The purpose of this investigation is to document the prevalence and consequences of technology-facilitated abuse (TFA) among college students and examine whether gender identity and sexual identity are associated with TFA exposure and related academic and mental health consequences. Data were analyzed from a campus climate survey distributed in Spring 2022. Data from 1,543 college students were collected for TFA experiences, academic consequences, and TFA-related depression, anxiety, and traumatic stress. Multiple linear regression analyses were conducted to test for unique contributions of sexual identity, gender identity, and number of TFA experiences to the outcomes of academic consequences, depression, anxiety, and traumatic stress. The number of TFA experiences was a significant predictor across all models. The contributions of sexual identity and gender identity differed for each outcome. The results of this study align with prior research which has found sexual identity and gender identity to affect outcomes associated with TFA. In addition, TFA was more prevalent among sexual and gender minority students, and the consequences of TFA were more severe within this population. These results suggest that programming takes a dual approach in addressing TFA through reducing TFA exposure and mitigating the impacts of TFA on mental health and other outcomes.

中文翻译：

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技术促进的大学生虐待：流行率和后果，以及按性别和性身份进行的检查


这项调查的目的是记录大学生中技术促进虐待 （TFA） 的普遍性和后果，并检查性别认同和性认同是否与 TFA 暴露以及相关的学术和心理健康后果有关。数据来自 2022 年春季分发的校园气候调查。收集了 1,543 名大学生的 TFA 经历、学业后果以及与 TFA 相关的抑郁、焦虑和创伤应激的数据。进行多元线性回归分析，以检验性认同、性别认同和 TFA 经历数量对学业后果、抑郁、焦虑和创伤应激结果的独特贡献。TFA 体验的数量是所有模型的重要预测因子。性认同和性别认同对每个结局的贡献不同。这项研究的结果与之前的研究一致，后者发现性认同和性别认同会影响与 TFA 相关的结果。此外，TFA 在性少数群体和性别少数群体学生中更为普遍，并且 TFA 的后果在该人群中更为严重。这些结果表明，编程采用双重方法来解决 TFA，即减少 TFA 暴露和减轻 TFA 对心理健康和其他结果的影响。