Clinical trial
Improving Weight Loss in Healthy Adults With Overweight and Obesity: An Artificial Intelligence-assisted Dietary Prediction and Prevention System With Continuous Glucose Monitoring
Active, not recruiting · Not applicable · 1 countries · Registry ID NCT07395466
What this study is about
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.
Basic eligibility
Full registry criteria
Treatments and study arms
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.
FatSecret
Intervention group 2 involves using the FatSecret smartphone application for participants to monitor their calorie intake, without any continuous glucose monitoring.
Primary outcomes
Taken using a wall mounted measuring tape.
Taken using InBody 120
Taken using a measuring tape.
Taken using InBody 120
The Self-Regulation of Eating Behaviour Questionnaire (SREBQ) is a validated self-administered instrument used to assess individuals' self-regulation in relation to eating behavior. It evaluates the extent to which individuals monitor, control, and regulate their eating behaviors in everyday contexts. Higher scores indicate greater self-regulation of eating behavior.
Study locations
1 locations were listed when this page was built. The first 40 are shown.