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Update on NHANES Dietary Data: Focus on Collection, Release, Analytical Considerations, and Uses to Inform Public Policy

Overview
Journal Adv Nutr
Publisher Elsevier
Date 2016 Jan 17
PMID 26773020
Citations 414
Authors
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Abstract

NHANES is the cornerstone for national nutrition monitoring to inform nutrition and health policy. Nutritional assessment in NHANES is described with a focus on dietary data collection, analysis, and uses in nutrition monitoring. NHANES has been collecting thorough data on diet, nutritional status, and chronic disease in cross-sectional surveys with nationally representative samples since the early 1970s. Continuous data collection began in 1999 with public data release in 2-y cycles on ∼10,000 participants. In 2002, the Continuing Survey of Food Intakes by Individuals and the NHANES dietary component were merged, forming a consolidated dietary data collection known as What We Eat in America; since then, 24-h recalls have been collected on 2 d using the USDA's Automated Multiple-Pass Method. Detailed and targeted food-frequency questionnaires have been collected in some NHANES cycles. Dietary supplement use data have been collected (in detail since 2007) so that total nutrient intakes can be described for the population. The continuous NHANES can adapt its content to address emerging public health needs and reflect federal priorities. Changes in data collection methods are made after expert input and validation/crossover studies. NHANES dietary data are used to describe intake of foods, nutrients, food groups, and dietary patterns by the US population and large sociodemographic groups to plan and evaluate nutrition programs and policies. Usual dietary intake distributions can be estimated after adjusting for day-to-day variation. NHANES remains open and flexible to incorporate improvements while maintaining data quality and providing timely data to track the nation's nutrition and health status. In summary, NHANES collects dietary data in the context of its broad, multipurpose goals; the strengths and limitations of these data are also discussed in this review.

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References
1.
Carroll R, Midthune D, Subar A, Shumakovich M, Freedman L, Thompson F . Taking advantage of the strengths of 2 different dietary assessment instruments to improve intake estimates for nutritional epidemiology. Am J Epidemiol. 2012; 175(4):340-7. PMC: 3271815. DOI: 10.1093/aje/kwr317. View

2.
Rhodes D, Murayi T, Clemens J, Baer D, Sebastian R, Moshfegh A . The USDA Automated Multiple-Pass Method accurately assesses population sodium intakes. Am J Clin Nutr. 2013; 97(5):958-64. DOI: 10.3945/ajcn.112.044982. View

3.
Freedman L, Guenther P, Krebs-Smith S, Dodd K, Midthune D . A population's distribution of Healthy Eating Index-2005 component scores can be estimated when more than one 24-hour recall is available. J Nutr. 2010; 140(8):1529-34. PMC: 2903306. DOI: 10.3945/jn.110.124594. View

4.
Kahn H, Gu Q, Bullard K, Freedman D, Ahluwalia N, Ogden C . Population distribution of the sagittal abdominal diameter (SAD) from a representative sample of US adults: comparison of SAD, waist circumference and body mass index for identifying dysglycemia. PLoS One. 2014; 9(10):e108707. PMC: 4182731. DOI: 10.1371/journal.pone.0108707. View

5.
Grandjean A . Dietary intake data collection: challenges and limitations. Nutr Rev. 2012; 70 Suppl 2:S101-4. DOI: 10.1111/j.1753-4887.2012.00545.x. View