The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Underreporting of energy intake in repeated 24-hour recalls related to gender, age, weight status, day of interview, educational level, reported food intake, smoking habits and area of living
Open accessAbstract
Objective: The aims of the present study were (1) to evaluate the degree to which underreporting of energy intake by repeated 24-hour recalls was related to gender, age, weight status, day of interview, educational level, smoking habits and area of living, and (2) to compare the dietary characteristics of underreporters with those of others. Design: Cross-sectional study. Ten 24-hour recalls were performed during a one-year period. Setting: The Västerbotten intervention programme of cardiovascular disease and diabetes in Northern Sweden. Subjects: Ninety-four men and 99 women in four age groups: 30, 40, 50 and 60 years. Results: The prevalence of men and women with a food intake level (FIL; reported energy intake divided by estimated basal metabolic rate) below 1.2 was 44% and 47%, respectively. The youngest age group had higher FIL values than the oldest age group for both men (1.5 versus 1.1) and women (1.4 versus 1.1). The prevalence and magnitude of underreporting were directly related to body mass index (BMI; correlation coefficient: -0.47 (men) and -0.55 (women)). Smokers had a lower FIL value (1.1) than non-smokers (1.3). The nutrient density was lower for the group with high FIL values for protein and calcium and higher for fat and sucrose. The upper FIL group often had higher intake frequencies and larger portion sizes than the lower FIL group. Conclusions: Underreporting of energy intake is prevalent when 24-hour recalls are used, but the prevalence differs between sub-groups in the population. BMI was the main predictor of underreporting but also old age and smoking seem to contribute in this aspect. Socially desirable food items were not underreported to the same extent as socially undesirable food items. The intake frequencies and portion sizes partly explained the differences in FIL.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Weinberger, D. A., Schwartz, G. E., & Davidson, R. J. (1979) · Journal of Abnormal Psychology · doi:10.1037/0021-843x.88.4.369 · Cited by 1,083
Cited by
Addressing Current Criticism Regarding the Value of Self-Report Dietary Data
Subar, A. F., Freedman, L. S., Tooze, J. A., Kirkpatrick, S. I., Boushey, C., Neuhouser, M. L., Thompson, F. E., Potischman, N., Guenther, P. M., Tarasuk, V., et al. (2015) · The Journal of Nutrition · doi:10.3945/jn.115.219634 · Cited by 1,047
Johansson, I., Hallmans, G., Wikman, Å., Biessy, C., Riboli, E., & Kaaks, R. (2002) · Public Health Nutrition · doi:10.1079/phn2001315 · Cited by 366
Popkin, B. M., & Duffey, K. J. (2010) · The American Journal of Clinical Nutrition · doi:10.3945/ajcn.2009.28962 · Cited by 157
Barnard, N. D., Gloede, L., Cohen, J., Jenkins, D. J. A., Turner-McGrievy, G., Green, A. A., & Ferdowsian, H. (2009) · Journal of the American Dietetic Association · doi:10.1016/j.jada.2008.10.049 · Cited by 154
“Dietary intake was based on self-report, which is vulnerable to distortion based on participants’ tendency to provide socially desirable responses and to underreporting, especially in individuals with higher body mass indexes (28).”
BackgroundWesterterp, K. R. (2010) · Nutrition Reviews · doi:10.1111/j.1753-4887.2010.00270.x · Cited by 141
Metadata
- Authors
- Johansson, G., Wikman, Å., Åhrén, A.-M., Hallmans, G., & Johansson, I.
- Venue
- Public Health Nutrition
- Publisher
- Cambridge University Press (CUP)
- Published
- 2001-08
- Volume
- 4
- Issue
- 4
- Pages
- 919-927
- ISSN
- 1368-9800 (ISSN-L)
- 1475-2727
- OpenAlex
- W2097037258
- Cited by
- 389
- References
- 1
- FWCI
- 10.38
- Type
- journal article
- Language
- en
- Open access
- bronze
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Underreporting of energy intake in repeated 24-hour recalls related to gender, age, weight status, day of interview, educational level, reported food intake, smoking habits and area of living. https://app.cochat.ai/papers/10.1079/phn2001124
- The paper
- Johansson, G., Wikman, Å., Åhrén, A.-M., Hallmans, G., & Johansson, I. (2001). Underreporting of energy intake in repeated 24-hour recalls related to gender, age, weight status, day of interview, educational level, reported food intake, smoking habits and area of living. Public Health Nutrition. https://doi.org/10.1079/phn2001124
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.