Cancer Causes & Control

, 18:967 | Cite as

Consumption of animal foods and endometrial cancer risk: a systematic literature review and meta-analysis

  • Elisa V. BanderaEmail author
  • Lawrence H. Kushi
  • Dirk F. Moore
  • Dina M. Gifkins
  • Marjorie L. McCullough
Original Paper


This article summarizes and quantifies the current evidence relating dietary intake of animal products and endometrial cancer. Literature searches were conducted to identify peer-reviewed manuscripts published up to December 2006. Twenty-two manuscripts from three cohort studies and 16 case–control studies were identified. One of these cohort studies evaluated only fried meat and another only milk consumption; they were not included in our meta-analyses. The third cohort study identified did not present exposure levels and could not be included in dose–response meta-analysis. This cohort study did not show an association with meat or red meat consumption. Random-effects dose–response summary estimates for case–control studies evaluating these foods were 1.26 (95% CI: 1.03–1.54) per 100 g/day of total meat, 1.51 (95% CI: 1.19–1.93) per 100 g/day of red meat, 1.03 (95% CI: 0.32–3.28) per 100 g/day of poultry, 1.04 (95% CI: 0.55–1.98) per 100 g/day of fish, and 0.97 (95% CI: 0.93–1.01) per serving of dairy. Our meta-analysis, based on case–control data, suggests that meat consumption, particularly red meat, increases endometrial cancer risk. The current literature does not support an association with dairy products, while the evidence is inconsistent for poultry, fish, and eggs. More studies, particularly prospective studies, are needed.


Endometrial carcinoma Diet Meat Eggs Fish Poultry Dairy products Milk Animal foods Meta-analysis Systematic literature review 



World Cancer Research Fund International


American Institute for Cancer Research


Systematic Literature Review


Odds Ratio


Relative Risk


Confidence Interval


Food Frequency Questionnaire


Body Mass Index


Hormone Replacement Therapy



We would like to thank James Thomas for his valuable help with the data extraction Access® program.


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Copyright information

© Springer Science + Business Media B.V. 2007

Authors and Affiliations

  • Elisa V. Bandera
    • 1
    • 2
    Email author
  • Lawrence H. Kushi
    • 3
  • Dirk F. Moore
    • 2
  • Dina M. Gifkins
    • 1
  • Marjorie L. McCullough
    • 4
  1. 1.Robert Wood Johnson Medical SchoolThe Cancer Institute of New JerseyNew BrunswickUSA
  2. 2.School of Public HealthUniversity of Medicine and Dentistry of New JerseyPiscatawayUSA
  3. 3.Division of ResearchKaiser PermanenteOaklandUSA
  4. 4.Epidemiology and Surveillance ResearchAmerican Cancer SocietyAtlantaUSA

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