NCT04991142|Completed
Models of Nutrition From Continuous Glucose Monitors
SCH: INT: Personalized Models of Nutrition Intake From Continuous Glucose Monitors
Loading search results
SCH: INT: Personalized Models of Nutrition Intake From Continuous Glucose Monitors
Sponsor study identifier
observational
45
1 country
2
Study Start
September 17, 2021
Actual (reported)Primary Completion
August 1, 2024
Actual (reported)Study Completion
August 1, 2024
Actual (reported)With this study, researchers want to conduct ambulatory studies in which people (healthy, with T2D, or at-risk of T2D) will consume a variety of pre-set and conventional meals in free-living conditions while wearing one or more continuous glucose monitors (CGMs) and, to assess physical activity, a smart watch. With data from these devices, researchers will develop algorithms that can predict the content of a meal.
Registry-reported information. Elapsed time and enrollment totals alone do not measure study progress or recruitment pace.
August 1, 2024
Actual (reported)Click on a node to explore related trials.
Dates and qualifiers reported by the registry. Estimated dates do not confirm that a milestone has occurred.
July 27, 2021
Actual (reported)August 5, 2021
Actual (reported)September 17, 2021
Actual (reported)August 1, 2024
Actual (reported)August 1, 2024
Actual (reported)Feasibility of measuring meal quantity and composition using CGMs
Unit of measure: Correlation and regression error in estimating meal composition from post-prandial glucose measurements
up to 14 days
Feasibility of measuring impact of physical activity on estimations of meal composition using CGMs and smart watches
up to 14 days
Feasibility of measuring impact of gut microbiota on estimations of meal composition using CGMs
up to 14 days
Venous blood draw of fasting HbA1c greater than or equal to 6.5%
Venous blood draw of fasting HbA1c greater than or equal to 5.7% and less than 6.5%
Venous blood draw of fasting HbA1c less than 5.7%
Adults without or with type 2 diabetes, or at high risk of developing type 2 diabetes and who currently use a compatible smartphone will be enrolled.
Sansum Diabetes Research Institute
Santa Barbara, California, 93105, United States
Texas A&M University
College Station, Texas, 77843, United States
Kristin Castorino, DO
Sansum Diabetes Research Institute
Bobak J Mortazavi, PhD
Texas A&M University
Ricardo Gutierrez-Osuna, PhD
Texas A&M University
45 participants (actual enrollment reported by the registry).
First Submitted
July 27, 2021
First Posted
August 5, 2021
Study Start
September 17, 2021
Actual (reported)Mechanisms of Fatigability With Diabetes
Contact the study team to confirm eligibility.
Primary Completion
August 1, 2024
Actual (reported)Study Completion
August 1, 2024
Actual (reported)Last Updated
August 21, 2024
Record last verified: 2024-08
All de-identified individual participant data (IDP) that underlie results in publications.
Download the complete ClinicalTrials.gov record imported by Syfrah, including fields not shown in this page. The registry may contain a newer revision.
Source: ClinicalTrials.gov.
JSON downloads include source attribution and retrieval details alongside the unchanged original record or the separately normalized values.
Source retrieved: