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Degree of food processing and breast cancer risk: a prospective study in 9 European countries

Authors :
Manon Cairat
Sahar Yammine
Thibault Fiolet
Agnès Fournier
Marie-Christine Boutron-Ruault
Nasser Laouali
Francesca Romana Mancini
Gianluca Severi
Fernanda Morales Berstein
Fernanda Rauber
Renata Bertazzi Levy
Guri Skeie
Kristin Benjaminsen Borch
Anne Tjønneland
Lene Mellemkjær
Yan Borné
Ann H. Rosendahl
Giovanna Masala
Maria Teresa Giraudo
Maria Santucci de Magistris
Verena Katzke
Rashmita Bajracharya
Carmen Santiuste
Pilar Amiano
Stina Bodén
Carlota Castro-Espin
Maria-Jose Sánchez
Mathilde Touvier
Mélanie Deschasaux-Tanguy
Bernard Srour
Matthias B. Schulze
Marcela Guevara
Nathalie Kliemann
Jessica Blanco Lopez
Aline Al Nahas
Kiara Chang
Eszter P. Vamos
Christopher Millett
Elio Riboli
Alicia K. Heath
Carine Biessy
Vivian Viallon
Corinne Casagrande
Genevieve Nicolas
Marc J. Gunter
Inge Huybrechts
Source :
Food Production, Processing and Nutrition, Vol 6, Iss 1, Pp 1-13 (2024)
Publication Year :
2024
Publisher :
BMC, 2024.

Abstract

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. Graphical Abstract

Details

Language :
English
ISSN :
26618974
Volume :
6
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Food Production, Processing and Nutrition
Publication Type :
Academic Journal
Accession number :
edsdoj.79c430b8d5784f9399c3eea1a414c522
Document Type :
article
Full Text :
https://doi.org/10.1186/s43014-024-00264-2