Digital multidomain lifestyle intervention to address cognitive health and modifiable risk factors for Alzheimer's disease
数字多领域生活方式干预,以解决认知健康和阿尔茨海默病的可改变危险因素
基本信息
- 批准号:10213651
- 负责人:
- 金额:$ 98.69万
- 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:2019-04-01 至 2023-06-30
- 项目状态:已结题
- 来源:
- 关键词:AddressAdherenceAdoptionAdultAffectAgeAlzheimer&aposs DiseaseAlzheimer&aposs disease diagnosisAlzheimer&aposs disease riskAndroidAnxietyBehaviorBehavioralBiological MarkersClinicalCognitionCognitiveDementiaDevicesDiagnosisDietElderlyFeedbackHealthHealth ProfessionalHealth educationImpaired cognitionInterventionInterviewLife StyleMeasuresMemoryModelingOnset of illnessOutcomeParticipantPerformancePersonsPhasePhysical FunctionPhysical activityPilot ProjectsPopulationPopulations at RiskPreventionProtocols documentationPublic HealthQuality of lifeRandomizedRandomized Controlled TrialsRecommendationRiskRisk BehaviorsRisk FactorsRisk ManagementRisk ReductionSleepSmall Business Innovation Research GrantSmokingStructureTechnologyTestingTimeUpdateVisualanxiety symptomsarmbehavior changecardiovascular risk factorcommercializationcomparison interventioncostdepressive symptomsdesigndigitaldigital healthdigital interventiondigital treatmentdisorder riskeffective interventionefficacy testinghandheld mobile deviceimprovedintervention costlifestyle interventionmobile applicationmodifiable riskmultiple chronic conditionsnutritionpilot trialpreferencepreservationpreventprogramsprotective factorsrecruitreduce symptomssmartphone Applicationstress managementsuccessusability
项目摘要
PROJECT SUMMARY—Alzheimer’s Disease (AD) is expected to affect 131 million people worldwide by 2050,
but as many as one-third of these cases may be prevented by targeting modifiable risk factors such as diet,
physical activity, cognitive engagement, and smoking. Neurotrack Technologies, Inc. has developed a digital
multi-domain lifestyle intervention for cognitive health designed to change behaviors associated with increased
risk for AD. In a pilot study, this intervention supported significant behavior changes in multiple lifestyle domains,
reduced depressive and anxiety symptoms, and improved performance on a composite measure of cognition.
This digital intervention addresses the challenge of scaling effective multidomain lifestyle interventions
for cognitive health and has the potential to improve risk behaviors and delay or reduce cognitive decline
in older adults at-risk for AD. Robust trials of multi-domain risk reduction interventions have demonstrated an
ability to reduce the rate of cognitive decline, multimorbidity, and cognitive impairment. However, scalability is
limited by cost, intensity of the intervention, number and diversity of healthcare professionals required, and
participant inconvenience. Thus, a lower cost, easier-to-disseminate version would have the potential for high
impact on public health, and digital interventions hold great promise for addressing this need. Neurotrack’s
digital cognitive health program modeled on the landmark FINGER protocol provides structured, semi-tailored
support for behavioral change across multiple domains through a mobile app and on-demand health coaching.
This Fast Track SBIR is designed to refine the digital platform (Phase I) and conduct a randomized controlled
trial (Phase II). PHASE I – Aim. Refine Neurotrack’s digital multi-domain lifestyle intervention interface
and content delivery to optimize adoption, engagement, and adherence. User testing will provide
information to improve design and delivery (≥ 80% of testers achieve 100% Task Success Rate), and the app
will be replicated for delivery on Android devices (Android app passes 100% of functionality / bug checks.).
PHASE II – Aim 1. Determine the effect of a two-year digital multi-domain AD risk reduction intervention
on composite risk for AD in older adults at risk of developing AD. Aim 2. Determine the effect on the rate
of cognitive decline. Aim 3. Determine the effect on change in general health outcomes. The Digital
Cognitive Multi-domain Alzheimer’s Risk Velocity (DC MARVEL) trial will include 200 at-risk adults age 45-64
randomized to a two-year Memory Health Program (MHP) or digital health education protocol control. Endpoints
will be assessed at baseline, 4, 12, and 24 months. Milestones: At 24 months, between groups difference of 1)
≥ 2.0-pt on ANU-ADRI and 2) ≥ 3.3-pt on RBANS; and 3) change ≥ the minimal clinically important difference on
biomarkers, functional measures, and behavioral / quality of life measures for MHP from baseline to 24 months.
This Fast Track SBIR has the potential for high impact by determining whether a broadly disseminable digital
program can slow cognitive decline in at-risk participants to ultimately delay or prevent AD onset.
项目摘要——预计到 2050 年,阿尔茨海默病 (AD) 将影响全球 1.31 亿人,
但多达三分之一的病例可以通过针对可改变的风险因素(例如饮食、
Neurotrack Technologies, Inc. 开发了一种数字化方法。
针对认知健康的多领域生活方式干预旨在改变与增加相关的行为
在一项试点研究中,这种干预支持了多个生活方式领域的显着行为改变,
减少抑郁和焦虑症状,并提高综合认知测量的表现。
这种数字干预解决了扩大有效的多领域生活方式干预的挑战
有利于认知健康,并有可能改善危险行为并延缓或减少衰退
对有 AD 风险的老年人进行的多领域风险降低干预措施的稳健试验已得到证实。
降低认知能力下降、多发病和认知障碍发生率的能力 然而,可扩展性是有限的。
受到成本、干预强度、所需医疗保健专业人员的数量和多样性的限制,以及
因此,成本更低、更容易传播的版本可能会带来更高的收益。
对公共卫生的影响,而数字干预措施为满足这一需求带来了巨大希望。
以具有里程碑意义的 FINGER 协议为蓝本的数字认知健康计划提供结构化、半定制的
通过移动应用程序和按需健康指导支持跨多个领域的行为改变。
该快速通道 SBIR 旨在完善数字平台(第一阶段)并进行随机控制
试验(第一阶段)——优化 Neurotrack 的数字多领域生活方式干预界面。
和内容交付以优化采用、参与和遵守。
改进设计和交付的信息(≥ 80% 的测试人员实现 100% 任务成功率),以及应用程序
将被复制以在 Android 设备上交付(Android 应用程序通过 100% 的功能/错误检查。)。
第二阶段 – 目标 1. 确定为期两年的数字多领域 AD 风险降低干预措施的效果
目标 2. 确定对 AD 发生率的影响。
目标 3. 确定对总体健康结果变化的影响。
认知多域阿尔茨海默病风险速度 (DC MARVEL) 试验将包括 200 名 45-64 岁的高危成年人
随机接受为期两年的记忆健康计划 (MHP) 或数字健康教育方案对照。
将在基线、4、12 和 24 个月时进行评估 里程碑:24 个月时,组间差异为 1)。
ANU-ADRI ≥ 2.0-pt,2) RBANS ≥ 3.3-pt;以及 3) 变化 ≥ 最小重要差异
MHP 从基线到 24 个月的生物标志物、功能测量和行为/生活质量测量。
该快速通道 SBIR 通过确定是否可广泛传播的数字化技术,具有产生巨大影响的潜力。
该计划可以减缓高危参与者的认知能力下降,最终延迟或预防 AD 的发作。
项目成果
期刊论文数量(0)
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{{ truncateString('Jordan Glenn', 18)}}的其他基金
Digital multidomain lifestyle intervention to address cognitive health and modifiable risk factors for Alzheimer's disease
数字多领域生活方式干预,以解决认知健康和阿尔茨海默病的可改变危险因素
- 批准号:
10456305 - 财政年份:2019
- 资助金额:
$ 98.69万 - 项目类别:
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