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

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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.