Cristina Valle-Hita1,2,3, Andrés Díaz-López1,2,4,5, Nerea Becerra-Tomás6,7,8,9, Miguel A Martínez-González4,10,11, Verónica Ruiz García1,12, Dolores Corella4,13, Albert Goday4,14, J Alfredo Martínez4,15,16, Ángel M Alonso-Gómez4,17, Julia Wärnberg4,18, Jesús Vioque19,20, Dora Romaguera4,21, José López-Miranda4,22, Ramon Estruch4,23, Francisco J Tinahones4,24, José Lapetra4,25, Luís Serra-Majem4,26, Naomi Cano-Ibáñez20,27, Josep A Tur4,21,28, María Rubín-García29, Xavier Pintó4,30,31, Miguel Delgado-Rodríguez20,32, Pilar Matía-Martín33, Josep Vidal34,35, Sebastian Mas Fontao36, Lidia Daimiel37, Emilio Ros4,38, Estefania Toledo4,10, José V Sorlí4,13, C Roca4,14, Iztiar Abete4,15, Anai Moreno-Rodriguez4,17, Edelys Crespo-Oliva4,18, Inmaculada Candela-García39, Marga Morey4,21, Antonio Garcia-Rios4,22, Rosa Casas4,23, Jose Carlos Fernandez-Garcia24, José Manuel Santos-Lozano4,25, Javier Diez-Espino4,10,40, Carolina Ortega-Azorín4,13, M Comas4,14, M Angeles Zulet4,15, Carolina Sorto-Sanchez4,17, Miguel Ruiz-Canela4,10, Montse Fitó4,14, Jordi Salas-Salvadó1,2,3,4, Nancy Babio1,2,3,4. 1. Department of Biochemistry and Biotechonology, Universitat Rovira i Virgili, Human Nutrition Unit, Carrer Sant Llorenç, 21, 43201, Reus, Spain. 2. Institut ďInvestigació Sanitària Pere Virgili (IISPV), 43204, Reus, Spain. 3. University Hospital of Sant Joan de Reus, Nutrition Unit, 43201, Reus, Spain. 4. Consorcio CIBER, M.P. Fisiopatología de la Obesidad y la Nutrición (CIBERObn), Institute of Health Carlos III, 28029, Madrid, Spain. 5. Serra Hunter Fellow, Nutrition and Mental Health Research Group (NUTRISAM), Universitat Rovira i Virgili, 43201, Reus, Spain. 6. Department of Biochemistry and Biotechonology, Universitat Rovira i Virgili, Human Nutrition Unit, Carrer Sant Llorenç, 21, 43201, Reus, Spain. nerea.becerra@urv.cat. 7. Institut ďInvestigació Sanitària Pere Virgili (IISPV), 43204, Reus, Spain. nerea.becerra@urv.cat. 8. Consorcio CIBER, M.P. Fisiopatología de la Obesidad y la Nutrición (CIBERObn), Institute of Health Carlos III, 28029, Madrid, Spain. nerea.becerra@urv.cat. 9. Department of Epidemiology and Biostatistics, School of Public Health, Faculty of Medicine, Imperial College London, St Mary's Campus, Norfolk Place, London, W2 1PG, UK. nerea.becerra@urv.cat. 10. Department of Preventive Medicine and Public Health, University of Navarra, IdiSNA, 31008, Pamplona, Spain. 11. Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, 02115, USA. 12. University Hospital of Tarragona Joan XXIII, 43005, Tarragona, Spain. 13. Department of Preventive Medicine, University of Valencia, 46010, Valencia, Spain. 14. Cardiovascular Risk and Nutrition Research Group (CARIN), Hospital del Mar Research Institute (IMIM), Departament de Medicina, Universitat Autònoma de Barcelona, 08003, Barcelona, Spain. 15. Department of Nutrition, Food Science and Physiology, University of Navarra, IdiSNA, 31008, Pamplona, Spain. 16. Precision Nutrition Program, CEI UAM + CSIC, IMDEA Food and Health Sciences, 28049, Madrid, Spain. 17. Bioaraba Health Research Institute, Osakidetza Basque Health Service, Araba University Hospital, University of the Basque Country UPV/EHU, 01009, Vitoria-Gasteiz, Spain. 18. Department of Nursing, University of Málaga, Institute of Biomedical Research in Malaga (IBIMA), 29071, Málaga, Spain. 19. Instituto de Investigación Sanitaria y Biomédica de Alicante, Miguel Hernandez University (ISABIAL-UMH), 46020, Alicante, Spain. 20. CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, 28029, Madrid, Spain. 21. Health Research Institute of the Balearic Islands (IdISBa), 07120, Palma de Mallorca, Spain. 22. Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, 14004, Cordoba, Spain. 23. Department of Internal Medicine, Institutd'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, 08036, Barcelona, Spain. 24. Department of Endocrinology, Virgen de la Victoria Hospital Instituto de Investigación Biomédica de Málaga (IBIMA), University of Málaga, 29010, Málaga, Spain. 25. Department of Family Medicine, Research Unit, Distrito Sanitario Atención Primaria Sevilla, 41013, Sevilla, Spain. 26. Preventive Medicine Service, University of Las Palmas de Gran Canaria, Research Institute of Biomedical and Health Sciences (IUIBS), Centro Hospitalario Universitario Insular Materno Infantil (CHUIMI), Canarian Health Service, 35016, Las Palmas, Spain. 27. Department of Preventive Medicine, University of Granada, 18071, Granada, Spain. 28. Research Group On Community Nutrition and Oxidative Stress, University of Balearic Islands, 07122, Palma de Mallorca, Spain. 29. Institute of Biomedicine (IBIOMED), University of León, 24071, León, Spain. 30. Lipids and Vascular Risk Unit, Internal Medicine, Hospital Universitario de Bellvitge-IDIBELL, Hospitalet de Llobregat, 08907, Barcelona, Spain. 31. University of Barcelona, 08007, Barcelona, Spain. 32. Division of Preventive Medicine, Faculty of Medicine, University of Jaén, 23071, Jaén, Spain. 33. Department of Endocrinology and Nutrition, Instituto de Investigación Sanitaria Hospital Clínico San Carlos (IdISSC), 28040, Madrid, Spain. 34. Departament of Endocrinology, IDIBAPS, Hospital Clínic, University of Barcelona, 08036, Barcelona, Spain. 35. CIBER Diabetes y Enfermedades Metabólicas (CIBERDEM), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain. 36. Department of Endocrinology and Nutrition, University Hospital Fundación Jimenez Díaz, Instituto de Investigaciones Biomédicas IISFJD, 28040, Madrid, Spain. 37. CEI UAM + CSIC, Nutritional Control of the Epigenome Group, IMDEA Food, 28049, Madrid, Spain. 38. Department of Endocrinology and Nutrition, Lipid Clinic, Hospital Clínic, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), 08036, Barcelona, Spain. 39. Centro de Salud Santa Pola, 03130, Alicante, Spain. 40. Atención Primaria, Servicio Navarro de Salud, Osasunbidea, Pamplona, Spain.
Abstract
PURPOSE: To assess the association between three different a priori dietary patterns adherence (17-item energy reduced-Mediterranean Diet (MedDiet), Trichopoulou-MedDiet and Dietary Approach to Stop Hypertension (DASH)), as well as the Protein Diet Score and kidney function decline after one year of follow-up in elderly individuals with overweight/obesity and metabolic syndrome (MetS). METHODS: We prospectively analyzed 5675 participants (55-75 years) from the PREDIMED-Plus study. At baseline and at one year, we evaluated the creatinine-based estimated glomerular filtration rate (eGFR) and food-frequency questionnaires-derived dietary scores. Associations between four categories (decrease/maintenance and tertiles of increase) of each dietary pattern and changes in eGFR (ml/min/1.73m2) or ≥ 10% eGFR decline were assessed by fitting multivariable linear or logistic regression models, as appropriate. RESULTS: Participants in the highest tertile of increase in 17-item erMedDiet Score showed higher upward changes in eGFR (β: 1.87 ml/min/1.73m2; 95% CI: 1.00-2.73) and had lower odds of ≥ 10% eGFR decline (OR: 0.62; 95% CI: 0.47-0.82) compared to individuals in the decrease/maintenance category, while Trichopoulou-MedDiet and DASH Scores were not associated with any renal outcomes. Those in the highest tertile of increase in Protein Diet Score had greater downward changes in eGFR (β: - 0.87 ml/min/1.73m2; 95% CI: - 1.73 to - 0.01) and 32% higher odds of eGFR decline (OR: 1.32; 95% CI: 1.00-1.75). CONCLUSIONS: Among elderly individuals with overweight/obesity and MetS, only higher upward change in the 17-item erMedDiet score adherence was associated with better kidney function after one year. However, increasing Protein Diet Score appeared to have an adverse impact on kidney health. TRIAL REGISTRATION NUMBER: ISRCTN89898870 (Data of registration: 2014).
PURPOSE: To assess the association between three different a priori dietary patterns adherence (17-item energy reduced-Mediterranean Diet (MedDiet), Trichopoulou-MedDiet and Dietary Approach to Stop Hypertension (DASH)), as well as the Protein Diet Score and kidney function decline after one year of follow-up in elderly individuals with overweight/obesity and metabolic syndrome (MetS). METHODS: We prospectively analyzed 5675 participants (55-75 years) from the PREDIMED-Plus study. At baseline and at one year, we evaluated the creatinine-based estimated glomerular filtration rate (eGFR) and food-frequency questionnaires-derived dietary scores. Associations between four categories (decrease/maintenance and tertiles of increase) of each dietary pattern and changes in eGFR (ml/min/1.73m2) or ≥ 10% eGFR decline were assessed by fitting multivariable linear or logistic regression models, as appropriate. RESULTS: Participants in the highest tertile of increase in 17-item erMedDiet Score showed higher upward changes in eGFR (β: 1.87 ml/min/1.73m2; 95% CI: 1.00-2.73) and had lower odds of ≥ 10% eGFR decline (OR: 0.62; 95% CI: 0.47-0.82) compared to individuals in the decrease/maintenance category, while Trichopoulou-MedDiet and DASH Scores were not associated with any renal outcomes. Those in the highest tertile of increase in Protein Diet Score had greater downward changes in eGFR (β: - 0.87 ml/min/1.73m2; 95% CI: - 1.73 to - 0.01) and 32% higher odds of eGFR decline (OR: 1.32; 95% CI: 1.00-1.75). CONCLUSIONS: Among elderly individuals with overweight/obesity and MetS, only higher upward change in the 17-item erMedDiet score adherence was associated with better kidney function after one year. However, increasing Protein Diet Score appeared to have an adverse impact on kidney health. TRIAL REGISTRATION NUMBER: ISRCTN89898870 (Data of registration: 2014).
Authors: Jennifer A Nettleton; Lyn M Steffen; Walter Palmas; Gregory L Burke; David R Jacobs Journal: Am J Clin Nutr Date: 2008-06 Impact factor: 7.045
Authors: Katrina E Bach; Jaimon T Kelly; Suetonia C Palmer; Saman Khalesi; Giovanni F M Strippoli; Katrina L Campbell Journal: Clin J Am Soc Nephrol Date: 2019-09-24 Impact factor: 8.237