Gepersonaliseerde voeding in de preventie van chronische stofwisselingsziekten

Precision Nutrition in the prevention of chronic metabolic diseases

There is an urgent unmet need for more tailored, personalized dietary interventions and associated motivating health-management (digital) tools, to improve long-term effectiveness and adherence to lifestyle intervention. This project importantly contributes to this unmet need by developing a precision-based nutritional intervention strategy, in co-creation with the target population, individuals with overweight and obesity and other relevant stakeholders, to assure that it can be easily implemented into the health care system.

We hypothesize and test that the use of a precision nutrition intervention strategy, based on a the definition of optimal diets for specific metabolic subgroups classification will improve blood glucose homeostasis, cardiometabolic risk status as well as adherence to the intervention, mood and well-being compared to population-based dietary guidelines. We will use of a smartphone-based dietary application (PRECINUT app) for guiding the intervention. We will map strategies, barriers and facilitators to support the uptake of the PRECINUT intervention strategy across populations varying in socio-economic position. The dietary intervention will be supported by food products of the private partners.

This proposal provides important mechanistic knowledge in the field of personalized nutrition and prevention of chronic metabolic diseases. This field is upcoming but still in its infancy. The present proposal fills that gap by providing the proof-of-concept and theory-base for this concept. This project will deliver data that feed into novel precision nutritional and lifestyle strategies. This will contribute to a healthier population with improved glucose homeostasis, cardiometabolic risk, perceived well-being and quality of life by providing more tools for health professionals for effective prevention.

Summary
The goal of this project is to develop a detailed classification of metabolic subgroups or phenotypes at risk for cardiometabolic diseases and, secondly, to ascertain its utility in improving nutritional prevention of type 2 diabetes and cardiometabolic outcomes as well as mental performance and well-being.
Technology Readiness Level (TRL)
4 - 7
Time period
48 months
Partners