Literature DB >> 18575916

Familiality of major depressive disorder and patterns of lifetime comorbidity. The NEMESIS and GenMood studies. A comparison of three samples.

Maaike Verhagen1, Annemarie van der Meij, Barbara Franke, Wilma A M Vollebergh, Ron de Graaf, Jan K Buitelaar, Joost G E Janzing.   

Abstract

BACKGROUND: Major depressive disorder (MDD) aggregates in families and is associated with high rates of lifetime axis-I comorbidity. This study examined whether familiality of MDD is associated with the presence of specific comorbid disorders, which might be an important factor to be taken into account in MDD treatment and research into MDD etiology.
METHODS: A population sample was divided into subjects with familial (f-MDD; n=432) and nonfamilial MDD (nf-MDD; n=454). Since, more comorbidity was expected in clinical cases, a clinical sample with f-MDD (n=120) was also studied. Subjects were assessed with the Composite International Diagnostic Interview and family history methods. Binary logistic regression analyses were carried out to examine the influence of familiality of MDD on comorbidity. Analyses were adjusted for potential confounders, including MDD characteristics such as severity and age of onset.
RESULTS: Dysthymia, anxiety disorders, and alcohol use disorders were significantly more prevalent in subjects with f-MDD than in subjects with nf-MDD. Clinical f-MDD was associated with more anxiety disorders and fewer alcohol use disorders than population f-MDD. After adjustment for MDD characteristics including age at onset, severity, and disease course, comorbid disorders remained more prevalent in f-MDD than in nf-MDD. LIMITATIONS: The instruments used in the population and the clinical samples were not identical, however, they were comparable to a substantial degree.
CONCLUSIONS: F-MDD, especially in clinical cases, appears to increase the risk of development of comorbid disorders, regardless of MDD characteristics. The link between familiality and comorbidity is important because it will aid a better understanding of the MDD phenotype, and it contributes to planning of effective treatment and to molecular genetic studies.

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Year:  2008        PMID: 18575916     DOI: 10.1007/s00406-008-0824-9

Source DB:  PubMed          Journal:  Eur Arch Psychiatry Clin Neurosci        ISSN: 0940-1334            Impact factor:   5.270


  42 in total

1.  Primary and secondary affective disorders: unipolar patients compared on familial aggregation.

Authors:  W M Grove; N C Andreasen; G Winokur; P J Clayton; J Endicott; W H Coryell
Journal:  Compr Psychiatry       Date:  1987 Mar-Apr       Impact factor: 3.735

2.  The structure of common mental disorders.

Authors:  R F Krueger
Journal:  Arch Gen Psychiatry       Date:  1999-10

3.  Lifetime prevalence and age-of-onset distributions of DSM-IV disorders in the National Comorbidity Survey Replication.

Authors:  Ronald C Kessler; Patricia Berglund; Olga Demler; Robert Jin; Kathleen R Merikangas; Ellen E Walters
Journal:  Arch Gen Psychiatry       Date:  2005-06

4.  Comorbidity of DSM-III-R major depressive disorder in the general population: results from the US National Comorbidity Survey.

Authors:  R C Kessler; C B Nelson; K A McGonagle; J Liu; M Swartz; D G Blazer
Journal:  Br J Psychiatry Suppl       Date:  1996-06

5.  The structure and stability of common mental disorders: the NEMESIS study.

Authors:  W A Vollebergh; J Iedema; R V Bijl; R de Graaf; F Smit; J Ormel
Journal:  Arch Gen Psychiatry       Date:  2001-06

6.  Genetic segregation analysis of early-onset recurrent unipolar depression.

Authors:  M L Marazita; K Neiswanger; M Cooper; G S Zubenko; D E Giles; E Frank; D J Kupfer; B B Kaplan
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7.  Sex and depression in the National Comorbidity Survey. I: Lifetime prevalence, chronicity and recurrence.

Authors:  R C Kessler; K A McGonagle; M Swartz; D G Blazer; C B Nelson
Journal:  J Affect Disord       Date:  1993 Oct-Nov       Impact factor: 4.839

Review 8.  Comorbidity for alcoholism and depression.

Authors:  K R Merikangas; C S Gelernter
Journal:  Psychiatr Clin North Am       Date:  1990-12

9.  Familiality of major depressive disorder and gender differences in comorbidity.

Authors:  M Verhagen; A van der Meij; B Franke; W Vollebergh; R de Graaf; J Buitelaar; J G Janzing
Journal:  Acta Psychiatr Scand       Date:  2008-04-13       Impact factor: 6.392

10.  The epidemiology of major depressive disorder: results from the National Comorbidity Survey Replication (NCS-R).

Authors:  Ronald C Kessler; Patricia Berglund; Olga Demler; Robert Jin; Doreen Koretz; Kathleen R Merikangas; A John Rush; Ellen E Walters; Philip S Wang
Journal:  JAMA       Date:  2003-06-18       Impact factor: 56.272

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  3 in total

1.  Co-morbid anxiety disorders in bipolar disorder and major depression: familial aggregation and clinical characteristics of co-morbid panic disorder, social phobia, specific phobia and obsessive-compulsive disorder.

Authors:  F S Goes; M G McCusker; O J Bienvenu; D F Mackinnon; F M Mondimore; B Schweizer; J R Depaulo; J B Potash
Journal:  Psychol Med       Date:  2011-11-21       Impact factor: 7.723

Review 2.  Imaging phenotypes of major depressive disorder: genetic correlates.

Authors:  J B Savitz; W C Drevets
Journal:  Neuroscience       Date:  2009-04-07       Impact factor: 3.590

3.  Testing the drug substitution switching-addictions hypothesis. A prospective study in a nationally representative sample.

Authors:  Carlos Blanco; Mayumi Okuda; Shuai Wang; Shang-Min Liu; Mark Olfson
Journal:  JAMA Psychiatry       Date:  2014-11       Impact factor: 21.596

  3 in total

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