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Modeling tool for calculating dietary iron bioavailability in iron-sufficient adults.Am J Clin Nutr. 2017 06; 105(6):1408-1414.AJ
Abstract
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.Links
MeSH
Pub Type(s)
Clinical Trial
Journal Article
Research Support, Non-U.S. Gov't
Language
eng
PubMed ID
28381473
Clinical Trial Links
Citation
Fairweather-Tait, Susan J., et al. "Modeling Tool for Calculating Dietary Iron Bioavailability in Iron-sufficient Adults." The American Journal of Clinical Nutrition, vol. 105, no. 6, 2017, pp. 1408-1414.
Fairweather-Tait SJ, Jennings A, Harvey LJ, et al. Modeling tool for calculating dietary iron bioavailability in iron-sufficient adults. Am J Clin Nutr. 2017;105(6):1408-1414.
Fairweather-Tait, S. J., Jennings, A., Harvey, L. J., Berry, R., Walton, J., & Dainty, J. R. (2017). Modeling tool for calculating dietary iron bioavailability in iron-sufficient adults. The American Journal of Clinical Nutrition, 105(6), 1408-1414. https://doi.org/10.3945/ajcn.116.147389
Fairweather-Tait SJ, et al. Modeling Tool for Calculating Dietary Iron Bioavailability in Iron-sufficient Adults. Am J Clin Nutr. 2017;105(6):1408-1414. PubMed PMID: 28381473.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR
T1 - Modeling tool for calculating dietary iron bioavailability in iron-sufficient adults.
AU - Fairweather-Tait,Susan J,
AU - Jennings,Amy,
AU - Harvey,Linda J,
AU - Berry,Rachel,
AU - Walton,Janette,
AU - Dainty,Jack R,
Y1 - 2017/04/05/
PY - 2016/10/13/received
PY - 2017/03/06/accepted
PY - 2017/4/7/pubmed
PY - 2017/8/2/medline
PY - 2017/4/7/entrez
KW - bioavailability model
KW - dietary iron absorption
KW - dietary iron intake
KW - dietary reference values
KW - iron
KW - iron bioavailability
KW - iron intake
KW - serum ferritin
SP - 1408
EP - 1414
JF - The American journal of clinical nutrition
JO - Am J Clin Nutr
VL - 105
IS - 6
N2 - 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.
SN - 1938-3207
UR - https://www.unboundmedicine.com/medline/citation/28381473/Modeling_tool_for_calculating_dietary_iron_bioavailability_in_iron_sufficient_adults_
L2 - https://academic.oup.com/ajcn/article-lookup/doi/10.3945/ajcn.116.147389
DB - PRIME
DP - Unbound Medicine
ER -