Sociological Theories to Explain Intimate Partner Violence: A Systematic Review and Narrative Synthesis

解释亲密伴侣暴力行为的社会学理论:系统性回顾与叙述性综合

阅读:1

Abstract

Intimate partner violence (IPV) is a highly prevalent public health challenge and human rights violation. Sociological theories address social structures to understand prevalence and dynamics of IPV against women. This systematic review aims (1) to identify, describe, categorize, and synthesize sociological theories that account for predictors of IPV against women, and (2) to compare and contrast sociological theories of predictors of IPV against women. Following a structured search of nine electronic databases, members of the review team screened title/abstract and full texts against inclusion and exclusion criteria, to identify studies that engaged with theory/ies of predictors of IPV. Review team members extracted data according to a data extraction template developed for the review. Results are presented using a narrative synthesis approach. Following review of 108 included articles, included articles were grouped into sub-theories. The sub-theories provide differing, yet overlapping, accounts of predictors of male perpetration of IPV and women's experience of IPV. Sociological theories primarily engage with exo- and macro-system levels of the social-ecological framework, yet some also address structural influences on individual behaviors. This systematic review fills a gap in theoretical syntheses of sociological theories of predictors of male-perpetrated IPV against women and also provides critical analysis of how these theories overlap and intersect. While sociological theories may not be able to fully explain all aspects of dynamics of male-perpetrated IPV against women, this overview indicates that there are several compelling components of sociological theory that hold explanatory power for comprehending how, where, and why IPV occurs.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。