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The use of external within-person variance estimates to adjust nutrient intake distributions over time and across populations

Published online by Cambridge University Press:  02 January 2007

Lisa Jahns ,
Lenore Arab ,
Alicia Carriquiry  and
Barry M Popkin
Lisa Jahns
Affiliation:
Department of Nutrition, University of Tennessee, Knoxville, TN, USA
Lenore Arab
Affiliation:
Department of Epidemiology, School of Public Health, University of North Carolina, Chapel Hill, NC, USA
Alicia Carriquiry
Affiliation:
Department of Statistics, Iowa State University, Ames, IA, USA
Barry M Popkin*
Affiliation:
Department of Nutrition, School of Public Health, University of North Carolina, Chapel Hill, NC, USA Carolina Population Center, University of North Carolina at Chapel Hill, CB #8120 University Square, 123 W. Franklin Street, Chapel Hill, NC 27516-3997, USA
*
*Corresponding author: Email popkin@unc.edu
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Abstract

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Objective

To examine the utility of using external estimates of within-person variation to adjust usual nutrient intake distributions.

Design

Analyses of the prevalence of inadequate intake of an example nutrient by the Estimated Average Requirement (EAR) cut-point method using three different methods of statistical adjustment of the usual intake distribution of a single 24-hour recall in Russian children in 1996, using the Iowa State University method for adjustment of the distribution. First, adjusting the usual intake distribution with day 2 recalls from the same 1996 sample (the correct method) second, adjusting the distribution using external variance estimates derived from US children in 1996; and third, adjusting the distribution using external estimates derived from Russian children of the same age in 2000. We also present prevalence estimates based on naïve statistical analysis of the unadjusted distribution of intakes.

Setting/subjects

Children drawn from the Russia Longitudinal Monitoring Survey in 1996 and 2000 and from the 1996 Continuing Survey of Food Intakes by Individuals.

Results

When the EAR cut-point method is applied to a single recall, the resulting prevalence estimate in this study is inflated by 100–1300%. When the intake distribution is adjusted using an external variance estimate, the prevalence estimate is much less biased, suggesting that any adjustment may give less biased estimates than no adjustment.

Conclusions

In moderately large samples, adjusting distributions with external estimates of variances results in more reliable prevalence estimates than using 1–day data.

Keywords

ChildrenEstimated Average RequirementIntake distributionPC-SIDERussiaWithin-person variation
Type
Research Article
Information
Public Health Nutrition , Volume 8 , Issue 1 , February 2005 , pp. 69 - 76
Copyright
Copyright © CABI Publishing 2005

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