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The identification of symptom-based subtypes of depression: A nationally representative cohort study

Authors :
Ron de Graaf
Margreet ten Have
Peter de Jonge
Femke Lamers
Marlous Tuithof
Marloes Kleinjan
Aartjan T.F. Beekman
Klaas J. Wardenaar
Saskia van Dorsselaer
Psychiatry
EMGO - Mental health
Interdisciplinary Centre Psychopathology and Emotion regulation (ICPE)
Clinical Cognitive Neuropsychiatry Research Program (CCNP)
Source :
Journal of Affective Disorders, 190, 395-406. Elsevier, Ten Have, M, Lamers, F, Wardenaar, K, Beekman, A, de Jonge, P, van Dorsselaer, S, Tuithof, M, Kleinjan, M & de Graaf, R 2016, ' The identification of symptom-based subtypes of depression : A nationally representative cohort study ', Journal of Affective Disorders, vol. 190, pp. 395-406 . https://doi.org/10.1016/j.jad.2015.10.040, Journal of Affective Disorders, 190, 395-406. ELSEVIER SCIENCE BV
Publication Year :
2016

Abstract

Background: In recent years, researchers have used various techniques to elucidate the heterogeneity in depressive symptoms. This study seeks to resolve the extent to which variations in depression reflect qualitative differences between symptom categories and/or quantitative differences in severity.Methods: Data were used from the Netherlands Mental Health Survey and Incidence Study-2, a nationally representative face-to-face survey of the adult general population. In a subsample of respondents with a lifetime key symptom of depression at baseline and who participated in the first two waves (n=1388), symptom profiles at baseline were based on symptoms reported during their worst lifetime depressive episode. Depressive symptoms and DSM-IV diagnoses were assessed with the Composite International Diagnostic Interview 3.0. Three latent variable techniques (latent class analysis, factor analysis, factor mixture modelling) were used to identify the best subtyping model.Results: A latent class analysis, adjusted for local dependence between weight change and appetite change, described the data best and resulted in four distinct depressive subtypes: severe depression with anxiety (28.0%), moderate depression with anxiety (29.3%), moderate depression without anxiety (23.6%) and mild depression (19.0%). These classes showed corresponding clinical correlates at baseline and corresponding course and outcome indicators at follow-up (i.e., class severity was linked to lifetime mental disorders at baseline, and service use for mental health problems and current disability at followup).Limitations: Although the sample was representative of the population on most parameters, the findings are not generalisable to the most severely affected depressed patients.Conclusions: Depression could best be described in terms of both qualitative differences between symptom categories and quantitative differences in severity. In particular anxiety was a distinguishing feature within moderate depression. This study stresses the central position anxiety occupies in the concept of depression. (C) 2015 Elsevier BY. All rights reserved.

Details

Language :
English
ISSN :
01650327
Database :
OpenAIRE
Journal :
Journal of Affective Disorders, 190, 395-406. Elsevier, Ten Have, M, Lamers, F, Wardenaar, K, Beekman, A, de Jonge, P, van Dorsselaer, S, Tuithof, M, Kleinjan, M & de Graaf, R 2016, ' The identification of symptom-based subtypes of depression : A nationally representative cohort study ', Journal of Affective Disorders, vol. 190, pp. 395-406 . https://doi.org/10.1016/j.jad.2015.10.040, Journal of Affective Disorders, 190, 395-406. ELSEVIER SCIENCE BV
Accession number :
edsair.doi.dedup.....198e919f39fe5d4caff8d57bf18a5ae4
Full Text :
https://doi.org/10.1016/j.jad.2015.10.040