MDOI International Journal of Multidisciplinary Studies and Innovative Researchs 110.0483/INT.2026.00457
110.0483/INT.2026.00457
Article

Data in Personalized Nutrition: Bridging Biomedical, Psycho-behavioral, and Food Environment Approaches for Population-wide Impact

Jakob Linseisen, Britta Renner, Kurt Gedrich, Jan Wirsam, Christina Holzapfel, Stefan Lorkowski, Bernhard Watzl, Hannelore Daniel, Michael Leitzmann, on behalf of the Working Group "Personalized Nutrition" of the German Nutrition Society 2025 International Journal of Multidisciplinary Studies and Innovative Researchs

Abstract

Personalized nutrition (PN) represents an approach aimed at delivering tailored dietary recommendations, products, or services to support both prevention and treatment of nutrition-related conditions and to improve individual health using genetic, phenotypic, medical, nutritional, and other pertinent information. However, current approaches have yielded limited scientific success in improving diets or in mitigating diet-related conditions. In addition, PN currently caters to a specific subgroup of the population rather than having a widespread impact on diet and health at a population level. Addressing these challenges requires integrating traditional biomedical and dietary assessment methods with psycho-behavioral, and novel digital and diagnostic methods for comprehensive data collection, which holds considerable promise in alleviating present PN shortcomings. This comprehensive approach not only allows for deriving personalized goals (“what should be achieved”) but also customizing behavioral change processes (“how to bring about change”). We herein outline and discuss the concept of “Adaptive Personalized Nutrition Advice Systems,” which blends data from 3 assessment domains: 1) biomedical/health phenotyping; 2) stable and dynamic behavioral signatures; and 3) food environment data. Personalized goals and behavior change processes are envisaged to no longer be based solely on static data but will adapt dynamically in-time and in-situ based on individual-specific data. To successfully integrate biomedical, behavioral, and environmental data for personalized dietary guidance, advanced digital tools (e.g., sensors) and artificial intelligence-based methods will be essential. In conclusion, the integration of both established and novel static and dynamic assessment paradigms holds great potential for transitioning PN from its current focus on elite nutrition to a widely accessible tool that delivers meaningful health benefits to the general population.

Identifier Metadata

Identifier 110.0483/INT.2026.00457
Canonical mdoi:110.0483/INT.2026.00457
Resolver URL https://mdoi.org/110.0483/INT.2026.00457
Resource URL Open resource
Document URL Open document
Content Type Article
Authors Jakob Linseisen, Britta Renner, Kurt Gedrich, Jan Wirsam, Christina Holzapfel, Stefan Lorkowski, Bernhard Watzl, Hannelore Daniel, Michael Leitzmann, on behalf of the Working Group "Personalized Nutrition" of the German Nutrition Society
Year 2025
Depositor International Journal of Multidisciplinary Studies and Innovative Researchs Organisation
Prefix 110.0483
Registered July 1, 2026
Updated July 1, 2026
Status Active
Visibility Public

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