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

摘要 拟议的三年K25将启动Akane佐野博士在衰老和身体领域的独立研究生涯 和心理健康，她将奋进确定身体和心理健康疾病的风险;了解的作用， 生理和行为因素在身体和心理健康的结果;并利用她的工程背景， 使用生物行为传感器和移动的技术开发个性化的健康测量和干预措施。在 特别是，佐野博士将通过研究移动的传感器和 技术可能有助于识别配偶照顾者的健康风险，并在提高复原力的同时减轻他们的压力。配偶 AD患者的照顾者是一个新兴的人群，他们受到照顾压力的影响，以至于他们 易患毁灭性疾病，尤其是与炎性细胞因子有关的疾病。佐野博士将出席这次公众 通过以下目标关注健康： 目标1。确定照顾者的日常行为与生理反应之间的关系 来自移动的电话和可穿戴传感器、自我报告的心理和生理健康以及细胞因子反应。 目标2.识别设计数字表型分析工具和个性化移动的和/或 可穿戴健康干预措施。 博士佐野是生理和行为移动的和可穿戴传感器定量分析和建模的专家 心理健康数据;但是，她需要接受培训，成为生物行为、老龄化和移动的健康方面的独立PI 研究提供有关生理和心理健康风险的机制和预测因素的新信息; 然而，她还必须获得跨学科的指导，关键是（1）理解生物行为机制， 构成老年人身体、健康和疾病的基础，包括心理神经免疫学（PNI），（2）理解 衰老和痴呆症，并获得为老年人开发数字表型和干预措施所需的专业知识 痴呆配偶照顾者，和（3）先进的纵向和贝叶斯统计/建模方法。耦合 导师和她的专业知识，佐野博士提出了一项研究，将确定生理和行为反应， 干预的内容。在奖励期间，佐野博士将1）通过对110名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测量身体活动/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个月访视后采集血样; 3）进行定性访谈 关于照顾者的经验，需求和压力应对策略的一个子集的参与者后，6个月的访问。 利用佐野博士在人体感知、数据分析和健康应用开发方面的专业知识， 在老龄化和生物行为科学的前沿团队的指导，拟议的研究和培训将装备 博士佐野对老年人压力、身心健康的生物行为机制有着广泛的了解， 衰老和痴呆症，以及致力于研究生物行为健康风险和影响因素的技能， 利用移动的技术制定老年人和老年人的实时干预战略。

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.