Personalized Responses to Dietary Composition Trial 3 A Study Using Standardized Meals and Digital Monitoring to Understand Individual Food Responses

What this Trial Is About

Researchers are building on previous studies involving over 2,000 people to improve machine learning models that predict how individuals respond to different foods. The goal is to advance precision nutrition science and provide personalized dietary advice. This study uses both controlled dietary tests and free-living periods to observe responses to various meals and factors like exercise, sleep, and time of day. It also incorporates a commercial product to reach many participants who collect data through digital and biochemical devices. Participants will take part for 6 to 14 days. On the first day, they will wear a continuous glucose monitor on their arm. They will then eat two standardized meals each day, provided by the study team, and track their food intake using a digital app. After this period, participants can eat freely but must continue logging all meals, snacks, drinks, sleep, physical activity, mood, hunger, and medication use on the app. The study includes use of wearable devices and collection of blood and stool samples among users of the commercial product. Participants will complete questionnaires about their diet, lifestyle, and psychological state before and during the study. Continuous glucose levels will be monitored every 5 minutes during the intervention. Regular contact via phone, app, and messages will support compliance. Some participants may join a follow-up study to try dietary advice from the app for up to a year, reporting weight, bowel habits, hunger, energy, and app usage. The study measures glucose, gut microbiome diversity, blood lipids, hunger, and other health indicators throughout the study period.

Personalized Responses to Dietary Composition Trial 3