Jadwiga Konieczna1, Marga Morey2, Itziar Abete3, Maira Bes-Rastrollo4, Miguel Ruiz-Canela4, Jesus Vioque5, Sandra Gonzalez-Palacios5, Lidia Daimiel6, Jordi Salas-Salvadó7, Miguel Fiol2, Vicente Martín8, Ramón Estruch9, Josep Vidal10, Miguel A Martínez-González11, Silvia Canudas7, Antoni J Jover12, Tania Fernández-Villa13, Rosa Casas9, Romina Olbeyra14, Pilar Buil-Cosiales15, Nancy Babio7, Helmut Schröder16, J Alfredo Martínez17, Dora Romaguera2. 1. Research Group on Nutritional Epidemiology & Cardiovascular Physiopathology (NUTRECOR), Health Research Institute of the Balearic Islands (IdISBa), University Hospital Son Espases (HUSE), Palma de Mallorca, Spain; Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain. Electronic address: jadwiga.konieczna@ssib.es. 2. Research Group on Nutritional Epidemiology & Cardiovascular Physiopathology (NUTRECOR), Health Research Institute of the Balearic Islands (IdISBa), University Hospital Son Espases (HUSE), Palma de Mallorca, Spain; Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain. 3. Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Department of Nutrition, Food Sciences, and Physiology, Center for Nutrition Research, Pamplona, University of Navarra, Navarra Institute for Health Research (IdiSNA), Pamplona, Spain. 4. Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Department of Preventive Medicine and Public Health, University of Navarra, Navarra Institute for Health Research (IdiSNA), Pamplona, Spain. 5. CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Instituto de Investigación Sanitaria y Biomédica de Alicante, ISABIAL-UMH, Alicante, Spain. 6. Nutritional Control of the Epigenome Group, Precision Nutrition and Obesity Program, IMDEA Food, CEI UAM + CSIC, Madrid, Spain. 7. Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Universitat Rovira i Virgili, Department de Bioquímica i Biotecnologia, Unitat de Nutrició Humana. Hospital Universitari San Joan de Reus, Reus, Spain; Institut d'Investigació Pere Virgili (IISPV), Reus, Spain. 8. CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Grupo de Investigación en Interacciones Gen - Ambiente y Salud (GIIGAS)/Instituto de Biomedicina (IBIOMED), Universidad de León, León, Spain. 9. Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Department of Internal Medicine, IDIBAPS, Hospital Clinic, University of Barcelona, Barcelona, Spain. 10. CIBER Diabetes y Enfermedades Metabólicas (CIBERDEM), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Department of Endocrinology, Institut d'Investigacions Biomédiques August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, Barcelona, Spain. 11. Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Department of Preventive Medicine and Public Health, University of Navarra, Navarra Institute for Health Research (IdiSNA), Pamplona, Spain; Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA, USA. 12. Atención Primaria Mallorca, Centro de Salud Arquitecte Bennàssar, Palma de Mallorca, Spain. 13. Grupo de Investigación en Interacciones Gen - Ambiente y Salud (GIIGAS)/Instituto de Biomedicina (IBIOMED), Universidad de León, León, Spain. 14. Department of Endocrinology, Institut d'Investigacions Biomédiques August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, Barcelona, Spain. 15. Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Department of Preventive Medicine and Public Health, University of Navarra, Navarra Institute for Health Research (IdiSNA), Pamplona, Spain; Atención Primaria, Servicio Navarro de Salud-Osasunbidea, Pamplona, Spain. 16. CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d'Investigació Mèdica (IMIM), Barcelona, Spain. 17. Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Department of Nutrition, Food Sciences, and Physiology, Center for Nutrition Research, Pamplona, University of Navarra, Navarra Institute for Health Research (IdiSNA), Pamplona, Spain; Precision Nutrition and Cardiometabolic Health Program, IMDEA Food, CEI UAM + CSIC, Madrid, Spain.
Abstract
BACKGROUND & AIMS: Ultra-processed food and drink products (UPF) consumption has been associated with obesity and its-related comorbidities. Excess of visceral fat, which appears with increasing age, has been considered as the culprit contributing to adiposity-associated adverse health outcomes. However, none of previous studies elucidated the link between UPF and directly quantified adiposity and its distribution. We aimed to prospectively investigate the association between concurrent changes in UPF consumption and objectively assessed adiposity distribution. METHODS: A subsample of 1485 PREDIMED-Plus participants (Spanish men and women aged 55-75 years with overweight/obesity and metabolic syndrome) underwent body composition measurements. Consumption of UPF at baseline, 6 and 12 months was evaluated using a validated 143-item semi-quantitative Food Frequency Questionnaire. Food items (g/day) were categorized according to their degree of processing using NOVA system. Regional adiposity (visceral fat (in g) and android-to-gynoid fat ratio) and total fat mass (in g) at three time points were measured with dual-energy X-ray absorptiometry (DXA) and were normalized using sex-specific z-scores. The association of changes in UPF consumption, expressed as the percentage of total daily intake (daily g of UPF/total daily g of food and beverage intake∗100), with adiposity changes was evaluated using linear mixed-effects models. RESULTS: On average, the consumption of UPF accounted for 8.11% (SD 7.41%) of total daily intake (in grams) at baseline. In multivariable-adjusted model, 10% daily increment in consumption of UPF was associated with significantly (all p-values <0.05) greater accumulation of visceral fat (β 0.09 z-scores, 95% CI 0.05; 0.13), android-to-gynoid fat ratio (0.05, 0.00; 0.09) and total fat (0.09, 0.06; 0.13). CONCLUSION: A higher consumption of UPF was associated with greater age-related visceral and overall adiposity accumulation. Further studies are warranted to confirm these results in other populations and settings. TRIAL REGISTRATION: The trial was registered at the International Standard Randomized Controlled Trial (ISRCTN: http://www.isrctn.com/ISRCTN89898870) with number 89898870 and registration date of 24 July 2014, retrospectively registered.
BACKGROUND & AIMS: Ultra-processed food and drink products (UPF) consumption has been associated with obesity and its-related comorbidities. Excess of visceral fat, which appears with increasing age, has been considered as the culprit contributing to adiposity-associated adverse health outcomes. However, none of previous studies elucidated the link between UPF and directly quantified adiposity and its distribution. We aimed to prospectively investigate the association between concurrent changes in UPF consumption and objectively assessed adiposity distribution. METHODS: A subsample of 1485 PREDIMED-Plus participants (Spanish men and women aged 55-75 years with overweight/obesity and metabolic syndrome) underwent body composition measurements. Consumption of UPF at baseline, 6 and 12 months was evaluated using a validated 143-item semi-quantitative Food Frequency Questionnaire. Food items (g/day) were categorized according to their degree of processing using NOVA system. Regional adiposity (visceral fat (in g) and android-to-gynoid fat ratio) and total fat mass (in g) at three time points were measured with dual-energy X-ray absorptiometry (DXA) and were normalized using sex-specific z-scores. The association of changes in UPF consumption, expressed as the percentage of total daily intake (daily g of UPF/total daily g of food and beverage intake∗100), with adiposity changes was evaluated using linear mixed-effects models. RESULTS: On average, the consumption of UPF accounted for 8.11% (SD 7.41%) of total daily intake (in grams) at baseline. In multivariable-adjusted model, 10% daily increment in consumption of UPF was associated with significantly (all p-values <0.05) greater accumulation of visceral fat (β 0.09 z-scores, 95% CI 0.05; 0.13), android-to-gynoid fat ratio (0.05, 0.00; 0.09) and total fat (0.09, 0.06; 0.13). CONCLUSION: A higher consumption of UPF was associated with greater age-related visceral and overall adiposity accumulation. Further studies are warranted to confirm these results in other populations and settings. TRIAL REGISTRATION: The trial was registered at the International Standard Randomized Controlled Trial (ISRCTN: http://www.isrctn.com/ISRCTN89898870) with number 89898870 and registration date of 24 July 2014, retrospectively registered.
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Authors: Rocío Zamanillo-Campos; Alice Chaplin; Dora Romaguera; Itziar Abete; Jordi Salas-Salvadó; Vicente Martín; Ramón Estruch; Josep Vidal; Miguel Ruiz-Canela; Nancy Babio; Francisca Fiol; José Antonio de Paz; Rosa Casas; Romina Olbeyra; Miguel A Martínez-González; Jesús F García-Gavilán; Albert Goday; Cesar I Fernandez-Lazaro; J Alfredo Martínez; Frank B Hu; Jadwiga Konieczna Journal: Clin Nutr Date: 2022-08-20 Impact factor: 7.643
Authors: 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; Dora Romaguera Journal: Nutrients Date: 2022-10-05 Impact factor: 6.706