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

 描述(由申请人提供)：被诊断为艾滋病毒的女性经历了高比例的亲密伴侣暴力，从童年开始就有性侵害史，并且更有可能滥用药物(Cavanaugh，Hansen&Sullivan，2010；Cohen等人，2000)。然而，关于艾滋病毒危险行为是如何开始的，并在遭受虐待的高危女性中持续到青春期，人们知之甚少。此外，随着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)，性社会化的格局正在迅速变化。因此，本研究旨在通过潜在类别分析和潜在转变分析等以人为中心的方法，了解网络性行为社会化与HIV危险行为以及其他危险行为(如吸食毒品)之间的关系。利用女性青少年发展研究(FADS)的数据，该研究跟踪了14-19岁女性青少年的高危样本(45%的非裔美国人和53%的虐待)，拟议的研究将(1)在这些行为发生之前确定具有特别危险的女性青少年亚群，告知干预目标人群，(2)确定新的危险因素 通过如今已成为青少年性行为一部分的危险在线行为，(3)确定与艾滋病毒和药物使用有关的许多风险因素如何聚集在一起，随着时间的推移发生变化，告知干预的时机，以及(4)确定受虐待青少年和少数民族的艾滋病毒风险路径有何不同，以便以安全性行为为目标的干预措施能够帮助所有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.