The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Dietary assessment methods in epidemiologic studies
Open accessAbstract
Diet is a major lifestyle-related risk factor of various chronic diseases. Dietary intake can be assessed by subjective report and objective observation. Subjective assessment is possible using open-ended surveys such as dietary recalls or records, or using closed-ended surveys including food frequency questionnaires. Each method has inherent strengths and limitations. Continued efforts to improve the accuracy of dietary intake assessment and enhance its feasibility in epidemiological studies have been made. This article reviews common dietary assessment methods and their feasibility in epidemiological studies.
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
Reproducibility and validity of a semiquantitative food frequency questionnaire
WILLETT, W. C., SAMPSON, L., STAMPFER, M. J., ROSNER, B., BAIN, C., WITSCHI, J., HENNEKENS, C. H., & SPEIZER, F. E. (1985) · American Journal of Epidemiology · doi:10.1093/oxfordjournals.aje.a114086 · Cited by 4,274
The Causes of Cancer: Quantitative Estimates of Avoidable Risks of Cancer in the United States Today
Doll, R., & Peto, R. (1981) · JNCI: Journal of the National Cancer Institute · doi:10.1093/jnci/66.6.1192 · Cited by 3,927 · cited 1×
“Changes in dietary habits have been found to reduce cancer incidence by one-third [1].”
BackgroundReproducibility and validity of dietary patterns assessed with a food-frequency questionnaire
Hu, F. B., Rimm, E., Smith-Warner, S. A., Feskanich, D., Stampfer, M. J., Ascherio, A., Sampson, L., & Willett, W. C. (1999) · The American Journal of Clinical Nutrition · doi:10.1093/ajcn/69.2.243 · Cited by 1,165
The Dietary History as a Tool in Research1
BURKE, B. S. (1947) · Journal of the American Dietetic Association · doi:10.1016/s0002-8223(21)43949-0 · Cited by 625
New technology in dietary assessment: a review of digital methods in improving food record accuracy
Stumbo, P. J. (2013) · Proceedings of the Nutrition Society · doi:10.1017/s0029665112002911 · Cited by 146
Luke, A., Bovet, P., Forrester, T. E., Lambert, E. V., Plange-Rhule, J., Schoeller, D. A., Dugas, L. R., Durazo-Arvizu, R. A., Shoham, D., Cooper, R. S., et al. (2011) · BMC Public Health · doi:10.1186/1471-2458-11-927 · Cited by 82
Cited by
Precision nutrition: A systematic literature review
Kirk, D., Catal, C., & Tekinerdogan, B. (2021) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2021.104365 · Cited by 238
The Shape of the Dose-Response Relationship between Sugars and Caries in Adults
Bernabé, E., Vehkalahti, M. M., Sheiham, A., Lundqvist, A., & Suominen, A. L. (2016) · Journal of Dental Research · doi:10.1177/0022034515616572 · Cited by 145
Farsijani, S., Morais, J. A., Payette, H., Gaudreau, P., Shatenstein, B., Gray-Donald, K., & Chevalier, S. (2016) · The American Journal of Clinical Nutrition · doi:10.3945/ajcn.116.130716 · Cited by 136
Maugeri, A., & Barchitta, M. (2019) · Nutrients · doi:10.3390/nu11112696 · Cited by 111
Abdollahi, S., Soltani, S., de Souza, R. J., Forbes, S. C., Toupchian, O., & Salehi-Abargouei, A. (2021) · Advances in Nutrition · doi:10.1093/advances/nmaa156 · Cited by 91
Metadata
- Authors
- Shim, J.-S., Oh, K., & Kim, H. C.
- Venue
- Epidemiology and Health
- Publisher
- Korean Society of Epidemiology
- Published
- 2014-07-22
- Volume
- 36
- Pages
- e2014009
- ISSN
- 1225-3596 (ISSN-L)
- 2092-7193
- OpenAlex
- W2051639587
- Cited by
- 1,545
- References
- 6
- FWCI
- 32.78
- Type
- journal article
- Language
- en
- Open access
- diamond
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: Dietary assessment methods in epidemiologic studies. https://app.cochat.ai/papers/10.4178/epih/e2014009
- The paper
- Shim, J.-S., Oh, K., & Kim, H. C. (2014). Dietary assessment methods in epidemiologic studies. Epidemiology and Health. https://doi.org/10.4178/epih/e2014009
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.