White meat intake and the risk of breast cancer: a case-control study in Montevideo, Uruguay

2003 ◽  
Vol 23 (2) ◽  
pp. 151-162 ◽  
Author(s):  
Alvaro L. Ronco ◽  
Eduardo De Stéfani ◽  
Alicia Fabra
2021 ◽  
pp. 1-13
Author(s):  
Kai-Yan Liu ◽  
Xiao-Li Feng ◽  
Xiong-Fei Mo ◽  
Fang-Yu Lin ◽  
Xin Zhang ◽  
...  

Abstract Objective: The current study evaluated the associations between different forms and sources of Fe and breast cancer risk in Southern Chinese women. Design: Case–control study. We collected data on the consumption of Fe from different forms and food sources by using a validated FFQ. Multivariable logistic regression and restricted cubic spline (RCS) analysis was used to reveal potential associations between Fe intake and breast cancer risk. Setting: A case-control study of women at three major hospitals in Guangzhou, China. Participants: From June 2007 to March 2019, 1591 breast cancer cases and 1622 age-matched controls were recruited. Results: In quartile analyses, Fe from plants and Fe from white meat intake were inversely associated with breast cancer risk, with OR of 0·65 (95 % CI 0·47, 0·89, Ptrend = 0·006) and 0·76 (95 % CI 0·61, 0·96, Ptrend = 0·014), respectively, comparing the highest with the lowest quartile. No associations were observed between total dietary Fe, heme or non-heme Fe, Fe from meat or red meat and breast cancer risk. RCS analysis demonstrated J-shaped associations between total dietary Fe, non-heme Fe and breast cancer, and reverse L-shaped associations between heme Fe, Fe from meat and Fe from red meat and breast cancer. Conclusion: Fe from plants and white meat were inversely associated with breast cancer risk. Significant non-linear J-shaped associations were found between total dietary Fe, non-heme Fe and breast cancer risk, and reverse L-shaped associations were found between heme Fe, Fe from meat or red meat and breast cancer risk.


2019 ◽  
Author(s):  
Jonine Figueroa ◽  
Brittny C. Davis Lynn ◽  
Lawrence Edusei ◽  
Nicholas Titiloye ◽  
Ernest Adjei ◽  
...  

2014 ◽  
Vol 10 (2) ◽  
pp. 120-127
Author(s):  
Niki Mourouti ◽  
Meropi Kontogianni ◽  
Christos Papavagelis ◽  
Theodora Psaltopoulou ◽  
Petrini Plytzanopoulou ◽  
...  

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Mariem Hajji-Louati ◽  
Emilie Cordina-Duverger ◽  
Nasser Laouali ◽  
Francesca-Romana Mancini ◽  
Pascal Guénel

AbstractDietary regimens promoting inflammatory conditions have been implicated in breast cancer development, but studies on the association between pro-inflammatory diet and breast cancer risk have reported inconsistent results. We investigated the association between the inflammatory potential of diet and breast cancer risk in a case–control study in France including 872 breast cancer cases and 966 population controls. All women completed a food frequency questionnaire that was used to compute a Dietary Inflammatory Index (DII) based on the inflammatory weight of 33 dietary components. The DII ranged from a median of − 3.22 in the lowest quartile (anti-inflammatory) to + 2.96 in the highest quartile (pro-inflammatory). The odds ratio contrasting quartile 4 to quartile 1 was 1.31 (95% CI 1.00, 1.73; p-trend = 0.02). Slightly higher odds ratios were observed in post-menopausal women, particularly those with body mass index > 25 kg/m2 (odds ratio 1.62; 95% CI 0.92, 2.83; p-trend = 0.02), and among ever smokers (odds ratio 1.71; 95% CI 1.11, 2.65; p-trend 0.01). The analyses by breast cancer subtype showed that the DII was associated with breast tumors that expressed either the estrogen (ER) or progesterone (PR) hormone receptors or the Human Epidermal Growth Factor Receptor-2 (HER2), but no association was seen for the triple negative breast tumor subtype. Our results add further evidence that a pro-inflammatory diet is associated with breast cancer risk with possible effect variation according to tumor subtype.


Breast Cancer ◽  
2021 ◽  
Author(s):  
Seyed Mojtaba Ghoreishy ◽  
Azadeh Aminianfar ◽  
Sanaz Benisi-Kohansal ◽  
Leila Azadbakht ◽  
Ahmad Esmaillzadeh

2016 ◽  
Vol 27 ◽  
pp. ix24
Author(s):  
N.A. Jadoon ◽  
M. Hussain ◽  
F.U. Sulehri ◽  
A. Zafar ◽  
A. Ijaz

Sign in / Sign up

Export Citation Format

Share Document