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ARS Home » Northeast Area » Boston, Massachusetts » Jean Mayer Human Nutrition Research Center On Aging » Research » Publications at this Location » Publication #389554
Research Project: Personalized Nutrition and Healthy Aging

Location: Jean Mayer Human Nutrition Research Center On Aging

Title: 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)

Author
item MARTINEZ-PEREZ, CELIA - Imdea Institute
item SAN-CRISTOBAL, RODRIGO - Imdea Institute
item GUALLAR-CASTILLON, PILAR - Universidad Autonoma Agraria Antonio Narro
item MARTINEZ-GONZALEZ, MIGUEL - Instituto De Investigación Sanitaria De Navarra (IDISNA)
item SALAS-SALVADO, JORDI - University Rovira I Virgili
item CORELLA, DOLORES - Instituto De Salud Carlos Iii
item CASTANER, OLGA - Hospital Del Mar Medical Research Institute
item MARTINEZ, JOSE ALFREDO - Imdea Institute
item ALONSO-GOMEZ, ANGEL - Instituto De Salud Carlos Iii
item WARNBERG, JULIA - Instituto De Salud Carlos Iii
item VIOQUE, JESUS - Instituto De Salud Carlos Iii
item ROMAGUERA, DORA - Instituto De Salud Carlos Iii
item LOPEZ-MIRANDA, JOSE - Instituto De Salud Carlos Iii
item ESTRUCH, RAMON - Instituto De Salud Carlos Iii
item TINAHONES, FRANCISCO - Instituto De Salud Carlos Iii
item LAPETRA, JOSE - Instituto De Salud Carlos Iii
item SERRA-MAJEM, LLUIS - University Of Las Palmas De Gran Canaria
item BUENO-CAVANILLAS, AURORA - Instituto De Salud Carlos Iii
item TUR, JOSEP - Instituto De Salud Carlos Iii
item SANCHEZ, VICENTE - University Of Leon
item PINTO, XAVIER - Instituto De Salud Carlos Iii
item GAFORIO, JOSE - Instituto De Salud Carlos Iii
item MATIA-MARTIN, PILAR - Instituto De Salud Carlos Iii
item VIDAL, JOSEP - Instituto De Salud Carlos Iii
item VASQUEZ, CLOTILDE - Instituto De Salud Carlos Iii
item ROS, EMILIO - Instituto De Salud Carlos Iii
item BES-ROSTROLLO, MAIRA - Instituto De Salud Carlos Iii
item BABIO, NANCY - University Rovira I Virgili
item SORLI, JOSE - Instituto De Salud Carlos Iii
item LASSALE, CAMILLE - Instituto De Salud Carlos Iii
item PEREZ-SANZ, BEATRIZ - University Of Navarra
item VAQUERO-LUNA, JESSICA - Instituto De Salud Carlos Iii
item AJEJAS BAZAN, MARIA JULIA - University Of Malaga
item BARCELO-IGLESIAS, MARIA CONCEPCIO - Cabo Huertas Health Center
item KONIECZNA, JADWIGA - Instituto De Salud Carlos Iii
item GARCIA-RIOS, ANTONIO - University Of Cordova (UCO), Spain
item BERNAL-LOPEZ, MARIA ROSA - Regional University Hospital Of Malaga
item SANTOS-LOZANO, JOSE MANUEL - Instituto De Salud Carlos Iii
item TOLEDO, ESTAFANIA - Instituto De Salud Carlos Iii
item BECERRA-TOMAS, NEREA - Instituto De Salud Carlos Iii
item PORTOLES, OLGA - Instituto De Salud Carlos Iii
item ZOMENO, MARIA DOLORES - Hospital Del Mar Medical Research Institute
item ABETE, ITZIAR - Instituto De Salud Carlos Iii
item MORENO-RODRIGUEZ, ANAI - Instituto De Salud Carlos Iii
item LECEA-JUAREZ, OSCAR - Navarra Health
item NISHI, STEPHANIE - University Rovira I Virgili
item MUNOZ-MARTINEZ, JULIA - Hospital Del Mar Medical Research Institute
item ORDOVAS, JOSE - Jean Mayer Human Nutrition Research Center On Aging At Tufts University
item DAIMIEL, LIDIA - Imdea Institute

Submitted to: Nutrients
Publication Type: Peer Reviewed Journal
Publication Acceptance Date: 7/13/2021
Publication Date: 7/20/2021
Citation: Martinez-Perez, C., San-Cristobal, R., Guallar-Castillon, P., Martinez-Gonzalez, M.A., Salas-Salvado, J., Corella, D., Castaner, O., Martinez, J., Alonso-Gomez, A., Warnberg, J., Vioque, J., Romaguera, D., Lopez-Miranda, J., Estruch, R., Tinahones, F., Lapetra, J., Serra-Majem, L., Bueno-Cavanillas, A., Tur, J.A., Sanchez, V.M., Pinto, X., Gaforio, J., Matia-Martin, P., Vidal, J., Vasquez, C., Ros, E., Bes-Rostrollo, M., Babio, N., Sorli, J.V., Lassale, C., Perez-Sanz, B., Vaquero-Luna, J., Ajejas Bazan, M., Barcelo-Iglesias, M.N., Konieczna, J., Garcia-Rios, A., Bernal-Lopez, M., Santos-Lozano, J., Toledo, E., Becerra-Tomas, N., Portoles, O., Zomeno, M., Abete, I., Moreno-Rodriguez, A., Lecea-Juarez, O., Nishi, S., Munoz-Martinez, J., Ordovas, J.M., Daimiel, L. 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):2471. https://doi.org/10.3390/nu13072471.
DOI: https://doi.org/10.3390/nu13072471

Interpretive Summary: The association between the consumption of ultra-processed food (UPF) and the risk of cardiometabolic diseases is a significant public health concern. However, different classifications of UPFs being used in the scientific literature have resulted in discrepancies in the conclusions from different studies, creating uncertainty. To test whether the association between UPF consumption and cardiometabolic biomarkers changes with the classification system, scientists at the HNRCA-Tufts University in Boston, in collaboration with Spanish investigators, used data from 5636 participants in the PREDIMED-Plus ("PREvention with MEDiterranean DIet") trial. The results show that food classification methodologies markedly influenced the association between UPF consumption and cardiometabolic risk markers. Therefore, nutrition scientists must agree on a standard system to identify the real impact of UPF in chronic, age-related diseases.

Technical 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.