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贝叶斯空间模型分析成年女性和男性亲密伴侣暴力及相关因素:来自 2019/2020 年卢旺达人口与健康调查的证据。

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

机构信息

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.

出版信息

BMC Public Health. 2023 Oct 20;23(1):2061. doi: 10.1186/s12889-023-16988-8.

DOI:10.1186/s12889-023-16988-8
PMID:37864202
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10589974/
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.

摘要

背景

亲密伴侣暴力(IPV)仍然是全球男性和女性的公共卫生问题。空间制图和聚类分析可以揭示 IPV 发生的微妙模式,但在卢旺达,尤其是在较小的区域范围内,这种方法尚未得到探索。本研究旨在探讨卢旺达男性和女性中 IPV 的空间分布、模式和相关因素。

方法

这是对 2019/2020 年卢旺达人口与健康调查(RDHS)个人层面数据集的二次数据分析,涉及 1947 名 15-49 岁女性和 1371 名 15-59 岁男性。使用空间结构加性逻辑回归模型来评估 IPV 的风险因素,同时调整空间效应。区级空间模型调整了固定协变量效应,并在广义加性混合效应框架内使用完全贝叶斯推断来实现。

结果

女性中 IPV 的流行率为 45.9%(95%置信区间(CI):43.4-48.5%),而男性中 IPV 的流行率为 18.4%(95% CI:16.2-20.9%)。使用双变量专题图显示,卢旺达西北部地区针对女性的 IPV 更为普遍,而针对男性的 IPV 则更为普遍。一些地区针对男女的 IPV 都很高。空间结构加性逻辑回归模型显示,针对女性的 IPV 主要在西北部地区的几率更高,空间效应主要由空间结构效应主导,占 64%。卢旺达南部地区的男性中,IPV 的几率更高,空间效应主要由地区异质性主导,占 62%。在男性或女性中,没有统计学意义上的 IPV 地区聚类。与饮酒的伴侣和控制伴侣的女性发生 IPV 的几率显著更高,而与富裕家庭的伴侣一起做出财务决策的女性发生 IPV 的几率较低。

结论

应该加强针对 IPV 的运动,特别是在卢旺达的西北部和南部地区。此外,促进女童教育和增强妇女权能可以潜在地减少针对妇女和女孩的 IPV。此外,应该对夫妻进行共同做出财务决策的培训。总之,应该推出政策和干预措施,劝阻饮酒和控制行为,特别是针对男性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b9e8/10589974/eba8b7801190/12889_2023_16988_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b9e8/10589974/1a475c8315f5/12889_2023_16988_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b9e8/10589974/eba8b7801190/12889_2023_16988_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b9e8/10589974/1a475c8315f5/12889_2023_16988_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b9e8/10589974/eba8b7801190/12889_2023_16988_Fig2_HTML.jpg

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