Criminal victimization and psychotic experiences: cross-sectional associations in 35 low- and middle-income countries

Acta Psychiatr Scand. 2018 Jul;138(1):44-54. doi: 10.1111/acps.12889. Epub 2018 Apr 22.

Abstract

Objective: Criminal victimization has been associated with elevated risk for psychotic symptoms in the United Kingdom, but has not been studied in low- and middle-income countries (LMICs). Understanding whether crime exposure may play a role in the social etiology of psychosis could help guide prevention and intervention efforts.

Method: We tested the hypothesis that criminal victimization would be associated with elevated odds of psychotic experiences in 35 LMICs (N = 146 999) using cross-sectional data from the World Health Organization World Health Survey. Multivariable logistic regression analyses were used to test for associations between criminal victimization and psychotic experiences.

Results: Victimization was associated with greater odds of psychotic experiences, OR (95% CI) = 1.72 (1.50-1.98), and was significantly more strongly associated with psychotic experiences in non-urban, OR (95% CI) = 1.93 (1.60-2.33), compared to urban settings, OR (95% CI) = 1.48 (1.21-1.81). The association between victimization and psychosis did not change across countries with varying aggregated levels of criminal victimization.

Conclusions: In the largest ever study of victimization and psychosis, the association between criminal victimization and psychosis appears to generalize across a range of LMICs and, therefore, across nations with a broad range of crime rates, degree of urban development, average per capita income, and racial/ethnic make-up.

Keywords: crime; crime victims; epidemiology; psychotic disorders; violence.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adolescent
  • Adult
  • Aged
  • Aged, 80 and over
  • Crime Victims / statistics & numerical data*
  • Cross-Sectional Studies
  • Developing Countries / statistics & numerical data*
  • Female
  • Global Health / statistics & numerical data*
  • Health Surveys
  • Humans
  • Male
  • Middle Aged
  • Psychotic Disorders / epidemiology*
  • Rural Population / statistics & numerical data*
  • Urban Population / statistics & numerical data*
  • World Health Organization
  • Young Adult