Multilevel risk profiles and reproductive health across adolescence and young adulthood.

项目摘要/摘要 性健康和生殖健康仍然是一个公共卫生问题。在美国，性行为的比率 传播感染和意外怀孕在青少年和年轻人中最高，使 预防方案对这一群体尤为重要。现在存在的纵向数据可以给出 对性健康和生殖健康结果背后的因素有了更深入的了解 青春期和青春期，但新的分析方法是必要的，以充分释放这一潜力 数据。我们提出了两种创新的分析方法的使用和集成，即时变效应建模 (TVEM)和潜在类别分析(LCA)对来自国家纵向研究的长期纵向数据 青少年到成人健康(增加健康)。这个项目有三个具体目标。第一个目标是阐明年龄 青春期SRH结局的趋势(例如性危险行为、性传播感染、意外怀孕) 在人口层面上通过青壮年。我们将研究这些年龄变化趋势的不同之处 人口亚组(生物性别、种族/族裔和性少数地位)。第二个目标是 检查多级别早期风险因素(例如，父母、同伴、邻居)的概况如何预测性和 从青春期到青春期的生殖健康结果，以及这些年龄变化 不同的人口子组之间的联系也不同。最后，第三个目标将考察不同年龄的个体 不同的因素预测青春期和青春期的SRH结局，以及这些因素是如何 在中确定的早期风险配置文件类别中，关联因人口统计子组和成员身份而异 目标2.该项目将提供人口层面的关于生殖健康成果发展进程的知识， 这些结果背后的过程，以及它们在不同子组中的差异。结果将允许预防 科学家针对特定年龄段的最相关风险因素设计干预措施 子组。为了最大限度地发挥项目的整体影响，出版的手稿将包括统计数据的细节 模型和编程语法，以便研究人员可以使用这些方法来回答新问题 关于年龄变化的过程。

PROJECT SUMMARY/ABSTRACT Sexual and reproductive health continues to be a public health concern. In this United States, rates of sexually transmitted infections and unintended pregnancy are highest among adolescents and young adults, making prevention programs to this group to be particularly important. Longitudinal data now exists that can give greater insight into the factors that underlie sexual and reproductive health outcomes develop across adolescence and young adulthood, but new analytic methods are necessary to unlock the full potential of this data. We propose the use and integration of two innovative analytic methods, the time-varying effect modeling (TVEM) and latent class analysis (LCA) to long-term longitudinal data from the National Longitudinal Study of Adolescent to Adult Health (Add Health). This project has three specific aims. The first aim will elucidate age trends in SRH outcomes (e.g., sexual risk behaviors, STIs, unintended pregnancy) across adolescence through young adulthood at the population level. We will examine how these age-varying trends differ by demographic subgroups (biological sex, race/ethnicity, and sexual minority status). The second aim will examine how profiles of multilevel early risk factors (e.g., parent, peer, neighborhood) predict sexual and reproductive health outcomes across adolescence through young adulthood, and how these age-varying associations differ by demographic subgroup. Finally, the third aim will examine how age-varying individual factors differentially predict SRH outcomes across adolescence and young adulthood, and how these associations differ by demographic subgroups and membership in the early risk profile classes determined in Aim 2. This project will provide population-level knowledge on the developmental course of SRH outcomes, processes which underlie these outcomes, and how they differ by subgroup. Results will allow prevention scientists to design interventions targeting the most relevant risk factors at particular ages for specific subgroups. To maximize the project’s overall impact, published manuscripts will include details of the statistical models and programming syntax so that researchers can use these approaches to answer new questions about age-varying processes.