Upgraded Estimation of Dietary Intake Using Phenotypic and Biochemical Markers by Supervised Equations: Applicability for Categorizing DQI
This pilot exploratory analysis demonstrates the feasibility of integrating dietary and biochemical data to suitably predict adherence to validated dietary quality indices, Although not intended as a deployable prediction tool, the study provides preliminary evidence supporting the potential of routinely collected clinical data to inform personalized precision dietary advice through objective computational algorithms for precision nutrition implementation.
Authors
- Alfonso L. Calle‐Pascual (ORCID: https://orcid.org/0000-0002-3628-9323)
- Edwin Fernández‐Cruz (ORCID: https://orcid.org/0000-0001-9467-2788)
- Víctor de la O (ORCID: https://orcid.org/0000-0002-9916-275X)
- Miguel A. Rubio (ORCID: https://orcid.org/0000-0002-0495-6240)
- Ana Barabash (ORCID: https://orcid.org/0000-0003-2383-1563)
- C. Fernández
- Pilar Matía‐Martín
- J. Alfredo Martínez
Institutions
- Madrid Institute for Advanced Studies (ES)
- Universidad de Valladolid (ES)
- Universidad Complutense de Madrid (ES)
- Instituto de Salud Carlos III (ES)
- Centro de Investigación Biomédica en Red Diabetes y Enfermedades Metabólicas Asociadas (ES)
- Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (ES)
- Universidad Internacional De La Rioja (ES)
Publication Details
- Journal
- Journal of the American Nutrition Association
- Published
- 2025-11-10
- DOI
- https://doi.org/10.1080/27697061.2025.2564380
- Primary Topic
- Nutrition, Genetics, and Disease
- Type
- article
- Field-Weighted Citation Impact
- 0.00