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dc.contributor.authorDelimont, Nicole
dc.contributor.authorNickel, Sarah M.
dc.date.accessioned2020-07-09T15:12:18Z
dc.date.available2020-07-09T15:12:18Z
dc.date.issued2020-06-28
dc.identifier.citationDelimont, N.; Nickel, S. Food Pattern Modeling as an Alternative Assessment Method to Multiday Dietary Recalls for Iron-Related Nutrients: A Proof-of-Concept Study. Nutrients 2020, 12, 1911en_US
dc.identifier.issn2072-6643
dc.identifier.urihttps://doi.org/10.3390/nu12071911
dc.identifier.urihttps://soar.wichita.edu/handle/10057/18677
dc.description© 2020 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.en_US
dc.description.abstractThere are barriers to in-depth memory-based dietary assessment techniques in community-based research. Food pattern modeling may be an alternative method to traditional assessment techniques. The objective of this study was to pilot a comparison of food pattern modeling to 24 h diet recalls for predicting hematological outcomes of iron status. Data from 3–24 h dietary recalls in 27 women were analyzed by two methods: mean dietary intake estimates or food pattern modeling. Food pattern modeling was used to determine the total inventory of foods consumed with iron, phytate, or ascorbic acid or iron–phytate ratios. Each variable was analyzed for its relationship to hemoglobin, ferritin, and acute iron absorption from a meal challenge study by creating receiver operating characteristic (ROC) curves. There were no differences in ROC curves or diagnostic accuracies between food pattern modeling or mean dietary intake estimates for iron, vitamin C, phytate, or phytate–iron ratios for estimating hemoglobin or ferritin values (p > 0.05). Food pattern modeling was inferior to mean dietary estimates for acute iron absorption, suggesting that more detailed methods may be necessary for studies with sensitive or acute dietary measurement outcomes. Food pattern modeling for total iron, vitamin C, phytate, and phytate–iron ratios may be comparable to detailed memory-based recalls for larger studies assessing the impact of foods on iron status.en_US
dc.language.isoen_USen_US
dc.publisherMDPI AGen_US
dc.relation.ispartofseriesNutrients;v.12:no.7:art.no.1911
dc.subjectAscorbic aciden_US
dc.subjectDietary assessmenten_US
dc.subjectFood pattern modelingen_US
dc.subjectIronen_US
dc.subjectPhytateen_US
dc.titleFood pattern modeling as an alternative assessment method to multiday dietary recalls for iron-related nutrients: a proof-of-concept studyen_US
dc.typeArticleen_US
dc.rights.holder© 2020 by the authors. Licensee MDPIen_US


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