Risk factors for violence against women in high-prevalence settings: a mixed-methods systematic review and meta-synthesis.

Risk factors for violence against women in high-prevalence settings: a mixed-methods systematic review and meta-synthesis.
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DOI:
10.1136/bmjgh-2021-007704
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发表时间:
2022-03
期刊:
影响因子:
8.1
通讯作者:
Vyas S
Vyas S
中科院分区:
医学2区
文献类型:
--
作者:
Mannell J;Lowe H;Brown L;Mukerji R;Devakumar D;Gram L;Jansen HAFM;Minckas N;Osrin D;Prost A;Shannon G;Vyas S

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暴力侵害妇女行为影响到全球三分之一的妇女。在一些国家,妇女的风险更高。我们研究了亲密伴侣暴力(IPV)12个月患病率估计值最高的国家中暴力侵害妇女的风险因素,以了解这种增加的风险。对于本系统性综述,我们检索了PUBMED、CINAHL、PROQUEST(中东和北非;拉丁美洲和伊比利亚;东亚和南亚)、Web of Science、EMBASE和PsycINFO(奥维德),以查找2000年1月1日至2021年1月1日期间以英语、法语和西班牙语发表的记录。所纳入的记录采用定量、定性或混合方法,报告原始数据,以暴力侵害妇女行为为主要结果,并侧重于过去12个月中妇女自我报告的身体和/或性暴力经历发生率最高的23个国家中的至少一个国家。我们使用关键的解释性综合开发一个概念模型之间的关联确定的危险因素和暴力侵害妇女。我们的搜索确定了12 044条记录,其中241条被纳入分析(2 80 360名女性,40 276名男性,274名关键线人)。大多数研究来自孟加拉国(74)、乌干达(72)和坦桑尼亚(43)。几项定量研究探讨了社区/地区一级的社会经济地位和教育作为风险因素,但与暴力侵害妇女的关系好坏参半。尽管研究的数量较少,而且只代表一个国家,但研究报告称,社区一级的儿童遭受暴力和城市居住的影响更为一致。对一个国家高流行率的理论解释表明,遭受其他形式的暴力(武装冲突、目睹父母暴力、虐待儿童)和重男轻女社会规范的重要性。现有的证据表明,暴力侵害妇女现象的普遍性提高不能归因于单一的风险因素。需要进行多层次和地区一级的风险分析,以确保资金适当地用于暴力侵害妇女现象最普遍的国家。该综述已在PROSPERO注册(CRD 42020190147)。
Violence against women (VAW) affects one in three women globally. In some countries, women are at much higher risk. We examined risk factors for VAW in countries with the highest 12-month prevalence estimates of intimate partner violence (IPV) to develop understanding of this increased risk. For this systematic review, we searched PUBMED, CINAHL, PROQUEST (Middle East and North Africa; Latin America and Iberia; East and South Asia), Web of Science, EMBASE and PsycINFO (Ovid) for records published between 1 January 2000 and 1 January 2021 in English, French and Spanish. Included records used quantitative, qualitative, or mixed-methods, reported original data, had VAW as the main outcome, and focused on at least one of 23 countries in the highest quintile of prevalence figures for women’s self-reported experiences of physical and/or sexual violence in the past 12 months. We used critical interpretive synthesis to develop a conceptual model for associations between identified risk factors and VAW. Our search identified 12 044 records, of which 241 were included for analysis (2 80 360 women, 40 276 men, 274 key informants). Most studies were from Bangladesh (74), Uganda (72) and Tanzania (43). Several quantitative studies explored community-level/region-level socioeconomic status and education as risk factors, but associations with VAW were mixed. Although fewer in number and representing just one country, studies reported more consistent effects for community-level childhood exposure to violence and urban residence. Theoretical explanations for a country’s high prevalence point to the importance of exposure to other forms of violence (armed conflict, witnessing parental violence, child abuse) and patriarchal social norms. Available evidence suggests that heightened prevalence of VAW is not attributable to a single risk factor. Multilayered and area-level risk analyses are needed to ensure funding is appropriately targeted for countries where VAW is most pervasive. The review is registered with PROSPERO (CRD42020190147).
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