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Tea and cancer prevention: An evaluation of the epidemiologic literature

Open access
Kohlmeier, Lenore, Weterings, Karen G. C., Steck, Susan, Kok, Frans J.·1997·Nutrition and Cancer

Abstract

Animal and in vitro studies provide evidence of an anticarcinogenic potential of active ingredients in teas. This review encompasses epidemiologic studies of stomach, colon, and lung cancer as well as the evidence of a relationship between tea drinking and cancer at large in humans. Cohort studies do not suggest a protective role for tea drinking in the total risk of cancer. Site-specific studies reveal a more complex picture. The epidemiologic studies on tea drinking and stomach cancer do not justify claims of a cancer-protective effect. A protective effect of green tea on the development of colon cancer is suggested. The evidence regarding black tea is less clear, with some indication of a risk of colon or rectal cancer associated with regular use of black tea. The studies on tea and lung cancer also suggest an increased risk with increased tea consumption. The range and crude categorization of tea consumption, choice of control groups, and inadequate control for confounding might have obscured possible relationships. From the limited studies that suggest a favorable effect from tea, it is likely that benefits are restricted to high intakes in high-risk populations.

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Metadata

Authors
Kohlmeier, L., Weterings, K. G. C., Steck, S., & Kok, F. J.
Venue
Nutrition and Cancer
Published
1997-01
Volume
27
Issue
1
Pages
1-13
ISSN
  • 0163-5581 (ISSN-L)
  • 1532-7914
OpenAlex
W2049825917
Cited by
207
References
0
FWCI
11.89
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Tea and cancer prevention: An evaluation of the epidemiologic literature. https://app.cochat.ai/papers/10.1080/01635589709514494
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Kohlmeier, L., Weterings, K. G. C., Steck, S., & Kok, F. J. (1997). Tea and cancer prevention: An evaluation of the epidemiologic literature. Nutrition and Cancer. https://doi.org/10.1080/01635589709514494

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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.