大学中的歧视,跟踪,性骚扰和性暴力 - - 在德国一所大学的样本中,探索和预测学生和教职员工之间的基于模式的子类别
Marie-Theresa Kaufmann1, Noemi Preisendanz1, Jörg M Fegert1,2
1Department of Child and Adolescent Psychiatry/Psychotherapy, University Hospital Ulm, Ulm, Germany.
BMC public health
|December 8, 2025
概括
歧视,跟踪,性骚扰和性暴力 (DSHV) 在德国大学中很常见. 这项研究在学生和工作人员中确定了不同的DSHV概况,揭示了风险因素,并为有针对性的预防策略提供了信息.
科学领域:
- 社会学 社会学 社会学
- 犯罪学 犯罪学
- 高等教育研究 高等教育研究
背景情况:
- 歧视,跟踪,性骚扰和性暴力 (DSHV) 是全球高等教育中普遍存在的问题.
- 德国大学对DSHV患病率和模式的系统调查明显缺失.
- 本研究通过在德国学术环境中全面调查DSHV来弥补这一差距.
研究的目的:
- 评估德国大学的学生和工作人员中所有形式的DSHV的流行情况.
- 识别不同的,基于模式的DSHV经验子类别 (集群).
- 确定与这些DSHV集群的归属相关的预测因素.
主要方法:
- 在2023年4月至7月期间,对2,128名参与者 (1358名学生,753名员工) 进行了在线调查.
- 使用分层集群分析来识别基于模式的DSHV体验子类别.
- 使用多项逻辑回归模型来分析影响集群成员的因素.
主要成果:
- 对于学生和工作人员来说,出现了三个不同的集群:不受影响的,有限的DSHV经历,以及广泛的DSHV经历 (特别是性骚扰和暴力).
- 增加DSHV体验的关键风险因素包括女性,感知强烈的等级制度,更长的大学任期,以及学习医学或自然科学.
- 这些发现表明,DSHV形式和特定组的漏洞存在着显著的同时存在.
结论:
- 该研究证实了学术环境中DSHV的高流行率和共同发生,强调经历一种形式会增加对其他形式的脆弱性.
- 由于DSHV风险升高,自然科学的女学生需要特别注意.
- 干预策略应该是全球性的和有针对性的,由风险分析提供信息,以有效地支持学生和工作人员.
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