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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Claims other papers make about this one
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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
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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.
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Dietary under-reporting: what foods and which meals are typically under-reported? https://app.cochat.ai/papers/10.1038/ejcn.2015.204
- The paper
- Gemming, L., & Ni Mhurchu, C. (2016). Dietary under-reporting: what foods and which meals are typically under-reported? European Journal of Clinical Nutrition. https://doi.org/10.1038/ejcn.2015.204
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.
