Please use this identifier to cite or link to this item: http://hdl.handle.net/2445/179810
Title: Use of Different Food Classification Systems to Assess the Association between Ultra-Processed Food Consumption and Cardiometabolic Health in an Elderly Population with Metabolic Syndrome (PREDIMED-Plus Cohort)
Author: Martinez Perez, Celia
San Cristobal, Rodrigo
Guallar Castillon, Pilar
Martínez-González, Miguel Ángel, 1957-
Salas Salvadó, Jordi
Corella Piquer, Dolores
Castañer, Olga
Martinez, Jose Alfredo
Alonso Gómez, Ángel M.
Wärnberg, Julia
Vioque, Jesús
Romaguera, Dora
López Miranda, José
Estruch Riba, Ramon
Tinahones, Francisco J.
Lapetra, José
Serra Majem, Lluís
Bueno Cavanillas, Aurora
Tur, Josep A.
Sánchez, Vicente Martín
Pintó Sala, Xavier
Gaforio, José J.
Matía Martín, Pilar
Vidal i Cortada, Josep
Vázquez, Clotilde
Ros Rahola, Emilio
Bes Rastrollo, Maira
Babio, Nancy
Sorlí, Jose V.
Lassale, Camille
Pérez Sanz, Beatriz
Vaquero Luna, Jessica
Ajejas Bazán, María Julia
Barceló Iglesias, María Concepción
Konieczna, Jadwiga
García Ríos, Antonio
Bernal López, María Rosa
Santos Lozano, José Manuel
Toledo, Estefanía
Becerra Tomás, Nerea
Portoles, Olga
Zomeño, María Dolores
Abete, Itziar
Moreno Rodriguez, Anai
Lecea Juarez, Oscar
Nishi, Stephanie K.
Muñoz Martínez, Júlia
Ordovás, José M.
Daimiel, Lidia
Keywords: Persones grans
Nutrició
Síndrome metabòlica
Older people
Nutrition
Metabolic syndrome
Issue Date: 20-Jul-2021
Publisher: MDPI AG
Abstract: The association between ultra-processed food (UPF) and risk of cardiometabolic disorders is an ongoing concern. Different food processing-based classification systems have originated discrepancies in the conclusions among studies. To test whether the association between UPF consumption and cardiometabolic markers changes with the classification system, we used baseline data from 5636 participants (48.5% female and 51.5% male, mean age 65.1 +/- 4.9) of the PREDIMED-Plus ("PREvention with MEDiterranean DIet") trial. Subjects presented with overweight or obesity and met at least three metabolic syndrome (MetS) criteria. Food consumption was classified using a 143-item food frequency questionnaire according to four food processing-based classifications: NOVA, International Agency for Research on Cancer (IARC), International Food Information Council (IFIC) and University of North Carolina (UNC). Mean changes in nutritional and cardiometabolic markers were assessed according to quintiles of UPF consumption for each system. The association between UPF consumption and cardiometabolic markers was assessed using linear regression analysis. The concordance of the different classifications was assessed with intra-class correlation coefficients (ICC3, overall = 0.51). The highest UPF consumption was obtained with the IARC classification (45.9%) and the lowest with NOVA (7.9%). Subjects with high UPF consumption showed a poor dietary profile. We detected a direct association between UPF consumption and BMI (p = 0.001) when using the NOVA system, and with systolic (p = 0.018) and diastolic (p = 0.042) blood pressure when using the UNC system. Food classification methodologies markedly influenced the association between UPF consumption and cardiometabolic risk markers.
Note: Reproducció del document publicat a: https://doi.org/10.3390/nu13072471
It is part of: Nutrients, 2021, vol. 13, num. 7, p. 2471
URI: http://hdl.handle.net/2445/179810
Related resource: https://doi.org/10.3390/nu13072471
Appears in Collections:Articles publicats en revistes (Institut d'lnvestigació Biomèdica de Bellvitge (IDIBELL))
Articles publicats en revistes (IDIBAPS: Institut d'investigacions Biomèdiques August Pi i Sunyer)

Files in This Item:
File Description SizeFormat 
nutrients-13-02471.pdf1.33 MBAdobe PDFView/Open


This item is licensed under a Creative Commons License Creative Commons