在墨西哥背景下对害怕成为受害者的恐惧的回避行为模式:隐藏的阶级分析
Sharon Borja1, Heather Storer2, Pedro Isnardo De La Cruz3
1University of Houston, TX, USA.
Journal of interpersonal violence
|December 30, 2023
概括
害怕成为受害者 (FOV) 促使避免行为,影响生活质量. 隐性类别分析揭示了三个不同的FOV反应概况:回避性,谨慎性和保护性,突出了风险管理中的个体差异.
科学领域:
- 犯罪学 犯罪学
- 社会学 社会学 社会学
- 公共卫生 公共卫生
背景情况:
- 害怕成为受害者 (FOV) 显著影响行为,往往导致避免策略.
- 避开行为,如将活动限制在安全区域,与负面的健康结果和降低生活质量有关.
- 现有的研究往往将与FOV相关的回避视为一个单一的构造,可能会忽视重要的个体变化.
研究的目的:
- 用以以人为中心的方法来探索回避行为的异质性,以应对害怕受害的恐惧.
- 根据个人回避行为及其与身体和社会脆弱性的关系,识别个人独特的个人资料.
- 了解人口统计因素和社区特征如何影响这些回避概况.
主要方法:
- 隐性类分析 (LCA) 应用于来自墨西哥国家受害者和安全感知调查 (2021) 的数据,其中有83,696名参与者.
- 分析侧重于15种特定的回避行为,这些行为表明人们害怕成为受害者.
- 多项逻辑回归被用来检查年龄,性别,教育和社区贫困对阶级成员的影响.
主要成果:
- 避免行为出现了三种不同的类别:"回避" (广泛的调整),"谨慎" (适度的调整) 和"保护" (最小的调整,专注于未成年人).
- 人口统计因素 (年龄,性别,教育) 和社区贫困是阶级成员身份的重要预测因素,尽管重要性在不同群体之间有所不同.
- 环境背景在塑造对安全的看法和随后的避免行为方面发挥着至关重要的作用.
结论:
- 与FOV相关的避开不是一个统一的反应;存在不同的,有意义的配置文件.
- 以人为中心的方法揭示了对个人如何适应感知到的风险的更细致的理解.
- 调查结果强调了考虑个人差异和环境因素在解决受害者恐惧及其后果方面的重要性.
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