Sadat Fereidani, S., Eini-Zinab, H., Heidari, Z., Jalali, S., Sedaghat, F., Rashidkhani, B. (2018). Nutrient Patterns and Risk of Breast Cancer among Iranian Women: a Case- Control Study. Asian Pacific Journal of Cancer Prevention, 19(9), 2619-2624. doi: 10.22034/APJCP.2018.19.9.2619
Samira Sadat Fereidani; Hasan Eini-Zinab; Zeinab Heidari; Saba Jalali; Fatemeh Sedaghat; Bahram Rashidkhani. "Nutrient Patterns and Risk of Breast Cancer among Iranian Women: a Case- Control Study". Asian Pacific Journal of Cancer Prevention, 19, 9, 2018, 2619-2624. doi: 10.22034/APJCP.2018.19.9.2619
Sadat Fereidani, S., Eini-Zinab, H., Heidari, Z., Jalali, S., Sedaghat, F., Rashidkhani, B. (2018). 'Nutrient Patterns and Risk of Breast Cancer among Iranian Women: a Case- Control Study', Asian Pacific Journal of Cancer Prevention, 19(9), pp. 2619-2624. doi: 10.22034/APJCP.2018.19.9.2619
Sadat Fereidani, S., Eini-Zinab, H., Heidari, Z., Jalali, S., Sedaghat, F., Rashidkhani, B. Nutrient Patterns and Risk of Breast Cancer among Iranian Women: a Case- Control Study. Asian Pacific Journal of Cancer Prevention, 2018; 19(9): 2619-2624. doi: 10.22034/APJCP.2018.19.9.2619
Nutrient Patterns and Risk of Breast Cancer among Iranian Women: a Case- Control Study
1Department of Community Nutrition, Faculty of Nutrition Sciences and Food Technology, National Nutrition and Food Technology Research Institute, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
2Department of Basic Medical Sciences, Faculty of Nutrition Sciences and Food Technology, National Nutrition and Food Technology Research Institute, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Receive Date: 30 April 2018,
Revise Date: 12 June 2018,
Accept Date: 25 July 2018
Abstract
Objective: To explore the role of nutrient patterns in the etiology of breast cancer (BCa) among Iranian women. Methods: The study included 134 newly diagnosed cases of BCa and 267 hospitalized controls. A validated semi-quantitative food frequency questionnaire (FFQ) was used to assess dietary intake. Nutrient patterns were obtained using principal component analysis using Varimax rotation and logistic regression was performed to estimate breast cancer risk. Results: We identified 4 major nutrient patterns. First was high in consumption of vitamins B1, B2, B3, B5, B6, B9, C, magnesium, iron, carbohydrate, fiber, selenium, zinc, protein, potassium, and calcium. The second nutrient pattern included Vitamins B12, A and cholesterol, while the third featured vitamin D, EPA and DHA. The fourth was characterized by vitamin E, MUFA and saturated fatty acids. After adjusting for age, patterns 1 and 3 were associated with a lower risk of BCa (OR=0.51, 95% CI: 0.33- 0.80, P=0.003, OR=0.64, 95% CI: 0.42- 0.98, P= 0.04 respectively). However, after further adjustment for all confounders in multivariate analysis, the association remained significant only for pattern 1 (OR=0.52, 95% CI: 0.32- 0.82, P=0.006). Conclusion: Adherence to a nutrient pattern rich in vitamin B, minerals and fiber is associated with a lower risk of breast cancer.
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