Evidence map›Paper›PMID 26293322›Full record

ArticleBMC public health2015

Risk factors for homicide victimization in post-genocide Rwanda: a population -based case- control study.

Wilson Rubanzana, Joseph Ntaganira, Michael D Freeman, Bethany L Hedt-Gauthier

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 18% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.

  1. Pooled it
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 3 institutions in 4 countries.

Wilson RubanzanaDepartment of Epidemiology and Biostatistics, University of Rwanda College of Medicine and Health Sciences, School of Public Health, Kigali, Rwanda. wrubanzana@nursph.org.
Joseph NtaganiraDepartment of Epidemiology and Biostatistics, University of Rwanda College of Medicine and Health Sciences, School of Public Health, Kigali, Rwanda. jntagani@nursph.org.
Michael D FreemanOregon Health & Science University, School of Medicine, Portland, Oregon, USA. forensictrauma@gmail.com.
Bethany L Hedt-GauthierDepartment of Epidemiology and Biostatistics, University of Rwanda College of Medicine and Health Sciences, School of Public Health, Kigali, Rwanda. bethhedt@gmail.com.
University of Rwanda · RWOregon Health & Science University · USRwanda Biomedical Center · RW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHomicide is one of the leading causes of mortality in the World. Homicide risk factors vary significantly between countries and regions. In Rwanda, data on homicide victimization is unreliable because no standardized surveillance system exists. This study was undertaken to identify the risk factors for homicide victimization in Rwanda with particular attention on the latent effects of the 1994 genocide.

methodsA population-based matched case-control study was conducted, with subjects enrolled prospectively from May 2011 to May 2013. Cases of homicide victimization were identified via police reports, and crime details were provided by law enforcement agencies. Three controls were matched to each case by sex, 5-year age group and village of residence. Socioeconomic and personal background data, including genocide exposure, were provided via interview of a family member or through village administrators. Conditional logistic regression, stratified by gender status, was used to identify risk factors for homicide victimization.

resultsDuring the study period, 156 homicide victims were enrolled, of which 57 % were male and 43 % were female. The most common mechanisms of death were wounds inflicted by sharp instruments (knives or machetes; 41 %) followed by blunt force injuries (36.5 %). Final models indicated that risk of homicide victimhood increased with victim alcohol drinking patterns. There was a dose response noted for alcohol use: for minimal drinking versus none, adjusted odds ratio (aOR) = 3.1, 95%CI: 1,3-7.9; for moderate drinking versus none, aOR = 10.1, 95%CI: 3.7-24.9; and for heavy drinking versus none, aOR = 11.5, 95%CI: 3.6-36.8. Additionally, having no surviving parent (aOR = 2.7, 95%CI: 1.1-6.1), previous physical and/or sexual abuse (aOR = 28.1, 95%CI: 5.1-28.3) and drinking illicit brew and/or drug use (aOR = 7.7, 95%CI: 2.4-18.6) were associated with a higher risk of being killed. The test of interaction revealed that the variables that were significantly associated with a higher risk of homicide victimhood, did not exhibit any difference according to sex of the victim. However, the effect of belonging to a religion differed between women and men, but was significantly protective for both (aOR = 0.002, 95%CI: 0.001-0.054 and aOR = 0.20, 95%CI: 0.052-0.509, respectively).

conclusionHomicide victims in Rwanda are relatively young and the proportion of female victims is one of the highest globally. Contrary to the initial study considerations, genocide exposure (either as a survivor or perpetrator) was not a significant predictor of homicide victimization. Rather, risk factors were similar to those described in other countries, regardless of gender status. Sensitizing communities against alcohol heavy drinking, and illicit brew drinking and/or drug abuse and physical or sexual violence could reduce the homicide rate in Rwanda.

Indexed as

AdolescentAdultAgedCase-Control StudiesCrime VictimsFemaleGenocideHomicideHumansInterviews as TopicMaleMiddle AgedPopulation SurveillanceProspective StudiesRisk FactorsRwanda

Identifiers

PMID26293322
PMCPMC4546077
OpenAlexW1921615022

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.