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Measuring melancholia: the utility of a prototypic symptom approach

Published online by Cambridge University Press:  16 September 2008

G. Parker*
Affiliation:
School of Psychiatry, University of New South Wales, Sydney, Australia Black Dog Institute, Sydney, Australia
K. Fletcher
Affiliation:
School of Psychiatry, University of New South Wales, Sydney, Australia Black Dog Institute, Sydney, Australia
M. Hyett
Affiliation:
Black Dog Institute, Sydney, Australia
D. Hadzi-Pavlovic
Affiliation:
School of Psychiatry, University of New South Wales, Sydney, Australia Black Dog Institute, Sydney, Australia
M. Barrett
Affiliation:
Black Dog Institute, Sydney, Australia
H. Synnott
Affiliation:
Black Dog Institute, Sydney, Australia
*
*Address for correspondence: Professor G. Parker, Black Dog Institute, Hospital Road, Randwick, NSW 2031, Australia. (Email: [email protected])

Abstract

Background

Melancholia has long resisted classification, with many of its suggested markers lacking specificity. The imprecision of depressive symptoms, in addition to self-report biases, has limited the capacity of existing measures to delineate melancholic depression as a distinct subtype. Our aim was to develop a self-report measure differentiating melancholic and non-melancholic depression, weighting differentiation by prototypic symptoms and determining its comparative classification success with a severity-based strategy.

Method

Consecutively recruited depressed out-patients (n=228) rated 32 symptoms by prototypic or ‘characteristic’ relevance (using the Q-sort strategy) and severity [using the Severity-based Depression Rating System (SDRS) strategy]. Clinician diagnosis of melancholic/non-melancholic depression was the criterion measure, but two other formal measures of melancholia (Newcastle and DSM-IV criteria) were also tested.

Results

The prevalence of ‘melancholia’ ranged from 20.9% to 54.2% across the subtyping measures. The Q-sort measure had the highest overall correct classification rate in differentiating melancholic and non-melancholic depression (81.6%), with such decisions supported by validation analyses.

Conclusions

In differentiating a melancholic subtype or syndrome, prototypic symptoms should be considered as a potential alternative to severity-based ratings.

Type
Original Articles
Copyright
Copyright © Cambridge University Press 2008

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References

Agha, M, Ibrahim, MT (1984). Algorithm AS 203: maximum likelihood estimation of mixtures of distributions. Applied Statistics 33, 327332.CrossRefGoogle Scholar
Bech, P (2002). The Bech–Rafaelsen Melancholia Scale (MES) in clinical trials of therapies in depressive disorders: a 20-year review of its use as outcome measure. Acta Psychiatrica Scandinavica 106, 252264.CrossRefGoogle ScholarPubMed
Bech, P, Rafaelsen, OJ (1980). The use of rating scales exemplified by a comparison of the Hamilton and the Bech–Rafaelsen Melancholia Scale. Acta Psychiatrica Scandinavica 62 (Suppl. 285), 128132.CrossRefGoogle Scholar
Block, J (1961). The Q-sort Method in Personality Assessment and Psychiatric Research. Charles C. Thomas: Springfield, IL.CrossRefGoogle Scholar
Carney, MW, Roth, M, Garside, RF (1965). The diagnosis of depressive syndromes and the prediction of E.C.T. response. British Journal of Psychiatry 111, 659674.CrossRefGoogle ScholarPubMed
Demyttenaere, K, De Fruyt, J (2003). Getting what you ask for: on the selectivity of depression rating scales. Psychotherapy and Psychosomatics 72, 6170.CrossRefGoogle ScholarPubMed
Jones, EE (1985). Manual for the Psychotherapy Process Q-sort. Unpublished manuscript, University of California, Berkeley.Google Scholar
Kendell, RE (1989). Clinical validity. Psychological Medicine 19, 4555.CrossRefGoogle ScholarPubMed
Kraemer, HC (1992). Evaluating Medical Tests: Objective and Quantitative Guidelines. Sage: Newbury Park, CA.Google Scholar
Leventhal, AM, Rehm, LP (2005). The empirical status of melancholia: implications for psychology. Clinical Psychology Review 25, 2544.CrossRefGoogle ScholarPubMed
McKeown, BF, Thomas, DB (1988). Q Methodology. Sage: Newbury Park, CA.CrossRefGoogle Scholar
Nelson, JC, Charney, DS (1981). The symptoms of major depressive illness. American Journal of Psychiatry 138, 113.Google ScholarPubMed
Parker, G, Hadzi-Pavlovic, D (1996). Melancholia: A Disorder of Movement and Mood. Cambridge University Press: New York.CrossRefGoogle Scholar
Parker, G, Hilton, T, Bains, J, Hadzi-Pavlovic, D (2002). Cognitive-based measures screening for depression in the medically ill: the DMI-10 and DMI-18. Acta Psychiatrica Scandinavica 105, 419426.CrossRefGoogle ScholarPubMed
Pilowsky, I, Levine, S, Boulton, DM (1969). The classification of depression by numerical taxonomy. British Journal of Psychiatry 115, 937945.CrossRefGoogle ScholarPubMed
Rush, AJ, Hiser, W, Giles, DE (1987). A comparison of self-reported versus clinician-related symptoms in depression. Journal of Clinical Psychiatry 48, 246248.Google ScholarPubMed
Rush, AJ, Trivedi, MH, Ibrahim, HM, Carmody, TJ, Arnow, B, Klein, DN, Markowitz, JC, Ninan, PT, Kornstein, S, Manber, R, Thase, ME, Kocsis, JH, Keller, MB (2003). The 16-item Quick Inventory of Depressive Symptomatology (QIDS) Clinician Rating (QIDS-C) and Self-Report (QIDS-SR): a psychometric evaluation in patients with chronic major depression. Biological Psychiatry 54, 573583.CrossRefGoogle ScholarPubMed
Rush, AJ, Weissenburger, JE (1994). Melancholic symptom features and DSM-IV. American Journal of Psychiatry 151, 489498.Google ScholarPubMed
Smolka, M, Stieglitz, RD (1999). On the validity of the Bech–Rafaelsen Melancholia Scale (BRMS). Journal of Affective Disorders 54, 119128.CrossRefGoogle ScholarPubMed
Spitzer, RL (1983). Psychiatric diagnosis: are clinicians still necessary? Comprehensive Psychiatry 24, 399411.CrossRefGoogle ScholarPubMed
Taylor, MA, Fink, M (2006). Melancholia: The Diagnosis, Pathophysiology, and Treatment of Depressive Illness. Cambridge University Press: New York.CrossRefGoogle Scholar
Watts, S, Stenner, P (2005). Doing Q methodology: theory, method and interpretation. Qualitative Research in Psychology 2, 6791.CrossRefGoogle Scholar
Zimmerman, M, Coryell, W (1987). The Inventory to Diagnose Depression (IDD): a self-report scale to diagnose major depressive disorder. Journal of Consulting and Clinical Psychology 55, 5559.CrossRefGoogle Scholar