Please use this identifier to cite or link to this item: https://hdl.handle.net/2445/216401
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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