CoChat
Sign Up
Cited by 496Nutritional Studies and DietNutrition, Health and Food BehaviorBody Composition Measurement Techniques

Limitations in the assessment of dietary energy intake by self-report

Schoeller, Dale A.·1995·Metabolism
DOI 10.1016/0026-0495(95)90204-x
Open this paper in CoChat — free account

Abstract

Development of the doubly-labeled water method has made it possible to test the validity of dietary intake instruments for the measurement of energy intake. Comparisons of measured energy expenditure with energy intake from either weighed or estimated dietary records against energy expenditure have indicated that obese subjects, female endurance athletes, and adolescents underestimate habitual and actual energy intake. Individual underestimates of 50% are not uncommon. Even in non-obese adults, where bias is minimal, the standard deviation for individual errors in energy intake approaches 20%. Two investigations of the validity of self-reported dietary records for measuring change in dietary intake also indicate large underestimates of the actual change. Because of bias and imprecision, self-reported energy intakes should be interpreted with caution unless independent methods of assessing their validity are included in the experimental design.

Integrity signals

Registry

Crossref · 10.1016/0026-0495(95)90204-x

Cites

31 of 31 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Dietary monitoring is critical in patients with diabetes, especially as self-reporting of food intake is inaccurate and often impractical; therefore, it is necessary to develop an automated solution for dietary monitoring.

    “Dietary monitoring is critical in patients with diabetes, especially as self-reporting of food intake is inaccurate and often impractical59; therefore, it is necessary to develop an automated solution for dietary monitoring.”

    From Artificial intelligence in diabetes management: Advancements, opportunities, and challenges (2023) · cites this paper as [59]

  • The proportion of the weekend weight increase attributable to higher dietary intake versus lower physical activity cannot be determined with certainty, because self-reported dietary intake accuracy varies between individuals and accelerometers may not detect small day-to-day differences in physical activity.

    “First, we cannot determine with certainty what proportion of the weekend weight increase was attributable to higher dietary intake or lower physical activity relative to weekdays, as the accuracy of self-reported dietary intake is variable between individuals (14-16), and the accelerometers may not be sensitive enough to detect small day-to-day differences in physical activity (17,18).”

    From Influence of Weekend Lifestyle Patterns on Body Weight (2008) · cites this paper as [14]

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Related

Authors
Schoeller, D. A.
Affiliations
University of Chicago (US)
Corresponding author
Schoeller, Dale A.
ORCID
Schoeller, Dale A.
Venue
Metabolism
Publisher
Elsevier BV
Published
1995-02
Volume
44
Issue
2 Suppl 2
Pages
18-22
ISSN
0026-0495 (ISSN-L)
DOI
10.1016/0026-0495(95)90204-x
OpenAlex
W2089295051
Cited by
496
References
31
Citations by year
2026: 11 · 2025: 16 · 2024: 10 · 2023: 12 · 2022: 15 · 2021: 25 · 2020: 17 · 2019: 21 · 2018: 20 · 2017: 33 · 2016: 28 · 2015: 25 · 2014: 28 · 2013: 24 · 2012: 26
FWCI
2.68
Type
journal article
Language
en
Open access
closed
Licence
Locations
  • Metabolism (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • National Institutes of Health (5p30dk026678-20)
  • National Institute of Diabetes and Digestive and Kidney Diseases (DK-26678, DK-30031, R01DK030031)
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 › Physiology › Body Composition Measurement Techniques
Keywords
energy intake, self-report, dietary assessment validity, doubly labeled water, energy expenditure, underestimation bias, weighed dietary records, obesity, female endurance athletes, adolescents, measurement error
MeSH terms
Adolescent, Energy Intake, Child, Energy Metabolism, Female, Humans, Obesity, Exercise, Diet Records

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 ›

Are you an author, or do you see a problem with this page? Request a review