title: Population prevalence of depression and mean Beck Depression Inventory score.
abstract: BACKGROUND
  For some phenomena the mean of population distributions predicts the proportion of people exceeding a threshold value.
  
  
  OBJECTIVE
  To investigate whether in depression, too, the population mean predicts the number of individuals at the extreme end of the distribution.
  
  
  METHODS
  We used data from the European Outcome in Depression International Network (ODIN) study from populations in Finland, Norway and the UK to create models that predicted the prevalence of depression based on the mean Beck Depression Inventory (BDI) score. The models were tested on data from Ireland and Spain.
  
  
  RESULTS
  Mean BDI score correlated well with the prevalence of depression determined by clinical interviews. A model based on the beta distribution best fitted the BDI distribution. Both models predicted the depression prevalence in Ireland and Spain fairly well.
  
  
  CONCLUSIONS
  The mean of a continuous population distribution of mood predicts the prevalence of depression. Characteristics of both individuals and populations determine depression rates.
authors: The University of Queensland, School of Population Health, Herston Road, Herston Qld 4006, Australia. l.veerman@uq.edu.au
authors: J L
authors: JL
authors: Veerman
authors: C
authors: C
authors: Dowrick
authors: J L
authors: JL
authors: Ayuso-Mateos
authors: G
authors: G
authors: Dunn
authors: J J
authors: JJ
authors: Barendregt
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D003431:Cross-Cultural Comparison; D003866:Depressive Disorder / Q000175:diagnosis / Q000453:epidemiology*; D005060:Europe / Q000453:epidemiology; D005260:Female; D006306:Health Surveys; D006801:Humans; D008297:Male; D008875:Middle Aged; D015995:Prevalence; D011569:Psychiatric Status Rating Scales / Q000706:statistics & numerical data*; D012423:Rural Health; D014504:Urban Health; D055815:Young Adult