Using moment-to-moment sensors, mobile technology, and stimulated cytokine responses to identify physical and mental health risk among Alzheimer's spousal caregivers

使用即时传感器、移动技术和刺激的细胞因子反应来识别阿尔茨海默氏症配偶照顾者的身心健康风险

• 批准号: 10640997
• 负责人: Akane Sano
• 金额: $ 14.37万
• 依托单位: RICE UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-09-05 至 2025-05-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10640997
• 关键词: Adult; Aging; Alzheimer' s Disease; Alzheimer' s disease care; Alzheimer' s disease patient; Alzheimer' s disease related dementia; Award; Bayesian Analysis; Bayesian Modeling; Behavior; Behavioral; Biological; Biological Markers; Blood specimen; Cardiovascular Diseases; Caregivers; Cellular Phone; Chronic; Circadian Rhythms; Coping Skills; Coupling; Data; Data Analyses; Data Science; Dementia; Dementia caregivers; Development; Disease; Elderly; Engineering; Evidence based intervention; Galvanic Skin Response; Health; Health Technology; Heart Rate; Human; In Situ; Individual; Inflammation; Inflammatory; Intervention; Interview; Knowledge; Learning; Longitudinal Studies; Malignant Neoplasms; Measurement; Measures; Mental Health; Mentors; Mentorship; Methods; Modeling; Monitor; Moods; Non-Insulin-Dependent Diabetes Mellitus; Osteoporosis; Outcome; Parents; Participant; Patient Self-Report; Persons; Phenotype; Physical activity; Physiological; Physiology; Population; Predisposition; Premature aging syndrome; Process; Production; Psychoneuroimmunology; Public Health; Quality of life; Questionnaires; Research; Research Design; Research Personnel; Rheumatoid Arthritis; Risk; Risk Factors; Role; Science; Scientist; Sleep; Spouse Caregiver; Stress; Stress and Coping; Structure; Symptoms; System; Testing; Time; Training; Visit; adaptive intervention; age related; behavioral response; biobehavior; care giving burden; career; caregiver stress; caregiving; clinically significant; cost; cytokine; design; digital; disorder risk; eHealth; experience; handheld mobile device; health data; high risk; inflammatory marker; innovation; longitudinal design; mHealth; mobile computing; mobile sensing; mobile sensor; mortality; multilevel analysis; novel; physical conditioning; physiologic model; preference; prevent; promote resilience; protective factors; psychologic; research study; response; sensor; sensor technology; skills; stress reduction; technology development; therapy design; tool; wearable device; wearable sensor technology

ABSTRACT The proposed three-year K25 will launch Dr. Akane Sano’s independent research career in the field of aging and physical and mental health where she will endeavor to identify physical and mental health disease risks; understand the role of physiological and behavioral factors in physical and mental health outcomes; and leverage her engineering background to develop personalized health measurement and interventions using biobehavioral sensors and mobile technologies. In particular, Dr. Sano will address a gap in Alzheimer’s Disease (AD) research by studying how mobile sensors and technologies may help identify spousal caregivers’ health risk and reduce their stress while promoting resilience. Spousal caregivers of AD patients are a burgeoning population impacted by the stress of caretaking so much so that they are susceptible to devastating diseases, especially those related to inflammatory cytokines. Dr. Sano will attend to this public health concern via the following aims: Aim 1. Determine the relationships between caregivers’ daily moment-to-moment behaviors and physiological responses from mobile phones and wearable sensors, self-reported psychological and physiological health, and cytokine responses. Aim 2. Identify preferences, strategies, and barriers to design digital phenotyping tools and personalized mobile and/or wearable health interventions. Dr. Sano is an expert in quantitative analysis and modeling of physiological and behavioral mobile and wearable sensor data for mental health; however, she requires training to be an independent PI in biobehavioral, aging, and mobile health research to provide novel information about the mechanisms and predictors that underlie physical and mental health risks; yet, she must also procure interdisciplinary mentorship crucially in (1) understanding biobehavioral mechanisms that underlie physical and health and disease in older adulthood, including psychoneuroimmunology (PNI), (2) understanding aging and dementia, and acquiring expertise required for developing digital phenotyping and interventions for older adult dementia spousal caregivers, and (3) advanced longitudinal and Bayesian statistical/modelling methods. Coupling mentorship and her expertise, Dr. Sano proposes a study that will identify physiological and behavioral responses and content for interventions. During the award period, Dr. Sano will 1) collect data for one month via a study of 110 spousal caregivers using wearable sensors and smartphones to measure physical activity/sleep, heart rate, skin conductance, and self-reported mood and stress; 2) sample blood at baseline and post 6-month visits; and 3) conduct a qualitative interview about caregivers’ experience, needs, and stress coping strategies for a subset of the participants after the 6-month visits. Drawing on Dr. Sano’s expertise in human sensing, data analysis, and application development for health while leveraging the mentorship of a team at the forefront of aging and biobehavioral science, the proposed research and training will equip Dr. Sano with extensive knowledge of biobehavioral mechanisms in stress, physical and mental health in older adulthood, aging and dementia, and the skills to devote her career to studying biobehavioral health risks and contributing factors while developing real-time intervention strategies using mobile technologies in older adulthood and caregiving.

抽象的 拟议的三年K25将启动Akane Sano博士在衰老和身体领域的独立研究生涯 和心理健康，她将努力确定身心健康疾病的风险；了解 身体和心理健康成果中的身体和行为因素；并利用她的工程背景 使用生物行为传感器和移动技术开发个性化的健康测量和干预措施。 特别是，萨诺博士将通过研究移动传感器和如何研究阿尔茨海默氏病（AD）研究的差距 技术可能有助于确定配偶护理人员的健康风险，并在促进韧性的同时减轻压力。配偶 广告患者的护理人员是一个受到护理压力的影响，以至于他们是 容易受到毁灭性疾病的影响，尤其是与炎性细胞因子有关的疾病。 Sano博士将向这个公众聚会 通过以下目的进行健康关注： 目标1。确定看护人的日常瞬间行为与身体反应之间的关系 来自手机和可穿戴传感器，自我报告的心理和身体健康以及细胞因子反应。 目标2。确定设计数字表型工具以及个性化移动和/或的偏好，策略和障碍 可穿戴健康干预措施。 Sano博士是对物理和行为移动和可穿戴传感器的定量分析和建模专家 心理健康数据；但是，她要求培训成为生物行为，衰老和移动健康的独立PI 研究提供有关身体和心理健康风险构成的机制和预测因素的新信息； 然而，她还必须在（1）了解生物行为机制中采取跨学科的心态 老年人的身体和健康和疾病的基础，包括PsychOneuromummunology（PNI），（2）理解 衰老和痴呆症以及为老年人开发数字表型和干预所需的专业知识 痴呆症配偶护理人员，以及（3）晚期纵向和贝叶斯统计/建模方法。耦合 Sano博士提出了一项研究，该研究将确定生理和行为反应，并 干预措施的内容。在奖励期内，Sano博士将1）通过对110配偶的研究收集一个月的数据 护理人员使用可穿戴传感器和智能手机来测量体育锻炼/睡眠，心率，皮肤电导以及 自我报告的情绪和压力； 2）在基线和6个月后访问时采样血液； 3）进行定性采访 关于护理人员在6个月访问后为参与者的一部分参与者的经验，需求和强调应对策略。 利用Sano博士在人类感应，数据分析和健康应用程序中的专业知识，同时利用健康 在衰老和生物行为科学的最前沿的团队的精神制度，拟议的研究和培训将配备 Sano博士对年龄较大的压力，身心健康的生物行为机制有广泛的了解， 衰老和痴呆症，以及将职业生涯致力于研究生物行为的健康风险和促成因素的技能 在较早的成年和护理中使用移动技术制定实时干预策略。