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Markers of the Validity of Reported Energy Intake
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Energy intake (EI) is the foundation of the diet, because all other nutrients must be provided within the quantity of food needed to fulfill the energy requirement. Thus if total EI is underestimated, it is probable that the intakes of other nutrients are also underestimated. Under conditions of weight stability, EI equals energy expenditure (EE). Because at the group level weight may be regarded as stable in the timescale of a dietary assessment, the validity of reported EI can be evaluated by comparing it with either measured EE or an estimate of the energy requirement of the population. This paper provides the first comprehensive review of studies in which EI was reported and EE was measured using the doubly labeled water technique. These conclusively demonstrate widespread bias to the underestimation of EI. Because energy requirements of populations or individuals can be conveniently expressed as multiples of the basal metabolic rate (BMR), EE:BMR, reported EI may also be expressed as EI:BMR for comparison. Values of EI:BMR falling below the 95% confidence limit of agreement between these two measures signify the presence of underreporting. A formula for calculating the lower 95% confidence limit was proposed by Goldberg et al. (the Goldberg cutoff). It has been used by numerous authors to identify individual underreporters in different dietary databases to explore the variables associated with underreporting. These studies are also comprehensively reviewed. They explore the characteristics of underreporters and the biases in estimating nutrient intake and in describing meal patterns associated with underreporting. This review also examines some of the problems for the interpretation of data introduced by underreporting and particularly by variable underreporting across subjects. Future directions for research are identified.
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Under-reporting of energy intake is a common and well-known limitation of studies that assess dietary intakes.
“Under-reporting of EI is a common and well-known limitation of studies that assess dietary intakes( 107 ).”
From Understanding meal patterns: definitions, methodology and impact on nutrient intake and diet quality (2015) · cites this paper as [107]
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Metadata
- Authors
- Livingstone, M. B. E., & Black, A. E.
- Affiliations
- University of Ulster (GB)
- Venue
- The Journal of Nutrition
- Publisher
- Elsevier BV
- Published
- 2003-03
- Volume
- 133
- Issue
- 3
- Pages
- 895S-920S
- ISSN
- 0022-3166 (ISSN-L)
- OpenAlex
- W2110579950
- Cited by
- 1,081
- References
- 183
- Citations by year
- 2026: 33 · 2025: 27 · 2024: 19 · 2023: 30 · 2022: 39 · 2021: 49 · 2020: 53 · 2019: 55 · 2018: 40 · 2017: 60 · 2016: 63 · 2015: 78 · 2014: 51 · 2013: 69 · 2012: 68
- FWCI
- 34.54
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Journal of Nutrition (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Nutritional Studies and Diet
- Health Sciences › Nursing › Nutrition and Dietetics › Nutrition, Health and Food Behavior
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Nutrition and Health Studies
- Keywords
- energy intake, underreporting, energy expenditure, doubly labeled water, basal metabolic rate, energy requirements, meal patterns
- MeSH terms
- Adolescent, Basal Metabolism, Body Weight, Energy Intake, Child, Child, Preschool, Diet, Energy Metabolism, False Negative Reactions, Female, Humans, Infant, Isotope Labeling, Male, Nitrogen, Nutritional Physiological Phenomena, Reference Values, Sensitivity and Specificity, Water, Biomarkers, Nutrition Assessment
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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