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

青春期和成年早期的多层次风险状况和生殖健康。

基本信息

批准号：
9884796
负责人：
Sara A. Vasilenko
金额：
$ 8.06万
依托单位：
SYRACUSE UNIVERSITY
依托单位国家：
美国
项目类别：
财政年份：
2019
资助国家：
美国
起止时间：
2019-04-01 至 2022-08-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/9884796
关键词：
Address Adolescence Adolescent Adolescent and Young Adult Adult Age Alcohol or Other Drugs use Centers for Disease Control and Prevention (U.S.)Complex Data Data Set Development Developmental Course Disease Ethnic Origin Family Felis catus Grant Health Individual Infertility Intervention Knowledge Light Longitudinal Studies Malignant Neoplasms Manuscripts Medical Care Costs Methods Modeling Nature Neighborhoods Outcome Parents Pattern Pelvis Population Poverty Pregnancy Prevention Prevention program Process Public Health Publishing Race Reproductive Health Research Research Personnel Risk Risk Factors STI prevention Safety Scientist Sex Behavior Sexual Health Sexually Transmitted Diseases Statistical Models Subgroup Time United States Ursidae Family age related aged analytical method base behavior change biological sex condoms cost estimate demographics flexibility health disparity high risk high risk sexual behavior improved innovation insight novel novel strategies peer protective factors response secondary analysis sexual minority sexual risk behavior sexually active sexually active adolescent social syntax therapy design time use trend unintended pregnancy young adult

项目摘要

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.

项目总结/摘要性健康和生殖健康仍然是一个公共卫生问题。在美国，性行为的发生率传播感染和意外怀孕在青少年和年轻人中最高，预防方案对这一群体尤为重要。纵向数据现在可以给出更深入地了解性健康和生殖健康结果的基本因素，青春期和青年期，但新的分析方法是必要的，以释放这一全部潜力数据我们提出了使用和整合两个创新的分析方法，随时间变化的影响建模（TVEM）和潜在类别分析（LCA）对长期纵向数据从国家纵向研究 Adolescent to Adult Health（添加健康）。该项目有三个具体目标。第一个目标将阐明年龄性健康和生殖健康成果的趋势（例如，性风险行为、性传播感染、意外怀孕）在人口水平上，我们将研究这些年龄变化的趋势如何不同，人口统计学亚组（生物学性别、种族/民族和性少数地位）。第二个目标将检查多水平早期风险因素的概况（例如，父母，同伴，邻居）预测性和从青春期到青年期的生殖健康结果，以及这些年龄差异关联因人口统计学亚组而异。最后，第三个目标将研究不同年龄的个体不同的因素可以预测青春期和青年期的SRH结果，以及这些因素如何影响SRH结果。相关性因人口统计学亚组和早期风险特征类别的成员而异，目标2.该项目将在人口一级提供关于性健康和生殖健康成果发展过程的知识，这些结果背后的过程，以及它们如何因亚组而异。结果将允许预防科学家设计针对特定年龄段最相关风险因素的干预措施，分组。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的问题关于年龄变化的过程。