Literature DB >> 20673552

Identifying depressive subtypes in a large cohort study: results from the Netherlands Study of Depression and Anxiety (NESDA).

Femke Lamers1, Peter de Jonge, Willem A Nolen, Johannes H Smit, Frans G Zitman, Aartjan T F Beekman, Brenda W J H Penninx.   

Abstract

OBJECTIVE: The heterogeneity of depression in the current classification system remains a point of discussion in the psychiatric field, despite previous efforts to subclassify depressive disorders. Data-driven techniques may help to come to a more empirically based classification. This study aimed to identify depressive subtypes within a large cohort of subjects with depression.
METHOD: Baseline data from 818 persons with a DSM-IV diagnosis of current major depressive disorder or minor depression who participated in the Netherlands Study of Depression and Anxiety were used. Respondents were recruited in the community, in primary care, and in specialized mental health care from September 2004 through February 2007. Latent classes were derived from latent class analysis using 16 depressive symptoms from the Composite International Diagnostic Interview and the Inventory of Depressive Symptomatology. Classes were characterized using demographic, clinical psychiatric, psychosocial, and physical health descriptors.
RESULTS: Three classes were identified: a severe melancholic class (prevalence, 46.3%), a severe atypical class (prevalence, 24.6%), and a class of moderate severity (prevalence, 29.1%). Both severe classes were characterized by more neuroticism (melancholic OR = 1.05 [95% CI, 1.01-1.10]; atypical OR = 1.07 [95% CI, 1.03-1.12]), more disability (melancholic OR = 1.07 [95% CI, 1.05-1.09]; atypical OR = 1.06 [95% CI, 1.04-1.07]), and less extraversion (melancholic OR = 0.95 [95% CI, 0.92-0.99]; atypical OR = 0.95 [95% CI, 0.92-0.99]) than the moderate class. Comparing the melancholic class with the atypical class revealed that the melancholic class had more smokers (atypical OR = 0.57 [95% CI, 0.39-0.84]) and more childhood trauma (atypical OR = 0.86 [95% CI, 0.74-1.00]), whereas the atypical class had more women (atypical OR = 1.52 [95% CI, 0.99-2.32]), a higher body mass index (atypical OR = 1.13 [95% CI, 1.09-1.17]), and more metabolic syndrome (atypical OR = 2.17 [95% CI, 1.38-3.42]).
CONCLUSIONS: Both depression severity (moderate vs severe) and the nature of depressive symptoms (melancholic vs atypical) were found to be important differentiators between subtypes. Higher endorsement rates of somatic symptoms and more metabolic syndrome in the atypical class suggest the involvement of a metabolic component. © Copyright 2010 Physicians Postgraduate Press, Inc.

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Year:  2010        PMID: 20673552     DOI: 10.4088/JCP.09m05398blu

Source DB:  PubMed          Journal:  J Clin Psychiatry        ISSN: 0160-6689            Impact factor:   4.384


  69 in total

1.  Depression and risk of type 2 diabetes: the potential role of metabolic factors.

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2.  Problems with latent class analysis to detect data-driven subtypes of depression.

Authors:  H M van Loo; R B K Wanders; K J Wardenaar; E I Fried
Journal:  Mol Psychiatry       Date:  2016-11-08       Impact factor: 15.992

3.  Reward dysfunction in major depression: multimodal neuroimaging evidence for refining the melancholic phenotype.

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4.  Taking Personalized Medicine Seriously: Biomarker Approaches in Phase IIb/III Studies in Major Depression and Schizophrenia.

Authors:  Harald Murck; Thomas Laughren; Femke Lamers; Rosalind Picard; Sebastian Walther; Donald Goff; Stephen Sainati
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5.  Latent subtypes of depression in a community sample of older adults: can depression clusters predict future depression trajectories?

Authors:  Celia F Hybels; Lawrence R Landerman; Dan G Blazer
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Review 6.  Role of Adiposity-Driven Inflammation in Depressive Morbidity.

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7.  Subtypes of major depression: latent class analysis in depressed Han Chinese women.

Authors:  Y Li; S Aggen; S Shi; J Gao; Y Li; M Tao; K Zhang; X Wang; C Gao; L Yang; Y Liu; K Li; J Shi; G Wang; L Liu; J Zhang; B Du; G Jiang; J Shen; Z Zhang; W Liang; J Sun; J Hu; T Liu; X Wang; G Miao; H Meng; Y Li; C Hu; Y Li; G Huang; G Li; B Ha; H Deng; Q Mei; H Zhong; S Gao; H Sang; Y Zhang; X Fang; F Yu; D Yang; T Liu; Y Chen; X Hong; W Wu; G Chen; M Cai; Y Song; J Pan; J Dong; R Pan; W Zhang; Z Shen; Z Liu; D Gu; X Wang; X Liu; Q Zhang; J Flint; K S Kendler
Journal:  Psychol Med       Date:  2014-04-09       Impact factor: 7.723

8.  Changes in Depression Subtypes Among Men in STAR*D: A Latent Transition Analysis.

Authors:  Christine M Ulbricht; Levent Dumenci; Anthony J Rothschild; Kate L Lapane
Journal:  Am J Mens Health       Date:  2015-10-05

9.  The role of sex on stability and change of depression symptom subtypes over 20 years: a latent transition analysis.

Authors:  Stephanie Rodgers; Vladeta Ajdacic-Gross; Mario Müller; Michael P Hengartner; Martin Grosse Holtforth; Jules Angst; Wulf Rössler
Journal:  Eur Arch Psychiatry Clin Neurosci       Date:  2013-11-30       Impact factor: 5.270

10.  Association between major depression and cardiovascular risk: the role of antidepressant medication.

Authors:  Linn K Kuehl; Christoph Muhtz; Kim Hinkelmann; Lucia Dettenborn; Katja Wingenfeld; Carsten Spitzer; Christian Otte
Journal:  Psychopharmacology (Berl)       Date:  2016-07-27       Impact factor: 4.530

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