A systems science approach to understanding sexual risk behavior in young women

理解年轻女性性危险行为的系统科学方法

• 批准号: 8564970
• 负责人: Sara A. Vasilenko
• 金额: $ 6.29万
• 依托单位: PENNSYLVANIA STATE UNIVERSITY, THE
• 依托单位国家: 美国
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-09-17 至 2015-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8564970
• 关键词: Accounting; Address; Advocate; African American; American; Attitude; Behavior; Behavioral; Characteristics; Chlamydia; Complex; Contraceptive Usage; Contracts; Data; Decision Making; Disease; Ectopic Pregnancy; Ethnic Origin; Ethnic group; European; Evolution; Future; Gonorrhea; HIV; Health; Individual; Infertility; Institute of Medicine (U.S.); Intervention; Knowledge; Lead; Life; Logistics; Malignant neoplasm of cervix uteri; Measures; Minority; Minority Groups; Modeling; Morbidity - disease rate; Nature; Outcome; Pattern; Pelvic Inflammatory Disease; Pelvic Pain; Population; Prevention program; Process; Race; Reporting; Research; Risk; Risk Behaviors; Science; Sex Behavior; Sexual Health; Sexual Partners; Sexually Transmitted Diseases; Socioeconomic Factors; Socioeconomic Status; Source; System; Techniques; Time; United States; Unsafe Sex; Woman; aged; behavior influence; burden of illness; condoms; diaries; effective intervention; experience; high risk; high risk sexual behavior; innovation; low socioeconomic status; men; mortality; novel; novel strategies; protective behavior; public health relevance; racial and ethnic; sex; sex risk; sexually active; social; young adult; young woman

DESCRIPTION (provided by applicant): Young women are at disproportionate risk of STIs and their consequences, with the highest rates of chlamydia and gonorrhea, as well as outcomes such as pelvic inflammatory disease, infertility and cervical cancer. This disease burden has a disparate on some groups of young women, such as racial/ethnic minorities and women of low socio-economic status. To date, most research and prevention programs have focused on individual- level predictors of sexual risk behavior measured at a single time point (e.g., behavioral intentions, attitudes). However, individuals' intentions to engage in risky or protective behaviors may vary across contexts and over the course of relationships. By applying a cutting-edge analytic technique to richly detailed, intensive longitudinal data, we will extend research on sexual risk behavior to address the relationship dynamics that influence these behaviors. This project will make use of data collected weekly from nearly 1,000 young women over 2.5 years, including detailed information about their relationships, sexual behavior, contraceptive use, attitudes and intentions. We will apply a novel analytic technique, the time-varying effect model, to understand women's sexual risk behavior over the course of the relationship with a sexual partner. This project has three specific aims. First, we will model patterns of young women's non-use of condoms over the course of sexual partnerships. Second, we will examine how women's intentions to use condoms differentially predict condom non-use over the course of sexual partnerships. Finally, we will delve into sources of disparities in sexual health outcomes by examining how these patterns of sexual risk behavior may differ by race/ethnicity, socioeconomic factors and urbanicity. By modeling how sexual risk behavior evolves over the course of a relationship, the proposed project will inform the creation of more effective prevention programs that are targeted to high risk populations and relationships contexts.

描述（由申请人提供）：年轻女性感染性传播感染及其后果的风险过高，其中衣原体和淋病的发病率最高，以及盆腔炎、不孕症和宫颈癌等后果。这种疾病负担对某些年轻女性群体的影响不同，例如少数种族/族裔和社会经济地位较低的女性。迄今为止，大多数研究和预防计划都集中在单个时间点测量的个体层面的性危险行为预测因素（例如行为意图、态度）。然而，个人从事危险或保护行为的意图可能因环境和关系过程而异。通过将尖端的分析技术应用于详细、密集的纵向数据，我们将扩展对性危险行为的研究，以解决影响这些行为的关系动态。该项目将利用 2.5 年内每周从近 1,000 名年轻女性收集的数据，包括有关她们的关系、性行为、避孕药具使用、态度和意图的详细信息。我们将应用一种新颖的分析技术，即时变效应模型，来了解女性在与性伴侣的关系过程中的性危险行为。该项目有三个具体目标。首先，我们将模拟年轻女性在性伙伴关系过程中不使用安全套的模式。其次，我们将研究女性使用安全套的意图如何不同地预测性伙伴关系过程中不使用安全套的情况。最后，我们将通过研究这些性危险行为模式如何因种族/民族、社会经济因素和城市化而有所不同，从而深入探讨性健康结果差异的根源。通过对性风险行为在关系过程中如何演变进行建模，拟议的项目将为制定针对高风险人群和关系环境的更有效的预防计划提供信息。