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
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.
