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Title: | Degree of food processing and breast cancer risk: a prospective study in 9 European countries |
Author: | Cairat, Manon Yammine, Sahar Fiolet, Thibault Fournier, Agnès Boutron Ruault, Marie Christine Laouali, Nasser Mancini, Francesca Romana Severi, Gianluca Morales Berstein, Fernanda Rauber, Fernanda Bertazzi Levy, Renata Skeie, Guri Benjaminsen Borch, Kristin Tjønneland, Anne Mellemkjær, Lene Borné, Yan Rosendahl, Ann H. Masala, Giovanna Giraudo, Maria Teresa De Magistris, Maria Santucci Katzke, Verena Bajracharya, Rashmita Santiuste, Carmen Amiano, Pilar Bodén, Stina Castro Espin, Carlota Sánchez, Maria Jose Touvier, Mathilde Deschasaux Tanguy, Mélanie Srour, Bernard Schulze, Matthias B. Guevara, Marcela Kliemann, Nathalie Blanco Lopez, Jessica Al Nahas, Aline Chang, Kiara Vamos, Eszter P. Millett, Christopher Riboli, Elio Heath, Alicia K. Biessy, Carine Viallon, Vivian Casagrande, Corinne Nicolas, Geneviève Gunter, Marc J. Huybrechts, Inge |
Keywords: | Epidemiologia Càncer de mama Epidemiology Breast cancer |
Issue Date: | 9-Oct-2024 |
Publisher: | Springer Science and Business Media LLC |
Abstract: | Recent epidemiological studies have suggested a positive association between ultra-processed food consumption and breast cancer risk, although some studies also reported no association. Furthermore, the evidence regarding the associations between intake of food with lower degrees of processing and breast cancer risk is limited.Thus, we investigated the associations between dietary intake by degree of food processing and breast cancer risk, overall and by breast cancer subtypes in the European Prospective Investigation into Cancer and Nutrition (EPIC) study.Dietary intake of EPIC participants was assessed via questionnaires at baseline. More than 11,000 food ingredients were classified into four groups of food processing levels using the NOVA classification system: unprocessed/minimally processed (NOVA 1), culinary ingredients (NOVA 2), processed (NOVA 3) and ultra-processed (NOVA 4). Cox proportional hazards models were used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) of breast cancer per standard deviation increase in daily consumption (grams) of foods from each NOVA group.The current analysis included 14,933 breast cancer cases, diagnosed among the 318,686 EPIC female participants, (median follow-up of 14.9 years). No associations were found between breast cancer risk and the level of dietary intake from NOVA 1 [HR per 1 SD=0.99 (95% CI 0.97 - 1.01)], NOVA 2 [HR per 1 SD =1.01 (95% CI 0.98 - 1.03)] and NOVA 4 [HR per 1 SD =1.01 (95% CI 0.99 - 1.03)] foods. However, a positive association was found between NOVA 3 and breast cancer risk [HR per 1 SD =1.05 (95% CI 1.03 - 1.07)] which became non-significant after adjustment for alcohol intake [HR per 1 SD =1.01 (95% CI 0.98 - 1.05)] or when beer and wine were excluded from this group [HR per 1 SD =0.99 (95% CI 0.97 - 1.01)]. The associations did not differ by breast cancer subtype, menopausal status or body mass index. Findings from this large-scale prospective study suggest that the positive association between processed food intake and breast cancer risk was likely driven by alcoholic beverage consumption. |
Note: | Reproducció del document publicat a: https://doi.org/10.1186/s43014-024-00264-2 |
It is part of: | Food Production, Processing and Nutrition, 2024, vol. 6, num. 1 |
URI: | https://hdl.handle.net/2445/216401 |
Related resource: | https://doi.org/10.1186/s43014-024-00264-2 |
ISSN: | 2661-8974 |
Appears in Collections: | Articles publicats en revistes (Institut d'lnvestigació Biomèdica de Bellvitge (IDIBELL)) |
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