Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Meta-Analysis
. 2014 Jul 15;180(2):172-88.
doi: 10.1093/aje/kwu116. Epub 2014 Jun 10.

Pooled results from 5 validation studies of dietary self-report instruments using recovery biomarkers for energy and protein intake

Meta-Analysis

Pooled results from 5 validation studies of dietary self-report instruments using recovery biomarkers for energy and protein intake

Laurence S Freedman et al. Am J Epidemiol. .

Abstract

We pooled data from 5 large validation studies of dietary self-report instruments that used recovery biomarkers as references to clarify the measurement properties of food frequency questionnaires (FFQs) and 24-hour recalls. The studies were conducted in widely differing US adult populations from 1999 to 2009. We report on total energy, protein, and protein density intakes. Results were similar across sexes, but there was heterogeneity across studies. Using a FFQ, the average correlation coefficients for reported versus true intakes for energy, protein, and protein density were 0.21, 0.29, and 0.41, respectively. Using a single 24-hour recall, the coefficients were 0.26, 0.40, and 0.36, respectively, for the same nutrients and rose to 0.31, 0.49, and 0.46 when three 24-hour recalls were averaged. The average rate of under-reporting of energy intake was 28% with a FFQ and 15% with a single 24-hour recall, but the percentages were lower for protein. Personal characteristics related to under-reporting were body mass index, educational level, and age. Calibration equations for true intake that included personal characteristics provided improved prediction. This project establishes that FFQs have stronger correlations with truth for protein density than for absolute protein intake, that the use of multiple 24-hour recalls substantially increases the correlations when compared with a single 24-hour recall, and that body mass index strongly predicts under-reporting of energy and protein intakes.

Keywords: 24-hour recall; attenuation factors; calibration equations; dietary measurement error; food frequency questionnaire; under-reporting.

PubMed Disclaimer

References

    1. Willett WC. Nutritional Epidemiology. 3rd ed. New York: Oxford University Press; 2013.
    1. Thompson FE, Subar AF. Dietary assessment methodology. In: Coulston AM, Boushey CJ, Ferruzzi MG, editors. Nutrition in the Prevention and Treatment of Disease. 3rd ed. San Diego, CA: Academic Press; 2013. pp. 3–40.
    1. Willett WC, Sampson L, Stampfer MJ, et al. Reproducibility and validity of a semiquantitative food frequency questionnaire. Am J Epidemiol. 1985;122(1):51–65. - PubMed
    1. Slimani N, Kaaks R, Ferrari P, et al. European Prospective Investigation Into Cancer and Nutrition (EPIC) Calibration Study: rationale, design and population characteristics. Public Health Nutr. 2002;5(6B):1125–1145. - PubMed
    1. Kaaks R, Ferrari P, Ciampi A, et al. Uses and limitations of statistical accounting for random error correlations, in the validation of dietary questionnaire assessments. Public Health Nutr. 2002;5(6A):969–976. - PubMed

Publication types