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Published on: October 16, 2010
The dietary patterns are a modifying risk factor for breast cancer: An ecological study
L A Radkevich1, D A Radkevich2
1Center for Theoretical Problems of Physicochemical Pharmacology, Russian Academy of Sciences, Moscow, Russia. rlactp@gmail.com.
High breast cancer (BC) incidence correlates with increased consumption of animal foods, fruits, beverages, and alcohol, and decreased intake of cereals and vegetables. Dietary patterns significantly impact BC risk globally.
Area of Science:
- Nutrition Science
- Epidemiology
- Oncology
Background:
- Breast cancer (BC) is a significant global health concern.
- Dietary patterns (DPs) are hypothesized to influence BC incidence.
- International variations in BC rates necessitate comparative dietary analyses.
Purpose of the Study:
- To comparatively analyze dietary patterns (DPs) and their association with breast cancer (BC) incidence across different countries.
- To identify specific food groups contributing to disparities in BC rates.
- To propose a method for assessing the impact of DPs on BC incidence.
Main Methods:
- Comparative analysis of DPs based on national food consumption data.
- Correlation of DPs with BC incidence rates (per 100,000 people).
- Examination of specific food group consumption (animal foods, fruits, beverages, alcohol, cereals, vegetables).
Main Results:
- Countries with high BC incidence (76/100,000) show 1.5-2 times higher consumption of animal foods, fruits, beverages, and alcohol compared to low-incidence countries (35/100,000).
- Conversely, high-incidence countries exhibit 1.5 times lower consumption of cereals and vegetables.
- Mediterranean countries (BC incidence 51/100,000) consume half the amount of animal foods compared to cereals and vegetables.
Conclusions:
- Dietary patterns significantly differ between high and low breast cancer incidence regions.
- Reduced intake of cereals and vegetables, coupled with higher intake of animal products, fruits, and alcohol, is linked to increased BC risk.
- The study proposes a framework for evaluating the influence of DPs on BC incidence.
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