Continuous Glucose Monitoring (CGM) in Prediabetes With Community Based Recruitment
David S Black, PhD · with National Institute on Minority Health and Health Disparities (NIMHD) · NCT07477249
Opens the official ClinicalTrials.gov record, with the study team’s contacts. Bored Studies doesn’t enroll anyone.
Key facts
- Compensation
- Not posted. Ask the study team before screening.
- Who can join
- Ages 35+ · All sexes
- Healthy volunteers
- Accepted
- Study type
- Interventional · Not applicable
- Target enrollment
- 50
- US sites recruiting
- 1
- Study start
- February 26, 2026
- Record last updated
- March 30, 2026
Status re-checked against ClinicalTrials.gov within the last 12 hours.
What the study is about
The objective of this project is to develop a behavioral intervention that combines wearable continuous glucose monitoring (CGM) with smartphone feedback and educational video clips generated by artificial intelligence (AI) software to improve glycemic control among individuals with pre-diabetes. The goal is to prevent transition to type 2 diabetes (T2D).
Being studied: CGM
Conditions: Prediabetes
Eligibility criteria
Copied from the official record. The study team makes the final decision at screening.
Show full criteria
Inclusion Criteria
- 35 years of age or older
- Willingness to wear CGM sensor
- Prediabetes by finger prick blood A1C% or fasting glucose
- Centers for Disease Control and Prevention (CDC) prediabetes risk test score of 5 or higher or recent prediabetes diagnosis from physician
Exclusion Criteria
- Diagnosed with any disorder that interferes with glucose
- Influential medical disorder/event affecting ability to participate in study
- Incompatible smartphone device not pairing with Dexcom G6 app
- Currently pregnant
- Previously participated in other Continuous Glucose Monitoring studies
- Having a planned trip outside California in the following 2 months
Recruiting US locations
Southern California Center for Latino Health (SCCLH)
Los Angeles, CA 90031
Study contacts (from the official record)
- David S Black, PhD MPH · 3234428223 · davidbla@usc.edu
- Ruth Flores · rflores8@usc.edu
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