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

项目摘要/摘要 必须将对拉丁裔妇女日常生活经历的被动感知作为健康风险的替代措施 要扩大规模。我们建议验证来自Fitbit、智能手机、专门构建的 环境传感器(Beacon)、GPS和专门构建的智能手机应用程序(HornSense)，用于评估物理 活动、睡眠和环境暴露与代谢综合征(METS)和METS相关 大脑的脆弱性。我们将开发一个渠道来创建和解释Met与大脑相关的网络 调查拉丁裔女性的正直程度，并找出哪些环境因素会增加患大都会综合症的风险。 为了实现这些目标，我们整合了多个学科的专业知识，推进了试点数据和地面事实 新颖的综合措施。首先，必须通过确定以下内容来定义METS风险在本样本中的表现方式 在一组拉美裔女性和白人女性(n=225)中，Met如何影响大脑完整性 将这些方法与传统的蛋氨酸临床评估(由AHA/NHLBI定义)进行比较。衡量标准 大脑代谢(N-乙酰天冬氨酸，NAA，肌醇，MI和谷氨酸，Glu)将形成一个风险网络 以及大脑的脆弱性。1000名女性(60%是拉丁裔)将在30天的密集生活中进行日常生活评估 在家庭环境中进行感知。参与者将佩戴Fitbit Inspire设备，并打开HornSense应用程序 他们的手机。在环境方面，我们将验证专门建造的Beacon，它测量环境 颗粒物(PM2.5，-影响空气质量的过敏原)、氮氧化物(NOx-气体)的因素 烟雾)、一氧化碳(CO)和二氧化碳(CO2)、温度、相对湿度(RH)和 噪音，首先是在受控良好的睡眠室和智能测试中针对研究级参考仪器的 家庭，其次是参与家庭。在密集传感期间，信标和个人空气质量监测仪 (PAM)将被放置在卧室和户外一个月。24小时的活动、地点和 所有环境值都将与METS风险和METS相关的大脑脆弱性进行比较，因为大脑 正直是最早的脆弱性标志之一，代表着健康状况不佳的高风险 老年人的生活质量。对这些数据的网络分析将确定关键的风险中心节点。 扩大我们的试点传感方案将决定综合测量的可行性和有效性 日常行为、活动、睡眠和环境属性预测甲硫氨酸和甲硫氨酸相关的脑脆弱性 在拉丁裔女性中。确定针对个人行为和背景的有效策略对未来至关重要 预防工作将更精确地设计，特别是针对拉丁裔妇女。

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.