Marilena Vitale1, Olga Vaccaro1, Maria Masulli1, Enzo Bonora2, Stefano Del Prato3, Carlo B Giorda4, Antonio Nicolucci5, Sebastiano Squatrito6, Stefania Auciello1, Anna C Babini7, Laura Bani8, Raffaella Buzzetti9, Emanuela Cannarsa10, Mauro Cignarelli11, Massimo Cigolini2, Gennaro Clemente12, Sara Cocozza1, Laura Corsi13, Federica D'Angelo14, Elisabetta Dall'Aglio15, Graziano Di Cianni16, Lucia Fontana17, Giovanna Gregori18, Sara Grioni19, Carla Giordano20, Rossella Iannarelli21, Ciro Iovine1, Annunziata Lapolla22, Davide Lauro23, Luigi Laviola24, Chiara Mazzucchelli25, Stefano Signorini8, Laura Tonutti26, Roberto Trevisan27, Chiara Zamboni28, Gabriele Riccardi1, Angela A Rivellese29. 1. Dipartimento di Medicina Clinica e Chirurgia, Università"Federico II", Naples, Italy. 2. Dipartimento di Endocrinologia, Diabetologia e Metabolismo, Università di Verona, Italy. 3. Dipartimento di Medicina Clinica e Sperimentale, Università di Pisa, Italy. 4. ASL Torino 5, Chieri, Italy. 5. CORESEARCH, Center for Outcomes Research and Clinical Epidemiology, Pescara, Italy. 6. Dipartimento di Medicina Clinica e Sperimentale, Università di Catania, Italy. 7. Diabetologia, Ospedale Infermi di Rimini, Italy. 8. Dipartimento di Patologia Sperimentale, Ospedale di Desio, Università di Milano Bicocca, Italy. 9. UOC di Diabetologia Universitaria, Ospedale Santa Maria Goretti, Latina, Italy. 10. UOSD Diabetologia, Presidio Ospedaliero, Atri, Italy. 11. UO Endocrinologia e Malattie del Metabolismo, AOU di Foggia, Italy. 12. IRPPS Research National Council, Penta di Fisciano, Salerno, Italy. 13. SSD Diabetologia e Malattie del Metabolismo, ASL 4 Chiavarese, Genova, Italy. 14. UOC Malattie Metaboliche e Diabetologia, INRCA-IRCCS Institute, Ancona, Italy. 15. Dipartimento di Medicina Clinica e Sperimentale, Università di Parma, Italy. 16. UOC Diabetologia, ASL 6, Livorno, Italy. 17. UOC Diabetologia e Dietologia, Ospedale Pertini, Roma, Italy. 18. UO Diabetologia e Malattie del Metabolismo, USL1 di Massa e Carrara, Italy. 19. Unità di Epidemiologia e Prevenzione, Fondazione IRCCS, Istituto Nazionale Tumori, Milano, Italy. 20. Dipartimento di Endocrinologia e Malattie Metaboliche, Università di Palermo, Italy. 21. UOSD Diabetologia e Malattie del Metabolismo, Ospedale San Salvatore, L'Aquila, Italy. 22. Dipartimento di Medicina, Università di Padova, Italy. 23. Dipartimento di Medicina Interna, Università di Tor Vergata, Roma, Italy. 24. Dipartimento Emergenza e Trapianti di Organi, Università"Aldo Moro", Bari, Italy. 25. DIMI, Università di Genova, IRCCS San Martino, Italy. 26. SOC di Endocrinologia e Malattie del Metabolismo, AOU S. Maria della Misericordia, Udine, Italy. 27. USC Malattie Endocrine-Diabetologia, ASST "Papa Giovanni XXIII", Bergamo, Italy. 28. UO Malattie Metaboliche, Dietologia e Nutrizione Clinica, AOU Arcispedale S. Anna, Ferrara, Italy. 29. Dipartimento di Medicina Clinica e Chirurgia, Università"Federico II", Naples, Italy. Electronic address: rivelles@unina.it.
Abstract
BACKGROUND: The role of polyphenol intake on cardiovascular risk factors is little explored, particularly in people with diabetes. AIM: To evaluate the association between the intake of total polyphenols and polyphenol classes with the major cardiovascular risk factors in a population with type 2 diabetes. METHODS: Dietary habits were investigated in 2573 males and females participants of the TOSCA.IT study. The European Prospective Investigation on Cancer and Nutrition (EPIC) questionnaire was used to assess dietary habits. In all participants, among others, we assessed anthropometry, plasma lipids, blood pressure, C-reactive protein and HbA1c following a standard protocol. The USDA and Phenol-Explorer databases were used to estimate the polyphenol content of the habitual diet. RESULTS: Average intake of polyphenols was 683.3 ± 5.8 mg/day. Flavonoids and phenolic acids were the predominant classes (47.5% and 47.4%, respectively). After adjusting for potential confounders, people with the highest intake of energy-adjusted polyphenols (upper tertile) had a more favorable cardiovascular risk factors profile as compared to people with the lowest intake (lower tertile) (BMI was 30.7 vs 29.9 kg/m2, HDL-cholesterol was 45.1 vs 46.9 mg/dl, LDL-cholesterol was 103.2 vs 102.1 mg/dl, triglycerides were 153.4 vs 148.0 mg/dl, systolic and diastolic blood pressure were respectively 135.3 vs 134.3 and 80.5 vs 79.6 mm/Hg, HbA1c was 7.70 vs 7.67%, and C-reactive Protein was 1.29 vs 1.25 mg/dl, p < .001 for all). The findings were very similar when the analysis was conducted separately for flavonoids or phenolic acids, the two main classes of polyphenols consumed in this population. CONCLUSIONS:Polyphenol intake is associated with a more favorable cardiovascular risk factors profile, independent of major confounders. These findings support the consumption of foods and beverages rich in different classes of polyphenols particularly in people with diabetes. CLINICAL TRIAL: http://www.clinicaltrials.gov; Study ID number: NCT00700856.
RCT Entities:
BACKGROUND: The role of polyphenol intake on cardiovascular risk factors is little explored, particularly in people with diabetes. AIM: To evaluate the association between the intake of total polyphenols and polyphenol classes with the major cardiovascular risk factors in a population with type 2 diabetes. METHODS: Dietary habits were investigated in 2573 males and females participants of the TOSCA.IT study. The European Prospective Investigation on Cancer and Nutrition (EPIC) questionnaire was used to assess dietary habits. In all participants, among others, we assessed anthropometry, plasma lipids, blood pressure, C-reactive protein and HbA1c following a standard protocol. The USDA and Phenol-Explorer databases were used to estimate the polyphenol content of the habitual diet. RESULTS: Average intake of polyphenols was 683.3 ± 5.8 mg/day. Flavonoids and phenolic acids were the predominant classes (47.5% and 47.4%, respectively). After adjusting for potential confounders, people with the highest intake of energy-adjusted polyphenols (upper tertile) had a more favorable cardiovascular risk factors profile as compared to people with the lowest intake (lower tertile) (BMI was 30.7 vs 29.9 kg/m2, HDL-cholesterol was 45.1 vs 46.9 mg/dl, LDL-cholesterol was 103.2 vs 102.1 mg/dl, triglycerides were 153.4 vs 148.0 mg/dl, systolic and diastolic blood pressure were respectively 135.3 vs 134.3 and 80.5 vs 79.6 mm/Hg, HbA1c was 7.70 vs 7.67%, and C-reactive Protein was 1.29 vs 1.25 mg/dl, p < .001 for all). The findings were very similar when the analysis was conducted separately for flavonoids or phenolic acids, the two main classes of polyphenols consumed in this population. CONCLUSIONS:Polyphenol intake is associated with a more favorable cardiovascular risk factors profile, independent of major confounders. These findings support the consumption of foods and beverages rich in different classes of polyphenols particularly in people with diabetes. CLINICAL TRIAL: http://www.clinicaltrials.gov; Study ID number: NCT00700856.
Authors: Katharina J Penczynski; Thomas Remer; Christian Herder; Hermann Kalhoff; Johanna Rienks; Daniel F Markgraf; Michael Roden; Anette E Buyken Journal: Nutrients Date: 2018-04-14 Impact factor: 5.717
Authors: Małgorzata Elżbieta Zujko; Anna Waśkiewicz; Anna Maria Witkowska; Danuta Szcześniewska; Tomasz Zdrojewski; Krystyna Kozakiewicz; Wojciech Drygas Journal: Oxid Med Cell Longev Date: 2018-03-26 Impact factor: 6.543