The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Dietary under-reporting: what foods and which meals are typically under-reported?
Overview
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Integrity signals
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Verification
Claims the paper makes
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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?
In the citing paper
“In this regard, biases due to under or misreporting of, mainly, unhealthy foods are commonly found when dietary records are performed [40,41].”
From Nutritional Status and Implementation of a Nutritional Education Program in Young Female Artistic Gymnasts (2021) · cites this paper as [40]
In the citing paper
“when dietary records were performed in populations such as that used in the present study, under and miss-reporting biases could be produced [40,41]”
From Nutritional Status and Implementation of a Nutritional Education Program in Young Female Artistic Gymnasts (2021) · cites this paper as [40]
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
Subar, A. F., Kirkpatrick, S. I., Mittl, B., Zimmerman, T. P., Thompson, F. E., Bingley, C., Willis, G., Islam, N. G., Baranowski, T., McNutt, S., et al. (2012) · Journal of the Academy of Nutrition and Dietetics · doi:10.1016/j.jand.2012.04.016 · Cited by 934
Research works printed but not linked: 9
- Poslusna K, Ruprich J, De Vries JHM, Jakubikova M, Van't Veer P . Misreporting of energy and micronutrient intake estimated by food records and 24 hour recalls, control and adjustment methods in practice. Br J Nutr 2009; 101: S73–S85. · DOI · Paper page
- Gemming L, Rush E, Maddison R, Doherty A, Gant N, Utter J et al. Wearable cameras can reduce dietary under-reporting: doubly labelled water validation of a camera-assisted 24-hr recall. Br J Nutr 2015; 113: 284–291. · DOI
- O'Loughlin G, Cullen SJ, McGoldrick A, O'Connor S, Blain R, O'Malley S et al. Using a wearable camera to increase the accuracy of dietary analysis. Am J Prev Med 2013; 44: 297–301. · DOI
- Gemming L, Doherty A, Kelly P, Utter J, Ni Mhurchu C . Feasibility of a SenseCam-assisted 24-h recall to reduce under-reporting of energy intake. Eur J Clin Nutr 2013; 67: 1095–1099. · DOI
- Moshfegh AJ, Rhodes DG, Baer DJ, Murayi T, Clemens JC, Rumpler WV et al. The US department of agriculture automated multiple-pass method reduces bias in the collection of energy intakes. Am J Clin Nutr 2008; 88: 324–332. · DOI · Paper page
- Gemming L, Doherty A, Utter J, Shields E, Mhurchu CN . The use of a wearable camera to capture and categorise the environmental and social context of self-identified eating episodes. Appetite 2015; 92: 118–125. · DOI
- Gemming L, Utter J, Mhurchu CN . Image-assisted dietary assessment: a systematic review of the evidence. J Acad Nutr Diet 2015; 115: 64–77. · DOI · Paper page
- Bai Y, Li C, Yue Y, Jia W, Li J, Mao Z-H et al (eds). Designing a Wearable Computer for Lifestyle Evaluation. Bioengineering Conference (NEBEC), 2012 38th Annual Northeast; 2012 March 16-18: IEEE. · DOI
- Sun M, Fernstrom JD, Jia W, Hackworth SA, Yao N, Li Y et al. A wearable electronic system for objective dietary assessment. J Am Diet Assoc 2010; 110: 45–47. · DOI
Cited by
Eating patterns of US adults: meals, snacks, and time of eating
Kant, A. K. (2018) · Physiology & Behavior · doi:10.1016/j.physbeh.2018.03.022 · Cited by 113
Yasuda, J., Tomita, T., Arimitsu, T., & Fujita, S. (2020) · The Journal of Nutrition · doi:10.1093/jn/nxaa101 · Cited by 41
Aguilo, A., Lozano, L., Tauler, P., Nafría, M., Colom, M., & Martínez, S. (2021) · Nutrients · doi:10.3390/nu13051399 · Cited by 23
Metadata
- Authors
- Gemming, L., & Ni Mhurchu, C.
- Venue
- European Journal of Clinical Nutrition
- Published
- 2015-12-16
- Volume
- 70
- Issue
- 5
- Pages
- 640-641
- ISSN
- 0954-3007
- 1476-5640
- Cited by
- 92
- References
- 1
- Language
- en
- Licence
- www.springer.com/tdm (tdm)
- www.springer.com/tdm (vor)
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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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.
