Exposure to and experiences of violence among adolescents in lower socio-economic groups in Johannesburg, South Africa

BMC Public Health. 2015 May 1:15:450. doi: 10.1186/s12889-015-1780-8.

Abstract

Background: We explored exposure to and experiences of violence and their risk factors amongst ethnically diverse adolescents from lower socio economic groups in Johannesburg.

Methods: This cross-sectional study recruited a stratified sample of 16-18 year old adolescents from four low socio-economic suburbs in Johannesburg to reflect ethnic group clustering. We collected socio-demographic, sexual behaviour, alcohol and drug use and trauma events data. Proportions and risk factors were assessed by chi-square and logistic regression.

Results: Of 822 adolescents, 57% (n = 469) were female. Approximately 62% (n = 506) were Black, 13% (n = 107) Coloured, 13% (n = 106) Indian and 13% (n = 103) White. Approximately 67% (n = 552) witnessed violence to a non-family member, 28% (n = 228) experienced violence by a non-family member, and 10% (n = 83) reported sexual abuse. Multivariate analysis determined that witnessing violence in the community was associated with being Black (OR: 4.6, 95%CI: 2.7-7.9), Coloured (OR: 3.9, 95%CI: 2.0-7.4) or White (OR: 8.0, 95%CI:4.0-16.2), repeating a grade (OR: 1.5, 95%CI: 1.01-2.1), having more than one sexual partner (OR: 1.7, 95%CI: 1.1-2.5) and ever taking alcohol (OR: 2.1, 95%CI: 1.5-2.9). Witnessing violence in the family was associated with being female (OR: 1.8, 95%CI: 1.3-2.6), being Black (OR: 2.2, 95%CI: 1.1-4.1), or White (OR: 3.0, 95%CI: 1.4-6.4), repeating a grade (OR: 1.6, 95%CI: 1.1-2.2) and ever taking alcohol (OR: 2.9, 95%CI: 2.0-4.3).

Conclusions: In low socio-economic areas in Johannesburg, Black, White and Coloured adolescents experience a high burden of violence. Interventions to mitigate the effects of violence are urgently required.

MeSH terms

  • Adolescent
  • Adolescent Behavior / psychology*
  • Cross-Sectional Studies
  • Female
  • Humans
  • Male
  • Poverty / psychology*
  • Poverty / statistics & numerical data*
  • Risk Factors
  • Sex Offenses / psychology
  • Sex Offenses / statistics & numerical data
  • Sexual Behavior / ethnology
  • Sexual Partners
  • Socioeconomic Factors
  • South Africa / epidemiology
  • Substance-Related Disorders / epidemiology
  • Violence / psychology*
  • Violence / statistics & numerical data*