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).
The primary objective of this new project is to enhance glycemic control in individuals with prediabetes and deter the progression to Type 2 Diabetes (T2D) within the Los Angeles (LA) County community. Our proposal involves conducting a Phase 0 intervention development study. This study will enlist a final sample of N=50 adults who speak English and/or Spanish, have non-clinical prediabetes, and test positive for prediabetes via a finger-prick A1c% screening. Participants will wear CGM devices for 20 days, with glucose data masked for the first 10 days and unmasked for the next 10 days. During the unmasked phase, participants will receive daily health education videos on their smartphones. The study will compare the duration of glucose excursions between the masked and unmasked phases to assess the impact of CGM feedback and health education on glucose regulation.
Study Type
INTERVENTIONAL
Allocation
NA
Purpose
PREVENTION
Masking
NONE
Enrollment
50
The CGM sensor is worn on the back of the arm and glucose levels are recorded continuously but levels are not shown on the participant's phone app in phase A.
Southern California Center for Latino Health (SCCLH)
Los Angeles, California, United States
RECRUITINGGlucose levels
Mean glucose in mg/dL
Time frame: Maximum of 20 days of continuous wear
Time out of range > 140 mg/dL (TOR)
Time out of range \> 140 mg/dL (TOR)
Time frame: Maximum of 20 days of continuous wear
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