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.

项目摘要 饮食行为和体重减轻的变化与营养不良以及痴呆症的发作有关。 但是，当前的评估工具并非旨在检测行为的细微前驱动物变化 在症状发作之前长达六年。估计全球烧伤为1.07亿个痴呆症病例 到2050年，至关重要的是客观评估工具，以确定与食物相关行为的变化和 可以预测阿尔茨海默氏病和相关疾病（ADRD）的相关功能。总体 该项目的目标是通过拟议的研究来满足这一关键需求，并修复了对 申请人。生命实验室评估平台（Life Lab）是研究行为的范式转变 IORS和使用家庭，不显而易见的，客观和生态valid的个人之间的变革模式 实时测量（普遍计算，传感器和其他技术）。该平台是 俄勒冈州老化和技术中心在Kaye博士（拟议的主要导师）的指导下 目前将平台部署在老年人的家庭中，其中一部分患有轻度认知障碍 （MCI）和早期痴呆症。拟议的研究将生命实验室带入了一个新的研究空间 饮食行为的客观措施。该提案的科学目标是确定可行的数字 纵向饮食行为的TAL测量，比较自动化的，基于家庭的系统结果指标 当前的常规结局措施，并检测复合目标功能结果指标和OB- 密集的纵向数据（每日，每周和 来自80名参与者的季度评估长达18个月）（轻度认知障碍，早期AD和年龄 - 匹配的同伴）当前参加生命实验室项目将用于表征纵向体重弹性的表征 发电，并确定可行的数字措施寻求食物行为和持续的饮食补充摄入量 为将来的试验提供了活动和行为的基准和行为。申请人将获得一套新的 为了进行拟议的研究，并通过（1）中的培训为独立研究职业做准备的技能 临床老年医学，老年生物学和衰老生物学，（2）数据丰富的研究的设计和统计分析 使用数字技术和（3）使用技术从老年人那里获得营养数据。专业人士 摆姿势的导师团队各自提供这些领域中一个或多个的专业知识，并致力于合作 支持申请人的培训。详细的培训计划包含多模式学习（例如公式 课程，半小伙和讲习班；基于申请的培训；以及国家和国际科学 会议）。申请人将将这些新技能应用于拟议的研究项目，并获得R01/R61 SUP- 使用数字生物标志物进行纵向研究以识别饮食行为的前途变化 并开发有效的单一和多域生活方式和非药物干预措施来维护 具有ADRD风险或有风险的老年人的功能独立性和改善认知。