NCT04991142

Brief Summary

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.

Trial Health

87
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
45

participants targeted

Target at P25-P50 for all trials

Timeline
Completed

Started Sep 2021

Typical duration for all trials

Geographic Reach
1 country

2 active sites

Status
completed

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

First Submitted

Initial submission to the registry

July 27, 2021

Completed
9 days until next milestone

First Posted

Study publicly available on registry

August 5, 2021

Completed
1 month until next milestone

Study Start

First participant enrolled

September 17, 2021

Completed
2.9 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

August 1, 2024

Completed
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

August 1, 2024

Completed
Last Updated

August 21, 2024

Status Verified

August 1, 2024

Enrollment Period

2.9 years

First QC Date

July 27, 2021

Last Update Submit

August 19, 2024

Conditions

Outcome Measures

Primary Outcomes (1)

  • 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

Secondary Outcomes (2)

  • 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

Study Arms (3)

Persons with Diabetes Mellitus, Type 2

Venous blood draw of fasting HbA1c greater than or equal to 6.5%

Persons with Pre-diabetes

Venous blood draw of fasting HbA1c greater than or equal to 5.7% and less than 6.5%

Persons without Pre-diabetes or Diabetes Mellitus, Type 2

Venous blood draw of fasting HbA1c less than 5.7%

Eligibility Criteria

Age18 Years+
Sexall
Healthy VolunteersYes
Age GroupsAdult (18-64), Older Adult (65+)
Sampling MethodNon-Probability Sample
Study Population

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.

You may qualify if:

  • Adults ≥ 18 years of age at enrollment visit.
  • Ability to walk, sit down and stand up independently.
  • Exclusive and continuous use, for the up to 14 day participation period, of a study-compatible smart phone, as well as ability to use a smart phone with sufficient proficiency to engage in study activities.
  • Based on the research staff's judgment, participant must have a good understanding, ability, and willingness to adhere to the protocol, including performance of self-monitored data collection during the free-living portion of the study.
  • Live or work within range of the study's meal delivery service.
  • Able to speak and read English sufficiently to engage in study activities.
  • Ability to refrigerate provided meals.

You may not qualify if:

  • Under 18 years of age.
  • Type 1 diabetes or a history of diabetic ketoacidosis.
  • Type 2 diabetes treated with oral medicines (other than Metformin) or any injectable GLP-1 receptor agonist or insulin.
  • Life expectancy \< 12 months.
  • Any active clinically significant physical or mental disease or disorder that, in the investigator's opinion, could interfere with the participation in the study.
  • History of major surgical procedures involving the stomach potentially affecting absorption of trial product (e.g., subtotal and total gastrectomy, sleeve gastrectomy, gastric bypass surgery).
  • Renal impairment, defined as estimated glomerular filtration rate \<60 mL/min/1.73 m2 as per Chronic Kidney Disease Epidemiology Collaboration formula.
  • Known or suspected abuse of alcohol, narcotics, or illicit drugs.
  • Language and/or technology barriers precluding comprehension of study activities and informed consent.
  • Any food allergies that, in the investigator's opinion, could interfere with participation in the study.
  • Pregnant (self-reported).
  • Current participation in other trials involving medications or devices.

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (2)

Sansum Diabetes Research Institute

Santa Barbara, California, 93105, United States

Location

Texas A&M University

College Station, Texas, 77843, United States

Location

MeSH Terms

Conditions

Diabetes Mellitus, Type 2Glucose IntoleranceFeeding Behavior

Condition Hierarchy (Ancestors)

Diabetes MellitusGlucose Metabolism DisordersMetabolic DiseasesNutritional and Metabolic DiseasesEndocrine System DiseasesHyperglycemiaBehavior, AnimalBehavior

Study Officials

  • Kristin Castorino, DO

    Sansum Diabetes Research Institute

    PRINCIPAL INVESTIGATOR
  • Bobak J Mortazavi, PhD

    Texas A&M University

    PRINCIPAL INVESTIGATOR
  • Ricardo Gutierrez-Osuna, PhD

    Texas A&M University

    PRINCIPAL INVESTIGATOR

Study Design

Study Type
observational
Observational Model
COHORT
Time Perspective
CROSS SECTIONAL
Sponsor Type
OTHER
Responsible Party
SPONSOR

Study Record Dates

First Submitted

July 27, 2021

First Posted

August 5, 2021

Study Start

September 17, 2021

Primary Completion

August 1, 2024

Study Completion

August 1, 2024

Last Updated

August 21, 2024

Record last verified: 2024-08

Data Sharing

IPD Sharing
Will share

All de-identified individual participant data (IDP) that underlie results in publications.

Shared Documents
STUDY PROTOCOL, ANALYTIC CODE
Time Frame
Data will be made available after the primary publication of each analysis.
Access Criteria
Data Sharing Agreements will be formulated by a committee of study investigators and community and industry partners.

Locations