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Cited by 308

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Starch intake and colorectal cancer risk: an international comparison

Open access
Cassidy, A, Bingham, SA, Cummings, JH·1994·British Journal of Cancer

Abstract

Intakes of starch, non-starch polysaccharides (NSPs), protein and fat have been compared with colorectal cancer incidence in 12 populations worldwide. There were strong inverse associations between starch consumption and large bowel cancer incidence (large bowel r = -0.70, colon r = -0.76). There was no significant relation with NSPs, although the association with large bowel cancer incidence was still significant when NSP was combined with resistant starch (RS) to give an estimate of fermentable carbohydrate (large bowel r = -0.52, colon r = -0.60). The relationships between starch, RS and NSPs and cancer incidence remained statistically significant after adjusting for fat and protein intakes. The strong inverse associations found here suggest a potentially important role for starch in protection against colorectal cancer and correspond with the hypothesis that fermentation in the colon is the mechanism for preventing colorectal cancer. Measures of both starch and NSPs need to be included in future epidemiological studies of diet and bowel cancer.

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Metadata

Authors
Cassidy, A., Bingham, S., & Cummings, J.
Venue
British Journal of Cancer
Published
1994-05
Volume
69
Issue
5
Pages
937-942
ISSN
  • 0007-0920 (ISSN-L)
  • 1532-1827
OpenAlex
W2088621203
Cited by
308
References
2
FWCI
11.49
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Starch intake and colorectal cancer risk: an international comparison. https://app.cochat.ai/papers/10.1038/bjc.1994.181
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Cassidy, A., Bingham, S., & Cummings, J. (1994). Starch intake and colorectal cancer risk: an international comparison. British Journal of Cancer. https://doi.org/10.1038/bjc.1994.181

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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.