Continuous Glucose Monitoring-Derived Glycemic Profiles in Adolescents With Obesity Without Diabetes
Authors' conclusion
Among youth with obesity without diabetes, CGM revealed modest BMI-related glycemic variability and no sex differences, providing normative CGM data for this population.
Study context
- Population
- Youth aged 12 to 18 years with obesity (BMI > 95th percentile for age and sex) without diabetes or obesity-related complications
- Participants
- 54 participants
- Outcome
- CGM metrics
- Follow-up
- Pre-intervention
Methodological detailsbaseline data of a 24-week behavioral weight loss intervention, unmasked continuous glucose monitoring (CGM) up to five days, free-living
- Baseline data of a 24-week behavioral weight loss intervention
- Unmasked CGM up to five days, free-living
Main finding
As reported in the abstract
Mean glucose, median (IQR)
114.8 mg/dL
107.0–128.3
Estimated hemoglobin A1c (HbA1c), median (IQR)
5.6%
5.4–6.1
Glucose management indicator (GMI), median (IQR)
6.1
5.9–6.4
TAR 140 mg/dL
10.1%
4.1–24.4
Observational data: associations, not effects.
Further findings
Sex differences in mean glucose, estimated hemoglobin A1c (eHbA1c), GMI
- No significant sex differences
FPG vs mean CGM glucose
- Positive correlation, Spearman's ρ
- 0.36, P = .01
Baseline HbA1c vs mean CGM glucose
- Each +1% HbA1c corresponds to higher mean CGM glucose
- +19 mg/dL, P = .01
%BMIp95 vs CV (quantile regression)
- Significant association, adjusted for sex, age and PROMIS score
- P = 0.01
Original publication
Continuous Glucose Monitoring-Derived Glycemic Profiles in Adolescents With Obesity Without Diabetes. J Diabetes Sci Technol. Published 3 April 2026. doi:10.
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