Leveraging the Exposome and Patient Sensor Data to Enhance Personalized Diabetes Care Across Diverse Communities
University of Illinois at Chicago
Summary
The study aims to integrate various data types, such as electronic health records, wearable device data, and environmental data, to create a comprehensive, personalized diabetes care model. The study will focus on people with type 2 diabetes living in specified vulnerable zip codes.
Description
The study procedures will commence with an initial screening to confirm participants' eligibility based on the inclusion criteria, followed by the signing of Informed Consent forms. Baseline data including medical records and quality of life questionnaires will be collected. A continuous glucose monitoring (CGM - Dexcom 7) will be inserted; a sport wristband (Fitbit Sense 2) will be provided; and environmental sensor for home data collection, will be distributed and set up in the home setting by the participant. The study will require two CGMs (10 days for each CGM). The 1st CGM will be insert…
Eligibility
- Age range
- 18–65 years
- Sex
- All
- Healthy volunteers
- No
Inclusion Criteria * People with diabetes in the 18-65 years of age range * Diagnosed with type 2 diabetes * Resides in the specified high social vulnerability zip codes - 60619, 60620, 60621, 60636, 60644, 60624, 60609, 60612, 60617, 60623, 60628, 60629, 60639, 60645, 60649, 60651, 60652, 60653 * Speak and understand the English language * Willing to wear various devices (CGM and sports wristband) * Own a smartphone Exclusion Criteria * Subjects will be excluded from the study for the following reasons: * Any concern of not understanding informed consent * Unable to understand or unwilling t…
Interventions
- OtherObservational Study: Relationships Among Glucose, Physical Activity and Environmental Influences
This is a single group observational study with no interventions.
Locations (2)
- University of Illinois - ChicagoChicago, Illinois
- University of Illinois College of NursingChicago, Illinois