Jadwiga Konieczna, Miguel Fiol, Antoni Colom, Miguel Ángel Martínez-González, Jordi Salas-Salvadó, Dolores Corella, María Trinidad Soria-Florido, J. Alfredo Martínez, Ángel M. Alonso-Gómez, Julia Wärnberg, Jesús Vioque, José López-Miranda, Ramon Estruch, M. Rosa Bernal-López, José Lapetra, Lluís Serra-Majem, Aurora Bueno-Cavanillas, Josep A. Tur, Vicente Martín Sánchez, Xavier Pintó, José J. Gaforio, Pilar Matía-Martín, Josep Vidal, Clotilde Vázquez, Lidia Daimiel, Emilio Ros, Maira Bes-Rastrollo, María Pascual, Jose V. Sorlí, Albert Goday, María Ángeles Zulet, Anai Moreno-Rodriguez, Francisco Jesús Carmona González, Rafael Valls-Enguix, Juana M. Janer, Antonio Garcia-Rios, Rosa Casas, Ana M. Gomez-Perez, José Manuel Santos-Lozano, F. Javier Basterra-Gortari, María Ángeles Martínez, Carolina Ortega-Azorin, Joan Bayó, Itziar Abete, Itziar Salaverria-Lete, Miguel Ruiz-Canela, Nancy Babio, Lourdes Carres, and Dora Romaguera
Background: Non-alcoholic fatty liver disease (NAFLD) includes a spectrum of liver alterations that can result in severe disease and even death. Consumption of ultra-processed foods (UPF) has been associated with obesity and related comorbidities. However, the link between UPF and NAFLD has not been sufficiently assessed. We aimed to investigate the prospective association between UPF consumption and liver health biomarkers. Methods: We followed for 1 year 5867 older participants with overweight/obesity and metabolic syndrome (MetS) from the PREDIMED-Plus trial. A validated 143-item semi-quantitative food frequency questionnaire was used to evaluate consumption of UPF at baseline, 6, and 12 months. The degree of processing for foods and beverages (g/day) was established according to the NOVA classification system. The non-invasive fatty liver index (FLI) and hepatic steatosis index (HSI) were used to evaluate liver health at three points in time. The associations between changes in UPF consumption (percentage of total daily dietary intake (g)) and liver biomarkers were assessed using mixed-effects linear models with repeated measurements. Results: In this cohort, UPF consumption at baseline was 8.19% (SD 6.95%) of total daily dietary intake in grams. In multivariable models, each 10% daily increment in UPF consumption in 1 year was associated with significantly greater FLI ( 1.60 points, 95% CI 1.24;1.96 points) and HSI (0.43, 0.29; 0.57) scores (all p-values < 0.001). These associations persisted statistically significant after adjusting for potential dietary confounders and NAFLD risk factors. Conclusions: A higher UPF consumption was associated with higher levels of NAFLD-related biomarkers in older adults with overweight/obesity and MetS., European Research Council (ERC) European Commission 340918, Spanish National Health Institute of Health Carlos III (ISCIII), through CIBEROBN, European Commission PI13/00673 PI13/00492 PI13/00272 PI13/01123 PI13/00462 PI13/00233 PI13/02184 PI13/00728 PI13/01090 PI13/01056 PI14/01722 PI14/00636 PI14/00618 PI14/00696 PI14/01206, Especial Action Project entitled: Implementacion y evaluacion de una intervencion intensiva sobre la actividad fisica Cohorte PREDIMED-Plus grant, La Caixa Foundation 2013ACUP00194, Junta de Andalucia PI0458/2013 PS0358/2016 PI0137/2018 RH-0024-2021, Center for Forestry Research & Experimentation (CIEF), European Commission PROMETEO/2017/017, SEMERGEN grant, Spanish Government IJC2019-042420-I, European Social Fund (ESF), Spanish National Health Institute of Health Carlos III (ISCIII) CPII20/00014 ICREA, The European Regional Development Fund PI17/00855 PI17/01347 PI17/00525 PI17/01827 PI17/00532 PI17/00215 PI17/01441 PI17/00508 PI17/01732 PI17/00926 PI19/00957 PI19/00386 PI19/00309 PI19/01032 PI19/00576 European Commission PI19/00017 PI19/01226 PI19/00781 PI19/01560 PI19/01332 PI20/01802 PI20/00138 PI20/01532 PI20/00456 PI20/00339 PI20/00557 PI20/00886 PI20/01158 PI21/00465, "Fondo de Investigacion para la Salud" (FIS), European Commission PI14/01919 PI14/00853 PI14/01374 PI14/00972 PI14/00728 PI14/01471 PI16/00473 PI16/00662 PI16/01873 PI16/01094 PI16/00501 PI16/00533 PI16/00381 PI16/00366 PI16/01522 PI16/01120 PI17/00764 PI17/01183