布隆迪亲密伴侣暴力侵害妇女的发生率和决定因素:来自2016-17年人口与健康调查的证据

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摘要

背景:亲密伴侣暴力侵害妇女(IPVAW)是一个全球性的人权和公共卫生问题,并与母亲、家庭和社区的负面后果有关。该研究旨在确定布隆迪已婚妇女中亲密伴侣暴力的流行程度和决定因素,为减少家庭暴力的战略和方案提供信息。方法:本研究包括2016-17布隆迪人口与健康调查的二次分析。研究人群包括6014名已婚妇女,使用家庭暴力问卷进行访谈。研究采用卡方检验和二元logistic回归来确定影响布隆迪IPVAW的因素,统计显著性为95%。结果:研究确定IPVAW的总体患病率为48.4%,而身体暴力为37.0%,性暴力为24.4%,情感暴力为22.9%。亲密伴侣暴力因妇女的背景特征而异。多变量分析确定了妇女的年龄、居住省份、已出生子女的数量、夫妇对子女数量的期望不一致、童年经历过父母暴力、丈夫的控制行为、丈夫饮酒和丈夫的年龄是IPVAW的危险因素。结论:布隆迪的IPVAW较高。社会、经济和文化因素是高患病率的一些预测因素。这些因素应构成设计旨在减少IPVAW的方案和政策的基础。
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Prevalence and Determinants of Intimate Partner Violence Against Women in Burundi: Evidence from 2016-17 Demographic and Health Survey
Background: Intimate Partner Violence against Women (IPVAW) is a human rights and public health problem worldwide and is associated with negative consequences for the mother, family, and community. The study aims to determine the prevalence and determinants of intimate partner violence among married women in Burundi, to inform strategies and programs to reduce domestic violence. Methods: This study consists of the secondary analysis of the 2016-17 Burundi Demographic and Health Survey. The study population consisted of 6014 married women, interviewed using the domestic violence questionnaire. The research applied Chi-square tests and binary logistic regression to identify the factors influencing IPVAW in Burundi, at a 95% statistical significance. Results: The study established the overall prevalence of IPVAW at 48.4%, whereas physical violence was 37.0%, sexual violence 24.4% and emotional violence 22.9%. Intimate partner violence varies by background characteristics of the women. The multivariate analysis identified as risk factors to IPVAW the age of the woman, the province of residence, the number of children ever born, the discordance within the couple on the number of children desired, the childhood experience of parental violence, the husband's controlling behaviour, the husband drinking alcohol and husband's age. Conclusion: IPVAW is high in Burundi. Social, economic and cultural factors are some of the predictors of the high prevalence. These factors should constitute the basis for designing programmes and policies aimed at reducing IPVAW.
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