Autor según el artículo: Martinez-Perez, Celia; San-Cristobal, Rodrigo; Guallar-Castillon, Pilar; Angel Martinez-Gonzalez, Miguel; Salas-Salvado, Jordi; Corella, Dolores; Castaner, Olga; Alfredo Martinez, Jose; Alonso-Gomez, Angel M.; Warnberg, Julia; Vioque, Jesus; Romaguera, Dora; Lopez-Miranda, Jose; Estruch, Ramon; Tinahones, Francisco J.; Lapetra, Jose; Serra-Majem, Lluis; Bueno-Cavanillas, Aurora; Tur, Josep A.; Martin Sanchez, Vicente; Pinto, Xavier; Gaforio, Jose J.; Matia-Martin, Pilar; Vidal, Josep; Vazquez, Clotilde; Ros, Emilio; Bes-Rastrollo, Maira; Babio, Nancy; Sorli, Jose, V; Lassale, Camille; Perez-Sanz, Beatriz; Vaquero-Luna, Jessica; Ajejas Bazan, Maria Julia; Concepcion Barcelo-Iglesias, Maria; Konieczna, Jadwiga; Garcia Rios, Antonio; Rosa Bernal-Lopez, Maria; Manuel Santos-Lozano, Jose; Toledo, Estefania; Becerra-Tomas, Nerea; Portoles, Olga; Dolores Zomeno, Maria; Abete, Itziar; Moreno-Rodriguez, Anai; Lecea-Juarez, Oscar; Nishi, Stephanie K.; Munoz-Martinez, Julia; Ordovas, Jose M.; Daimiel, Lidia;
Departamento: Bioquímica i Biotecnologia
Autor/es de la URV: Alkhoury, Nadine / Babio Sánchez, Nancy Elvira / Becerra Tomás, Nerea / Nishi, Stephanie Kimiko / Salas Salvadó, Jorge
Palabras clave: Waist circumference Validation Unc Ultra-processed food Triacylglycerol Systolic blood pressure Statistical model Spain Quality Products Predimed-plus Practice guideline Obesity Nutrition Nutrient intake Nova North carolina Middle aged Metabolic syndrome x Metabolic syndrome Mediterranean diet Male Major clinical study Low density lipoprotein cholesterol Linear regression analysis Linear models Likely impact Incidence Ific Iarc Hypertension Humans Human High density lipoprotein cholesterol Hemoglobin a1c Glucose Frequency questionnaire Food processing Food intake Food handling Food frequency questionnaire Female Fast foods Fast food Dietary pattern Diet, mediterranean Diet surveys Diet Diastolic blood pressure Creatinine Correlation coefficient Controlled study Cohort studies Cohort analysis Classification systems Classification algorithm Classification Cardiometabolic risk factors Cardiometabolic risk Caloric intake Body mass Article American diet Aged Adverse event Adult Adolescents
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.
Áreas temáticas: Zootecnia / recursos pesqueiros Saúde coletiva Química Psicología Planejamento urbano e regional / demografia Nutrition and dietetics Nutrition & dietetics Nutrição Medicina veterinaria Medicina iii Medicina ii Medicina i Interdisciplinar Food science Farmacia Engenharias iv Engenharias ii Enfermagem Educação física Economia Ciências biológicas iii Ciências biológicas ii Ciências biológicas i Ciências agrárias i Ciência de alimentos Biotecnología
Acceso a la licencia de uso: https://creativecommons.org/licenses/by/3.0/es/
Direcció de correo del autor: stephanie.nishi@urv.cat nerea.becerra@urv.cat nadine.alkhoury@estudiants.urv.cat nadine.alkhoury@estudiants.urv.cat nadine.alkhoury@estudiants.urv.cat nadine.alkhoury@estudiants.urv.cat jordi.salas@urv.cat nancy.babio@urv.cat
Identificador del autor: 0000-0002-4429-6507 0000-0003-2700-7459 0000-0003-3527-5277
Fecha de alta del registro: 2024-07-27
Volumen de revista: 13
Versión del articulo depositado: info:eu-repo/semantics/publishedVersion
URL Documento de licencia: https://repositori.urv.cat/ca/proteccio-de-dades/
Referencia al articulo segun fuente origial: Nutrients. 13 (7):
Referencia de l'ítem segons les normes APA: Martinez-Perez, Celia; San-Cristobal, Rodrigo; Guallar-Castillon, Pilar; Angel Martinez-Gonzalez, Miguel; Salas-Salvado, Jordi; Corella, Dolores; Cast (2021). 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, 13(7), -. DOI: 10.3390/nu13072471
Entidad: Universitat Rovira i Virgili
Año de publicación de la revista: 2021
Tipo de publicación: Journal Publications
Repositori URV