Use of Continuous Glucose Monitors in Children and Adolescents With Obesity (CGM)
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Detailed Description
Study Type
Study Type
Enrollment (Estimated)
Enrollment
Phase
Phase
- Not Applicable
Contacts and Locations
Study Contact
Study Contact
- Name: Sri Nikhita Chimatapu, MD
- Phone Number: 9177414080
- Email: schimatapu@mednet.ucla.edu
Study Locations
-
-
California
-
Los Angeles, California, United States, 90025
- Recruiting
- Pediatric Endocrinology Division, University of California
-
Contact:
- Sri Nikhita Chimatapu
- Phone Number: 917-741-4080
- Email: schimatapu@mednet.ucla.edu
-
-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
- Child
- Adult
Accepts Healthy Volunteers
Description
Inclusion Criteria:
- Age 10-21 years BMI >95th percentile
Exclusion Criteria:
- Previous diagnosis of Prader Willi Syndrome or hypothalamic obesity
- Intellectual disability
- Previous or planned bariatric surgery
- Hemoglobin A1c >6.5 %
- Current use of medication that impacts weight
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Prevention
- Allocation: Randomized
- Interventional Model: Crossover Assignment
- Masking: Single
Number of Arms
Arms and Interventions
Participant Group / ArmParticipant Group / Arm |
Intervention / TreatmentIntervention / Treatment |
|---|---|
|
Experimental: Unblinded
They will wear the device and have access to their data- UNBLINDED ARM
|
its a device used to measure glucose from interstitial fluids and provides feedback regarding the same every 5 minutes.
|
|
Experimental: Blinded
They will wear the device but will not have access to their data- BLINDED ARM
|
its a device used to measure glucose from interstitial fluids and provides feedback regarding the same every 5 minutes.
|
What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Feasibility of continuous glucose monitor(CGM) use in children and adolescents with obesity
Time Frame: 6 weeks
|
Investigator will measure this outcome using recruitment rate achieved each month for the duration of the study period as the number of participants screened per month over the number of participants consented.
|
6 weeks
|
Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
To access the change in glycemic variability measured by CGMS in unblinded versus blinded periods through standard deviation of the mean.
Time Frame: 6 weeks
|
Investigator will measure the effect of un-blinded CGM versus blinded use on glycemic variability measured by the Standard Deviation of the mean glycemia (SD) measured by CGMS.
|
6 weeks
|
Other Outcome Measures
Other Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Effect of on sleep in youth with obesity using CGMs
Time Frame: 6 weeks
|
Investigator will assess the effect on quality of sleep in youth with obesity when using CGMs with the help of Pittsburgh Sleep Quality Index.
The Pittsburgh Sleep Quality Index scored 0 (no difficulty) to 3 (severe difficulty).
The component scores are summed to produce a global score (range 0 to 21).
Higher scores indicate worse sleep quality.
|
6 weeks
|
|
Effect of CGM use on physical activity in youth with obesity when using CGMs
Time Frame: 6 weeks
|
Investigator will assess the effect on physical activity when using CGMS with the help of International Physical Activity Questionnaire.
The items on the form are structured to provide separate scores on walking, moderate-intensity and vigorous-intensity activity.
Computation of the total score for the short form requires summation of the duration (in minutes) and frequency (days) of walking, moderate-intensity and vigorous-intensity activities.
|
6 weeks
|
|
Effect of CGM use on dietary intake in youth with obesity when using CGMs
Time Frame: 6 weeks
|
Investigator will assess the effect on dietary intake when using CGMS with the help of The Automated Self-Administered 24-hour Dietary Assessment Tool which is a tool that enables multiple, automatically coded, self-administered 24-hour diet recalls and/or single or multi-day food records, also known as food diaries.
|
6 weeks
|
|
Effect of CGM use on eating behaviors in youth with obesity when using CGMs
Time Frame: 6 weeks
|
Investigator will assess the effect on eating behaviors in youth with obesity when using CGMs with the help of Dutch Eating Behavior Questionnaire.
Items on the Dutch Eating Behavior Questionnaire range from 1 (never) to 5 (very often), with higher scores indicating greater endorsement of the eating behavior.
|
6 weeks
|
|
Effect of CGM use on change in the BMI as a percentage of the 95th percentile (%BMIp95) in youth with obesity when using CGMs
Time Frame: 6 weeks.
|
Investigator will measure the change in the BMI as a percentage of the 95th percentile (%BMIp95) in youth with obesity when using CGMs between baseline to week 6.
|
6 weeks.
|
Collaborators and Investigators
Sponsor
Sponsor
Investigators
Investigators
- Study Director: Steven D Mittelman, MD, PhD, University of California, Los Angeles
Study record dates
Study Major Dates
Study Start (Actual)
Study Start
Primary Completion (Estimated)
Primary Completion
Study Completion (Estimated)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
Other Study ID Numbers
- 22-000958
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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