Related Experiment Video
Updated: Nov 2, 2025

Improving IV Insulin Administration in a Community Hospital
Published on: June 11, 2012
An Examination of the Glucose Management Indicator in Young Children with Type 1 Diabetes
Alexandra D Monzon1, Susana R Patton2, Mark Clements3
1Clinical Child Psychology Program, University of Kansas, Lawrence, KS, USA.
Insights
A new formula for the Glucose Management Indicator (GMI) shows strong correlation with HbA1c in young children with type 1 diabetes (T1D), especially with shorter continuous glucose monitor (CGM) data periods.
Area of Science:
- Pediatrics
- Endocrinology
- Diabetes Technology
Background:
- Previous Glucose Management Indicator (GMI) formulas were not validated in young children with type 1 diabetes (T1D).
- Continuous glucose monitoring (CGM) data is increasingly used for diabetes management metrics.
Purpose of the Study:
- To develop and validate a young child-specific GMI formula using CGM data.
- To assess the relationship between GMI and HbA1c in children aged 0-6 years with T1D.
Main Methods:
- Extracted CGM data from 215 children with T1D (0-6 years).
- Compared a previously established GMI formula with a new child-specific GMI equation.
- Analyzed CGM data from sampling periods of 3-27 days prior to HbA1c measurement.
Main Results:
- The young child-specific GMI formula showed higher correlations with HbA1c using 18 or fewer days of CGM data.
- No significant differences were found between the formulas using 21-27 days of CGM data.
- A strong overall relationship exists between GMI estimates and HbA1c in young children with T1D.
Conclusions:
- The young child-specific GMI formula may be beneficial for studies using less than 18 days of CGM data.
- Researchers and clinicians should consider optimizing CGM data collection periods for metric validity.
Background:
Previous studies utilizing glucose data from continuous glucose monitors (CGM) to estimate the Glucose Management Indicator (GMI) have not included young children or determined appropriate GMI formulas for young children with type 1 diabetes (T1D).
Methods:
We extracted CGM data for 215 children with T1D (0-6 years) from a repository. We defined sampling periods ranging from the 3-27 days prior to an HbA1c measurement and compared a previously established GMI formula to a young child-specific GMI equation based on the sample's CGM data. We examined associations between HbA1c, GMI values, and other CGM metrics for each sampling period.
Results:
The young child-specific GMI formula and the published GMI formula did not evidence significant differences when using 21-27 days of CGM data. The young child-specific GMI formula demonstrated higher correlations to laboratory HbA1c when using 18 or fewer days of CGM data. Overall, the GMI estimate and HbA1c values demonstrate a strong relationship in young children with T1D.
Conclusions:
Future research studies may consider utilizing the young child-specific GMI formula if the data collection period for CGM values is under 18 days. Further, researchers and clinicians may consider changing the default number of days of data used to calculate glycemic metrics in order to maximize validity of CGM-derived metrics.
More Related Videos
08:13Study of In Vivo Glucose Metabolism in High-fat Diet-fed Mice Using Oral Glucose Tolerance Test OGTT and Insulin Tolerance Test ITT
Published on: January 7, 2018
06:11Author Spotlight: Exploring the Long-Term Health Impacts of Intracytoplasmic Sperm Injection on Offspring
Published on: May 17, 2024
Related Concept Videos
Diabetes Mellitus: Type 2 and Gestational
Diabetes: Symptoms, Diagnosis, and Complications
Diabetes Mellitus: Overview and Type I Subtype
Type 1 diabetes is an autoimmune disease in which the immune system mistakenly attacks and destroys the insulin-producing beta cells in the pancreas. As a result, the body is unable to produce sufficient insulin, and individuals with...
Hypoglycemia and Glucagon
Diabetes: Management and Pharmacotherapy
Insulin remains the cornerstone of treatment for most patients with type 1 and many...
Pathophysiology of Diabetes
Type 1 diabetes is characterized by autoimmune-mediated destruction of pancreatic β cells, with environmental factors potentially triggering this process in genetically susceptible individuals. Despite many not having a family history, certain genes increase susceptibility,...