1
|
Maposa I, Twabi HS, Matsena-Zingoni Z, Batidzirai JM, Singini G, Mohammed M, Bere A, Kgarosi K, Mchunu N, Nevhungoni P, Moyo-Chilufya M, Ojifinni O, Musekiwa A. Bayesian spatial modelling of intimate partner violence and associated factors among adult women and men: evidence from 2019/2020 Rwanda Demographic and Health Survey. BMC Public Health 2023; 23:2061. [PMID: 37864202 PMCID: PMC10589974 DOI: 10.1186/s12889-023-16988-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2022] [Accepted: 10/13/2023] [Indexed: 10/22/2023] Open
Abstract
BACKGROUND Intimate 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. METHODS This 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. RESULTS IPV 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. CONCLUSION Campaigns 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.
Collapse
Affiliation(s)
- Innocent Maposa
- Division of Epidemiology & Biostatistics, School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
- Division of Epidemiology & Biostatistics, Department of Global Health, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
| | - Halima S Twabi
- Department of Mathematical Sciences, School of Natural and Applied Sciences, University of Malawi, Zomba, Malawi.
| | - Zvifadzo Matsena-Zingoni
- Division of Epidemiology & Biostatistics, School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
- Center for Biomedical Modelling, Department of Psychiatry and Biobehavioural Sciences, David Geffen School of Medicine, University of California, Los Angeles, CA, USA
| | - Jesca M Batidzirai
- School of Mathematics, Statistics, and Computer Science, University of KwaZulu-Natal, Pietermaritzburg, South Africa
| | - Geoffrey Singini
- Department of Mathematical Sciences, School of Natural and Applied Sciences, University of Malawi, Zomba, Malawi
| | - Mohanad Mohammed
- School of Mathematics, Statistics, and Computer Science, University of KwaZulu-Natal, Pietermaritzburg, South Africa
| | - Alphonce Bere
- Department of Mathematical and Computational Sciences, University of Venda, Thohoyandou, South Africa
| | - Kabelo Kgarosi
- School of Health Systems and Public Health, Faculty of Health Sciences, University of Pretoria, Pretoria, South Africa
| | - Nobuhle Mchunu
- Biostatistics Research Unit, South African Medical Research Council, Durban, South Africa
- Centre for the AIDS Programme of Research in South Africa (CAPRISA), Statistics, Durban, South Africa
- Biostatistics Research Unit, South African Medical Research Council, Pretoria, South Africa
| | - Portia Nevhungoni
- School of Mathematics, Statistics, and Computer Science, University of KwaZulu-Natal, Pietermaritzburg, South Africa
- Biostatistics Research Unit, South African Medical Research Council, Pretoria, South Africa
| | - Maureen Moyo-Chilufya
- School of Health Systems and Public Health, Faculty of Health Sciences, University of Pretoria, Pretoria, South Africa
| | - Oludoyinmola Ojifinni
- School of Clinical Medicine, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Alfred Musekiwa
- School of Health Systems and Public Health, Faculty of Health Sciences, University of Pretoria, Pretoria, South Africa
| |
Collapse
|
2
|
Bahati C, Izabayo J, Munezero P, Niyonsenga J, Mutesa L. Trends and correlates of intimate partner violence (IPV) victimization in Rwanda: results from the 2015 and 2020 Rwanda Demographic Health Survey (RDHS 2015 and 2020). BMC Womens Health 2022; 22:368. [PMID: 36068627 PMCID: PMC9447352 DOI: 10.1186/s12905-022-01951-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2022] [Accepted: 08/26/2022] [Indexed: 11/29/2022] Open
Abstract
Background Intimate partner violence (IPV) is reported to be a public health issue given its magnitude and long-lasting consequences. Men are generally thought to be perpetrators of IPV, but they can also be victims. In Rwanda, the experience of men as victims has not yet been described and characterized. The aim of this study is to examine the trends and correlates of IPV victimization for men and women in Rwanda. Methods The data for this study were extracted from the Rwanda Demographic and Health Survey (RDHS) in 2014/15 (female: n = 8292, male: n = 3470) and 2019/2020 (female = 8574, male: n = 3590). The survey had used a structured measure of IPV (i.e. physical, sexual, or emotional) and its related demographic characteristics to collect data in a nationally representative sample of ever-married women aged 15–49 years and men aged 15–59 years. Multiple logistic regression was applied to examine the association between demographic characteristics and IPV in both women and men. Result The prevalence of IPV among women increased from 40% in 2015 to 46% in 2020, while it decreased from 21 to 18% in men during the same time period. The associated factors for women IPV victimization in 2015 were: uneducated husband (Adjusted Odds Ratios (AOR) = 5.570, 95% CI 1.29–24.02), woman from the poorest household (AOR = 2.834, 95% CI 1.9–93.12), husband aged from 30 to 39 years (AOR = 2.797, 95% CI 1.517–5.158), husband consuming alcohol (AOR = 3.021, 95% CI 1.517–5.158); women involved in decisions about their own earnings (AOR = 0.576, 95% CI 0.37–0.88); and purchases (AOR = 0.472, 95% CI 0.27–0.82). However, the factors such as uneducated husbands (AOR = 3.032, 95% CI 1.117–8.24); husbands consuming alcohol (AOR = 1.712, 95% CI 2.408–4.486); a woman's involvement in decisions on her personal health (AOR = 0.443, 95% CI 0.30–0.63) and visits from her family or relatives (AOR = 0.405, 95% = 0.41–0.22) were factors of IPV in 2020. On the other hand, the associated factors for men IPV victimization in 2015 were being from richer wealth index (AOR = 0.21, 95% CI 0.04–1.04), frequency of being hit in last 12 months by other than partner (AOR = 5.49, 95% CI 1.65–18.25), woman often consuming alcohol (AOR = 13.30, 95% CI 1.9–93.12); whereas its associated factor in 2020 were women consuming alcohol (3.91, 95% CI 0.55–9.87). Conclusion The present study revealed a significant increase in IPV against women, and slight decrease of IPV against men in Rwanda from 2015 to 2020, as well as its associated risks and protective factors over time. This increase needs further exploration given that government and partners have invested in policies and strategies to mitigate the IPV with limited impact. Since there is a relationship between IPV prevalence and education, the existing laws on domestic violence need to be known by the citizens. Findings from this study evidenced also visits from extended families to be a protective factor and therefore suggesting the necessity of a family and community-based approach in managing IPV in Rwanda. Future studies to assess the effectiveness of community-based approach in preventing IPV.
Collapse
|