Literature DB >> 15226478

Adjustments to improve the estimation of usual dietary intake distributions in the population.

Laurence S Freedman1, Douglas Midthune, Raymond J Carroll, Sue Krebs-Smith, Amy F Subar, Richard P Troiano, Kevin Dodd, Arthur Schatzkin, Sheila A Bingham, Pietro Ferrari, Victor Kipnis.   

Abstract

We reexamined the current practice in estimating the distribution of usual dietary nutrient intakes from population surveys when using self-report dietary instruments, particularly the 24-h recall (24HR), in light of the new data from the Observing Protein and Energy Nutrition Study. In this study, reference biomarkers for energy (doubly labeled water) and protein [urinary nitrogen (UN)], together with multiple FFQs and 24HRs, were administered to 484 healthy volunteers. By using the reference biomarkers to estimate the distributions for energy and protein, the data confirmed previous reports that FFQs generally do not give an accurate impression of the distribution of usual dietary intake. The traditional method applied to 24HRs performed poorly because of underestimating the mean and overestimating the SD of the usual energy and protein intake distributions, and, although the National Research Council and the Iowa State University methods generally give better estimates of the shape of the distribution, they did not improve the estimates of the mean (10-15% underestimation for energy and 6-7% underestimation for protein). Results for urinary potassium, a putative biomarker for potassium intake, and reported potassium intake did not display this underestimation and may reflect either differential underreporting of foods or inadequacy of the potassium biomarker. A large controlled feeding study is required to validate conclusively the potassium biomarker. For energy intake, adjusting its 24HR-based distribution by using the UN biomarker appeared to capture the usual intake distribution quite accurately. Incorporating UN assessments into nutritional surveys, therefore, deserves serious consideration.

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Year:  2004        PMID: 15226478     DOI: 10.1093/jn/134.7.1836

Source DB:  PubMed          Journal:  J Nutr        ISSN: 0022-3166            Impact factor:   4.798


  42 in total

1.  Americans do not meet federal dietary recommendations.

Authors:  Susan M Krebs-Smith; Patricia M Guenther; Amy F Subar; Sharon I Kirkpatrick; Kevin W Dodd
Journal:  J Nutr       Date:  2010-08-11       Impact factor: 4.798

2.  Measurement error of dietary self-report in intervention trials.

Authors:  Loki Natarajan; Minya Pu; Juanjuan Fan; Richard A Levine; Ruth E Patterson; Cynthia A Thomson; Cheryl L Rock; John P Pierce
Journal:  Am J Epidemiol       Date:  2010-08-18       Impact factor: 4.897

3.  Addressing Current Criticism Regarding the Value of Self-Report Dietary Data.

Authors:  Amy F Subar; Laurence S Freedman; Janet A Tooze; Sharon I Kirkpatrick; Carol Boushey; Marian L Neuhouser; Frances E Thompson; Nancy Potischman; Patricia M Guenther; Valerie Tarasuk; Jill Reedy; Susan M Krebs-Smith
Journal:  J Nutr       Date:  2015-10-14       Impact factor: 4.798

4.  Using Behavioral Risk Factor Surveillance System Data to Estimate the Percentage of the Population Meeting US Department of Agriculture Food Patterns Fruit and Vegetable Intake Recommendations.

Authors:  Latetia V Moore; Kevin W Dodd; Frances E Thompson; Kirsten A Grimm; Sonia A Kim; Kelley S Scanlon
Journal:  Am J Epidemiol       Date:  2015-05-01       Impact factor: 4.897

5.  Usual energy and macronutrient intakes in 2-9-year-old European children.

Authors:  C Börnhorst; I Huybrechts; A Hebestreit; V Krogh; A De Decker; G Barba; L A Moreno; L Lissner; M Tornaritis; H-M Loit; D Molnár; I Pigeot
Journal:  Int J Obes (Lond)       Date:  2014-09       Impact factor: 5.095

6.  Evaluation of measurement error in 24-hour dietary recall for assessing sodium and potassium intake among US adults - National Health and Nutrition Examination Survey (NHANES), 2014.

Authors:  Puthiery Va; Kevin W Dodd; Lixia Zhao; Angela M Thompson-Paul; Carla I Mercado; Ana L Terry; Sandra L Jackson; Chia-Yih Wang; Catherine M Loria; Alanna J Moshfegh; Donna G Rhodes; Mary E Cogswell
Journal:  Am J Clin Nutr       Date:  2019-06-01       Impact factor: 7.045

7.  Evaluation of the 24-Hour Recall as a Reference Instrument for Calibrating Other Self-Report Instruments in Nutritional Cohort Studies: Evidence From the Validation Studies Pooling Project.

Authors:  Laurence S Freedman; John M Commins; Walter Willett; Lesley F Tinker; Donna Spiegelman; Donna Rhodes; Nancy Potischman; Marian L Neuhouser; Alanna J Moshfegh; Victor Kipnis; David J Baer; Lenore Arab; Ross L Prentice; Amy F Subar
Journal:  Am J Epidemiol       Date:  2017-07-01       Impact factor: 4.897

8.  Estimated long-term dietary exposure to lead, cadmium, and mercury in young Korean children.

Authors:  D W Kim; H D Woo; J Joo; K S Park; S Y Oh; H J Kwon; J D Park; Y S Hong; S J Sohn; H J Yoon; M S Hwang; J Kim
Journal:  Eur J Clin Nutr       Date:  2014-06-25       Impact factor: 4.016

9.  Vegetables and Mixed Dishes Are Top Contributors to Phylloquinone Intake in US Adults: Data from the 2011-2012 NHANES.

Authors:  Stephanie G Harshman; Emily G Finnan; Kathryn J Barger; Regan L Bailey; David B Haytowitz; Cheryl H Gilhooly; Sarah L Booth
Journal:  J Nutr       Date:  2017-05-31       Impact factor: 4.798

10.  How many days was that? We're still not sure, but we're asking the question better!

Authors:  Tom Baranowski; Louise C Mâsse; Brian Ragan; Greg Welk
Journal:  Med Sci Sports Exerc       Date:  2008-07       Impact factor: 5.411

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