Longitudinal Characterization of Nutritional Behavior Using Unobtrusive Digital Technology in Aging, Alzheimer's and Related Disorders

使用不显眼的数字技术对衰老、阿尔茨海默病和相关疾病的营养行为进行纵向表征

• 批准号: 10369909
• 负责人: Kirsten Wright
• 金额: $ 15.86万
• 依托单位: OREGON HEALTH & SCIENCE UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-09-30 至 2027-06-30
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10369909
• 关键词: Activities of Daily Living; Address; Affect; Age; Aging; Alzheimer' s Disease; Alzheimer' s disease related dementia; Alzheimer' s disease risk; Area; Assessment tool; Award; Behavior; Behavioral; Biological Markers; Biology of Aging; Body Weight decreased; Clinic Visits; Clinical; Cognition; Cognitive; Data; Data Reporting; Dementia; Desire for food; Development; Diet Habits; Dietary Practices; Dietary intake; Disease; Educational workshop; Elderly; Enrollment; Evaluation; Fingerprint; Food; Future; Generations; Geriatrics; Gerontology; Goals; Health; Home; Hospitalization; Impaired cognition; Individual; Infrastructure; Institutionalization; Intake; International; Intervention; Intervention Trial; Laboratories; Learning; Life; Life Style; Link; Longitudinal Studies; Malnutrition; Measurable; Measurement; Measures; Memory Loss; Mental Depression; Mentors; Methods; Nutrient; Nutrition Assessment; Nutritional; Oregon; Outcome; Outcome Measure; Participant; Patient Self-Report; Patients; Pattern; Persons; Prevention strategy; Questionnaires; Reporting; Research; Research Project Grants; Research Training; Risk; Severity of illness; Statistical Data Interpretation; Symptoms; System; Techniques; Technology; Testing; Time; Training; Training Programs; age related; aging and technology; base; behavioral study; career; cognitive capacity; cognitive function; cognitive performance; cohort; dementia risk; design; dietary; dietary supplements; digital; experience; frailty; functional independence; functional loss; functional outcomes; improved; individual variation; innovation; meetings; mild cognitive impairment; mortality; multimodality; non-invasive system; novel; novel strategies; nutrition; peer; preservation; programs; sensor; skills; systems research; tool; training opportunity; treatment strategy; wearable sensor technology

PROJECT SUMMARY Changes in dietary behavior and weight loss have been linked to malnutrition and to the onset of dementia; however, current assessment tools are not designed to detect subtle prodromal changes in behavior that can occur up to six years prior to symptom onset. With an estimated global burden of 107 million dementia cases by 2050, there is a critical need for objective assessment tools to identify changes in food-related behavior and associated function that could be predictive of Alzheimer’s disease and related disorders (ADRD). The overall goal of this project is to address this critical need through the proposed research and mentored training of the applicant. The Life Laboratory Assessment Platform (Life Lab) is a paradigm shift towards studying the behav- iors and patterns of change among individuals using in-home, unobtrusive, objective, and ecologically-valid measurements in real time (pervasive computing, sensors, and other technologies). The platform is part of the Oregon Center for Aging and Technology under the direction of Dr. Kaye (proposed primary mentor) who is currently deploying the platform in homes of older adults, a portion of whom have mild cognitive impairment (MCI) and early-stage dementia. The proposed research takes the Life Lab into a novel research space by col- lecting objective measures of dietary behavior. The scientific goals of this proposal are to identify feasible digi- tal measures of longitudinal dietary behavior, compare automated, home-based system outcome measures to current conventional outcome measures, and detect composite objective functional outcome metrics and ob- jective behavioral-functional signatures of malnourished patients. Intensive longitudinal data (daily, weekly and quarterly assessments for up to 18 months) from 80 participants (mild cognitive impairment, early AD, and age- matched peers) currently enrolled in Life Lab projects will be used to characterize longitudinal body mass fluc- tuations, and identify viable digital measures of food seeking behavior and sustained dietary supplement intake providing a baseline of activities and behaviors to contrast for future trials. The applicant will gain a new set of skills in order to conduct the proposed study and prepare for an independent research career by training in (1) clinical geriatrics, gerontology and aging biology, (2) design and statistical analysis of data-rich research ap- proaches using digital technology, and (3) acquiring nutrition data from older adults using technology. The pro- posed team of mentors each provide expertise in one or more of these areas and are committed to collabora- tively facilitating the applicant’s training. The detailed training plan contains multi-modal learning (e.g. formal coursework, seminars, and workshops; application-based training; and national and international scientific meetings). The applicant will apply these new skills to the proposed research project and obtain R01/R61 sup- port to conduct longitudinal studies using digital biomarkers to identify prodromal changes in dietary behavior and to develop effective single and multi-domain lifestyle and non-pharmaceutical interventions for maintaining functional independence and improving cognition in older adults with or at risk for ADRD.

项目概要 饮食行为的改变和体重减轻与营养不良和痴呆症的发病有关； 然而，当前的评估工具并非旨在检测行为的微妙前驱变化，这些变化可以 发生在症状出现前六年，估计全球有 1.07 亿痴呆病例。 到 2050 年，迫切需要客观的评估工具来识别与食品相关的行为和行为的变化 相关功能可以预测阿尔茨海默病和相关疾病（ADRD）。 该项目的目标是通过拟议的研究和指导培训来满足这一迫切需求 生命实验室评估平台（生命实验室）是研究行为的范式转变。 个人使用家庭、不引人注目、客观且生态有效的情况和变化模式 实时测量（普适计算、传感器和其他技术）。 俄勒冈老龄化与技术中心由 Kaye 博士（拟议的主要导师）指导，他是 目前该平台正在老年人家中部署，其中一部分患有轻度障碍 （MCI）和早期痴呆症。拟议的研究将生命实验室带入了一个新颖的研究空间。 选择饮食行为的客观衡量标准 该提案的科学目标是确定可行的数字。 纵向饮食行为的总体测量，比较自动化的、基于家庭的系统结果测量 当前的常规结果测量，并检测复合目标功能结果指标和观察结果 营养不良患者的客观行为功能特征（每日、每周和每周）。 来自 80 名参与者（轻度认知障碍、早期 AD 和年龄相关）的季度评估（长达 18 个月） 目前参加生命实验室项目的匹配同行）将用于表征纵向体重波动 调整，并确定食物寻求行为和持续膳食补充剂摄入量的可行数字测量 提供活动和行为的基线，以便与未来的试验进行对比。申请人将获得一组新的活动和行为的基线。 通过以下方面的培训进行拟议研究并为独立研究生涯做好准备的技能：（1） 临床老年病学、老年学和衰老生物学，（2）数据丰富的研究应用程序的设计和统计分析 使用数字技术进行教学，(3) 使用技术从老年人那里获取营养数据。 导师团队中的每一位都提供一个或多个这些领域的专业知识，并致力于合作 积极促进申请人的培训。详细的培训计划包含多模式学习（例如 课程、研讨会和讲习班；以及国内和国际科学培训； 会议）申请人将把这些新技能应用到拟议的研究项目中并获得R01/R61支持。 使用数字生物标志物进行纵向研究的端口，以确定饮食行为的前驱变化 并制定有效的单领域和多领域生活方式和非药物干预措施以维持 功能独立并改善患有 ADRD 或有 ADRD 风险的老年人的认知能力。