Mental disorders associated with subpopulations of women affected by violence and abuse

J Trauma Stress. 2013 Aug;26(4):459-66. doi: 10.1002/jts.21821. Epub 2013 Jun 28.

Abstract

Violence against women is a major public health problem associated with mental disorders. Few studies have examined the heterogeneity of interpersonal violence and abuse (IVA) among women and associated mental health problems. Latent class analysis was used to identify subpopulations of women with similar lifetime histories of IVA victimization and to examine 10 associated past-year mental disorders. Participants were 19,816 adult women who participated in Wave 2 of the National Epidemiologic Study on Alcohol and Related Conditions (NESARC). The 3-class model was best supported by the data. Class 1 (6.7%) had a high probability of witnessing domestic violence as a child. Class 2 (21.8%) had a low probability of all events except lifetime sexual assault. Class 3 (71.5%) had a low probability for all events. Mental disorders were more common among members of Classes 1 and 2 than Class 3. For example, members in Class 1 were approximately 8 and 9 times more likely than members in Class 3 to have had posttraumatic stress disorder or a drug use disorder, respectively, during the past year. Of the 10 mental disorders, 5 were more common among members of Class 1 than of Class 2. Findings suggest the mental health consequences of IVA among women are extensive and interventions should be tailored for distinct subpopulations affected by IVA.

Publication types

  • Research Support, N.I.H., Extramural

MeSH terms

  • Adult
  • Aged
  • Battered Women / psychology*
  • Battered Women / statistics & numerical data
  • Child of Impaired Parents / psychology*
  • Child of Impaired Parents / statistics & numerical data
  • Cross-Sectional Studies
  • Domestic Violence / psychology*
  • Domestic Violence / statistics & numerical data
  • Female
  • Health Surveys
  • Humans
  • Mental Disorders / epidemiology*
  • Mental Disorders / psychology
  • Middle Aged
  • Risk Factors
  • Sex Offenses / psychology*
  • Sex Offenses / statistics & numerical data
  • United States / epidemiology
  • Young Adult