Burden of psychiatric disorder in young adulthood and life outcomes at age 30

Br J Psychiatry. 2010 Aug;197(2):122-7. doi: 10.1192/bjp.bp.109.076570.

Abstract

Background: Psychiatric disorders are common during young adulthood and comorbidity is frequent. Individual psychiatric disorders have been shown to be associated with negative economic and educational outcomes, but few studies have addressed the relationship between the total extent of psychiatric disorder and life outcomes.

Aims: To examine whether the extent of common psychiatric disorder between ages 18 and 25 is associated with negative economic and educational outcomes at age 30, before and after controlling for confounding factors.

Method: Participants were 987 individuals from the Christchurch Health and Development Study, a longitudinal study of a birth cohort of individuals born in Christchurch, New Zealand, in 1977 and followed to age 30. Linear and logistic regression models were used to examine the associations between psychiatric disorder from age 18 to 25 and workforce participation, income and living standards, and educational achievement at age 30, before and after adjustment for confounding factors.

Results: There were significant associations between the extent of psychiatric disorder reported between ages 18 and 25 and all of the outcome measures (all P<0.05). After adjustment for confounding factors, the associations between psychiatric disorder and workforce participation, income and living standards remained significant (all P<0.05), but the associations between psychiatric disorder and educational achievement were not significant (all P>0.10).

Conclusions: After due allowance had been made for a range of confounding factors, psychiatric disorder between ages 18 and 25 was associated with reduced workforce participation, lower income and lower economic living standards at age 30.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adolescent
  • Adult
  • Age Factors
  • Child
  • Child, Preschool
  • Confounding Factors, Epidemiologic
  • Cost of Illness*
  • Educational Status
  • Employment / statistics & numerical data
  • Epidemiologic Methods
  • Family Characteristics
  • Female
  • Humans
  • Income / statistics & numerical data
  • Infant
  • Mental Disorders / epidemiology*
  • Mental Disorders / psychology
  • Psychiatric Status Rating Scales
  • Recurrence
  • Young Adult