TY  - JOUR
AU  - Deschasaux, Mélanie
AU  - Huybrechts, Inge
AU  - Murphy, Neil
AU  - Julia, Chantal
AU  - Hercberg, Serge
AU  - Srour, Bernard
AU  - Kesse-Guyot, Emmanuelle
AU  - Latino-Martel, Paule
AU  - Biessy, Carine
AU  - Casagrande, Corinne
AU  - Jenab, Mazda
AU  - Ward, Heather
AU  - Weiderpass, Elisabete
AU  - Dahm, Christina C
AU  - Overvad, Kim
AU  - Kyrø, Cecilie
AU  - Olsen, Anja
AU  - Affret, Aurélie
AU  - Boutron-Ruault, Marie-Christine
AU  - Mahamat-Saleh, Yahya
AU  - Kaaks, Rudolf
AU  - Kühn, Tilman
AU  - Boeing, Heiner
AU  - Schwingshackl, Lukas
AU  - Bamia, Christina
AU  - Peppa, Eleni
AU  - Trichopoulou, Antonia
AU  - Masala, Giovanna
AU  - Krogh, Vittorio
AU  - Panico, Salvatore
AU  - Tumino, Rosario
AU  - Sacerdote, Carlotta
AU  - Bueno-de-Mesquita, Bas
AU  - Peeters, Petra H
AU  - Hjartåker, Anette
AU  - Rylander, Charlotta
AU  - Skeie, Guri
AU  - Ramón Quirós, J.
AU  - Jakszyn, Paula
AU  - Salamanca-Fernández, Elena
AU  - Huerta, José María
AU  - Ardanaz, Eva
AU  - Amiano, Pilar
AU  - Ericson, Ulrika
AU  - Sonestedt, Emily
AU  - Huseinovic, Ena
AU  - Johansson, Ingegerd
AU  - Khaw, Kay-Tee
AU  - Wareham, Nick
AU  - Bradbury, Kathryn E
AU  - Perez-Cornago, Aurora
AU  - Tsilidis, Konstantinos K
AU  - Ferrari, Pietro
AU  - Riboli, Elio
AU  - Gunter, Marc J
AU  - Touvier, Mathilde
TI  - Nutritional quality of food as represented by the FSAm-NPS nutrient profiling system underlying the Nutri-Score label and cancer risk in Europe: Results from the EPIC prospective cohort study.
JO  - PLoS medicine
VL  - 15
IS  - 9
SN  - 1549-1676
CY  - Lawrence, Kan.
PB  - PLoS
M1  - DKFZ-2018-01594
SP  - e1002651 -
PY  - 2018
AB  - Helping consumers make healthier food choices is a key issue for the prevention of cancer and other diseases. In many countries, political authorities are considering the implementation of a simplified labelling system to reflect the nutritional quality of food products. The Nutri-Score, a five-colour nutrition label, is derived from the Nutrient Profiling System of the British Food Standards Agency (modified version) (FSAm-NPS). How the consumption of foods with high/low FSAm-NPS relates to cancer risk has been studied in national/regional cohorts but has not been characterized in diverse European populations.This prospective analysis included 471,495 adults from the European Prospective Investigation into Cancer and Nutrition (EPIC, 1992-2014, median follow-up: 15.3 y), among whom there were 49,794 incident cancer cases (main locations: breast, n = 12,063; prostate, n = 6,745; colon-rectum, n = 5,806). Usual food intakes were assessed with standardized country-specific diet assessment methods. The FSAm-NPS was calculated for each food/beverage using their 100-g content in energy, sugar, saturated fatty acid, sodium, fibres, proteins, and fruits/vegetables/legumes/nuts. The FSAm-NPS scores of all food items usually consumed by a participant were averaged to obtain the individual FSAm-NPS Dietary Index (DI) scores. Multi-adjusted Cox proportional hazards models were computed. A higher FSAm-NPS DI score, reflecting a lower nutritional quality of the food consumed, was associated with a higher risk of total cancer (HRQ5 versus Q1 = 1.07; 95
LB  - PUB:(DE-HGF)16
C6  - pmid:30226842
C2  - pmc:PMC6143197
DO  - DOI:10.1371/journal.pmed.1002651
UR  - https://inrepo02.dkfz.de/record/140839
ER  -