Effects of a Digital AI-Mediated Mindful Eating Intervention on Eating Behavior and Well-Being Outcomes in College Students
NCT07784972 · Status: NOT_YET_RECRUITING · Phase: NA · Type: INTERVENTIONAL · Enrollment: 250
Last updated 2026-08-28
Summary
The goal of this randomized controlled study is to learn whether a 21-day mindful eating program can improve mental well-being and eating behavior outcomes in university students. The main questions it aims to answer are: Does participation in a 21-day mindful eating program improve students' well-being (e.g., anxiety, stress, affect, life satisfaction, perceived health)? Does the program improve students' eating behavior outcomes (e.g., mindful eating, emotional eating)? Researchers will compare students who complete the mindful eating program immediately to students in a waitlist control group to see whether participation in the program leads to greater improvements in well-being and eating behavior outcomes. Participants will sign up online and provide informed consent, be randomly assigned to either the intervention group or a waitlist control group, receive daily mindful eating tasks and reminders via Telegram for 21 days (intervention group), reflect daily about the task with a chatbot, as well as complete online questionnaire surveys at baseline, post-intervention, and a 2-week follow-up for those who opt in.
Conditions
- Health Behavior Change
Interventions
- BEHAVIORAL
-
Mindful Eating
The intervention is a 21-day, digitally delivered mindful eating program consisting of daily, brief, mindful eating tasks as well as brief post-task reflections with an AI bot, designed to support eating behavior and mental well-being in university students. The program includes low-intensity mindful eating practices that can be completed independently without specialized equipment or prior training, e.g. observing one's meal for one minute before taking the first bite. Participants assigned to the intervention group receive one structured mindful eating task per day for 21 consecutive days. Tasks are delivered via a Telegram channel, accompanied by brief reminders to prompt engagement. Each task is designed to be short in duration, flexible in timing, and feasible within daily meal routines, emphasizing consistency. Participants then reflect on the tasks with an AI bot. The intervention is self-guided and asynchronous, with no in-person contact, live sessions, or direct supervision.
Sponsors & Collaborators
-
Singapore Management University
lead OTHER
Study Design
- Allocation
- RANDOMIZED
- Purpose
- SUPPORTIVE_CARE
- Masking
- SINGLE
- Model
- PARALLEL
Eligibility
- Min Age
- 18 Years
- Sex
- ALL
- Healthy Volunteers
- Yes
Timeline & Regulatory
- Start
- 2026-08-21
- Primary Completion
- 2026-10-17
- Completion
- 2026-10-17
Countries
- Singapore
Study Locations
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