FEASible: Sensing Factors of Environment, Activity, and Sleep to Validate Metabolic Health Burden Among Latina Women

可行：通过环境、活动和睡眠的传感因素来验证拉丁裔女性的代谢健康负担

• 批准号: 10639447
• 负责人: Darla M Castelli
• 金额: $ 73.32万
• 依托单位: UNIVERSITY OF TEXAS AT AUSTIN
• 依托单位国家: 美国
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-05-05 至 2028-04-30
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10639447
• 关键词: Address; Affect; Age; Air; Allergens; Behavior; Behavior Therapy; Behavioral; Biological Markers; Blood Glucose; Brain; C-reactive protein; COVID-19 pandemic; Calibration; Carbon Dioxide; Carbon Monoxide; Cause of Death; Cellular Phone; Cerebrum; Child; Cholesterol; Clinical; Clinical assessments; Cohort Studies; Complex; Data; Data Analyses; Devices; Discipline; Environment; Environmental Exposure; Environmental Hazards; Environmental Risk Factor; Family; Future; Gases; Glutamates; Goals; Health; Health Insurance; Health behavior; Heart Diseases; Home; Home environment; Hour; Humidity; Hypertension; Hypertriglyceridemia; Individual; Inflammation; Intervention; Latina; Latina Population; Living Wills; Location; Magnetic Resonance Imaging; Measurement; Measures; Mediating; Metabolic; Metabolic syndrome; Metabolism; Methods; Modeling; Monitor; N-acetylaspartate; National Heart, Lung, and Blood Institute; Nitrogen Oxides; Noise; Not Hispanic or Latino; Obesity; Outcome; Participant; Particulate Matter; Pathway Analysis; Peripheral; Physical activity; Physical assessment; Population; Prevalence; Prevention; Protocols documentation; Proxy; Public Health; Quality of life; Research; Rest; Risk; Sampling; Sleep; Sleep Disorders; Smog; System; Techniques; Telephone; Temperature; Testing; Underserved Population; Validation; White Matter Hyperintensity; Woman; cardiometabolism; cost; design; environmental monitoring device; experience; fine particles; fitbit; gray matter; health assessment; high risk; home test; human old age (65+); instrument; mobile sensing; mobile sensor; monitoring device; mortality; myoinositol; neuroimaging; novel; pharmacologic; pilot test; poor health outcome; prevent; protective factors; remote sensing; sensor; smart watch; smartphone application; synergism; ventilation; wearable sensor technology; white matter; young adult

PROJECT SUMMARY/ABSTRACT Passive sensing of Latina women's daily living experience as proxy measures of health risk must be brought to scale. We propose to validate the integrated measurements from Fitbits, smartphones, purpose-built environmental sensors (Beacon), GPS, and a purpose-built smartphone app (Hornsense), to assess physical activity, sleep, and environmental exposures as they relate to metabolic syndrome (MetS) and MetS-related brain vulnerability. We will develop a pipeline to create and interpret networks signifying how MetS relate to brain integrity in Latina women and identify which environmental factors contribute to increased risk for MetS. To achieve these goals, we synergize expertise from multiple disciplines, advance pilot data, and ground-truth novel integrated measures. First, it is essential to define how MetS risk manifests in this sample by identifying how MetS affects brain integrity in a subsample of Latina women compared to white women (n=225) and compare these methods to traditional clinical assessments of MetS (defined by AHA/NHLBI). Measures of cerebral metabolism (N-acetyl aspartate, NAA, myo-inositol, mI and glutamate, Glu) will form a network of risk and brain vulnerability. Daily living will be assessed in 1,000 women (60% Latina) through 30 days of dense sensing in the home environment. Participants will wear Fitbit Inspire devices and have the Hornsense app on their cell phones. Environmentally, we will validate the purpose-built Beacon, which measures environmental factors of particulate matter (PM2.5,- allergens that influence air quality), nitrogen oxides (NOx - gases within smog), carbon monoxide (CO) and carbon dioxide (CO2), temperature, relative humidity (RH), and amount of noise, first against research-grade reference instruments in well-controlled sleep chambers and smart test homes, and second in participant homes. During the dense sensing, Beacons and Personal Air Quality Monitor (PAM) will be placed in the bedroom and outside the home for one month. The 24 hours of activity, location, and all environmental values will be compared with MetS risk and MetS-related brain vulnerability because brain integrity is among the earliest markers of vulnerability, representing a high risk for poor health outcomes and quality of life in older age. Network analysis of these data will identify the critical central nodes of risk. Scaling our pilot sensing protocols will determine the feasibility and efficacy of integrated measurements of daily behavior, activity, sleep, and environmental attributes to predict MetS and MetS-related brain vulnerability in Latina women. Identifying valid strategies for targeting individual behaviors and contexts is essential for future prevention efforts to be designed with greater precision, particularly for Latina women.

项目摘要/摘要 必须提出对拉丁裔妇女的日常生活经验的被动感知，作为健康风险的代理措施 扩展。我们建议验证Fitbits，智能手机，专用构建的集成测量 环境传感器（信标），GPS和专用智能手机应用程序（Hornsense）评估物理 与代谢综合征（MetS）和Mets相关的活动，睡眠和环境暴露 大脑脆弱性。我们将开发一条管道来创建和解释网络，表示大都会与大脑的关系 拉丁裔妇女的完整性，并确定哪些环境因素有助于增加大都会的风险。 为了实现这些目标，我们从多个学科，提前的飞行员数据和地面真相中协同化专业知识 新颖的综合度量。首先，至关重 与白人女性相比（n = 225）和 将这些方法与MetS的传统临床评估（由AHA/NHLBI定义）进行比较。措施 大脑代谢（N-乙酰基天冬氨酸，NAA，肌醇，MI和谷氨酸，GLU）将形成风险网络 和大脑脆弱性。日常生活将在1,000名妇女（拉丁裔60％）中进行评估，直到30天 在家庭环境中感知。参与者将佩戴Fitbit Inspire设备，并在Hornsense应用程序上启用 他们的手机。在环境上，我们将验证专用的灯塔，该灯塔衡量环境 颗粒物的因素（PM2.5， - 影响空气质量的过敏原），氮氧化物（NOX-气体内的气体 烟雾），一氧化碳（CO）和二氧化碳（CO2），温度，相对湿度（RH）和量 噪音，首先针对良好控制的睡眠室和智能测试中的研究级参考仪器 房屋，第二位是参与者的住所。在密集的感应期间，信标和个人空气质量监视器期间 （PAM）将放置在卧室和房屋外面一个月。 24小时的活动，位置和 所有环境价值都将与Mets风险和与METS相关的大脑脆弱性进行比较，因为大脑 诚信是脆弱性最早的标志之一，代表了健康结果不良的高风险， 年龄较大的生活质量。这些数据的网络分析将确定风险的关键中心节点。 扩展我们的飞行员感应协议将确定综合测量的可行性和功效 每天的行为，活动，睡眠和环境属性，以预测与METS和METS相关的大脑脆弱性 在拉丁女性中。确定针对个人行为和环境的有效策略对于未来至关重要 预防努力以更高的精度设计，尤其是对于拉丁裔妇女。