Familiality of depression in the community; associations with gender and phenotype of major depressive disorder

Soc Psychiatry Psychiatr Epidemiol. 2009 Dec;44(12):1067-74. doi: 10.1007/s00127-009-0026-4. Epub 2009 Mar 25.

Abstract

Introduction: Although associations between family history and depression have been shown in clinical patients, it is unknown if they also apply to subjects living in the community. The present study considers the relationship between family loading and depression phenotype characteristics in a large community-based sample.

Method: In a Dutch representative population sample of 7,076 individuals, lifetime diagnosis of depression was classified according to severity, course and age of onset. A family loading score of depression (FLSD) was computed by taking the proportion of the first-degree relatives for whom a history of depression was reported.

Results: There was a strong association between FLSD and lifetime diagnosis of MDD. Severity, recurrence and early onset of depression were the specific phenotypic characteristics associated with familiality. The effects of FLSD and gender were independent.

Conclusion: Associations between family history and risk for depression in the community confirm those reported from clinical-based studies using direct interviewing of relatives. A stronger degree of familiality is associated with specific phenotypic characteristics of depression.

Publication types

  • Comparative Study
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Age of Onset
  • Data Collection / statistics & numerical data
  • Depressive Disorder, Major / diagnosis
  • Depressive Disorder, Major / epidemiology
  • Depressive Disorder, Major / genetics*
  • Diagnostic and Statistical Manual of Mental Disorders
  • Educational Status
  • Family / psychology*
  • Female
  • Genetic Predisposition to Disease
  • Humans
  • Male
  • Netherlands / epidemiology
  • Pedigree
  • Phenotype
  • Prevalence
  • Psychiatric Status Rating Scales
  • Risk Factors
  • Severity of Illness Index
  • Sex Factors