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The δ 13 C value of blood is a novel proposed biomarker of added sugars (AS) intake. AS prediction equations using either a single- (δ 13 C) or dual-isotope model (δ 13 C and δ 15 N) 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 13 C single- and δ 13 C and δ 15 N 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 13 C and δ 15 N values using natural abundance stable isotope mass spectrometry and were compared to reported dietary AS intake. When the δ 13 C 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 13 C 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.

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A Single-Carbon Stable Isotope Ratio Model Prediction Equation Can Estimate Self-Reported Added Sugars Intake in an Adult Population Living in Southwest Virginia