Abstract
The aim of this study was to simultaneously examine a wide range of risk factors and clinical characteristics in their predictive value for the one-year severity of depressive symptoms. Data from 789 participants in the Netherlands Study of Depression and Anxiety (NESDA), a large psychiatric cohort study, with a major depressive disorder (MDD) at baseline were used. Depression severity at one-year follow-up was studied using linear and multinomial logistic regression models. Results of the analyses showed that high neuroticism, no partner and older age were found predictive of a poorer outcome independent of baseline clinical characteristics. Further, comorbid anxiety disorder, first episode, having a moderate subtype (vs. melancholic), and higher baseline depression severity predicted poorer outcome. To conclude, both risk factors and clinical characteristics independently predicted one-year severity of depressive symptoms. This implies that the prediction of prognosis and identification of persons at risk of a poor outcome should not only be based on clinical characteristics, but on risk factors as well
Original language | English |
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Pages (from-to) | 226-231 |
Number of pages | 6 |
Journal | Psychiatry Research |
Volume | 190 |
Issue number | 2-3 |
DOIs | |
Publication status | Published - 30-Dec-2011 |
Keywords
- Psychiatric epidemiology
- Longitudinal cohort
- Depressive disorder
- Risk factors
- Clinical characteristics
- MENTAL-HEALTH SURVEY
- STAR-ASTERISK-D
- STRESSFUL LIFE EVENTS
- PROSPECTIVE FOLLOW-UP
- REPORT QIDS-SR
- MAJOR DEPRESSION
- PSYCHOMETRIC EVALUATION
- DEVELOPMENTAL MODEL
- MULTIPLE IMPUTATION
- GENERAL-POPULATION