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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)

  • Identification data

    Identifier: imarina:9225154
    Authors:
    Martinez-Perez, CeliaSan-Cristobal, RodrigoGuallar-Castillon, PilarAngel Martinez-Gonzalez, MiguelSalas-Salvado, JordiCorella, DoloresCastaner, OlgaAlfredo Martinez, JoseAlonso-Gomez, Angel M.Warnberg, JuliaVioque, JesusRomaguera, DoraLopez-Miranda, JoseEstruch, RamonTinahones, Francisco J.Lapetra, JoseSerra-Majem, LluisBueno-Cavanillas, AuroraTur, Josep A.Martin Sanchez, VicentePinto, XavierGaforio, Jose J.Matia-Martin, PilarVidal, JosepVazquez, ClotildeRos, EmilioBes-Rastrollo, MairaBabio, NancySorli, Jose, VLassale, CamillePerez-Sanz, BeatrizVaquero-Luna, JessicaAjejas Bazan, Maria JuliaConcepcion Barcelo-Iglesias, MariaKonieczna, JadwigaGarcia Rios, AntonioRosa Bernal-Lopez, MariaManuel Santos-Lozano, JoseToledo, EstefaniaBecerra-Tomas, NereaPortoles, OlgaDolores Zomeno, MariaAbete, ItziarMoreno-Rodriguez, AnaiLecea-Juarez, OscarNishi, Stephanie K.Munoz-Martinez, JuliaOrdovas, Jose M.Daimiel, Lidia
    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.
  • Others:

    Author, as appears in the article.: 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;
    Department: Bioquímica i Biotecnologia
    URV's Author/s: Alkhoury, Nadine / Babio Sánchez, Nancy Elvira / Becerra Tomás, Nerea / Nishi, Stephanie Kimiko / Salas Salvadó, Jorge
    Keywords: 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
    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.
    Thematic Areas: 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
    licence for use: https://creativecommons.org/licenses/by/3.0/es/
    Author's mail: 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
    Author identifier: 0000-0002-4429-6507 0000-0003-2700-7459 0000-0003-3527-5277
    Record's date: 2024-07-27
    Journal volume: 13
    Papper version: info:eu-repo/semantics/publishedVersion
    Link to the original source: https://www.mdpi.com/2072-6643/13/7/2471
    Licence document URL: https://repositori.urv.cat/ca/proteccio-de-dades/
    Papper original source: Nutrients. 13 (7):
    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
    Article's DOI: 10.3390/nu13072471
    Entity: Universitat Rovira i Virgili
    Journal publication year: 2021
    Publication Type: Journal Publications
  • Keywords:

    Food Science,Nutrition & Dietetics,Nutrition and Dietetics
    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
    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
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