Longitudinal Networks Core

纵向网络核心

• 批准号: 10377944
• 负责人: Bilal Khan
• 金额: $ 39.5万
• 依托单位: UNIVERSITY OF NEBRASKA LINCOLN
• 依托单位国家: 美国
• 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
• 来源: https://reporter.nih.gov/project-details/10377944
• 关键词: Address; Affect; Appalachian Region; Area; Attitude; Award; Back; Behavior; Behavioral; Biological Markers; Businesses; Centers of Research Excellence; Client; Clinical Research; Clinical Trials; Cognition; Cognitive; Cohort Studies; Collection; Computer software; Cross-Sectional Studies; Data; Data Collection; Decision Making; Development; Devices; Drug Addiction; Drug usage; Drug user; Ecological momentary assessment; Educational workshop; Electroencephalography; Emotional; Ensure; Epidemiology; Epigenetic Process; Etiology; Event; Fee-for-Service Plans; Foundations; Funding; Future; Goals; Health; Health behavior; Hepatitis C; Human Resources; Illicit Drugs; Individual; Intervention; Interview; Iowa; Kansas; Leadership; Link; Longitudinal Studies; Longitudinal cohort; Longitudinal cohort study; Measures; Medical; Methods; Missouri; Modeling; Nebraska; Neurosciences; Outcome; Participant; Periodicity; Persons; Pharmaceutical Preparations; Phase; Physical activity; Physiological; Population; Recovery; Research; Research Personnel; Research Project Grants; Resource Development; Resources; Risk; Rural; Rural Health; Rural drug addiction; Service delivery model; Services; Sleep; Social Network; Stigmatization; Stress; Substance abuse problem; System; Technology; Testing; Time; Translations; Universities; actigraphy; addiction; analytical tool; base; behavioral health; case control; cohort; cost; cost effective; data acquisition; data sharing; data streams; design; experience; fitbit; flexibility; follow-up; handheld mobile device; human subject; improved; inter-individual variation; mHealth; meetings; member; mobile computing; next generation; peer influence; prospective; recruit; simulation; smartphone Application; social; software development; success; technological innovation; urban area; user-friendly; wearable device

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