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The identification of symptom-based subtypes of depression: A nationally representative cohort study
- 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.
- Subjects :
- Male
Comorbidity
Anxiety
UNIPOLAR DEPRESSION
Cohort Studies
0302 clinical medicine
Depressive subtypes
POPULATION
Depression (differential diagnoses)
Netherlands
education.field_of_study
Depression
Depressive symptoms
Middle Aged
Latent class model
Diagnostic and Statistical Manual of Mental Disorders
Psychiatry and Mental health
Clinical Psychology
Major depressive disorder
Female
Symptom Assessment
medicine.symptom
Psychology
Population study
Clinical psychology
Cohort study
Adult
medicine.medical_specialty
ANXIETY NESDA
Population
03 medical and health sciences
MENTAL-HEALTH SURVEY
Latent class analysis
medicine
Humans
education
Psychiatry
INCIDENCE STUDY-2
COMORBIDITY SURVEY
Weight change
MAJOR DEPRESSION
medicine.disease
Mental health
030227 psychiatry
IV PERSONALITY-DISORDERS
FACTOR MIXTURE ANALYSIS
Factor mixture model
030217 neurology & neurosurgery
Subjects
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