A person-centred approach to modelling population experiences of trauma and mental illness

Soc Psychiatry Psychiatr Epidemiol. 2011 Feb;46(2):149-57. doi: 10.1007/s00127-009-0176-4. Epub 2010 Jan 27.

Abstract

Background: Exposure to traumatic events has been implicated in the onset and development of a range of psychiatric disorders. People can be exposed to multiple traumatic events and previous research suggests that traumatic experiences may cluster at the individual level.

Methods: This study aimed to examine the distribution of traumatic experiences in a large nationally representative sample using latent class analysis, and estimate the relationship between these classes and a number of demographic and clinical variables. Data from the National Comorbidity Survey was used.

Results: Four latent classes, each representative of a range of traumatic experiences were identified. The classes were labelled 'high risk' (class 1), 'exposure to non-sexual adult interpersonal/non-interpersonal trauma' (class 2), 'intermediate risk/sexual abuse' (class 3), and 'low risk' (class 4). Each of the latent classes was predicted by several of the demographic variables. In addition, membership of classes 1, 2, and 3 increased the risk of each of the clinical variables.

Conclusions: The findings have clinical implications for the assessment of trauma histories across a range of psychiatric diagnoses.

Publication types

  • Comparative Study

MeSH terms

  • Adolescent
  • Adult
  • Adult Survivors of Child Abuse / psychology
  • Age Distribution
  • Baltimore / epidemiology
  • Cluster Analysis
  • Comorbidity
  • Crime Victims / psychology
  • Data Collection
  • Female
  • Humans
  • Life Change Events*
  • Male
  • Mental Disorders / diagnosis*
  • Mental Disorders / epidemiology
  • Mental Disorders / psychology
  • Middle Aged
  • Models, Statistical
  • Prevalence
  • Principal Component Analysis
  • Research Design
  • Risk Factors
  • Stress Disorders, Post-Traumatic / epidemiology
  • Stress Disorders, Post-Traumatic / psychology
  • United States / epidemiology