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Principal Investigator: Darla M Castelli
Organization: UNIVERSITY OF TEXAS AT AUSTIN
Fiscal Year: 2024
Award: $689,124
Funding agency: National Heart Lung and Blood Institute
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.
Terms: <0-11 years old><65 and older><65 or older><65 years of age and older><65 years of age or more><65 years of age or older><65+ years><65+ years old><> 65 years><Address><Affect><Age><Aged 65 and Over><Air><Allergens><Android App><Android Application><Behavior><Behavior Conditioning Therapy><Behavior Modification><Behavior Therapy><Behavior Treatment><Behavioral><Behavioral Conditioning Therapy><Behavioral Modification><Behavioral Therapy><Behavioral Treatment><Biological Markers><Blood Glucose><Blood Sugar><Brain><Brain Nervous System><C-reactive protein><CO2><COVID crisis><COVID epidemic><COVID pandemic><COVID-19 crisis><COVID-19 epidemic><COVID-19 era><COVID-19 global health crisis><COVID-19 global pandemic><COVID-19 health crisis><COVID-19 pandemic><COVID-19 period><COVID-19 public health crisis><COVID-19 years><Calibration><Carbon Dioxide><Carbon Monoxide><Carbonic Anhydride><Cardiac Diseases><Cardiac Disorders><Caucasian Females><Caucasian Women><Cause of Death><Cell Phone><Cell Phone Application><Cell phone App><Cellular Phone><Cellular Phone App><Cellular Phone Application><Cellular Telephone><Cerebrum><Child><Child Youth><Children (0-21)><Cholesterol><Clinical><Clinical assessments><Cohort Studies><Complex><Concurrent Studies><Conditioning Therapy><Data><Data Analyses><Data Analysis><Death Rate><Devices><Discipline><Encephalon><Environment><Environmental Exposure><Environmental Factor><Environmental Hazards><Environmental Risk Factor><Family><Future><Gases><Glutamates><Goals><Health><Health Insurance><Health behavior><Heart Diseases><Home><Home environment><Hour><Humidity><Hyperglyceridemia><Hypertension><Hypertriglyceridemia><Individual><Inflammation><Intermediary Metabolism><Intervention><Intervention Strategies><L-Glutamate><Latina><Latina Population><Latinas><Living Wills><Location><MR Imaging><MR Tomography><MRI><MRIs><Magnetic Resonance Imaging><Measurement><Measures><Mediating><Medical Imaging, Magnetic Resonance / Nuclear Magnetic Resonance><Metabolic><Metabolic Processes><Metabolic syndrome><Metabolism><Methods><Mobile Phones><Modeling><Monitor><N-acetyl aspartate><N-acetyl-L-aspartate><N-acetylaspartate><NHLBI><NMR Imaging><NMR Tomography><National Heart, Lung, and Blood Institute><Network Analysis><Nitrogen Oxides><Noise><Non-Hispanic><Nonhispanic><Not Hispanic or Latino><Nuclear Magnetic Resonance Imaging><Obesity><Outcome><PM2.5><Participant><Particulate Matter><Pathway Analysis><Peripheral><Phone><Physical activity><Physical assessment><Population><Prevalence><Prevention><Proteins, specific or class, C-reactive><Protocol><Protocols documentation><Proxy><Public Health><QOL><Quality of life><Raised TG><Raised triglycerides><Research><Rest><Risk><SARS-CoV-2 epidemic><SARS-CoV-2 global health crisis><SARS-CoV-2 global pandemic><SARS-CoV-2 pandemic><SARS-coronavirus-2 epidemic><SARS-coronavirus-2 pandemic><Sampling><Severe Acute Respiratory Syndrome CoV 2 epidemic><Severe Acute Respiratory Syndrome CoV 2 pandemic><Severe acute respiratory syndrome coronavirus 2 epidemic><Severe acute respiratory syndrome coronavirus 2 pandemic><Sleep><Sleep Disorders><Smart Phone App><Smart Phone Application><Smartphone App><Smog><System><Techniques><Telephone><Temperature><Testing><Underserved Population><Validation><Vascular Hypertensive Disease><Vascular Hypertensive Disorder><White Females><White Matter Hyperintensity><White Women><Woman><Zeugmatography><above age 65><adiposity><adult youth><after age 65><age 65 and greater><age 65 and older><age 65 or older><age > 65><age of 65 years onward><aged 65 and greater><aged 65+><aged ≥65><ages><behavior intervention><behavioral intervention><bio-markers><biologic marker><biomarker><body sensor><body worn sensor><cardiometabolic><cardiometabolism><cell phone based app><cerebral><coronavirus disease 2019 crisis><coronavirus disease 2019 epidemic><coronavirus disease 2019 global health crisis><coronavirus disease 2019 global pandemic><coronavirus disease 2019 health crisis><coronavirus disease 2019 pandemic><coronavirus disease 2019 public health crisis><coronavirus disease crisis><coronavirus disease epidemic><coronavirus disease pandemic><coronavirus disease-19 global pandemic><coronavirus disease-19 pandemic><corpulence><cost><data interpretation><design><designing><elevated tg><elevated triglyceride><environmental monitoring device><environmental risk><environmental testing device><experience><fine particles><fine particulate matter><fitbit><glutamatergic><gray matter><health assessment><health insurance plan><health related behavior><heart disorder><high blood pressure><high risk><high triglycerides><home test><home-based test><homes><human old age (65+)><hyperpiesia><hyperpiesis><hypertensive disease><hypertensive disorder><iOS app><iOS application><iPhone><iPhone App><iPhone Application><increased triglycerides><instrument><interventional strategy><kids><living will><mobile phone app><mobile sensing><mobile sensor><monitoring device><mortality><mortality rate><mortality ratio><myoinositol><neural imaging><neuro-imaging><neuroimaging><neurological imaging><novel><old age><over 65 years><participatory sensing><pharmacologic><pilot test><poor health outcome><portable sensor><prevent><preventing><protective factors><reduced health outcome><remote sensing><sensor><severe acute respiratory syndrome coronavirus 2 global health crisis><severe acute respiratory syndrome coronavirus 2 global pandemic><sleep diseases><sleep dysfunction><sleep illness><sleep problem><smart phone><smart watch><smartphone><smartphone application><smartphone based app><smartphone based application><smartwatch><substantia alba><substantia grisea><synergism><under served group><under served individual><under served people><under served population><underserved group><underserved individual><underserved people><validations><ventilation><wearable biosensor><wearable sensor><wearable sensor technology><white matter><worse health outcome><young adult><young adulthood><youngster><≥65 years>