Markers of the validity of reported energy intake.

By M. Livingstone, A. Black. Journal of NutriLife, 2003

1,144 citations recorded by the source corpus.

Subfields: Nutrition and Dietetics, Public Health, Environmental and Occupational Health

View Paper: https://www.semanticscholar.org/paper/90bc8c83b44394c770ad627aec51592e2bb543bb

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Citations in the corpus

The Biasing Health Halos of Fast Food Restaurant Health Claims: Lower Calorie Estimates and Higher Side-Dish Consumption Intentions (2007, background): “In the absence of nutrition information, it is very difficult to estimate calorie content through visual inspection or sensory satiation (Chandon and Wansink 2007; Livingstone and Black 2003).”
Is There a Daily Discount Rate? Evidence from the Food Stamp Nutrition Cycle (2005, background): “Adding these controls increases the fit of the model considerably but has only a tiny effect on the coefficient of interest, moving it to a 0.40 percent daily decline.”
The Finnish Diabetes Prevention Study (DPS): Lifestyle intervention and 3-year results on diet and physical activity. (2003, background): “A well-known phenomenon in dietary analyses is underreporting, which is even more prominent in overweight individuals (26).”
The US Department of Agriculture Automated Multiple-Pass Method reduces bias in the collection of energy intakes. (2008, methodology): “Analyses compared reported EI with total energy expenditure (TEE) by using the doubly labeled water (DLW) technique, which has been shown to provide an accurate measure of the TEE in free-living subjects (13, 14).”
The “Fair Trade” Effect (2012, methodology): “We use this rating measure instead of open-ended calorie estimates because the latter are cognitively difficult and yield greater variance that can make it difficult to detect effects (Berman & Lavizzo-Mourey, 2008; Livingstone & Black, 2003).”
Sugar consumption, metabolic disease and obesity: The state of the controversy (2015, positive): “This is unlikely to be true as inaccurate reporting of food consumption is a well-documented occurrence in dietary research studies (89, 90).”
Misreporting of energy and micronutrient intake estimated by food records and 24 hour recalls, control and adjustment methods in practice (2009, methodology): “Four models have been proposed for accounting for total EI when one is examining the effect of nutrients on disease outcomes: the standard multivariate model; the energy-partition model; the nutrient density model; the residual model((40)).”
Dietary Assessment Methodology (2017, background): “These are total energy expenditure from doubly labeled water for energy [35], and protein (nitrogen) [36], potassium [37], and sodium based on 24-hour urine collections [38].”
EBPG guideline on nutrition. (2007, background): “Precision of food reports are limited and may artefactually underestimate patients’ true energy intake, the magnitude of underestimation being greater in patients with larger BMIs, in both men and women [58].”
APPETITE CONTROL: METHODOLOGICAL ASPECTS OF THE EVALUATION OF FOODS (2010, background): “Errors in data collection are high, particularly in measurements of habitual food intake that are prone to bias, usually towards under-reporting of energy and differential mis-reporting of the macronutrients (31).”
Is Obesity Caused by Calorie Underestimation? A Psychophysical Model of Meal Size Estimation (2007, background): “…that compares actual caloric intake (measured using “doubly labeled water” [DLW] biomarkers) with self-reported estimates of intake (measured in calories, volume, or frequency) for people with high and low body masses (Lansky and Brownell 1982; Livingstone and Black 2003; Tooze et al. 2004).”