Actively Recruiting
Enhancing Diabetes Care: Exposome &Amp; Sensors
Led by University of Illinois at Chicago · Updated on 2025-05-25
20
Participants Needed
2
Research Sites
44 weeks
Total Duration
On this page
AI-Summary
What this Trial Is About
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.
CONDITIONS
Official Title
Enhancing Diabetes Care: Exposome &Amp; Sensors
Who Can Participate
Eligibility Criteria
You may qualify if you...
- 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
You will not qualify if you...
- Any concern of not understanding informed consent
- Unable to understand or unwilling to follow research protocol
AI-Screening
AI-Powered Screening
Complete this quick 3-step screening to check your eligibility
Trial Site Locations
Total: 2 locations
1
University of Illinois - Chicago
Chicago, Illinois, United States, 60612
Actively Recruiting
2
University of Illinois College of Nursing
Chicago, Illinois, United States, 60612
Actively Recruiting
Research Team
L
Laurie Quinn, PhD
CONTACT
S
Sulaimon Balogun, PhD Student
CONTACT
How is the study designed?
Study Type
OBSERVATIONAL
Masking
N/A
Allocation
N/A
Model
N/A
Primary Purpose
N/A
Number of Arms
1
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