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Modeling tool for calculating dietary iron bioavailability in iron-sufficient adults(1)(2)(3)
Background: Values for dietary iron bioavailability are required for setting dietary reference values. These are estimated from predictive algorithms, nonheme iron absorption from meals, and models of iron intake, serum ferritin concentration, and iron requirements. Objective: We developed a new int...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Society for Nutrition
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5533300/ https://www.ncbi.nlm.nih.gov/pubmed/28381473 http://dx.doi.org/10.3945/ajcn.116.147389 |
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author | Fairweather-Tait, Susan J Jennings, Amy Harvey, Linda J Berry, Rachel Walton, Janette Dainty, Jack R |
author_facet | Fairweather-Tait, Susan J Jennings, Amy Harvey, Linda J Berry, Rachel Walton, Janette Dainty, Jack R |
author_sort | Fairweather-Tait, Susan J |
collection | PubMed |
description | Background: Values for dietary iron bioavailability are required for setting dietary reference values. These are estimated from predictive algorithms, nonheme iron absorption from meals, and models of iron intake, serum ferritin concentration, and iron requirements. Objective: We developed a new interactive tool to predict dietary iron bioavailability. Design: Iron intake and serum ferritin, a quantitative marker of body iron stores, from 2 nationally representative studies of adults in the United Kingdom and Ireland and a trial in elderly people in Norfolk, United Kingdom, were used to develop a model to predict dietary iron absorption at different serum ferritin concentrations. Individuals who had raised inflammatory markers or were taking iron-containing supplements were excluded. Results: Mean iron intakes were 13.6, 10.3, and 10.9 mg/d and mean serum ferritin concentrations were 140.7, 49.4, and 96.7 mg/L in men, premenopausal women, and postmenopausal women, respectively. The model predicted that at serum ferritin concentrations of 15, 30, and 60 mg/L, mean dietary iron absorption would be 22.3%, 16.3%, and 11.6%, respectively, in men; 27.2%, 17.2%, and 10.6%, respectively, in premenopausal women; and 18.4%, 12.7%, and 10.5%, respectively, in postmenopausal women. Conclusions: An interactive program for calculating dietary iron absorption at any concentration of serum ferritin is presented. Differences in iron status are partly explained by age but also by diet, with meat being a key determinant. The effect of the diet is more marked at lower serum ferritin concentrations. The model can be applied to any adult population in whom representative, good-quality data on iron intake and iron status have been collected. Values for dietary iron bioavailability can be derived for any target concentration of serum ferritin, thereby giving risk managers and public health professionals a flexible and transparent basis on which to base their dietary recommendations. This trial was registered at clinicaltrials.gov as NCT01754012. |
format | Online Article Text |
id | pubmed-5533300 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | American Society for Nutrition |
record_format | MEDLINE/PubMed |
spelling | pubmed-55333002017-08-01 Modeling tool for calculating dietary iron bioavailability in iron-sufficient adults(1)(2)(3) Fairweather-Tait, Susan J Jennings, Amy Harvey, Linda J Berry, Rachel Walton, Janette Dainty, Jack R Am J Clin Nutr Nutritional Epidemiology and Public Health Background: Values for dietary iron bioavailability are required for setting dietary reference values. These are estimated from predictive algorithms, nonheme iron absorption from meals, and models of iron intake, serum ferritin concentration, and iron requirements. Objective: We developed a new interactive tool to predict dietary iron bioavailability. Design: Iron intake and serum ferritin, a quantitative marker of body iron stores, from 2 nationally representative studies of adults in the United Kingdom and Ireland and a trial in elderly people in Norfolk, United Kingdom, were used to develop a model to predict dietary iron absorption at different serum ferritin concentrations. Individuals who had raised inflammatory markers or were taking iron-containing supplements were excluded. Results: Mean iron intakes were 13.6, 10.3, and 10.9 mg/d and mean serum ferritin concentrations were 140.7, 49.4, and 96.7 mg/L in men, premenopausal women, and postmenopausal women, respectively. The model predicted that at serum ferritin concentrations of 15, 30, and 60 mg/L, mean dietary iron absorption would be 22.3%, 16.3%, and 11.6%, respectively, in men; 27.2%, 17.2%, and 10.6%, respectively, in premenopausal women; and 18.4%, 12.7%, and 10.5%, respectively, in postmenopausal women. Conclusions: An interactive program for calculating dietary iron absorption at any concentration of serum ferritin is presented. Differences in iron status are partly explained by age but also by diet, with meat being a key determinant. The effect of the diet is more marked at lower serum ferritin concentrations. The model can be applied to any adult population in whom representative, good-quality data on iron intake and iron status have been collected. Values for dietary iron bioavailability can be derived for any target concentration of serum ferritin, thereby giving risk managers and public health professionals a flexible and transparent basis on which to base their dietary recommendations. This trial was registered at clinicaltrials.gov as NCT01754012. American Society for Nutrition 2017-06 2017-04-05 /pmc/articles/PMC5533300/ /pubmed/28381473 http://dx.doi.org/10.3945/ajcn.116.147389 Text en © 2017 American Society for Nutrition http://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the CC-BY license (http://creativecommons.org/licenses/by/3.0/). |
spellingShingle | Nutritional Epidemiology and Public Health Fairweather-Tait, Susan J Jennings, Amy Harvey, Linda J Berry, Rachel Walton, Janette Dainty, Jack R Modeling tool for calculating dietary iron bioavailability in iron-sufficient adults(1)(2)(3) |
title | Modeling tool for calculating dietary iron bioavailability in iron-sufficient adults(1)(2)(3) |
title_full | Modeling tool for calculating dietary iron bioavailability in iron-sufficient adults(1)(2)(3) |
title_fullStr | Modeling tool for calculating dietary iron bioavailability in iron-sufficient adults(1)(2)(3) |
title_full_unstemmed | Modeling tool for calculating dietary iron bioavailability in iron-sufficient adults(1)(2)(3) |
title_short | Modeling tool for calculating dietary iron bioavailability in iron-sufficient adults(1)(2)(3) |
title_sort | modeling tool for calculating dietary iron bioavailability in iron-sufficient adults(1)(2)(3) |
topic | Nutritional Epidemiology and Public Health |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5533300/ https://www.ncbi.nlm.nih.gov/pubmed/28381473 http://dx.doi.org/10.3945/ajcn.116.147389 |
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