Abusive experiences and psychiatric morbidity in women primary care attenders

Br J Psychiatry. 2003 Oct:183:332-9; discussion 340-1. doi: 10.1192/bjp.183.4.332.

Abstract

Background: Abusive experiences in childhood and adulthood increase risks of psychiatric morbidity in women and independently increase risks of further abuse over the lifetime. It is unclear which experiences are most damaging.

Aims: To measure lifetime prevalence of abusive experiences and psychiatric morbidity, and to analyse associations in women primary care attenders.

Method: A cross-sectional, self-report survey of 1207 women attending 13 surgeries in the London borough of Hackney, UK. Independent associations between demographic measures, abusive experiences and psychiatric outcome were established using logistic regression.

Results: Childhood sexual abuse had few associations with adult mental health measures, in contrast to physical abuse. Sexual assault in adulthood was associated with substance misuse; rape with anxiety, depression and post-traumatic stress disorder but not substance misuse. Domestic violence showed strongest associations with most mental health measures, increased for experiences in the past year.

Conclusions: Abuse in childhood and adulthood have differential effects on mental health; effects are increased by recency and severity. Women should be routinely questioned about ongoing and recent experiences as well as childhood.

Publication types

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

MeSH terms

  • Adolescent
  • Adult
  • Aged
  • Aged, 80 and over
  • Battered Women / psychology*
  • Battered Women / statistics & numerical data
  • Child Abuse / psychology
  • Child Abuse / statistics & numerical data
  • Cross-Sectional Studies
  • Domestic Violence / statistics & numerical data
  • Female
  • Health Status
  • Humans
  • Logistic Models
  • London / epidemiology
  • Mental Disorders / epidemiology*
  • Mental Disorders / etiology
  • Mental Health
  • Middle Aged
  • Prevalence
  • Regression Analysis
  • Sexual Harassment / statistics & numerical data