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 ( M = 20.25, SD = 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.

中文翻译：

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爱尔兰专上学生性受害的社会生态风险和保护因素：简要报告

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检查预测因素与 SV 结果之间关联的性质和强度。使用了爱尔兰《我的世界调查》中学后课程（2019 年）的横截面数据。样本包含 8, 288 名专上学生，其中 69% 为女性，年龄在 18 至 25 岁之间（M = 20.25，SD = 1.85）。进行单变量和多变量二元逻辑回归分析，以确定社会、社区、关系和个人层面上两种 SV 结果（即强迫/被迫发生性行为和未经同意以性方式触摸）的相关性。大约 25% 的女性和 10% 的男性表示曾被迫/被迫发生性行为，而 55% 的女性和 23% 的男性则表示曾在未经同意的情况下被以性方式触摸。多变量分析中 SV 的关键预测因素包括女性身份和在恋爱关系中遭受暴力，而歧视、住在校园或出租房屋（与住在家里相比）也是两种 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着预测被迫/被迫发生性行为，而被欺负和酗酒是未经同意进行性接触的独特预测因素。研究结果强调了考虑个人、关系、社区和社会层面的显着风险和保护因素的重要性，以预测 SV 并有效指导为受 SV 影响的专上学生提供干预措施和支持服务。