Clinical trial
Personalized Responses to Dietary Composition Trial 3
Recruiting now · Not applicable · 2 countries · Registry ID NCT04735835
What this study is about
The PREDICT 3 study will build on previous research in over 2,000 individuals to further refine machine learning models that predict individual responses to foods, with the aim of advancing precision nutrition science and individualized dietary advice. The study incorporates both standardized and controlled dietary intervention, for the purpose of testing postprandial responses to specific mixed meals, in addition to a free-living period with a dietary record for measuring responses to a large variety of meals consumed in a realistic context, where the role of external factors (e.g. exercise, sleep, time of day) on postprandial responses may be determined. For the first time this PREDICT study is built on top of a commercial product which will allow access to a much larger group of participants who are already collecting large amounts of data through digital and biochemical devices that can contribute to science.
Basic eligibility
Full registry criteria
Treatments and study arms
Dietary Intervention
To carry out a dietary intervention using standardized test meals, where the participant's postprandial response to the meal is measured and is used to predict their postprandial responses to other foods, along with input variables including metabolic profile, anthropometry, sleep and exercise.
Primary outcomes
Measurement of blood glucose by continuous glucose monitor (mmol/L)
Species count in fecal sample (as part of ZOE testing program)
Measurement of baseline and 6-h post-prandial triglycerides (mmol/L) by dried blood sample (as part of ZOE testing program)
Self-reported in-app question on energy levels (categorical) (as part of ZOE testing program)
Measurement of baseline glucose (mmol/L) and HbA1c (%) by dried blood sample (as part of ZOE testing program)
Study locations
2 locations were listed when this page was built. The first 40 are shown.