Web-enabled social interaction to delay cognitive decline among seniors with MCI: Phase I
基于网络的社交互动可延缓 MCI 老年人认知能力下降:第一阶段
基本信息
- 批准号:9348726
- 负责人:
- 金额:$ 58.12万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2016
- 资助国家:美国
- 起止时间:2016-09-15 至 2017-06-30
- 项目状态:已结题
- 来源:
- 关键词:AdherenceAdvanced DevelopmentAgeAged, 80 and overAgingAlgorithmsAlzheimer&aposs DiseaseAmygdaloid structureAreaBrainBrain imagingCharacteristicsCognitionCognitiveCommunicationCommunitiesControl GroupsCross-Sectional StudiesDementiaDeveloped CountriesDiffusion Magnetic Resonance ImagingElderlyEpidemiologic StudiesEpisodic memoryFaceFeasibility StudiesFillerFunctional Magnetic Resonance ImagingFundingFutureHealthHome environmentImpaired cognitionIncidenceInternetInterventionInterviewerLanguageLeadLocationLonelinessLow incomeMagnetic Resonance ImagingMeals on WheelsMedication ManagementMichiganMonitorMoodsOregonOutcomeOutcome MeasureParticipantPersonal ComputersPersonal SatisfactionPersonsPhasePilot ProjectsPopulationPrevalencePreventionPrevention approachProtocols documentationPublic HealthRandomizedRecruitment ActivityResearch Project GrantsRestRisk FactorsSample SizeSamplingSocial InteractionSocial NetworkSocial isolationSpeechSpeedStructureStructure of superior temporal sulcusTechnologyTelephoneTemporal SulcusTimeTrainingTreatment EfficacyUnited States National Institutes of Healthagedaging populationbasebehavioral clinical trialbrain sizecognitive functioncostcost effectiveefficacy trialethnic minority populationexecutive functiongroup interventionhigh riskimprovedinclusion criteriainstrumental activity of daily livingintervention effectmild cognitive impairmentmorphometryphase 1 studyphase I trialprimary outcomepsychologicsecondary outcomesocialtouchscreenuser-friendlyweb-enabledweek trial
项目摘要
Larger social networks and/or more frequent social interactions are associated with lower incidence of AD. At
the population level; increasing social interaction may be a promising intervention for improving the cognitive
well-being of older adults. In our previous randomized controlled behavioral clinical trial, we developed a
conversation-based social interaction cognitive stimulation protocol delivered by trained interviewers through
personal computers, webcams, and a user-friendly interactive Internet interface with a touch screen
(ClinicalTrials.gov:NCT01571427). Daily 30-minute face-to-face communications were conducted over a 6-
week trial period in the intervention group, while control subjects received weekly phone contacts. Despite a
small sample size, this feasibility study demonstrated high adherence in an elderly population (mean age 80
years) and some efficacy in language-based executive functions and psychomotor speed. Based upon these
positive results, we propose a Phase I trial to advance development of this intervention. Primary aim (Aim 1)
is to examine the efficacy of our intervention on cognitive functions among the target group - those aged 80
and older with MCI and limited opportunities of social interactions. Our two primary outcomes are cognitive
functions in the domains of executive function and episodic memory using composite scores, and a secondary
outcome is a targeted IADL function (medication management). Psychological well-being (mood, loneliness)
and person-specific levels of social interactions (i.e., average conversation outside of the trial) will be
monitored and controlled in the analyses. Exploratory Aim 2 is to examine whether the intervention could
lead to changes in speech characteristics over time by analyzing recorded daily conversational sessions,
based on our promising cross-sectional findings in this area. Exploratory Aim 3 is to examine underlying
mechanisms of efficacy by assessing pre- and post- trial changes in amygdala volume and other ROIs using
MRI and unbiased whole brain assessment (voxel-based morphometry), and structural and functional
connectivity between amygdala and superior temporal sulcus using diffusion tensor imaging (DTI) and resting
state fMRI (R-fMRI). A total of 144 MCI subjects will be recruited at Portland, Oregon, and Detroit, Michigan,
collaborating with Meals on Wheels and Area Agency on Aging (AAA) at both locations, creating a large
sampling frame of those with low income and from ethnic minorities. Approximately half of the participants will
be randomly selected and invited to participate in the brain imaging study. Increasing daily social contact
through communication technologies could offer a cost-effective home-based prevention that could slow
cognitive decline, delay the onset of AD, and thereby reduce the overall societal burden of dementia. The
oldest old is the fastest growing segment of the population in most developed countries and faces the highest
risk of developing dementia and social isolation (risk factors of adverse health outcomes). User-friendly,
sustainable prevention approaches, as sought here, are urgently needed in this population.
更大的社交网络和/或更频繁的社交互动与AD的发病率较低相关。在
人口水平;增加社会互动可能是改善认知能力的有希望的干预措施。
老年人的幸福。在我们之前的随机对照行为临床试验中,我们开发了一种
基于对话的社交互动认知刺激协议,由经过培训的面试官通过
个人电脑、网络摄像头和带有触摸屏的用户友好交互式互联网界面
(ClinicalTrials.gov:NCT 01571427)。每天进行30分钟的面对面交流,
干预组有一周的试验期,而对照组受试者每周接受电话联系。尽管
样本量小,该可行性研究证明老年人群(平均年龄80
年)和一些基于语言的执行功能和心理速度的功效。基于这些
积极的结果,我们提出了一个I期试验,以促进这种干预的发展。目标1(Aim 1)
是检验我们的干预措施对目标群体--80岁的人--认知功能的有效性
和年龄较大的MCI和有限的社会交往的机会。我们的两个主要成果是认知
使用复合分数,在执行功能和情景记忆领域中的功能,以及次要的
结果是有针对性的IADL功能(药物管理)。心理健康(情绪、孤独)
和个人特定的社会互动水平(即,在试验之外的平均对话)将是
在分析中进行监控。探索性目标2是检查干预是否可以
通过分析记录的日常会话会话导致语音特征随时间的变化,
基于我们在这一领域有希望的横向研究结果。探索性目标3是检查潜在的
通过评估试验前后杏仁核体积和其他ROI的变化,
MRI和无偏倚的全脑评估(基于体素的形态测量学),以及结构和功能
利用扩散张量成像(DTI)和静息状态研究杏仁核和上级颞沟之间的连接
状态fMRI(R-fMRI)。总共将在俄勒冈州的波特兰和密歇根州的底特律招募144名MCI受试者,
与两个地点的Meals on Wheels和Area Agency on Aging(AAA)合作,
低收入者和少数族裔的抽样框架。大约一半的参与者将
被随机挑选并被邀请参加脑成像研究。增加日常社会接触
通过通信技术可以提供一种具有成本效益的家庭预防,
认知能力下降,延迟AD的发作,从而减少痴呆的总体社会负担。的
在大多数发达国家,高龄老人是人口中增长最快的部分,
患痴呆症和社会孤立的风险(不良健康结果的风险因素)。用户友好,
迫切需要在这一人群中采取本报告所寻求的可持续预防办法。
项目成果
期刊论文数量(0)
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会议论文数量(0)
专利数量(0)
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HIROKO Hayama DODGE其他文献
HIROKO Hayama DODGE的其他文献
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{{ truncateString('HIROKO Hayama DODGE', 18)}}的其他基金
Identification of Mild Cognitive Impairment using Machine Learning from Language and Behavior Markers
使用机器学习从语言和行为标记识别轻度认知障碍
- 批准号:
10709094 - 财政年份:2021
- 资助金额:
$ 58.12万 - 项目类别:
Identification of Mild Cognitive Impairment using Machine Learning from Language and Behavior Markers
使用机器学习从语言和行为标记识别轻度认知障碍
- 批准号:
10212669 - 财政年份:2021
- 资助金额:
$ 58.12万 - 项目类别:
Web-enabled social interaction to delay cognitive decline among seniors with MCI: Phase I
基于网络的社交互动可延缓 MCI 老年人认知能力下降:第一阶段
- 批准号:
9311584 - 财政年份:2017
- 资助金额:
$ 58.12万 - 项目类别:
Web-enabled social interaction to delay cognitive decline among seniors with MCI: Phase I
基于网络的社交互动可延缓 MCI 老年人认知能力下降:第一阶段
- 批准号:
9898209 - 财政年份:2017
- 资助金额:
$ 58.12万 - 项目类别:
Web-enabled social interaction to delay cognitive decline among seniors with MCI: Phase I Administrative Supplement
基于网络的社交互动可延缓 MCI 老年人认知能力下降:第一阶段行政补充
- 批准号:
10363310 - 财政年份:2017
- 资助金额:
$ 58.12万 - 项目类别:
Web-enabled social interaction to delay cognitive decline among seniors with MCI: Phase I
基于网络的社交互动可延缓 MCI 老年人认知能力下降:第一阶段
- 批准号:
9930344 - 财政年份:2017
- 资助金额:
$ 58.12万 - 项目类别:
Conversational Engagement as a Means to Delay Onset AD: Phase II Administrative Supplement
对话参与作为延迟 AD 发作的一种手段:第二阶段行政补充
- 批准号:
10058784 - 财政年份:2016
- 资助金额:
$ 58.12万 - 项目类别:
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