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A complete diet-based algorithm for predicting nonheme iron absorption in adults.
J Nutr 2013; 143(7):1136-40JN

Abstract

Many algorithms have been developed in the past few decades to estimate nonheme iron absorption from the diet based on single meal absorption studies. Yet single meal studies exaggerate the effect of diet and other factors on absorption. Here, we propose a new algorithm based on complete diets for estimating nonheme iron absorption. We used data from 4 complete diet studies each with 12-14 participants for a total of 53 individuals (19 men and 34 women) aged 19-38 y. In each study, each participant was observed during three 1-wk periods during which they consumed different diets. The diets were typical, high, or low in meat, tea, calcium, or vitamin C. The total sample size was 159 (53 × 3) observations. We used multiple linear regression to quantify the effect of different factors on iron absorption. Serum ferritin was the most important factor in explaining differences in nonheme iron absorption, whereas the effect of dietary factors was small. When our algorithm was validated with single meal and complete diet data, the respective R(2) values were 0.57 (P < 0.001) and 0.84 (P < 0.0001). The results also suggest that between-person variations explain a large proportion of the differences in nonheme iron absorption. The algorithm based on complete diets we propose is useful for predicting nonheme iron absorption from the diets of different populations.

Authors+Show Affiliations

Department of Food Science and Human Nutrition, University of Kansas Medical Center, Kansas City, KS, USA.No affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info available

Pub Type(s)

Journal Article
Research Support, Non-U.S. Gov't

Language

eng

PubMed ID

23700342

Citation

Armah, Seth M., et al. "A Complete Diet-based Algorithm for Predicting Nonheme Iron Absorption in Adults." The Journal of Nutrition, vol. 143, no. 7, 2013, pp. 1136-40.
Armah SM, Carriquiry A, Sullivan D, et al. A complete diet-based algorithm for predicting nonheme iron absorption in adults. J Nutr. 2013;143(7):1136-40.
Armah, S. M., Carriquiry, A., Sullivan, D., Cook, J. D., & Reddy, M. B. (2013). A complete diet-based algorithm for predicting nonheme iron absorption in adults. The Journal of Nutrition, 143(7), pp. 1136-40. doi:10.3945/jn.112.169904.
Armah SM, et al. A Complete Diet-based Algorithm for Predicting Nonheme Iron Absorption in Adults. J Nutr. 2013;143(7):1136-40. PubMed PMID: 23700342.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - A complete diet-based algorithm for predicting nonheme iron absorption in adults. AU - Armah,Seth M, AU - Carriquiry,Alicia, AU - Sullivan,Debra, AU - Cook,James D, AU - Reddy,Manju B, Y1 - 2013/05/22/ PY - 2013/5/24/entrez PY - 2013/5/24/pubmed PY - 2013/8/27/medline SP - 1136 EP - 40 JF - The Journal of nutrition JO - J. Nutr. VL - 143 IS - 7 N2 - Many algorithms have been developed in the past few decades to estimate nonheme iron absorption from the diet based on single meal absorption studies. Yet single meal studies exaggerate the effect of diet and other factors on absorption. Here, we propose a new algorithm based on complete diets for estimating nonheme iron absorption. We used data from 4 complete diet studies each with 12-14 participants for a total of 53 individuals (19 men and 34 women) aged 19-38 y. In each study, each participant was observed during three 1-wk periods during which they consumed different diets. The diets were typical, high, or low in meat, tea, calcium, or vitamin C. The total sample size was 159 (53 × 3) observations. We used multiple linear regression to quantify the effect of different factors on iron absorption. Serum ferritin was the most important factor in explaining differences in nonheme iron absorption, whereas the effect of dietary factors was small. When our algorithm was validated with single meal and complete diet data, the respective R(2) values were 0.57 (P < 0.001) and 0.84 (P < 0.0001). The results also suggest that between-person variations explain a large proportion of the differences in nonheme iron absorption. The algorithm based on complete diets we propose is useful for predicting nonheme iron absorption from the diets of different populations. SN - 1541-6100 UR - https://www.unboundmedicine.com/medline/citation/23700342/A_complete_diet_based_algorithm_for_predicting_nonheme_iron_absorption_in_adults_ L2 - https://academic.oup.com/jn/article-lookup/doi/10.3945/jn.112.169904 DB - PRIME DP - Unbound Medicine ER -