Conceptio › Archive › ClinicalTrials.gov
ClinicalTrials.gov public full text Public Domain

Digital Dietary Intervention for Patients Receiving GLP-1 Receptor Agonist Therapy

Kazakh Academy of Nutrition · 2026
ClinicalTrials.gov · Datasets · License: Public Domain · 2026
Open Source ↗
hba1cmetabolic-syndromeobesity-disorderoverweightsemaglutidetype-2-diabetes-mellitus-t2dm
The goal of this clinical trial is to learn whether adding the NutriSteppe digital dietary intervention to routine medical care improves metabolic health in adults aged 21 to 65 years with type 2 diabetes mellitus, obesity, or overweight with related health conditions. Participants are already receiving or have been prescribed glucagon-like peptide-1 (GLP-1) receptor agonist therapy by their treating physicians outside the study. The main question is: Does the NutriSteppe digital dietary intervention improve glycated hemoglobin (HbA1c), a measure of average blood glucose, after 12 weeks compared with routine medical care alone? The study will also assess changes in fasting blood glucose, body weight, body mass index, waist circumference, cholesterol, triglycerides, blood pressure, diet quality, quality of life, dietary adherence, and safety. Researchers will randomly assign participants to one of two groups. The control group will continue routine medical care and receive general lifestyle advice. The intervention group will continue routine medical care and use the NutriSteppe application for 12 weeks to receive personalized dietary support. Participants in both groups will: * Attend study visits and complete the examinations, laboratory tests, and questionnaires specified in the study protocol. * Photograph everything they eat and drink. * Have their food photographs automatically analyzed using Tagam-AI, a system developed for this study. * Be able to view the results of the food photograph analysis. The photography and automated analysis procedures will be the same in both groups. Only participants in the intervention group will receive personalized dietary recommendations generated from these data through the NutriSteppe application.
Conceptio Open Archive

Analyze & explore related research in Conceptio

Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.

This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗

Related documents

Record · ID 893358
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive