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 Martinez-Perez, 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 Martinez, Jose 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 Martín Sánchez, Vicente
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 Ajejas Bazán, María Julia
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-Rodriguez, Anai
A1 Lecea-Juarez, Oscar
A1 Nishi, Stephanie K.
A1 Muñoz-Martínez, Júlia
A1 Ordovás, José M.
A1 Daimiel, Lidia
K1 Cardiometabolic risk
K1 Classification systems
K1 Diet
K1 Food processing
K1 IARC
K1 IFIC
K1 NOVA
K1 PREDIMED-Plus
K1 Ultra-processed food
K1 UNC
K1 Overweight
K1 Mediterranean diet
K1 Metabolic syndrome
K1 Body mass index
K1 Obesity
K1 Factores de riesgo cardiometabólico
K1 Clasificación
K1 Dieta
K1 Manipulación de alimentos
K1 Alimentos ultraprocesados
K1 Sobrepeso
K1 Dieta mediterránea
K1 Síndrome metabólico
K1 Índice de masa corporal
K1 Obesidad
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 MDPI
YR 2021
FD 2021-07-20
LK http://hdl.handle.net/10668/4560
UL http://hdl.handle.net/10668/4560
LA en
NO Martinez-Perez C, San-Cristobal R, Guallar-Castillon P, Martínez-González MÁ, Salas-Salvadó J, Corella D, et al. 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). Nutrients. 2021 Jul 20;13(7):2471
DS RISalud
RD Apr 17, 2025