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Carbon and Nitrogen Stable Isotope Ratios Predict Intake of Sweeteners in a Yup'ik Study Population

Overview of attention for article published in Journal of Nutrition, December 2012
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Article details
Title
Carbon and Nitrogen Stable Isotope Ratios Predict Intake of Sweeteners in a Yup'ik Study Population
Published in
Journal of Nutrition, December 2012
DOI 10.3945/jn.112.169425
Pubmed ID
Authors
Abstract

The carbon isotope ratio (δ¹³C) is elevated in corn- and cane sugar-based foods and has recently shown associations with sweetener intake in multiple U.S. populations. However, a high carbon isotope ratio is not specific to corn- and sugar cane-based sweeteners, as other foods, including meats and fish, also have elevated δ¹³C. This study examines whether the inclusion of a second marker, the nitrogen isotope ratio (δ¹⁵N), can control for confounding dietary effects on δ¹³C and improve the validity of isotopic markers of sweetener intake. The study participants are from the Yup'ik population of southwest Alaska and consume large and variable amounts of fish and marine mammals known to have elevated carbon and nitrogen isotope ratios. Sixty-eight participants completed 4 weekly 24-h recalls followed by a blood draw. RBC δ¹³C and δ¹⁵N were used to predict sweetener intake, including total sugars, added sugars, and sugar-sweetened beverages. A model including both δ¹³C and δ¹⁵N explained more than 3 times as much of the variation in sweetener intake than did a model using only δ¹³C. Because carbon and nitrogen isotope ratios are simultaneously determined in a single, high-throughput analysis, this dual isotope marker provides a simple method to improve the validity of stable isotope markers of sweetener intake with no additional cost. We anticipate that this multi-isotope approach will have utility in any population where a stable isotope biomarker is elevated in several food groups and there are appropriate "covariate" isotopes to control for intake of foods not of research interest.

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Geographical breakdown

Geographical breakdown
Country Count As %
Canada 2 3%
Japan 1 1%
Iran, Islamic Republic of 1 1%
United Kingdom 1 1%
Unknown 68 93%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 12 16%
Student > Bachelor 11 15%
Student > Ph. D. Student 11 15%
Student > Master 8 11%
Student > Postgraduate 4 5%
Other 13 18%
Unknown 14 19%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 14 19%
Medicine and Dentistry 11 15%
Social Sciences 6 8%
Environmental Science 5 7%
Nursing and Health Professions 4 5%
Other 11 15%
Unknown 22 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 19 January 2013.
All research outputs
#28,601,215
of 34,360,889 outputs
Outputs from Journal of Nutrition
#11,464
of 12,837 outputs
Outputs of similar age
#289,032
of 345,929 outputs
Outputs of similar age from Journal of Nutrition
#54
of 62 outputs
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