The DOI matches its Crossref record; 55 of the 55 references it cites were found in a registry or an index.
Ultra-processed foods in human health: a critical appraisal
Open accessOverview
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
The UN Decade of Nutrition, the NOVA food classification and the trouble with ultra-processing
Monteiro, C. A., Cannon, G., Moubarac, J.-C., Levy, R. B., Louzada, M. L. C., & Jaime, P. C. (2018) · Public Health Nutrition · doi:10.1017/s1368980017000234 · Cited by 2,333
Ultra‐processed products are becoming dominant in the global food system
Monteiro, C. A., Moubarac, J. ‐., Cannon, G., Ng, S. W., & Popkin, B. (2013) · Obesity Reviews · doi:10.1111/obr.12107 · Cited by 1,827
A new classification of foods based on the extent and purpose of their processing
Monteiro, C. A., Levy, R. B., Claro, R. M., Castro, I. R. R. D., & Cannon, G. (2010) · Cadernos de Saúde Pública · doi:10.1590/s0102-311x2010001100005 · Cited by 991
Martínez Steele, E., Baraldi, L. G., Louzada, M. L. D. C., Moubarac, J.-C., Mozaffarian, D., & Monteiro, C. A. (2016) · BMJ Open · doi:10.1136/bmjopen-2015-009892 · Cited by 838
Consumption of ultra-processed foods and obesity in Brazilian adolescents and adults
Louzada, M. L. D. C., Baraldi, L. G., Steele, E. M., Martins, A. P. B., Canella, D. S., Moubarac, J.-C., Levy, R. B., Cannon, G., Afshin, A., Imamura, F., et al. (2015) · Preventive Medicine · doi:10.1016/j.ypmed.2015.07.018 · Cited by 656
Martínez Steele, E., Popkin, B. M., Swinburn, B., & Monteiro, C. A. (2017) · Population Health Metrics · doi:10.1186/s12963-017-0119-3 · Cited by 585 · cited 2×
“For example, in one study (25), across quintiles of UPFD intake (percentage of contribution to energy intake), the percentage of energy from total fat increased from 31.”
BackgroundMethodMoubarac, J.-C., Parra, D. C., Cannon, G., & Monteiro, C. A. (2014) · Current Obesity Reports · doi:10.1007/s13679-014-0092-0 · Cited by 542
Ello-Martin, J. A., Ledikwe, J. H., & Rolls, B. J. (2005) · The American Journal of Clinical Nutrition · doi:10.1093/ajcn/82.1.236s · Cited by 513
A satiety index of common foods.
Holt, S., Miller, J. C., Petocz, P., & Farmakalidis, E. (1995) · PubMed · Cited by 498
Rauber, F., Campagnolo, P. D. B., Hoffman, D. J., & Vitolo, M. R. (2015) · Nutrition, Metabolism and Cardiovascular Diseases · doi:10.1016/j.numecd.2014.08.001 · Cited by 488
Cited by
Hall, K. D., Ayuketah, A., Brychta, R., Cai, H., Cassimatis, T., Chen, K. Y., Chung, S. T., Costa, E., Courville, A., Darcey, V., et al. (2019) · Cell Metabolism · doi:10.1016/j.cmet.2019.05.008 · Cited by 1,971
Self-citationLane, M. M., Gamage, E., Du, S., Ashtree, D. N., McGuinness, A. J., Gauci, S., Baker, P., Lawrence, M., Rebholz, C. M., Srour, B., et al. (2024) · BMJ · doi:10.1136/bmj-2023-077310 · Cited by 1,153
The Western Diet–Microbiome-Host Interaction and Its Role in Metabolic Disease
Zinöcker, M. K., & Lindseth, I. A. (2018) · doi:10.20944/preprints201803.0064.v1 · Cited by 776
An investigation of the formulation and nutritional composition of modern meat analogue products
Bohrer, B. M. (2019) · Food Science and Human Wellness · doi:10.1016/j.fshw.2019.11.006 · Cited by 593
Martini, D., Godos, J., Bonaccio, M., Vitaglione, P., & Grosso, G. (2021) · Nutrients · doi:10.3390/nu13103390 · Cited by 481
Metadata
- Authors
- Gibney, M. J., Forde, C. G., Mullally, D., & Gibney, E. R.
- Venue
- The American Journal of Clinical Nutrition
- Publisher
- Elsevier BV
- Published
- 2017-03
- Volume
- 106
- Issue
- 3
- Pages
- 717-724
- ISSN
- 0002-9165 (ISSN-L)
- OpenAlex
- W2744273413
- Cited by
- 287
- References
- 55
- FWCI
- 17.67
- 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: Ultra-processed foods in human health: a critical appraisal. https://app.cochat.ai/papers/10.3945/ajcn.117.160440
- The paper
- Gibney, M. J., Forde, C. G., Mullally, D., & Gibney, E. R. (2017). Ultra-processed foods in human health: a critical appraisal. The American Journal of Clinical Nutrition. https://doi.org/10.3945/ajcn.117.160440
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.