Por favor, use este identificador para citar o enlazar este Item:http://hdl.handle.net/20.500.12105/18408
Título
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)
Autor(es)
Martinez-Perez, Celia | San-Cristobal, Rodrigo | Guallar-Castillon, Pilar | Martínez-González, Miguel Ángel | Salas-Salvadó, Jordi | Corella, Dolores | Castañer, Olga | Martinez, Jose Alfredo | Alonso-Gómez, Ángel M. | Wärnberg, Julia | Vioque, Jesús | Romaguera, Dora | López-Miranda, José | Estruch, Ramon | Tinahones, Francisco J. | Lapetra, José | Serra-Majem, Lluis | Bueno-Cavanillas, Aurora | Tur, Josep A. | Martín Sánchez, Vicente | Pintó, Xavier | Gaforio, José J. | Matía-Martín, Pilar | Vidal, Josep | Vázquez, Clotilde | Ros, Emilio | | Babio, Nancy | Sorlí, Jose V. | Lassale, Camille | Pérez-Sanz, Beatriz | Vaquero-Luna, Jessica | Ajejas Bazán, María Julia | Barceló-Iglesias, María Concepción | Konieczna, Jadwiga | Ríos, Antonio García | 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
Fecha de publicación
2021-07-20
Idioma
Inglés
Tipo de documento
research article
Resumen
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.
Palabras clave
Cardiometabolic risk | Classification systems | Diet | Food processing | IARC | IFIC | NOVA | PREDIMED-Plus | Ultra-processed food | UNC | Overweight | Mediterranean diet | Metabolic syndrome | Body mass index | Obesity | Factores de riesgo cardiometabólico | Clasificación | Dieta | Manipulación de alimentos | Alimentos ultraprocesados | Sobrepeso | Dieta mediterránea | Síndrome metabólico | Índice de masa corporal | Obesidad
MESH
Aged | Cohort Studies | Diet | Diet Surveys | Diet, Mediterranean | Fast Foods | Female | Food Handling | Humans | Incidence | Linear Models | Male | Metabolic Syndrome X | Middle Aged | Spain | Overweight | Body Mass Index | Obesity | International Agencies | Cardiovascular Diseases | Questionnaires
Versión en línea
DOI
Aparece en las colecciones
- Investigación > IIS > IdisBa - Instituto de Investigación Sanitaria Illes Balears (Baleares)
- Investigación > IIS > IMIBIC - Instituto Maimónides de Investigación Biomédica de Córdoba (Andalucía)
- Investigación > IIS > IMIM - Hospital del Mar Research Institute-Barcelona (Cataluña)
- Investigación > IIS > IDIBAPS - Instituto de Investigaciones Biomédicas August Pi i Sunyer (Cataluña)
- Investigación > IIS > IBIMA-Plataforma BIONAND - Instituto de Investigación Biomédica de Málaga y Plataforma en Nanomedicina (Andalucía)
- Investigación > IIS > IdiPAZ - Instituto de Investigación Sanitaria Hospital La Paz (Madrid)
- Investigación > IIS > IdiSNA - Instituto de Investigación Sanitaria de Navarra (Navarra)
- Investigación > IIS > IdISSC - Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (Madrid)
- Investigación > IIS > IIS-FJD - Instituto de Investigación Sanitaria Fundación Jiménez Díaz (Madrid)
- Investigación > IIS > ISABIAL - Instituto de Investigación de Sanitaria y Biomédica de Alicante (C. Valenciana)
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