Michigan State University.
The Pennsylvania State University.
J Res Adolesc. 2018 Sep;28(3):731-747. doi: 10.1111/jora.12364. Epub 2017 Nov 20.
This study used latent class analysis to identify patterns (i.e., classes) across a broad range of online sexual experiences among female adolescents (n = 312) and to explore offline sexual behavior and substance use correlates of as well as maltreatment differences in class membership. The following four classes were identified: Online Abstinent, Online Inclusive, Attractors, and Seekers. Maltreated female adolescents were more likely to be members of the Online Inclusive class and less likely to be members of the Online Abstinent class than nonmaltreated female adolescents. Offline sexual behaviors and substance use differentially predicted class membership. These results suggest online sexual experiences vary greatly and should not be aggregated together as a global risk factor for all female adolescents.
本研究使用潜在类别分析来识别女性青少年（n=312）广泛的在线性经历模式（即类别），并探讨线下性行为和物质使用与类别成员身份相关的虐待差异。确定了以下四个类别：在线禁欲、在线包容、吸引者和探索者。与未受虐待的女性青少年相比，受虐待的女性青少年更有可能成为在线包容类别的成员，而不太可能成为在线禁欲类别的成员。线下性行为和物质使用差异预测了类别成员身份。这些结果表明，在线性经历差异很大，不应将其作为所有女性青少年的全球风险因素而一概而论。
