Using intake biomarkers to evaluate the extent of dietary misreporting in a large sample of adults: the OPEN study.

By A. Subar, V. Kipnis, R. Troiano, D. Midthune, D. Schoeller, S. Bingham, Carolyn O Sharbaugh, J. Trabulsi, S. Runswick, R. Ballard‐Barbash and 2 more. American Journal of Epidemiology, 2003

1,086 citations recorded by the source corpus.

Subfields: Public Health, Environmental and Occupational Health

View Paper: https://www.semanticscholar.org/paper/7551553e5809afc93aa005c9d5d35758d6c26baf

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In Public Health, Environmental and Occupational Health

1. A. Subar
2. F. Thompson
3. S. Krebs-Smith
4. A. Moshfegh
5. D. Mozaffarian
6. J. Dwyer
7. Pierre Chandon
8. K. Dodd

Citations in the corpus

• Update on NHANES Dietary Data: Focus on Collection, Release, Analytical Considerations, and Uses to Inform Public Policy (2016, methodology): “This degree of underreporting was substantially lower than that achieved by other dietary intake instruments evaluated using doubly labeled water (32, 34, 36).”
• A new statistical method for estimating the usual intake of episodically consumed foods with application to their distribution. (2006, background): “Many recent studies with doubly labeled water have found misreporting of energy intake on both the 24-hour recall and FFQ, almost always in the direction of underreporting (11-14).”
• Statistical methods for estimating usual intake of nutrients and foods: a review of the theory. (2006, background): “Accordingly, the distributions estimated from 24-hour recalls—after adjustment for within-person variation using a method similar to that described in Figure 3—agreed with the biomarker-derived distributions much more closely than did the distributions estimated from FFQs.”
• The US Department of Agriculture Automated Multiple-Pass Method reduces bias in the collection of energy intakes. (2008, methodology): “Despite differences in the agreement between mean EI and TEE, the proportion of AERs is similar to that in the OPEN study (5), which classified 79% of men and 78% of women as AERs.”
• Misreporting of energy and micronutrient intake estimated by food records and 24 hour recalls, control and adjustment methods in practice (2009, background): “It is recommended to verify the completeness of urine collection by the para-aminobenzoic acid check: participants take a known amount of para-aminobenzoic acid as tablets and urinary recovery is assessed((13)).”
• The USDA Automated Multiple-Pass Method accurately estimates group total energy and nutrient intake. (2006, result): “USDA automated multiple-pass dietary recall 2597 Downloaded from https://academic.oup.com/jn/article-abstract/136/10/2594/4746702 by guest on 24 July 2018 AMPM in approximating group DLW TEE in this study exceeded that reported for women completing a forerunner of the AMPM in the OPEN Study (11): 10”
• Is Obesity Caused by Calorie Underestimation? A Psychophysical Model of Meal Size Estimation (2007, background): “This prediction relies on the wellestablished notion that high-BMI people tend to select larger meals than low-BMI people (Subar et al. 2003).”
• Dietary Assessment Methodology (2017, methodology): “One study showed that protein density (kcal of protein as a percentage of total kcal) was less problematic—a slight overestimation among women and similar estimates among men [72], and correlations of 0.”
• Global, regional and national sodium intakes in 1990 and 2010: a systematic analysis of 24 h urinary sodium excretion and dietary surveys worldwide (2013, methodology): “If a gold standard were specified for the national surveillance of sodium intakes it would likely entail the combination of repeated national probability sampling and the use of 24 h urine collections biochemically validated for completeness.(22) 40 To our knowledge, only the UK has implemented such”
• Higher diet quality is associated with decreased risk of all-cause, cardiovascular disease, and cancer mortality among older adults. (2014, methodology): “Limitations include the assessment of diet with an FFQ, a tool that is known to contain nondifferential measurement error, although energy adjustment may serve to mitigate some of this error (44,45).”