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标题：A Single-Carbon Stable Isotope Ratio Model Prediction Equation Can Estimate Self-Reported Added Sugars Intake in an Adult Population Living in Southwest Virginia
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作者：Valisa E. Hedrick ; Tanya M. Halliday ; Brenda M. Davy 等
期刊名称：Nutrients
电子版ISSN：2072-6643
出版年度：2021
卷号：13
期号：11
DOI：10.3390/nu13113842
语种：English
出版社：MDPI Publishing
摘要：The δ 13C value of blood is a novel proposed biomarker of added sugars (AS) intake. AS prediction equations using either a single- (δ 13C) or dual-isotope model (δ 13C and δ 15N) were previously developed in an adult population with high AS intake living in southwest Virginia (reference group). The purpose of this investigation was to test the δ 13C single- and δ 13C and δ 15N dual-isotope prediction equations for AS intake in adults with a lower mean AS intake and different demographic characteristics (test group). The blood samples for the reference ( n = 257 for single-isotope, n = 115 for dual-isotope) and test groups ( n = 56) were analyzed for δ 13C and δ 15N values using natural abundance stable isotope mass spectrometry and were compared to reported dietary AS intake. When the δ 13C single-isotope equation was applied to the test group, predicted AS intake was not significantly different from reported AS intake (mean difference ± standard error = −3.6 ± 5.5 g, Z = −0.55, p = 0.51). When testing the dual-isotope equation, predicted AS was different from reported AS intake (mean difference ± SEM = 13.0 ± 5.4 g, Z = −2.95, p = 0.003). δ 13C value was able to predict AS intake using a blood sample within this population subset. The single-isotope prediction equation may be an alternative method to assess AS intake and is more objective, cost-feasible, and efficient than traditional dietary assessment methods. However, more research is needed to assess this biomarker with rigorous study designs such as controlled feeding.
关键词：biomarker; added sugars; dietary assessment; carbon stable isotopes