Indira Paz-Graniel1,2,3, Nancy Babio4,5,6, Nerea Becerra-Tomás1,2,3,7, Estefania Toledo3,8, Lucia Camacho-Barcia1,2,3, Dolores Corella3,9, Olga Castañer-Niño3,10, Dora Romaguera3,10, Jesús Vioque11,12, Ángel M Alonso-Gómez3,13, Julia Wärnberg3,14, J Alfredo Martínez3,15,16, Luís Serra-Majem3,17, Ramon Estruch3,18, Francisco J Tinahones3,19, Fernando Fernandez-Aranda3,20, José Lapetra3,21, Xavier Pintó3,22, Josep A Tur3,23,24, Antonio García-Rios3,25, Aurora Bueno-Cavanillas13,26, José J Gaforio11,27, Pilar Matía-Martín28, Lidia Daimiel29, Vicente Martín Sánchez3,30, Josep Vidal31,32, Lucía Prieto-Sanchez33, Emilio Ros3,34, Cristina Razquin3,8, Cristina Mestres35,36, José V Sorli3,9, Aida M Cuenca-Royo3,37, Angel Rios23, Laura Torres-Collado11,12, Jessica Vaquero-Luna3,13, Napoleon Pérez-Farinós3,38, M Angeles Zulet3,15,39, Almudena Sanchez-Villegas3,17, Rosa Casas3,18, M Rosa Bernal-Lopez3,40, José Manuel Santos-Lozano3,21, Xavier Corbella22,41, David Mateos3,11,24, Pilar Buil-Cosiales3,8, Susana Jiménez-Murcia3,20, Rebeca Fernandez-Carrion3,9, Laura Forcano-Gamazo3,37, Meritxell López23, Miguel Ángel Sempere-Pascual42, Anai Moreno-Rodriguez3,13, Alfredo Gea3,8, Rafael de la Torre-Fornell3,37, Jordi Salas-Salvadó43,44,45,46. 1. Department of Biochemistry and Biotechnology, Human Nutrition Unit, Rovira i Virgili University, Reus, Spain. 2. Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain. 3. CIBER Physiology of Obesity and Nutrition (CIBEROBN), Carlos III Health Institute, Madrid, Spain. 4. Department of Biochemistry and Biotechnology, Human Nutrition Unit, Rovira i Virgili University, Reus, Spain. nancy.babio@urv.cat. 5. Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain. nancy.babio@urv.cat. 6. CIBER Physiology of Obesity and Nutrition (CIBEROBN), Carlos III Health Institute, Madrid, Spain. nancy.babio@urv.cat. 7. Department of Preventive Medicine and Public Health, School of Medicine, University of Valencia, 46010, Valencia, Spain. 8. Department of Preventive Medicine and Public Health, IdiSNA, University of Navarra, Pamplona, Spain. 9. Department of Preventive Medicine, University of Valencia, Valencia, Spain. 10. Cardiovascular Risk and Nutrition Research Group (CARIN), Hospital del Mar Research Institute (IMIM), Barcelona, Spain. 11. CIBER Epidemiology and Public Health (CIBERESP), Carlos III Health Institute, Madrid, Spain. 12. ISABIAL-UMH, Miguel Hernandez University, Alicante, Spain. 13. Bioaraba Health Research Institute, Osakidetza Basque Health Service, Araba University Hospital, University of the Basque Country UPV/EHU, Vitoria-Gasteiz, Spain. 14. Department of Nursing, School of Health Sciences, University of Málaga-Instituto de Investigación Biomédica de Málaga (IBIMA), Málaga, Spain. 15. Department of Nutrition, Food Science and Physiology, IDISNA, University of Navarra, Pamplona, Spain. 16. Nutritional Genomics and Epigenomics Group, IMDEA Food, CEI UAM + CSIC, Madrid, Spain. 17. Research Institute of Biomedical and Health Sciences (IUIBS), Preventive Medicine Service, Centro Hospitalario Universitario Insular Materno Infantil (CHUIMI), Canarian Health Service, University of Las Palmas de Gran Canaria, Las Palmas, Spain. 18. Department of Internal Medicine, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clínic, University of Barcelona, Barcelona, Spain. 19. Department of Endocrinology. Biomedical Research Institute of Malaga (IBIMA), Virgen de la Victoria Hospital, University of Málaga, Málaga, Spain. 20. Department of Psychiatry, Bellvitge University Hospital-IDIBELL, Barcelona, Spain. 21. Research Unit, Department of Family Medicine, Distrito Sanitario Atención Primaria Sevilla, Sevilla, Spain. 22. Lipids and Vascular Risk Unit, Internal Medicine, Bellvitge University Hospital, Hospitalet de Llobregat, Barcelona, Spain. 23. Health Research Institute of the Balearic Islands (IdISBa), University Hospital Son Espases, Palma, Spain. 24. Research Group on Community Nutrition and Oxidative Stress, University of the Balearic Islands, Palma de Mallorca, Spain. 25. Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, Cordoba, Spain. 26. Department of Preventive Medicine, University of Granada, Granada, Spain. 27. Departamento de Ciencias de La Salud, Centro de Estudios Avanzados en Olivar y Aceites de Oliva, Universidad de Jaén, Jaén, Spain. 28. Department of Endocrinology and Nutrition, Health Research Institute of the San Carlos Clinical Hospital (IdISSC), Madrid, Spain. 29. Nutritional Genomics and Epigenomics Group , IMDEA Food, CEI UAM + CSIC, Madrid, Spain. 30. Institute of Biomedicine (IBIOMED), University of León, León, Spain. 31. CIBER Diabetes and Associated Metabolic Diseases (CIBERDEM), Carlos III Health Institute (ISCIII), Madrid, Spain. 32. Department of Endocrinology, August Pi i Sunyer Biomedical Research Institute (IDIBAPS), Hospital Clínic, University of Barcelona, Barcelona, Spain. 33. Department of Endocrinology, Fundación Jiménez-Díaz, Madrid, Spain. 34. Lipid Clinic, Department of Endocrinology and Nutrition, August Pi i Sunyer Biomedical Research Institute (IDIBAPS), Hospital Clínic, Barcelona, Spain. 35. Joan XXIII University Hospital, Tarragona, Spain. 36. Horts de Miró Health Center, Reus, Spain. 37. Integrative Pharmacology and Systems Neurosciences (FINS), Hospital del Mar Research Institute (IMIM), Barcelona, Spain. 38. Department of Public Health, School of Medicine, University of Malaga-Biomedical Research Institute of Malaga (IBIMA), Málaga, Spain. 39. Centre for Nutrition Research, Faculty of Pharmacy and Nutrition, University of Navarra, Pamplona, Spain. 40. Regional University Hospital of Malaga, Internal Medicine Department , Instituto de Investigación Biomédica de Málaga (IBIMA), Málaga, Spain. 41. Medicine and Health Science Faculty, Universitat Internacional de Catalunya, Barcelona, Spain. 42. Santa Pola Health Center, Alicante, Spain. 43. Department of Biochemistry and Biotechnology, Human Nutrition Unit, Rovira i Virgili University, Reus, Spain. jordi.salas@urv.cat. 44. Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain. jordi.salas@urv.cat. 45. CIBER Physiology of Obesity and Nutrition (CIBEROBN), Carlos III Health Institute, Madrid, Spain. jordi.salas@urv.cat. 46. The Sant Joan University Hospital, Human Nutrition Unit, Reus, Spain. jordi.salas@urv.cat.
Abstract
PURPOSE: Coffee is rich in compounds such as polyphenols, caffeine, diterpenes, melanoidins and trigonelline, which can stimulate brain activity. Therefore, the possible association of coffee consumption with cognition is of considerable research interest. In this paper, we assess the association of coffee consumption and total dietary caffeine intake with the risk of poor cognitive functioning in a population of elderly overweight/obese adults with metabolic syndrome (MetS). METHODS: PREDIMED-plus study participants who completed the Mini-Mental State Examination test (MMSE) (n = 6427; mean age = 65 ± 5 years) or a battery of neuropsychological tests were included in this cross-sectional analysis. Coffee consumption and total dietary caffeine intake were assessed at baseline using a food frequency questionnaire. Logistic regression models were fitted to evaluate the association between total, caffeinated and decaffeinated coffee consumption or total dietary caffeine intake and cognitive impairment. RESULTS: Total coffee consumers and caffeinated coffee consumers had better cognitive functioning than non-consumers when measured by the MMSE and after adjusting for potential confounders (OR 0.63; 95% CI 0.44-0.90 and OR 0.56; 95% CI 0.38-0.83, respectively). Results were similar when cognitive performance was measured using the Clock Drawing Test (CDT) and Trail Making Test B (TMT-B). These associations were not observed for decaffeinated coffee consumption. Participants in the highest tertile of total dietary caffeine intake had lower odds of poor cognitive functioning than those in the reference tertile when screened by the MMSE (OR 0.64; 95% CI 0.47-0.87) or other neurophysiological tests evaluating a variety of cognitive domains (i.e., CDT and TMT-A). CONCLUSIONS: Coffee consumption and total dietary caffeine intake were associated with better cognitive functioning as measured by various neuropsychological tests in a Mediterranean cohort of elderly individuals with MetS. TRIAL REGISTRATION: ISRCTN89898870. Registration date: July 24, 2014.
PURPOSE: Coffee is rich in compounds such as polyphenols, caffeine, diterpenes, melanoidins and trigonelline, which can stimulate brain activity. Therefore, the possible association of coffee consumption with cognition is of considerable research interest. In this paper, we assess the association of coffee consumption and total dietary caffeine intake with the risk of poor cognitive functioning in a population of elderly overweight/obese adults with metabolic syndrome (MetS). METHODS: PREDIMED-plus study participants who completed the Mini-Mental State Examination test (MMSE) (n = 6427; mean age = 65 ± 5 years) or a battery of neuropsychological tests were included in this cross-sectional analysis. Coffee consumption and total dietary caffeine intake were assessed at baseline using a food frequency questionnaire. Logistic regression models were fitted to evaluate the association between total, caffeinated and decaffeinated coffee consumption or total dietary caffeine intake and cognitive impairment. RESULTS: Total coffee consumers and caffeinated coffee consumers had better cognitive functioning than non-consumers when measured by the MMSE and after adjusting for potential confounders (OR 0.63; 95% CI 0.44-0.90 and OR 0.56; 95% CI 0.38-0.83, respectively). Results were similar when cognitive performance was measured using the Clock Drawing Test (CDT) and Trail Making Test B (TMT-B). These associations were not observed for decaffeinated coffee consumption. Participants in the highest tertile of total dietary caffeine intake had lower odds of poor cognitive functioning than those in the reference tertile when screened by the MMSE (OR 0.64; 95% CI 0.47-0.87) or other neurophysiological tests evaluating a variety of cognitive domains (i.e., CDT and TMT-A). CONCLUSIONS: Coffee consumption and total dietary caffeine intake were associated with better cognitive functioning as measured by various neuropsychological tests in a Mediterranean cohort of elderly individuals with MetS. TRIAL REGISTRATION: ISRCTN89898870. Registration date: July 24, 2014.
Authors: Kathy F Yates; Victoria Sweat; Po Lai Yau; Michael M Turchiano; Antonio Convit Journal: Arterioscler Thromb Vasc Biol Date: 2012-09 Impact factor: 8.311
Authors: Agnes A M Berendsen; Jae H Kang; Ondine van de Rest; Edith J M Feskens; Lisette C P G M de Groot; Francine Grodstein Journal: J Am Med Dir Assoc Date: 2017-01-17 Impact factor: 4.669
Authors: K G M M Alberti; Robert H Eckel; Scott M Grundy; Paul Z Zimmet; James I Cleeman; Karen A Donato; Jean-Charles Fruchart; W Philip T James; Catherine M Loria; Sidney C Smith Journal: Circulation Date: 2009-10-05 Impact factor: 29.690