期刊论文详细信息
PSYCHIATRY RESEARCH 卷:190
One-year severity of depressive symptoms: Results from the NESDA study
Article
Lamers, Femke1,2  Beekman, Aartjan T. F.1,2  de Jonge, Peter3,4,5  Smit, Johannes H.1,2  Nolen, Willem A.3  Penninx, Brenda W. J. H.1,2,3,6 
[1] VU Univ Med Ctr Amsterdam, Dept Psychiat, NL-1081 HL Amsterdam, Netherlands
[2] VU Univ Med Ctr Amsterdam, EMGO Inst Hlth & Care Res, NL-1081 HL Amsterdam, Netherlands
[3] Univ Groningen, Univ Med Ctr Groningen, Dept Psychiat, NL-9700 RB Groningen, Netherlands
[4] Univ Groningen, Univ Med Ctr Groningen, Dept Internal Med, NL-9700 RB Groningen, Netherlands
[5] Tilburg Univ, Dept Med Psychol, Ctr Res Psychol & Somat Dis, Tilburg, Netherlands
[6] Leiden Univ, Med Ctr, Dept Psychiat, NL-2300 RA Leiden, Netherlands
关键词: Psychiatric epidemiology;    Longitudinal cohort;    Depressive disorder;    Risk factors;    Clinical characteristics;   
DOI  :  10.1016/j.psychres.2011.07.005
来源: Elsevier
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【 摘 要 】

The aim of this study was to simultaneously examine a wide range of risk factors and clinical characteristics in their predictive value for the 1-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 1-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 1-year severity of depressive symptoms. The findings indicate 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. (C) 2011 Elsevier Ireland Ltd. All rights reserved.

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