MAIN TEXT: To summarize and quantify the most recent findings on consuming milk or other dairy foods and the development of BC, we performed a systematic literature review. We checked through several databases for relevant publications published in English up to January 2022. Of the 82 articles identified, only 18 met the inclusion criteria and were analyzed. Nine Prospective, seven Retrospective and two Cross-Sectional studies were finally identified.
CONCLUSIONS: Overall, dairy consumption was inversely associated with the risk of developing breast cancer. Future studies will help elucidate the role of dairy products in human health, and their use within a balanced diet should be considered.KEY MESSAGESThe effect of different types of dairy products, and possible dose-response relationships on BC risk remains unknown.Estimating BC risk associated with dairy consumption may help to take the decision-making of physicians and public health policy in developing preventive strategies to reduce its occurrence.This systematic review was conducted to assess dairy consumption and BC risk.Overall, inverse associations were found when looking at dairy consumption and BC risk.
Methods: This cross-sectional study involved 227 adults aged 40 to 59 years at low-cost housing flats in suburban area of Cheras, Kuala Lumpur. Data collection involved food frequency questionnaire (FFQ) for polyphenols and international physical activity questionnaire (IPAQ). Subjects were measured for anthropometric parameters including height, weight, waist and neck circumferences (NC), and body fat percentage. The polyphenol intake from the diet was estimated using local polyphenol database built according to PHENOL-EXPLORER.
Results: The average intake of polyphenol of subjects was 1815 (672) mg/day. The main food sources of polyphenol were coffee with milk, followed by chocolate milk and red beans. A higher polyphenol intake according to quartile was significantly associated with a lower neck circumference (χ2 = 8.30, P = 0.040), waist circumference (χ2 = 8.45, P = 0.038) and body fat percentage (χ2 = 8.06, P = 0.045). Binomial logistic regression analysis showed that the association remained significant for the neck circumference (P = 0.032), after controlling for age, household income, energy intake and physical activity level. More subjects with normal NC had higher intake of polyphenols (50th percentile and above). In contrast, subjects with high NC showed lower percentiles of polyphenols intake (50th percentile and below).
Conclusion: The result showed that polyphenol intake was associated with neck circumference and thus it can be suggested that polyphenol intake is associated with obesity.