Longitudinal Networks Core
Longitudinal Networks Core
批准号:
10377944
负责人:
Bilal Khan
金额:
$39.5万
依托单位国家:
美国
项目类别:
财政年份:
2019
资助国家:
美国
项目状态:
已结题
起止时间:
2019-04-05 至 2024-02-29
关键词:
AddressAffectAppalachian RegionAreaAttitudeAwardBackBehaviorBehavioralBiological MarkersBusinessesCenters of Research ExcellenceClientClinical ResearchClinical TrialsCognitionCognitiveCohort StudiesCollectionComputer softwareCross-Sectional StudiesDataData CollectionDecision MakingDevelopmentDevicesDrug AddictionDrug usageDrug userEcological momentary assessmentEducational workshopElectroencephalographyEmotionalEnsureEpidemiologyEpigenetic ProcessEtiologyEventFee-for-Service PlansFoundationsFundingFutureGoalsHealthHealth behaviorHepatitis CHuman ResourcesIllicit DrugsIndividualInterventionInterviewIowaKansasLeadershipLinkLongitudinal StudiesLongitudinal cohortLongitudinal cohort studyMeasuresMedicalMethodsMissouriModelingNebraskaNeurosciencesOutcomeParticipantPeriodicityPersonsPharmaceutical PreparationsPhasePhysical activityPhysiologicalPopulationRecoveryResearchResearch PersonnelResearch Project GrantsResource DevelopmentResourcesRiskRuralRural HealthRural drug addictionService delivery modelServicesSleepSocial NetworkStigmatizationStressSubstance abuse problemSystemTechnologyTestingTimeTranslationsUniversitiesactigraphyaddictionanalytical toolbasebehavioral healthcase controlcohortcostcost effectivedata acquisitiondata sharingdata streamsdesignexperiencefitbitflexibilityfollow-uphandheld mobile devicehuman subjectimprovedinter-individual variationmHealthmeetingsmembermobile computingnext generationpeer influenceprospectiverecruitsimulationsmartphone Applicationsocialsoftware developmentsuccesstechnological innovationurban areauser-friendlywearable device
中文摘要
点击翻译按钮获取中文摘要
英文摘要
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.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
Mapping the co-evolution of Craving, Affect, Stressors, and Access to Alcohol (CASA) using responsive EMA
-
批准号:10196353
-
项目类别:
-
资助金额:$26.24万
-
财政年份:2021
-
负责人:Bilal Khan
-
依托单位:
Mapping the co-evolution of Craving, Affect, Stressors, and Access to Alcohol (CASA) using responsive EMA
-
批准号:10403674
-
项目类别:
-
资助金额:$14.58万
-
财政年份:2021
-
负责人:Bilal Khan
-
依托单位:
Longitudinal Networks Core
-
批准号:10117084
-
项目类别:
-
资助金额:$45.42万
-
财政年份:2019
-
负责人:Bilal Khan
-
依托单位:
Longitudinal Networks Core
-
批准号:9908116
-
项目类别:
-
资助金额:$49.44万
-
财政年份:--
-
负责人:Bilal Khan
-
依托单位:
海外基金