journal article

An algorithm to assess calcium bioavailability from foods

by Connie M. Weaver,
Meryl Wastney,
Andrew Fletcher and
Keith Lividini
journal of nutrition | In Press
DOI : https://doi.org/10.1016/j.tjnut.2023.12.005
Open Access | CC BY-4.0
Citation
Weaver, Connie M.; Wastney, Meryl; Fletcher, Andrew; and Lividini, Keith. An algorithm to assess calcium bioavailability from foods. Journal of Nutrition. Article in press. First published online December 9, 2023. https://doi.org/10.1016/j.tjnut.2023.12.005

Background
The recommended calcium intakes to meet calcium requirements at various ages, are based on average population absorption values. Absorption is altered by physiology, the calcium load and type of food. The calcium intake necessary therefore to meet requirements depends upon diet composition, through bioavailability.

Objective
To improve predictions of calcium bioavailability based on food matrix.

Design
We modeled calcium absorption data from individual foods, beverages, and fortified foods that was determined with calcium isotopic tracers and compared to milk as a referent to adjust for physiological differences of the host

Results
Data from 496 observations were modeled to develop a predictive algorithm for calcium bioavailability in adults based on calcium load and oxalate and phytate loads which represent the two main inhibitors of calcium absorption.

Conclusions
This algorithm will be helpful in assessing calcium availability from the food supply, for developing diets for individuals and research cohorts, and for designing policies and interventions to address inadequate calcium intake for populations.

Countries
Global
Divisions
Foresight and Policy Modeling (FPM)

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