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Title: | A treelet transform analysis to relate nutrient patterns to the risk of hormonal receptor-defined breast cancer in the European Prospective Investigation into Cancer and Nutrition (EPIC) |
Author: | Assi, Nada Moskal, Aurelie Slimani, Nadia Viallon, Vivian Chajès, Véronique Freisling, Heinz Monni, Stefano Knüppel, Sven Förster, Jana Weiderpass, Elisabete Luján Barroso, Leila Amiano, Pilar Ardanaz, Eva Molina Montes, Esther Salmerón, Diego Quirós, José Ramón Olsen, Anja Tjønneland, Anne Dahm, Christina C Overvad, Kim Dossus, Laure Fournier, Agnès Baglietto, Laura Fortner, Renee Turzanski Kaaks, Rudolf Trichopoulou, Antonia Bamia, Christina Orfanos, Philippos Santucci de Magistris, Maria Masala, Giovanna Agnoli, Claudia Ricceri, Fulvio Tumino, Rosario Bueno de Mesquita, H. Bas Bakker, Marije F. Peeters, Petra H. M. Skeie, Guri Braaten, Tonje Winkvist, Anna Johansson, Ingegerd |
Keywords: | Nutrició Càncer Nutrition Cancer |
Issue Date: | 23-Feb-2016 |
Publisher: | Cambridge University Press |
Abstract: | Objective: Pattern analysis has emerged as a tool to depict the role of multiple nutrients/foods in relation to health outcomes. The present study aimed at extracting nutrient patterns with respect to breast cancer (BC) aetiology. Design: Nutrient patterns were derived with treelet transform (TT) and related to BC risk. TT was applied to twenty-three log-transformed nutrient densities from dietary questionnaires. Hazard ratios (HR) and 95 % confidence intervals computed using Cox proportional hazards models quantified the association between quintiles of nutrient pattern scores and risk of overall BC, and by hormonal receptor and menopausal status. Principal component analysis was applied for comparison. Setting: The European Prospective Investigation into Cancer and Nutrition (EPIC). Subjects: Women (n 334 850) from the EPIC study. Results: The first TT component (TC1) highlighted a pattern rich in nutrients found in animal foods loading on cholesterol, protein, retinol, vitamins B12 and D, while the second TT component (TC2) reflected a diet rich in β-carotene, riboflavin, thiamin, vitamins C and B6, fibre, Fe, Ca, K, Mg, P and folate. While TC1 was not associated with BC risk, TC2 was inversely associated with BC risk overall (HRQ5 v. Q1=0·89, 95 % CI 0·83, 0·95, Ptrend<0·01) and showed a significantly lower risk in oestrogen receptor-positive (HRQ5 v. Q1=0·89, 95 % CI 0·81, 0·98, Ptrend=0·02) and progesterone receptor-positive tumours (HRQ5 v. Q1=0·87, 95 % CI 0·77, 0·98, Ptrend<0·01). Conclusions: TT produces readily interpretable sparse components explaining similar amounts of variation as principal component analysis. Our results suggest that participants with a nutrient pattern high in micronutrients found in vegetables, fruits and cereals had a lower risk of BC. |
Note: | Reproducció del document publicat a: https://doi.org/10.1017/S1368980015000294 |
It is part of: | Public Health Nutrition, 2016, vol. 19, num. 2, p. 242-254 |
URI: | https://hdl.handle.net/2445/160098 |
Related resource: | https://doi.org/10.1017/S1368980015000294 |
ISSN: | 1368-9800 |
Appears in Collections: | Articles publicats en revistes (Infermeria de Salut Pública, Salut mental i Maternoinfantil) Articles publicats en revistes (Institut d'lnvestigació Biomèdica de Bellvitge (IDIBELL)) Publicacions de projectes de recerca finançats per la UE |
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