Longitudinal Dyadic Analysis of HIV-positive Substance Users with Trauma History

有创伤史的艾滋病毒阳性物质使用者的纵向二元分析

• 批准号: 8033452
• 负责人: Deborah Lynne Jones
• 金额: $ 8.05万
• 依托单位: UNIVERSITY OF MIAMI SCHOOL OF MEDICINE
• 依托单位国家: 美国
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-09-30 至 2011-09-29
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8033452
• 关键词: AIDS prevention; AIDS/HIV problem; Address; Adult; Age; Alcohol or Other Drugs use; Autoimmune Diseases; Award; Behavior; Belief; Brain; Cardiovascular Diseases; Childhood; Cognitive; Collaborations; Competence; Complex; Couples; Data; Data Set; Development; Diabetes Mellitus; Equation; Ethnic Origin; Female; Frequencies; Gender; Goals; HIV; HIV Seropositivity; Health; Health behavior; Individual; Intervention; K-18 conjugate; K-Series Research Career Programs; Learning; Life; Linear Models; Malignant Neoplasms; Mediating; Mediator of activation protein; Mental Health; Mental disorders; Mentors; Meta-Analysis; Methods; Modeling; Neurosecretory Systems; Outcome; Outcome Study; Participant; Population; Post-Traumatic Stress Disorders; Pregnancy; Process; Public Health; Randomized; Recording of previous events; Relative (related person); Research; Research Personnel; Research Project Grants; Risk; Risk Behaviors; Risk Reduction; Role; Severities; Sex Orientation; Sexual Partners; Sexually Transmitted Diseases; Socioeconomic Status; Statistical Methods; Stress; Survivors; Symptoms; Techniques; Theoretical model; Time; Translational Research; Translations; Trauma; Victimization; Woman; behavioral/social science; career; experience; group intervention; immune function; member; men; pediatric trauma; post intervention; response; sex risk; sexual trauma; skills; standard of care; stressor; translational study

DESCRIPTION (provided by applicant): As a mid-career investigator in applied behavioral and social sciences related to HIV/AIDS, my goal in applying for a Short-term Mentored Career Development Award (K-18) is to learn to employ hierarchical linear modeling/structural equation modeling analytic strategies to more comprehensively address the complexity of the dyadic data sets generated by my collaborative research on HIV prevention with couples. These analytic skills would then enable me to assess the interactive effects of trauma, substance use, sexual partners and HIV on health behavior and health outcomes and apply those results at the individual, couple and population level. To meaningfully apply these data at the population level also require the ability to utilize and collaboratively develop statistical methods for translational studies and public health models. The research project, "Longitudinal Dyadic Analysis of HIV-positive Substance Users with a Trauma History" addresses the role of a potential third variable (substance use and sexual partners) on risk behavior outcomes in response to interventions among men and women as couples in which one member or both may be substance users and have a history of sexual trauma. This project seeks to clarify the relationship between the influence of sexual partners, substance use and sexual trauma on risk behaviors utilizing longitudinal dyadic analysis within the Actor Partner Interdependence Model framework (APIM). Specifically, I propose the following educational and research goals to: 1. Learn how to apply the APIM (theoretical model) for interpreting couples behavior and their response to interventions using the associated longitudinal dyadic statistical techniques (analytic component) to analyze existing data sets. Additionally, I propose to conduct analyses on a research project to using an existing R01: 2. Address the interactive effects of trauma, substance use, sexual partners and HIV on health behavior and health outcomes at the individual, couple and population level, utilizing longitudinal multiple groups the Actor Partner Interdependence Model framework (APIM) for indistinguishable dyads 3. Gain skills in the use and development of public health models and analytic strategies for translational studies. The APIM, which applies complex techniques of longitudinal structural equation modeling to the analysis of couple dyads in group formats, addressing the relative influences of partners and mediating factors on risk behaviors, will enable me to acquire the critical skills to interpret dyadic data and provide me with a bridge to develop dyadic translational research models and methods for couples interventions. Support through the K18 will provide protected time to gain competence in dyadic and public health statistical methods and models, while my research collaborations provide the remaining 50% time during the period of the award. PUBLIC HEALTH RELEVANCE: As a mid-career investigator in applied behavioral and social sciences related to HIV/AIDS, my goal in applying for a Short-term Mentored Career Development Award (K-18) is to learn to employ hierarchical linear modeling/structural equation modeling analytic strategies to more adequately address the complexity of the dyadic data sets generated by my research on HIV prevention with couples. These datasets address the interactive effects of trauma, substance use, sexual partners and HIV on health behavior and health outcomes at the individual, couple and population level.

描述(由申请人提供)：作为一名与艾滋病毒/艾滋病相关的应用行为和社会科学的职业中期调查员，我申请短期指导职业发展奖(K-18)的目标是学习使用分层线性建模/结构方程建模分析策略，以更全面地处理我与夫妇在艾滋病毒预防方面的合作研究产生的二元数据集的复杂性。这些分析技能将使我能够评估创伤、药物使用、性伴侣和艾滋病毒对健康行为和健康结果的交互影响，并将这些结果应用于个人、夫妇和人群层面。要在人口层面有意义地应用这些数据，还需要有能力利用和协作开发用于转化性研究和公共卫生模型的统计方法。这项名为“对有创伤史的艾滋病毒阳性物质使用者的纵向二元分析”的研究项目探讨了潜在的第三个变量(物质使用和性伴侣)对风险行为结果的作用，以回应男女作为夫妻的干预措施，其中一人或两人可能是药物使用者并有性创伤病史。本项目试图通过行为者伙伴相互依赖模型框架(APIM)中的纵向二元分析来厘清性伴侣、药物使用和性创伤对危险行为的影响之间的关系。具体地说，我提出了以下教育和研究目标：1.学习如何应用APIM(理论模型)来解释夫妻行为以及他们对干预的反应，使用相关的纵向并元统计技术(分析成分)来分析现有的数据集。此外，我建议使用现有的R01：2对一个研究项目进行分析。在个人、夫妇和人群层面上解决创伤、药物使用、性伴侣和艾滋病毒对健康行为和健康结果的交互影响，利用纵向多群体行动者伙伴相互依赖模型框架(APIM)3.获得使用和开发公共卫生模型和分析策略的技能，用于翻译研究。APIM将复杂的纵向结构方程建模技术应用于群体形式的夫妻二元组分析，解决了伴侣和中介因素对风险行为的相对影响，将使我能够获得解释二元数据的关键技能，并为我开发夫妻干预的二元转换研究模型和方法提供桥梁。通过K18的支持将提供受保护的时间，以获得二元和公共卫生统计方法和模型方面的能力，而我的研究合作将在获奖期间提供剩余50%的时间。 公共卫生相关性：作为一名与艾滋病毒/艾滋病相关的应用行为和社会科学的职业中期调查员，我申请短期指导职业发展奖(K-18)的目标是学习使用分层线性建模/结构方程建模分析策略，以更充分地处理我对夫妇进行的艾滋病毒预防研究产生的二元数据集的复杂性。这些数据集阐述了创伤、药物使用、性伴侣和艾滋病毒对个人、夫妇和人口层面的健康行为和健康结果的交互影响。