Longitudinal Networks Core

纵向网络核心

基本信息

  • 批准号:
    10117084
  • 负责人:
  • 金额:
    $ 45.42万
  • 依托单位:
  • 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:
    2019-04-05 至 2024-02-29
  • 项目状态:
    已结题

项目摘要

PROJECT ABSTRACT The long-term goal of the Longitudinal Networks Core (LNC) is to enhance the fields of rural substance abuse research and mobile health interventions (mHealth) by offering longitudinal human subjects cohort study capacity to researchers across the Central Plains. To do this, LNC will make use of a cutting-edge cohort tracking and retention software—the Open Dynamic Interaction Network (ODIN) platform—developed by senior Rural Drug Addiction Research Center (RDAR) personnel. This software links data acquisition opportunities brought about by advances in mobile computing and quantified-self technologies with new analytic tools in a seamless, user- friendly, sustainable, and flexible manner. ODIN represents next generation software for both Ecological Momentary Assessment (EMA) and social network data collection—two cutting-edge areas in social and behavioral health research. In addition, ongoing expansion of the ODIN system allows for the integration of emerging mobile biomarker technology into the ODIN data stream, including Actigraph, Emotive EEG, Fitbit, and Empatica e4 wearables. These devices add functionality to collect large streaming data on physiological measures such as cognition, physical activity/sleep, and individual stress via epidermal conductance. Using the ODIN network and EMA platform, LNC will build and maintain a longitudinal Rural Drug User Cohort (RDUC) consisting of 600 drug users in Nebraska, Missouri, Iowa, and Kansas (Aim 1) in service to RDAR projects. The cohort study will involve initial interviews; long-term collection of contextual, continuous time interaction data; hepatitis C testing; and retention for interviews every six months. In this context, RDUC will serve as a strong resource platform and subject pool for a Center projects seeking to collect data on the behaviors, attitudes, biomarkers, and interactions of rural drug users to address critical questions related to rural addiction. Data from this shared cohort will drive the research strategies of Center projects spanning the areas of neuroscience, cognition and decision-making, simulation and epidemiology, epigenetics, and clinical research. In addition, LNC will support the recruitment of RDUC sub-sets for lab-based tests associated with RDAR projects and provide a foundation for future clinical trials for medically assisted addiction recovery drugs. During the period of COBRE Phase 1 funding, LNC will develop a sustainable service capacity for health-related, cohort-based research at the University of Nebraska (Aim 2), marking a significant advancement in regional health research and intervention capacity. To help ensure this, LNC will host an annual mHealth workshop to introduce researchers to the added capacity of ODIN and facilitate the translation of existing rural health interventions and addiction related interventions to the ODIN platform. Contingency plans for meeting initial RDAR projects’ data requirements (in the unlikely event of unexpected delays) are included to ensure overall Center success, and resources are available at the University of Nebraska for the development of a long-term business plan.
项目摘要 纵向网络核心(LNC)的长期目标是加强农村药物滥用领域 研究和移动的健康干预(mHealth),提供纵向人类受试者队列研究能力 向中原各地的研究人员为此,LNC将利用尖端的队列跟踪, 保留软件-开放动态交互网络(ODIN)平台-由高级农村药物开发 成瘾研究中心(RDAR)人员。此软件链接数据采集带来的机会 通过移动的计算和量化自我技术的进步, 友好,可持续和灵活的方式。Odin代表生态和环境的下一代软件 即时评估(EMA)和社交网络数据收集-社交和社交网络领域的两个前沿领域 行为健康研究此外,ODIN系统的不断扩展允许将 新兴的移动的生物标志物技术进入ODIN数据流,包括Actigraph,Emotive EEG,Fitbit, Empatica E4可穿戴设备。这些设备增加了收集生理上的大量流数据的功能, 通过表皮传导测量认知、身体活动/睡眠和个体压力。使用 ODIN网络和EMA平台,LNC将建立和维护一个纵向农村吸毒者队列(RDUC) 由内布拉斯加州、密苏里州、爱荷华州和堪萨斯(目标1)的600名吸毒者组成,为RDAR项目服务。的 队列研究将包括初步访谈;长期收集背景,连续时间的互动数据; 丙型肝炎检测;以及每六个月进行一次面谈。在这种情况下,RDUC将作为一个强大的 中心项目的资源平台和主题库,旨在收集有关行为,态度, 生物标志物和农村吸毒者的相互作用,以解决与农村吸毒成瘾有关的关键问题。数据从 这个共享的队列将推动跨越神经科学领域的中心项目的研究策略, 认知和决策、模拟和流行病学、表观遗传学和临床研究。此外,LNC 将支持招募RDUC子集,用于与RDAR项目相关的实验室测试,并提供 未来医学辅助成瘾康复药物临床试验基金会。在COBRE期间 第一阶段的资金,LNC将发展可持续的服务能力,为健康相关的,基于队列的研究, 内布拉斯加大学(目标2),标志着区域健康研究的重大进展, 干预能力。为了帮助确保这一点,LNC将举办年度移动健康研讨会,介绍研究人员 增加ODIN的能力,并促进现有的农村卫生干预措施和成瘾的转化 与ODIN平台相关的干预措施。满足初步RDAR项目数据的应急计划 包括要求(在不太可能发生意外延迟的情况下),以确保中心的整体成功,以及 内布拉斯加大学提供资源,用于制定长期商业计划。

项目成果

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Bilal Khan其他文献

Bilal Khan的其他文献

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{{ truncateString('Bilal Khan', 18)}}的其他基金

Mapping the co-evolution of Craving, Affect, Stressors, and Access to Alcohol (CASA) using responsive EMA
使用响应式 EMA 绘制渴望、情感、压力源和酒精获取 (CASA) 的共同演化
  • 批准号:
    10196353
  • 财政年份:
    2021
  • 资助金额:
    $ 45.42万
  • 项目类别:
Mapping the co-evolution of Craving, Affect, Stressors, and Access to Alcohol (CASA) using responsive EMA
使用响应式 EMA 绘制渴望、情感、压力源和酒精获取 (CASA) 的共同演化
  • 批准号:
    10403674
  • 财政年份:
    2021
  • 资助金额:
    $ 45.42万
  • 项目类别:
Longitudinal Networks Core
纵向网络核心
  • 批准号:
    10377944
  • 财政年份:
    2019
  • 资助金额:
    $ 45.42万
  • 项目类别:
Longitudinal Networks Core
纵向网络核心
  • 批准号:
    9908116
  • 财政年份:
  • 资助金额:
    $ 45.42万
  • 项目类别:

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