NCT07395466

Improving Weight Loss in Healthy Adults With Overweight and Obesity: An Artificial Intelligence-assisted Dietary Prediction and Prevention System With Continuous Glucose Monitoring

• Status: Active Not Recruiting
• Phase: N/A
• Study type: Interventional
• Enrollment: 300 (estimated)
• Sponsor: National University Health System, Singapore · Academic / Other
• Sex: All
• Age: 21 Years – 65 Years
• Healthy volunteers: Not accepted

Summary

This study aims to examine the effectiveness of a novel dietary lapse prediction and prevention self-regulation app called the eating behaviour trigger-response inhibition program (eTRIP), and the addition of continuous glucose monitoring (CGM), on healthy eating and weight loss in people with overweight and obesity.

Conditions

• Overweight , Obesity
• Overweight or Obese Adults
• Obesity
• Overweight and/or Obesity

Interventions

Type	Name	Description
BEHAVIORAL	eTRIP	Intervention group 1 involves using the eating behaviour trigger-response inhibition program(eTRIP) smartphone application for 10 weeks, where participants will need to take pictures of their food items as part of their food logging and may also engage with app-based activities to build self-regulatory skills in sticking to their weight loss plans. Additionally, participants will also apply a continuous glucose monitoring (CGM) sensor on their arm and taught how to scan the CGM sensor so that they can monitor their glucose levels for the first 10 days.
OTHER	FatSecret	Intervention group 2 involves using the FatSecret smartphone application for participants to monitor their calorie intake, without any continuous glucose monitoring.

Timeline

• Start date: 2025-01-22
• Primary completion: 2026-07-01
• Completion: 2026-07-01
• First posted: 2026-02-09
• Last updated: 2026-02-09

Locations

1 site across 1 country: Singapore