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Meat, fish, and ovarian cancer risk: Results from 2 Australian case-control studies, a systematic review, and meta-analysis.
Am J Clin Nutr 2010; 91(6):1752-63AJ

Abstract

BACKGROUND

Variation in meat and fish intakes has been associated with a risk of some cancers, but evidence for ovarian cancer is limited and inconsistent.

OBJECTIVE

We examined the association between intakes of total meat, red meat, processed meat, poultry, and fish and ovarian cancer risk.

DESIGN

Data came from 2 Australian population-based case-control studies conducted 10 y apart. Analyses included a total of 2049 cases and 2191 control subjects. We obtained dietary information via a food-frequency questionnaire. We estimated multivariable-adjusted odds ratios (ORs) for each study by using logistic regression and combined results of the 2 studies by using random-effects models. We also assembled the published evidence in a systematic review and meta-analysis.

RESULTS

Although there was no association between total or red meat intake and ovarian cancer risk, women with the highest intake of processed meat had a significantly increased risk of ovarian cancer in the 2 case-control studies (combined OR: 1.18; 95% CI: 1.15, 1.21) and the meta-analysis [7 studies; pooled relative risk (RR): 1.20; 95% CI: 1.07, 1.34]. In contrast, a frequent intake of poultry was associated with borderline significant reductions in risk in the 2 case-control studies (combined OR: 0.83; 95% CI: 0.67, 1.03) and the meta-analysis including 7 additional studies (pooled RR: 0.90; 95% CI: 0.79, 1.01). High fish intake was associated with a significantly reduced risk in the 2 case-control studies (combined OR: 0.76; 95% CI: 0.62, 0.94) and a smaller borderline significant reduction in the meta-analysis (6 additional studies; pooled RR: 0.84; 95% CI: 0.68, 1.03).

CONCLUSION

Our results suggest that low consumption of processed meat and higher consumption of poultry and fish may reduce the risk of ovarian cancer.

Authors+Show Affiliations

Queensland Institute of Medical Research, Brisbane, Queensland, Australia.No affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info available

Pub Type(s)

Journal Article
Meta-Analysis
Research Support, Non-U.S. Gov't
Review
Systematic Review

Language

eng

PubMed ID

20392889

Citation

Kolahdooz, Fariba, et al. "Meat, Fish, and Ovarian Cancer Risk: Results From 2 Australian Case-control Studies, a Systematic Review, and Meta-analysis." The American Journal of Clinical Nutrition, vol. 91, no. 6, 2010, pp. 1752-63.
Kolahdooz F, van der Pols JC, Bain CJ, et al. Meat, fish, and ovarian cancer risk: Results from 2 Australian case-control studies, a systematic review, and meta-analysis. Am J Clin Nutr. 2010;91(6):1752-63.
Kolahdooz, F., van der Pols, J. C., Bain, C. J., Marks, G. C., Hughes, M. C., Whiteman, D. C., & Webb, P. M. (2010). Meat, fish, and ovarian cancer risk: Results from 2 Australian case-control studies, a systematic review, and meta-analysis. The American Journal of Clinical Nutrition, 91(6), pp. 1752-63. doi:10.3945/ajcn.2009.28415.
Kolahdooz F, et al. Meat, Fish, and Ovarian Cancer Risk: Results From 2 Australian Case-control Studies, a Systematic Review, and Meta-analysis. Am J Clin Nutr. 2010;91(6):1752-63. PubMed PMID: 20392889.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Meat, fish, and ovarian cancer risk: Results from 2 Australian case-control studies, a systematic review, and meta-analysis. AU - Kolahdooz,Fariba, AU - van der Pols,Jolieke C, AU - Bain,Christopher J, AU - Marks,Geoffrey C, AU - Hughes,Maria Celia, AU - Whiteman,David C, AU - Webb,Penelope M, AU - ,, Y1 - 2010/04/14/ PY - 2010/4/16/entrez PY - 2010/4/16/pubmed PY - 2010/6/11/medline SP - 1752 EP - 63 JF - The American journal of clinical nutrition JO - Am. J. Clin. Nutr. VL - 91 IS - 6 N2 - BACKGROUND: Variation in meat and fish intakes has been associated with a risk of some cancers, but evidence for ovarian cancer is limited and inconsistent. OBJECTIVE: We examined the association between intakes of total meat, red meat, processed meat, poultry, and fish and ovarian cancer risk. DESIGN: Data came from 2 Australian population-based case-control studies conducted 10 y apart. Analyses included a total of 2049 cases and 2191 control subjects. We obtained dietary information via a food-frequency questionnaire. We estimated multivariable-adjusted odds ratios (ORs) for each study by using logistic regression and combined results of the 2 studies by using random-effects models. We also assembled the published evidence in a systematic review and meta-analysis. RESULTS: Although there was no association between total or red meat intake and ovarian cancer risk, women with the highest intake of processed meat had a significantly increased risk of ovarian cancer in the 2 case-control studies (combined OR: 1.18; 95% CI: 1.15, 1.21) and the meta-analysis [7 studies; pooled relative risk (RR): 1.20; 95% CI: 1.07, 1.34]. In contrast, a frequent intake of poultry was associated with borderline significant reductions in risk in the 2 case-control studies (combined OR: 0.83; 95% CI: 0.67, 1.03) and the meta-analysis including 7 additional studies (pooled RR: 0.90; 95% CI: 0.79, 1.01). High fish intake was associated with a significantly reduced risk in the 2 case-control studies (combined OR: 0.76; 95% CI: 0.62, 0.94) and a smaller borderline significant reduction in the meta-analysis (6 additional studies; pooled RR: 0.84; 95% CI: 0.68, 1.03). CONCLUSION: Our results suggest that low consumption of processed meat and higher consumption of poultry and fish may reduce the risk of ovarian cancer. SN - 1938-3207 UR - https://www.unboundmedicine.com/medline/citation/20392889/Meat_fish_and_ovarian_cancer_risk:_Results_from_2_Australian_case_control_studies_a_systematic_review_and_meta_analysis_ L2 - https://academic.oup.com/ajcn/article-lookup/doi/10.3945/ajcn.2009.28415 DB - PRIME DP - Unbound Medicine ER -