (1978). Research diagnostic criteria; Rationale and reliability. Archives of General Psychiatry, 35, 773–782.CrossRefGoogle ScholarPubMed
Waldman, H. (1972). Die Tagesschwankung in der Depression als rhythmisches Phanomenon. Fortschritte der Neurologie-Psychiatrie, 40, 83–104.Google Scholar
Young, M. A. (1983). Evaluating diagnostic criteria: a latent class paradigm. Journal of Psychiatrie Research, 17, 285–296.CrossRefGoogle Scholar
Young, M. A. & Tanner, M. A. (1983). Recent advances in the analysis of qualitative data with applications to diagnostic classification. In Statistical and Methodological Advances in Psychiatric Research, (eds Gibbons, R. D., and Dysken, M.). New York: Spectrum.Google Scholar
Submit a response

eLetters

No eLetters have been published for this article.