UCL Discovery
UCL home » Library Services » Electronic resources » UCL Discovery

Patterns and predictors of violence against children in Uganda: a latent class analysis

Clarke, K; Patalay, P; Allen, E; Knight, L; Naker, D; Devries, K; (2016) Patterns and predictors of violence against children in Uganda: a latent class analysis. BMJ Open , 6 (5) , Article e010443. 10.1136/bmjopen-2015-010443. Green open access

[img]
Preview
Text
Clarke et al Patterns and predictors of violence against children in Uganda VoR.pdf

Download (826kB) | Preview

Abstract

OBJECTIVE: To explore patterns of physical, emotional and sexual violence against Ugandan children. DESIGN: Latent class and multinomial logistic regression analysis of cross-sectional data. SETTING: Luwero District, Uganda. PARTICIPANTS: In all, 3706 primary 5, 6 and 7 students attending 42 primary schools. MAIN OUTCOME AND MEASURE: To measure violence, we used the International Society for the Prevention of Child Abuse and Neglect Child Abuse Screening Tool-Child Institutional. We used the Strengths and Difficulties Questionnaire to assess mental health and administered reading, spelling and maths tests. RESULTS: We identified three violence classes. Class 1 (N=696 18.8%) was characterised by emotional and physical violence by parents and relatives, and sexual and emotional abuse by boyfriends, girlfriends and unrelated adults outside school. Class 2 (N=975 26.3%) was characterised by physical, emotional and sexual violence by peers (male and female students). Children in Classes 1 and 2 also had a high probability of exposure to emotional and physical violence by school staff. Class 3 (N=2035 54.9%) was characterised by physical violence by school staff and a lower probability of all other forms of violence compared to Classes 1 and 2. Children in Classes 1 and 2 were more likely to have worked for money (Class 1 Relative Risk Ratio 1.97, 95% CI 1.54 to 2.51; Class 2 1.55, 1.29 to 1.86), been absent from school in the previous week (Class 1 1.31, 1.02 to 1.67; Class 2 1.34, 1.10 to 1.63) and to have more mental health difficulties (Class 1 1.09, 1.07 to 1.11; Class 2 1.11, 1.09 to 1.13) compared to children in Class 3. Female sex (3.44, 2.48 to 4.78) and number of children sharing a sleeping area predicted being in Class 1. CONCLUSIONS: Childhood violence in Uganda forms distinct patterns, clustered by perpetrator and setting. Research is needed to understand experiences of victimised children, and to develop mental health interventions for those with severe violence exposures. TRIAL REGISTRATION NUMBER: NCT01678846; Results.

Type: Article
Title: Patterns and predictors of violence against children in Uganda: a latent class analysis
Location: England
Open access status: An open access version is available from UCL Discovery
DOI: 10.1136/bmjopen-2015-010443
Publisher version: http://dx.doi.org/10.1136/bmjopen-2015-010443
Language: English
Additional information: This is an Open Access article distributed in accordance with the terms of the Creative Commons Attribution (CC BY 4.0) license, which permits others to distribute, remix, adapt and build upon this work, for commercial use, provided the original work is properly cited. See: http://creativecommons.org/licenses/by/4.0/
UCL classification: UCL
UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Cardiovascular Science
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Cardiovascular Science > Population Science and Experimental Medicine
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Cardiovascular Science > MRC Unit for Lifelong Hlth and Ageing
URI: https://discovery.ucl.ac.uk/id/eprint/1496336
Downloads since deposit
84Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item