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A three-factor model of the MADRS in major depressive disorder
- Source :
- Depression and anxiety. 21(2)
- Publication Year :
- 2005
-
Abstract
- Major Depressive Disorder (MDD) may be composed of some symptom clusters with distinct neurochemical disturbances, suggesting the importance of the factor analysis of depressive symptoms; however, the results of previous studies using the Montgomery-Asberg Depression Rating Scale (MADRS) have been inconsistent. In the present study, factor analysis of the MADRS was performed in 132 Japanese patients (range 23–74 years, mean 47.6 years) with MDD without any psychiatric comorbidity. The principal component analysis with Varimax rotation identified three factors, accounting for 61% of the total variance: The first factor, labeled dysphoria, included pessimistic thoughts, suicidal thoughts, and reported sadness; the second factor, labeled retardation, included lassitude, inability to feel, apparent sadness, and concentration difficulties; and the third factor, labeled vegetative symptoms, included reduced sleep, reduced appetite, and inner tension. The score of the vegetative factor showed a significant positive correlation with age and was significantly higher in females than in males. This study suggests that the symptoms of MDD, as assessed by the MADRS, cluster into three factors (dysphoria, retardation, and vegetative symptoms). Depression and Anxiety 21:95–97, 2005. © 2005 Wiley-Liss, Inc.
- Subjects :
- Adult
Male
medicine.medical_specialty
Varimax rotation
media_common.quotation_subject
behavioral disciplines and activities
Dysphoria
Severity of Illness Index
Rating scale
Surveys and Questionnaires
Severity of illness
medicine
Humans
Psychiatry
Depression (differential diagnoses)
media_common
Aged
Depressive Disorder, Major
Reproducibility of Results
Middle Aged
medicine.disease
Sadness
Diagnostic and Statistical Manual of Mental Disorders
Psychiatry and Mental health
Clinical Psychology
Major depressive disorder
Anxiety
Female
medicine.symptom
Psychology
Factor Analysis, Statistical
Subjects
Details
- ISSN :
- 10914269
- Volume :
- 21
- Issue :
- 2
- Database :
- OpenAIRE
- Journal :
- Depression and anxiety
- Accession number :
- edsair.doi.dedup.....c0b4b5a87ec8df5bc98d3b9795ad42b9