Incidence and distribution of first-episode mania by age: results from a 35-year study

Psychol Med. 2005 Jun;35(6):855-63. doi: 10.1017/s0033291704003307.

Abstract

Background: Few epidemiological studies have investigated incidence by age or age at onset distributions for mania or bipolar disorder. The current study aimed to determine these in a defined area in south-east London, over a 35-year period.

Method: All cases of first-episode mania presenting to psychiatric services in Camberwell, south-east London, between 1965 and 1999 were identified. Incidence rates by age, using 5-year age-at-onset bands, were estimated and the structure of the age-at-onset distribution for first-episode mania was investigated using finite mixture distributions (admixture analysis).

Results: The incidence of DSM-IV bipolar I disorder (BP I), first manic episode peaked in early adult life (16.38/100,000 population per year in the 21-25 years band) with a much smaller peak in mid-life. A two-component normal mixture distribution fitted age at onset better than either a single normal distribution or a three-component mixture, implying the existence of early and later onset subgroups. The early onset group had a stronger family history of bipolar disorder, and showed more acute, severe and atypical symptoms during their first manic episode.

Conclusions: The incidence of mania peaks in early adult life but there is clear evidence of early and later onset subgroups which may represent different forms of disorder.

Publication types

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

MeSH terms

  • Adult
  • Age Distribution
  • Age of Onset
  • Bipolar Disorder / diagnosis
  • Bipolar Disorder / epidemiology*
  • Catchment Area, Health
  • Diagnostic and Statistical Manual of Mental Disorders
  • Female
  • Follow-Up Studies
  • Humans
  • Incidence
  • International Classification of Diseases
  • Male
  • Middle Aged
  • Observer Variation
  • Population Surveillance / methods
  • Recurrence
  • Severity of Illness Index
  • Time Factors
  • United Kingdom / epidemiology