Perspective: Framework for Developing Prediction Equations for Estimating the Absorption and Bioavailability of Nutrients from Foods
Issued Date
2025-09-01
Resource Type
ISSN
21618313
eISSN
21565376
Scopus ID
2-s2.0-105012931922
Pubmed ID
40683371
Journal Title
Advances in Nutrition
Volume
16
Issue
9
Rights Holder(s)
SCOPUS
Bibliographic Citation
Advances in Nutrition Vol.16 No.9 (2025)
Suggested Citation
Weaver C., Armah S., Bruno R.S., Fletcher A., Glahn R., Herter-Aeberli I., Karosas T., Loechl C.U., Lopez-Teros V., McBurney M.I., Melse-Boonstra A., Novotny R., Reddy M.B., Rigutto-Farebrother J., Tanumihardjo S., Udomkesmalee E., Van Den Heuvel E., Wallace T., Winichagoon P. Perspective: Framework for Developing Prediction Equations for Estimating the Absorption and Bioavailability of Nutrients from Foods. Advances in Nutrition Vol.16 No.9 (2025). doi:10.1016/j.advnut.2025.100481 Retrieved from: https://repository.li.mahidol.ac.th/handle/20.500.14594/111705
Title
Perspective: Framework for Developing Prediction Equations for Estimating the Absorption and Bioavailability of Nutrients from Foods
Author's Affiliation
University of Wisconsin-Madison
The Ohio State University
ETH Zürich
Iowa State University
Wageningen University & Research
University of Hawaiʻi at Mānoa
University of Guelph
University of Notre Dame
Mahidol University
Tufts University
San Diego State University
Massey University
The George Washington University School of Medicine and Health Sciences
The University of North Carolina at Greensboro
USDA ARS Robert W. Holley Center for Agriculture and Health
Osterreichische Institut fur Internationale Politik
Fonterra Co-operative Group Limited
International Life Sciences Institute
LLC
LLN NutriResearch
The Ohio State University
ETH Zürich
Iowa State University
Wageningen University & Research
University of Hawaiʻi at Mānoa
University of Guelph
University of Notre Dame
Mahidol University
Tufts University
San Diego State University
Massey University
The George Washington University School of Medicine and Health Sciences
The University of North Carolina at Greensboro
USDA ARS Robert W. Holley Center for Agriculture and Health
Osterreichische Institut fur Internationale Politik
Fonterra Co-operative Group Limited
International Life Sciences Institute
LLC
LLN NutriResearch
Corresponding Author(s)
Other Contributor(s)
Abstract
Current nutrient intake recommendations, nutritional assessments, and food labeling rely on estimated total nutrient content in foods and dietary supplements. However, the adequacy of nutrient intake depends not only on the total amount consumed but also on the fraction absorbed and utilized by the body. Accurate assessments of nutrient bioavailability require predictive equations or algorithms. This paper outlines a 4-step framework designed to guide researchers in developing such equations. The framework includes: 1) identifying key factors that influence nutrient or bioactive compound bioavailability; 2) conducting a comprehensive literature review of high-quality human studies to inform the development of predictive equations; 3) constructing predictive equations based on these insights; and 4) validate the equation, when feasible, to potentiate translation. This structured approach aims to enhance the accuracy and precision of nutrient bioavailability estimates, address data limitations, and highlight evidence gaps to inform future research and policy on nutrients and bioactive compounds.