人口因素与性关系之间的关联 亲密伴侣暴力 犯罪和受害:元分析
Paul A Zehr1, Chelsea M Spencer1, Mariah Moore1
1Kansas State University USA Kansas State University, USA.
概括
性亲密伴侣暴力 (SIPV) 不成比例地影响双性恋,LGBTQ,女性和残疾人. 较低的收入,教育程度和年轻的年龄增加了风险,而婚姻提供了防止SIPV受害者的保护.
科学领域:
- 公共卫生 公共卫生
- 社会学 社会学 社会学
- 心理学 心理学 心理学
背景情况:
- 性亲密伴侣暴力 (SIPV) 是一个关键的全球公共卫生问题.
- 了解SIPV的人口风险和保护因素对于有针对性的干预措施至关重要.
研究的目的:
- 进行一项元分析,检查人口因素与SIPV犯罪和受害之间的关联.
- 确定与增加风险或对SIPV的保护相关的特定人口变量.
主要方法:
- 对143篇已识别的文章进行了全面的元分析.
- 使用综合元分析3.0软件来计算总效应大小 (皮尔森的r).
- 分析了人口统计学变量与SIPV暴露之间的关系,按犯罪/受害和性别分层.
主要成果:
- 在SIPV受害和认定为双性恋 (r = .25),LGBTQ (r = .21),女性 (r = .19) 和残疾人 (r = .19) 之间发现了显著的相关性.
- 较低的收入 (r = .07),较低的教育程度 (r = .06) 和较年轻的年龄 (r = .04) 与增加SIPV受害率有关.
- 婚姻 (r = -.08) 成为SIPV受害的保护因素,而女性身份与SIPV犯罪有负面关联 (r = -.17).
结论:
- 人口因素显著影响SIPV犯罪和受害风险.
- 特定群体,包括双性恋,LGBTQ,女性和残疾人,面临着更高的风险.
- 婚姻状况和性别认同在SIPV风险中发挥着作用,婚姻是保护性的,女性身份认同与犯罪负面相关.
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