HIV and Substance Use Prevention Among Maltreated and Non-Maltreated Female Adolescents

 描述（由申请人提供）：被诊断患有艾滋病毒的女性经历了高比例的亲密伴侣暴力，有从童年开始的性受害史，并且更有可能滥用药物（卡瓦诺，汉森和沙利文，2010年;科恩等人，2000年）。然而，很少有人知道艾滋病毒的危险行为开始，并持续在整个青春期的高风险女性谁被虐待。此外，性社会化的景观正在迅速变化，因为互联网色情变得更容易获得（Ybarra，Finkelhor，Mitchell，& Wolak，2009）和社交媒体网站更受欢迎（Rideout，Foehr，Roberts，& Foundation，2010）。因此，本研究的目的是了解网络性社会是如何与其他风险行为（如物质使用），通过潜在的类分析和潜在的转换分析的人为中心的方法相结合的艾滋病毒的风险行为。使用来自女性青少年发展研究（FADS）的数据，该研究跟踪了一个高风险样本（45%的非洲裔美国人和53%的虐待）的女性青少年从14-19岁，拟议的研究将（1）确定特定亚组的女性青少年在特定风险的物质使用和艾滋病毒的风险行为发生之前，这些行为，告知目标人群进行干预，（2）识别新的风险因素 通过危险的在线行为，这是今天青少年性行为的一部分，为干预措施的相关内容提供信息，（3）确定与艾滋病毒和物质使用相关的许多风险因素的聚集如何随着时间的推移而转变，为干预措施的时机提供信息，以及（4）确定受虐待青少年和少数民族的艾滋病毒风险途径有何不同，以便针对安全性行为的干预措施能够帮助所有人女性青少年引导安全的性行为。

 DESCRIPTION (provided by applicant): Females diagnosed with HIV have experienced high rates of intimate partner violence, have a history of sexual victimization beginning in childhood, and are significantly more likely to abuse substances (Cavanaugh, Hansen, & Sullivan, 2010; Cohen et al., 2000). However, little is known about how HIV risk behaviors begin and are sustained throughout adolescence among high-risk females who have been abused. In addition, the landscape of sexual socialization is rapidly changing as internet pornography becomes more accessible (Ybarra, Finkelhor, Mitchell, & Wolak, 2009) and social media websites more popular (Rideout, Foehr, Roberts, & Foundation, 2010). Therefore, the current study aims to understand how cyber-sexual socialization is related to HIV risk behavior in conjunction with other risk behaviors (such as substance use) through the person-centered approaches of Latent Class Analysis and Latent Transition Analysis. Using data from the Female Adolescent Development Study (FADS) which followed a high-risk sample (45% African American and 53% maltreated) of female adolescents from age 14-19, the proposed study will (1) identify particular sub-groups of female adolescents at particular risk for substance use and HIV risk behavior before the onset of those behaviors, informing the target population for intervention, (2) identify new risk factors through risky online behavior that are so much a part of adolescents sexual behavior today, informing the relevant content of interventions, (3) identify how clustering of many risk factors related to HIV and substance use transition over time, informing the timing of interventions, and (4) determine how the HIV risk path differs for maltreated adolescents and ethnic minorities so that interventions that target safe sexuality can help all female adolescents navigate safe sexual behavior.