Suppr超能文献

移民和非移民妇女:预测离开虐待关系的因素。

Immigrant and nonimmigrant women: factors that predict leaving an abusive relationship.

机构信息

Kansas State University, Manhattan, KS 66506, USA.

出版信息

Violence Against Women. 2012 May;18(5):611-33. doi: 10.1177/1077801212453139. Epub 2012 Jul 16.

Abstract

This research used logistic regression to test components of Choice and Lamke's (1997) two-part decision-making model and Hamby's (2008) holistic risk assessment as predictors of the decision to separate from an abusive partner, comparing significant predictors for immigrant (n = 497) and nonimmigrant (n = 808) women. Findings demonstrated that immigrant women reported higher levels of perceived risks/barriers to leaving, provided some support for the use of a holistic risk assessment in understanding women's decisions to leave, and demonstrated that immigrant and nonimmigrant women have both similarities and differences in the factors that predict leaving. Clinical and policy implications are addressed.

摘要

本研究采用逻辑回归检验了 Choice 和 Lamke(1997)的两部分决策模型的组成部分和 Hamby(2008)的整体风险评估作为与虐待伴侣分离的决定的预测因素,比较了移民(n = 497)和非移民(n = 808)妇女的显著预测因素。研究结果表明,移民妇女报告的离开的感知风险/障碍水平更高,为使用整体风险评估来理解妇女离开的决定提供了一些支持,并表明移民和非移民妇女在预测离开的因素上既有相似之处,也有不同之处。讨论了临床和政策方面的意义。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验