Evidence map›Paper›PMID 37864202›Full record

ArticleBMC public health2023

Bayesian spatial modelling of intimate partner violence and associated factors among adult women and men: evidence from 2019/2020 Rwanda Demographic and Health Survey.

Innocent Maposa, Halima S Twabi, Zvifadzo Matsena-Zingoni, Jesca M Batidzirai, Geoffrey Singini, Mohanad Mohammed, Alphonce Bere, Kabelo Kgarosi, Nobuhle Mchunu, Portia Nevhungoni and 3 more

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 19% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.

  1. Pooled it
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  3. Article
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  5. Article
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

13 authors at 7 institutions in 3 countries.

Innocent MaposaDivision of Epidemiology & Biostatistics, School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
Halima S TwabiDepartment of Mathematical Sciences, School of Natural and Applied Sciences, University of Malawi, Zomba, Malawi. htwabi@unima.ac.mw.
Zvifadzo Matsena-ZingoniDivision of Epidemiology & Biostatistics, School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
Jesca M BatidziraiSchool of Mathematics, Statistics, and Computer Science, University of KwaZulu-Natal, Pietermaritzburg, South Africa.
Geoffrey SinginiDepartment of Mathematical Sciences, School of Natural and Applied Sciences, University of Malawi, Zomba, Malawi.
Mohanad MohammedSchool of Mathematics, Statistics, and Computer Science, University of KwaZulu-Natal, Pietermaritzburg, South Africa.
Alphonce BereDepartment of Mathematical and Computational Sciences, University of Venda, Thohoyandou, South Africa.
Kabelo KgarosiSchool of Health Systems and Public Health, Faculty of Health Sciences, University of Pretoria, Pretoria, South Africa.
Nobuhle MchunuBiostatistics Research Unit, South African Medical Research Council, Durban, South Africa.
Portia NevhungoniSchool of Mathematics, Statistics, and Computer Science, University of KwaZulu-Natal, Pietermaritzburg, South Africa.
Maureen Moyo-ChilufyaSchool of Health Systems and Public Health, Faculty of Health Sciences, University of Pretoria, Pretoria, South Africa.
Oludoyinmola OjifinniSchool of Clinical Medicine, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
Alfred MusekiwaSchool of Health Systems and Public Health, Faculty of Health Sciences, University of Pretoria, Pretoria, South Africa.
University of Pretoria · ZASouth African Medical Research Council · ZAUniversity of KwaZulu-Natal · ZAUniversity of Malawi · MWUniversity of the Witwatersrand · ZAStellenbosch University · ZAUniversity of Venda · ZA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIntimate partner violence (IPV) remains a global public health concern for both men and women. Spatial mapping and clustering analysis can reveal subtle patterns in IPV occurrences but are yet to be explored in Rwanda, especially at a lower small-area scale. This study seeks to examine the spatial distribution, patterns, and associated factors of IPV among men and women in Rwanda.

methodsThis was a secondary data analysis of the 2019/2020 Rwanda Demographic and Health Survey (RDHS) individual-level data set for 1947 women aged 15-49 years and 1371 men aged 15-59 years. A spatially structured additive logistic regression model was used to assess risk factors for IPV while adjusting for spatial effects. The district-level spatial model was adjusted for fixed covariate effects and was implemented using a fully Bayesian inference within the generalized additive mixed effects framework.

resultsIPV prevalence amongst women was 45.9% (95% Confidence interval (CI): 43.4-48.5%) while that for men was 18.4% (95% CI: 16.2-20.9%). Using a bivariate choropleth, IPV perpetrated against women was higher in the North-Western districts of Rwanda whereas for men it was shown to be more prevalent in the Southern districts. A few districts presented high IPV for both men and women. The spatial structured additive logistic model revealed higher odds for IPV against women mainly in the North-western districts and the spatial effects were dominated by spatially structured effects contributing 64%. Higher odds of IPV were observed for men in the Southern districts of Rwanda and spatial effects were dominated by district heterogeneity accounting for 62%. There were no statistically significant district clusters for IPV in both men or women. Women with partners who consume alcohol, and with controlling partners were at significantly higher odds of IPV while those in rich households and making financial decisions together with partners were at lower odds of experiencing IPV.

conclusionCampaigns against IPV should be strengthened, especially in the North-Western and Southern parts of Rwanda. In addition, the promotion of girl-child education and empowerment of women can potentially reduce IPV against women and girls. Furthermore, couples should be trained on making financial decisions together. In conclusion, the implementation of policies and interventions that discourage alcohol consumption and control behaviour, especially among men, should be rolled out.

Indexed as

Intimate Partner ViolenceAdultBayes TheoremFamily CharacteristicsFemaleHumansMalePrevalenceRisk FactorsRwandaSexual PartnersBayesianChoroplethFixed effectsGeneralized additive mixed effects modelIntimate partner ViolenceMapping clusterSpatial effects

Identifiers

PMID37864202
PMCPMC10589974
OpenAlexW4387806404

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.