Sociodemographic and Incident Variables as Predictors of Victim Injury From Intimate Partner Violence: Findings From Police Reports

Violence Against Women. 2018 Oct;24(12):1413-1432. doi: 10.1177/1077801217733558. Epub 2017 Nov 13.

Abstract

Predictors of victim injury from intimate partner violence (IPV) were investigated using 1,292 police reports collected in South Carolina in 2009/2010. All cases were opposite sex adults. Results from bivariate statistics showed that IPV cases with ( n = 649) and without visible injuries ( n = 643) differed on victim gender, victim race, type of relationship, and perpetrator's alcohol use. Results from a logistic regression analysis predicting victim injury showed higher odds ratios for males, Whites, and couples identified as cohabitants. Although most victims, including most injured victims, were Black women, males and Whites were overrepresented in the injured group.

Keywords: gender; intimate partner violence; physical violence.

Publication types

  • Research Support, U.S. Gov't, Non-P.H.S.

MeSH terms

  • Adolescent
  • Adult
  • Age Distribution
  • Aged
  • Black or African American / statistics & numerical data
  • Chi-Square Distribution
  • Crime Victims / statistics & numerical data*
  • Female
  • Humans
  • Intimate Partner Violence / ethnology
  • Intimate Partner Violence / statistics & numerical data*
  • Male
  • Middle Aged
  • Odds Ratio
  • Regression Analysis
  • Sex Distribution
  • South Carolina / epidemiology
  • White People / statistics & numerical data
  • Wounds and Injuries / classification
  • Wounds and Injuries / epidemiology*
  • Wounds and Injuries / ethnology
  • Young Adult