The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Dietary Risk Factors for Colon Cancer in a Low-risk Population
Open accessAbstract
In a 6-year prospective study, the authors examined the relation between diet and incident colon cancer among 32,051 non-Hispanic white cohort members of the Adventist Health Study (California, 1976-1982) who, at baseline, had no documented or reported history of cancer. The risk of colon cancer was determined from proportional hazards regression with adjustment for age and other covariates. The authors found a positive association with total meat intake (risk ratio (RR) for > or =1 time/week vs. no meat intake = 1.85, 95% confidence interval (CI) 1.19-2.87; p for trend = 0.01) and, among subjects who favored specific types of meat, positive associations with red meat intake (RR for > or =1 time/week vs. no red meat intake = 1.90, 95% CI 1.16-3.11; p for trend = 0.02) and white meat intake (RR for > or =1 time/week vs. no white meat intake = 3.29, 95% CI 1.60-6.75; p for trend = 0.006). An inverse association with legume intake (RR for >2 times/week vs. <1 time/week = 0.53, 95% CI 0.33-0.86; p for trend = 0.03) was observed. Among men, a positive association with body mass index was observed (relative to the RR for tertile III (>25.6 kg/m2) vs. tertile I (<22.5 kg/m2) = 2.63, 95% CI 1.12-6.13; p for trend = 0.05). A complex relation was identified whereby subjects exhibiting a high red meat intake, a low legume intake, and a high body mass experienced a more than threefold elevation in risk relative to all other patterns based on these variables. This pattern of putative risk factors would likely contribute to increases in both insulin resistance (high body mass, high red meat intake) and glycemic load (low legume intake), a synergism that, if causal, implicates hyperinsulinemic exposure in colon carcinogenesis. The overall findings from this cohort identify both red meat intake and white meat intake as important dietary risk factors for colon cancer and raise the possibility that the risk due to red meat intake reflects a more complex etiology.
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
Storlien, L. H., Jenkins, A. B., Chisholm, D. J., Pascoe, W. S., Khouri, S., & Kraegen, E. W. (1991) · Diabetes · doi:10.2337/diab.40.2.280 · Cited by 967
Fermentation in the human large intestine: evidence and implications for health
Cummings, J. (1983) · The Lancet · doi:10.1016/s0140-6736(83)92478-9 · Cited by 336
Cited by
Red and Processed Meat and Colorectal Cancer Incidence: Meta-Analysis of Prospective Studies
Chan, D. S. M., Lau, R., Aune, D., Vieira, R., Greenwood, D. C., Kampman, E., & Norat, T. (2011) · PLoS ONE · doi:10.1371/journal.pone.0020456 · Cited by 903
Meta-analyses of colorectal cancer risk factors
Johnson, C. M., Wei, C., Ensor, J. E., Smolenski, D. J., Amos, C. I., Levin, B., & Berry, D. A. (2013) · Cancer Causes & Control · doi:10.1007/s10552-013-0201-5 · Cited by 779
Health Benefits of Nut Consumption
Ros, E. (2010) · Nutrients · doi:10.3390/nu2070652 · Cited by 773
Nutrition and cancer: A review of the evidence for an anti-cancer diet
Donaldson, M. S. (2004) · Nutrition Journal · doi:10.1186/1475-2891-3-19 · Cited by 699
Nutrients, foods, and colorectal cancer prevention
Song, M., Garrett, W. S., & Chan, A. T. (2015) · Gastroenterology · doi:10.1053/j.gastro.2014.12.035 · Cited by 700
Metadata
- Authors
- Singh, P. N., & Fraser, G. E.
- Venue
- American Journal of Epidemiology
- Publisher
- Oxford University Press (OUP)
- Published
- 1998-10-15
- Volume
- 148
- Issue
- 8
- Pages
- 761-774
- ISSN
- 0002-9262 (ISSN-L)
- 1476-6256
- OpenAlex
- W2159232268
- Cited by
- 306
- References
- 3
- FWCI
- 10.62
- 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: Dietary Risk Factors for Colon Cancer in a Low-risk Population. https://app.cochat.ai/papers/10.1093/oxfordjournals.aje.a009697
- The paper
- Singh, P. N., & Fraser, G. E. (1998). Dietary Risk Factors for Colon Cancer in a Low-risk Population. American Journal of Epidemiology. https://doi.org/10.1093/oxfordjournals.aje.a009697
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.