University College Dublin (UCD), Dublin, Ireland.
Jigsaw, The National Centre for Youth Mental Health, Dublin, Ireland.
J Interpers Violence. 2024 Nov;39(21-22):4356-4386. doi: 10.1177/08862605241235626. Epub 2024 Mar 8.
Although numerous predictors of sexual violence (SV) have been identified, there is a need to further explore protective factors and examine the nature and strength of associations between predictors and SV outcomes using a hierarchical predictive model. Cross-sectional data from the My World Survey Post-Second Level (2019) in Ireland were used. The sample contained 8, 288 post-secondary students, 69% female, aged 18 to 25 years ( = 20.25, = 1.85). Univariate and multivariate binary logistic regression analyses were conducted to identify correlates of two SV outcomes (i.e., forced/pressured to have sex and being touched in a sexual manner without consent) across societal, community, relationship, and individual levels. Approximately 25% of females and 10% of males reported being forced/pressured to have sex, whereas 55% of females and 23% of males reported being touched in a sexual manner without consent. Key predictors of SV in multivariate analyses included being female and experiencing violence in a romantic relationship, whereas discrimination, living on campus or in rented accommodation (compared with living at home) were also significant predictors of both SV outcomes. Parental conflict, sexual initiation, depressive symptoms, older age, and an avoidant coping style significantly predicted being forced/pressured to have sex, whereas being bullied and engaging in problem drinking were unique predictors of being touched sexually without consent. Findings highlight the importance of considering salient risk and protective factors at the individual, relationship, community and societal level to predict SV and effectively guide the delivery of interventions and support services for post-secondary students affected by SV.
尽管已经确定了许多性暴力（SV）的预测因素，但仍需要进一步探索保护因素，并使用分层预测模型来检查预测因素与 SV 结果之间的关系的性质和强度。本研究使用了爱尔兰“我的世界调查第二级后”（2019 年）的横断面数据。该样本包含 8288 名大专学生，女性占 69%，年龄在 18 至 25 岁之间（平均值为 20.25，标准差为 1.85）。采用单变量和多变量二元逻辑回归分析，以确定社会、社区、人际关系和个人层面上两个 SV 结果（即被迫/被迫发生性行为和未经同意以性方式被触摸）的相关因素。大约 25%的女性和 10%的男性报告说被迫/被迫发生性行为，而 55%的女性和 23%的男性报告说未经同意以性方式被触摸。多变量分析中的关键 SV 预测因素包括女性和在恋爱关系中经历暴力，而歧视、住在校园或出租房（与住在家中相比）也是两个 SV 结果的重要预测因素。父母冲突、性开始、抑郁症状、年龄较大和回避应对方式显著预测被迫/被迫发生性行为，而被欺负和饮酒问题是未经同意以性方式被触摸的独特预测因素。研究结果强调了在个人、关系、社区和社会层面上考虑重要的风险和保护因素来预测 SV 以及有效指导为受 SV 影响的大专学生提供干预和支持服务的重要性。
