University of New Hampshire, Durham, NH, USA.
J Interpers Violence. 2023 Jun;38(11-12):7780-7803. doi: 10.1177/08862605221149090. Epub 2023 Jan 29.
As technology has become increasingly integrated into the everyday lives of young people and social interactions have moved online, so too have the opportunities for child sexual abuse. However, the risk factors for online sexual abuse, and their similarities or differences with those of offline sexual abuse have not been clarified, making it difficult to design prevention strategies. Using a nationally representative online survey panel of young adults ages 18 to 28, the current study sought to identify risk factors for online childhood sexual abuse and compare their relevance and strength in predicting offline sexual abuse. The 2,639 participants, ages 18 to 28, were sampled from the Ipsos KnowledgePanel and were asked questions about 11 different kinds of technology-facilitated online sexual abuse that occurred in childhood, follow-up questions about their dynamics and offenders, and a variety of potential risk factors. Results indicated that: (1) being cisgender female, nonheterosexual, and having parents with less than a high school education emerged as important demographic predictors of online child sexual abuse (OCSA); and (2) early offline sexual abuse was the strongest predictor of OCSA, when considering both its direct and indirect effects through online risky behavior. Findings suggest that prevention programs directed at reducing risk of sexual abuse, in general, are likely to be effective against online sexual abuse, provided they also incorporate efforts to educate youth on the need to avoid risky online behaviors.
随着技术日益融入年轻人的日常生活，社交互动也转移到了线上，儿童性虐待的机会也随之增加。然而，线上性虐待的风险因素，以及它们与线下性虐待的风险因素的相似性或差异性，尚未得到明确，这使得设计预防策略变得困难。本研究使用了全国代表性的 18 至 28 岁年轻人在线调查小组，旨在确定线上儿童性虐待的风险因素，并比较其在预测线下性虐待方面的相关性和强度。2639 名年龄在 18 至 28 岁的参与者来自益普索知识面板（Ipsos KnowledgePanel），他们被问及 11 种不同类型的线上儿童性虐待行为，这些行为发生在童年时期，还询问了他们的动态和施虐者，以及各种潜在的风险因素。结果表明：(1)跨性别女性、非异性恋者、父母受教育程度低于高中，这些都是线上儿童性虐待（OCSA）的重要人口统计学预测因素；(2)考虑到线上危险行为的直接和间接影响，早期线下性虐待是 OCSA 的最强预测因素。研究结果表明，一般来说，旨在降低性虐待风险的预防计划，可能对线上性虐待有效，前提是这些计划还纳入了教育年轻人避免线上危险行为的努力。
