Diabetes Prevention AI: Enhancing Prevention Strategies Using Personalized Nutrition and Fitness Coaching for the Next Generation

NCT07824154 | Not Yet Recruiting

• 1 other identifier: 2025P013557
• Study Type: interventional
• Target: 30
• Locations: 1 country
• Sites: 1

Brief Summary

This study is testing an artificial intelligence (AI) chatbot designed to help adults at risk for type 2 diabetes adopt healthier lifestyles. The chatbot provides personalized and culturally tailored guidance on nutrition, physical activity, resistance training, and goal setting. About 30 adults aged 18 to 55 years will use the chatbot for 6 weeks and provide feedback through surveys and interviews. Researchers will evaluate whether the chatbot is easy to use, helpful, and trustworthy, and whether data about changes in health behaviors can be feasibly collected, in order to inform larger future studies to improve diabetes prevention.

Conditions

Pre Diabetes; Type2 Diabetes

Keywords

Lifestyle Intervention; Generative AI; Digital Health; Health Coaching; Preventive Health; Health Equity; Culturally Tailored Intervention

Outcome Measures

Primary Outcomes (2)

• Feasibility and Acceptability: Task completion rate

  The proportion of recommended chatbot activities, goals, or behavioral tasks completed by participants during the 6-week intervention period, as assessed through chatbot analytics. This measure will be used to evaluate participant engagement and adherence to chatbot-delivered recommendations.

  Baseline, 6 weeks

• Feasibility and Acceptability: Conversation length

  Average number of messages exchanged between participants and the AI chatbot during each interaction session over the study period. Conversation length will be obtained from chatbot analytics and used as an indicator of participant engagement with the intervention. Longer conversations may reflect greater interaction with chatbot-delivered nutrition, physical activity, and lifestyle coaching content

  Baseline, 6 weeks

Secondary Outcomes (7)

• Feasibility: Body Mass Index (BMI)

  Baseline, 6 weeks

• Feasibility: Physical Activity Behaviors

  Baseline, 6 weeks

• Feasibility: Dietary Behaviors

  Baseline, 6 weeks

• Feasibility: Behavioral Intention for Diabetes Prevention

  Baseline, 6 weeks

• Perceived Trustworthiness of the Chatbot

  Baseline, 6 weeks

Study Arms (1)

AI-Powered Diabetes Prevention Chatbot

EXPERIMENTAL

Participants will receive access to an artificial intelligence (AI)-powered chatbot that provides personalized, culturally tailored diabetes prevention guidance focused on nutrition, resistance training, goal setting, and lifestyle behavior change for a 6-week intervention period.

Behavioral: AI-Powered Diabetes Prevention Chatbot

Interventions

AI-Powered Diabetes Prevention Chatbot BEHAVIORAL

Participants will use a generative AI chatbot designed to provide personalized, evidence-based diabetes prevention support. The chatbot delivers culturally tailored nutrition and physical activity recommendations, with an emphasis on high-protein dietary strategies, resistance training, goal setting, motivational support, and healthy lifestyle behaviors. Participants will be encouraged to interact with the chatbot at least three times per week during the 6-week study period. Recommendations are generated using expert-validated diabetes prevention content and personalized according to participant characteristics and preferences.

AI-Powered Diabetes Prevention Chatbot

Eligibility Criteria

• Age: 18 Years - 55 Years
• Sex: all
• Healthy Volunteers: Yes
• Age Groups: Adult (18-64)

You may qualify if:

• Have at least one of the following diabetes risk factors:
• HbA1C of 5.7-6.4%
• BMI of 18.5 - 24.9 kg/m\^2
• Fasting plasma glucose 100 - 125 mg/dL
• Family history of type 2 diabetes in first-degree relatives (parents, siblings, or children)
• History of gestational diabetes
• Membership in a high-risk ethnic group (African American, Hispanic, Native American, Asian American, Pacific Islander)
• Access to a smartphone or computer with internet
• English reading and writing proficiency
• Be willing to use the chatbot at least 3 times per week
• Be able to provide informed consent
• Availability for the 6-week study duration
• Able to perform resistance training exercises

You may not qualify if:

• Are diagnosed with type 1 or type 2 diabetics
• Have uncontrolled hypertension (higher than 160/100 mmHg)
• Have cardiovascular disease
• Are pregnant or planning to be pregnant
• Are actively undergoing treatment for cancer
• Have an eating disorder
• Have chronic kidney disease
• Are enrolled in another research study or participating in a structured lifestyle program

Sponsors & Collaborators

• Emory University: lead
• Georgia Center for Diabetes Translation Research: collaborator

Study Sites (1)

Emory University

Atlanta, Georgia, 30322, United States

Location

MeSH Terms

Conditions

Glucose Intolerance

Condition Hierarchy (Ancestors)

Hyperglycemia; Glucose Metabolism Disorders; Metabolic Diseases; Nutritional and Metabolic Diseases

Study Officials

• Megha Shah, M.D., M.Sc.

  Emory University

  PRINCIPAL INVESTIGATOR

Central Study Contacts

Megha K Shah, M.D., M.Sc.

CONTACT

404-778-6944; mkshah@emory.edu

Study Design

• Study Type: interventional
• Phase: not applicable
• Allocation: NA
• Masking: NONE
• Purpose: PREVENTION
• Intervention Model: SINGLE GROUP
• Sponsor Type: OTHER
• Responsible Party: PRINCIPAL INVESTIGATOR
• PI Title: Associate Professor

Study Record Dates

• First Submitted: September 11, 2026
• First Posted: September 17, 2026
• Study Start: October 1, 2026
• Primary Completion (Estimated): March 1, 2027
• Study Completion (Estimated): March 1, 2027
• Last Updated: September 17, 2026

Record last verified: 2026-09

Data Sharing

• IPD Sharing: Will share
• Shared Documents: STUDY PROTOCOL, SAP, ICF, ANALYTIC CODE
• Time Frame: After study completion

Locations

US (1)