RT Journal Article
T1 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)
A1 Martínez Pérez, Celia
A1 San Cristobal, Rodrigo
A1 Guallar Castillon, Pilar
A1 Martínez González, Miguel Ángel
A1 Salas Salvadó, Jordi
A1 Corella, Dolores
A1 Castañer, Olga
A1 Martínez, José Alfredo
A1 Alonso Gómez, Ángel M.
A1 Wärnberg, Julia
A1 Vioque, Jesús
A1 Romaguera, Dora
A1 López Miranda, José
A1 Estruch, Ramon
A1 Tinahones, Francisco J.
A1 Lapetra, José
A1 Serra-Majem, Lluis
A1 Bueno Cavanillas, Aurora
A1 Tur, Josep A.
A1 Sánchez, Vicente Martín
A1 Pintó, Xavier
A1 Gaforio, José J.
A1 Matía Martín, Pilar
A1 Vidal, Josep
A1 Vázquez, Clotilde
A1 Ros, Emilio
A1 Bes Rastrollo, Maira
A1 Babio, Nancy
A1 Sorlí, Jose V.
A1 Lassale, Camille
A1 Pérez Sanz, Beatriz
A1 Vaquero Luna, Jessica
A1 Bazán, María Julia Ajejas
A1 Barceló Iglesias, María Concepción
A1 Konieczna, Jadwiga
A1 Ríos, Antonio García
A1 Bernal López, María Rosa
A1 Santos Lozano, José Manuel
A1 Toledo, Estefanía
A1 Becerra Tomás, Nerea
A1 Portoles, Olga
A1 Zomeño, María Dolores
A1 Abete, Itziar
A1 Moreno Rodríguez, Anai
A1 Lecea Juarez, Oscar
A1 Nishi, Stephanie K.
A1 Muñoz Martínez, Júlia
A1 Ordovás, José M.
A1 Daimiel, Lidia
AB 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.
PB MPDI
SN 2072-6643
YR 2021
FD 2021-07-20
LK https://hdl.handle.net/20.500.14352/4830
UL https://hdl.handle.net/20.500.14352/4830
LA eng
NO Unión Europea. FP7
NO Ministerio de Ciencia e Innovación (MICINN)
NO Instituto de Salud Carlos III (ISCIII)/CIBEROBN/FEDER
NO Instituto de Salud Carlos III (ISCIII)/CIBEROBN/FEDER
NO Instituto de Salud Carlos III (ISCIII)/CIBEROBN/FEDER
NO Comunidad de Madrid/FEDER
NO Recercaixa
NO Junta de Andalucía
NO Generalitat Valenciana
DS Docta Complutense
RD 5 ago 2024