This project aims to develop a predictive equation for estimating iron absorption that focuses on the effect of dietary factors which can be used to evaluate foods in the absence of host factors.
Project Goals:
- Building on the Framework To Assess Bioavailability from Foods developed by Weaver et al., our aim is to develop a predictive equation capable of estimating bioavailable iron intake from foods when host level data is unknown.
- Use the algorithm to apply to country level data, intake level data, or product data.
Leadership Team:
- Seth Armah, PhD – University of NC Greensboro, USA (Chair)
- Cornelia Loechl, PhD – International Atomic Energy Agency, Austria
- Ray Glahn, PhD – USDA-Agricultural Research Services, USA
- Richard Hurrell, PhD – ETH Zurich, Switzerland
- Inger-Cecilia Mayer Labba, PhD – Chalmers University of Technology, Sweden
- Alida Melse-Boonstra, PhD – Wageningen University and Research, Netherlands
- Diego Moretti, PhD – University of Applied Sciences of Southern Switzerland, ETH Zurich, Switzerland
- Manju Reddy, PhD – Iowa State University, USA
- Maria Traka, PhD – Quadram Institute Bioscience, UK
- Ann-Sofie Sandberg, PhD – Chalmers University of Technology, Sweden
- Nele Steenacker, PhD – Maastricht University, Netherlands
Deliverables:
- Publication in peer-reviewed journal detailing the development process of the algorithm and the algorithm itself.
- Open access iron bioavailability prediction equation/algorithm.
To get involved, email: research@ilsiuscanada.org