Skip to Main Content

An official website of the United States government

Evaluation of measurement errors in total sugars and animal protein intakes assessed by self-reported dietary instruments using dietary biomarkers

Principal Investigator
Name
Natasha Tasevska
Degrees
M.D., Ph.D.
Institution
Arizona State University
Position Title
Associate Professor
Email
About this CDAS Project
Study
IDATA (Learn more about this study)
Project ID
2021-1004
Initial CDAS Request Approval
Apr 1, 2022
Title
Evaluation of measurement errors in total sugars and animal protein intakes assessed by self-reported dietary instruments using dietary biomarkers
Summary
We recently confirmed 24-h urinary sucrose and fructose (24uSF) as a biomarker of total sugars (TS) intake in a controlled feeding study with 100 participants 19 – 70 years old (Tasevska et al, 2021). A linear mixed model of total sugar intake, adjusted for age and sex explained 56% of the variance in 24uSF. We also identified serum carbon isotope ratio (CIR) as a candidate biomarker for animal to total protein ratio (APR) (Yun et al, 2018; O’Brien et al, in preparation). Animal to total protein intake ratio adjusted for age, sex, body weight, and serum nitrogen isotope ratio (NIR) explained 77% of the variance in serum CIR biomarker, in a regression model. Given the strong associations between these biomarkers and their respective dietary intake, we have generated equations for calibration of the biomarkers that allow for estimating biomarker-based intake that can be used in future population studies with available biological samples.
The purpose of this proposal is to apply these two biomarkers ‘in a real-world setting’ using data from IDATA, an existing large dietary validation study with free-living individuals and assess measurement error in dietary self-reports. The IDATA presents an excellent opportunity for this endeavor, given its comprehensive validation protocol, and availability of urine and serum samples, and repeated measures of multiple self-reports and recovery biomarkers (Park et al, 2018). We plan to fund urinary sugars and serum isotope analyses by applying for an NIH grant as a part of U01-CA197902 renewal.

References:
1. Park Y, Dodd KW, Kipnis V, Thompson FE, Potischman N, Schoeller DA, et al. Comparison of self-reported dietary intakes from the Automated Self-Administered 24-h recall, 4-d food records, and food-frequency questionnaires against recovery biomarkers. Am J Clin Nutr 2018;107(1):80-93.
2. Tasevska N, Sagi-Kiss V, Palma Duran SA, Barrett B, Chaloux M, Commins J, O’Brien D, Johnston CS, Midthune D, Kipinis V, Freedman LS. Investigating the performance of twenty-four-hour urinary sucrose and fructose as a biomarker of total sugars intake in US participants - a controlled feeding study. Am J Clin Nutr 2021 May 24;nqab158. doi: 10.1093/ajcn/nqab158. Online ahead of print.
3. Yun HY, Lampe JW, Tinker LF, Neuhouser ML, Beresford SAA, Niles KR, et al. Serum Nitrogen and Carbon Stable Isotope Ratios Meet Biomarker Criteria for Fish and Animal Protein Intake in a Controlled Feeding Study of a Women's Health Initiative Cohort. J Nutr 2018;148(12):1931-7.
Aims

1) To assess the measurement error structure in total sugars intake assessed by 24-h dietary recall (ASA24), 4d food record and Diet History Questionnaire (DHQ) using 24uSF biomarker.
2) To assess measurement error structure in animal protein intake (as an APR) assessed by 24-h dietary recall, 4d food record and DHQ using serum CIR biomarker.
3) To examine participants’ characteristics associated with misreporting of total sugars, animal and total protein intakes.
4) To generate regression calibration equations for total sugars, animal and plant-based protein (i.e., subtract animal protein from total protein) that could be applied in future AARP diet-disease association studies to calibrate DHQ-based dietary intake and allow for more reliable disease risk estimation.

Collaborators

Natasha Tasevska (Arizona State University)
Diane O'Brien (University of Alaska Fairbanks)
Laurence Freedman (Gertner Institute for Epidemiology and Health Policy, Israel)
Yikyng Park (Washington University in St. Louis)
Shu Jiang (Washington University in St. Louis)