D Sluik1, N Jankovic1,2, M Hughes3, M G O'Doherty3, B Schöttker4,5, W Drygas6, O Rolandsson7, S Männistö8, J M Ordóñez-Mena4,9,10, J Ferrieres11, C Bamia12,13, G de Gaetano14, J C Kiefte-De Jong15,16, O H Franco16, I Sluijs17, A M W Spijkerman18, S Sans19, S Eriksson7, D Kromhout1, A Trichopoulou12,20, T Wilsgaard21, H Brenner4,9, K Kuulasmaa8, T Laatikainen8,22,23, S Söderberg24, L Iacoviello14, P Boffetta12,25, F Kee3, E J M Feskens1. 1. Division of Human Nutrition, Wageningen University, Wageningen, The Netherlands. 2. Centre of Clinical Epidemiology, Institute for Medical Informatics, Biometry and Epidemiology, Faculty of Medicine, University Duisburg-Essen, Essen, Germany. 3. UKCRC Centre of Excellence for Public Health, School of Medicine, Dentistry, and Biomedical Sciences, Queen's University Belfast, Belfast, Northern Ireland. 4. Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany. 5. Institute of Health Care and Social Sciences, FOM University, Essen, Germany. 6. Department of Epidemiology, CVD Prevention and Health Promotion, Institute of Cardiology, Warsaw, Poland. 7. Department of Public Health and Clinical Medicine, Family Medicine, Umeå University, Umeå, Sweden. 8. Department of Health, National Institute for Health and Welfare (THL), Helsinki, Finland. 9. Network of Aging Research (NAR), Heidelberg University, Heidelberg, Germany. 10. Nuffield Department of Primary Care and Health Sciences, University of Oxford, Oxford, UK. 11. Department of Cardiology, Toulouse University School of Medicine, Toulouse, France. 12. Hellenic Health Foundation, Athens, Greece. 13. Department of Hygiene, Epidemiology and Medical Statistics, University of Athens Medical School, Athens, Greece. 14. Department of Epidemiology and Prevention, IRCCS Istituto Neurologico Mediterraneo Neuromed, Pozzilli, Italy. 15. Global Public Health, Leiden University College, The Hague, The Netherlands. 16. Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands. 17. Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands. 18. National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands. 19. Catalan Department of Health, Barcelona, Spain. 20. WHO Collaborating Center for Nutrition and Health, Unit of Nutritional Epidemiology and Nutrition in Public Health, Department of Hygiene, Epidemiology and Medical Statistics, University of Athens Medical School, Athens, Greece. 21. Department of Community Medicine, UiT the Arctic University of Norway, Tromsø, Norway. 22. Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio, Finland. 23. Hospital District of North Karelia, Finland. 24. Department of Public Health and Clinical Medicine, Cardiology and Heart Centre, Umeå University, Umeå, Sweden. 25. Icahn School of Medicine, Mount Sinai School of Medicine, New York, NY, USA.
Abstract
BACKGROUND/ OBJECTIVES: It is unknown if wine, beer and spirit intake lead to a similar association with diabetes. We studied the association between alcoholic beverage preference and type 2 diabetes incidence in persons who reported to consume alcohol. SUBJECTS/ METHODS: Ten European cohort studies from the Consortium on Health and Ageing: Network of Cohorts in Europe and the United States were included, comprising participant data of 62 458 adults who reported alcohol consumption at baseline. Diabetes incidence was based on documented and/or self-reported diagnosis during follow-up. Preference was defined when ⩾70% of total alcohol consumed was either beer, wine or spirits. Adjusted hazard ratios (HRs) were computed using Cox proportional hazard regression. Single-cohort HRs were pooled by random-effects meta-analysis. RESULTS: Beer, wine or spirit preference was not related to diabetes risk compared with having no preference. The pooled HRs were HR 1.06 (95% confidence interval (CI) 0.93, 1.20) for beer, HR 0.99 (95% CI 0.88, 1.11) for wine, and HR 1.19 (95% CI 0.97, 1.46) for spirit preference. Absolute wine intake, adjusted for total alcohol, was associated with a lower diabetes risk: pooled HR per 6 g/day was 0.96 (95% CI 0.93, 0.99). A spirit preference was related to a higher diabetes risk in those with a higher body mass index, in men and women separately, but not after excluding persons with prevalent diseases. CONCLUSIONS: This large individual-level meta-analysis among persons who reported alcohol consumption revealed that the preference for beer, wine, and spirits was similarly associated with diabetes incidence compared with having no preference.
BACKGROUND/ OBJECTIVES: It is unknown if wine, beer and spirit intake lead to a similar association with diabetes. We studied the association between alcoholic beverage preference and type 2 diabetes incidence in persons who reported to consume alcohol. SUBJECTS/ METHODS: Ten European cohort studies from the Consortium on Health and Ageing: Network of Cohorts in Europe and the United States were included, comprising participant data of 62 458 adults who reported alcohol consumption at baseline. Diabetes incidence was based on documented and/or self-reported diagnosis during follow-up. Preference was defined when ⩾70% of total alcohol consumed was either beer, wine or spirits. Adjusted hazard ratios (HRs) were computed using Cox proportional hazard regression. Single-cohort HRs were pooled by random-effects meta-analysis. RESULTS: Beer, wine or spirit preference was not related to diabetes risk compared with having no preference. The pooled HRs were HR 1.06 (95% confidence interval (CI) 0.93, 1.20) for beer, HR 0.99 (95% CI 0.88, 1.11) for wine, and HR 1.19 (95% CI 0.97, 1.46) for spirit preference. Absolute wine intake, adjusted for total alcohol, was associated with a lower diabetes risk: pooled HR per 6 g/day was 0.96 (95% CI 0.93, 0.99). A spirit preference was related to a higher diabetes risk in those with a higher body mass index, in men and women separately, but not after excluding persons with prevalent diseases. CONCLUSIONS: This large individual-level meta-analysis among persons who reported alcohol consumption revealed that the preference for beer, wine, and spirits was similarly associated with diabetes incidence compared with having no preference.
Authors: William C Kerr; Yu Ye; Edwina Williams; Camillia K Lui; Thomas K Greenfield; E Anne Lown Journal: Alcohol Clin Exp Res Date: 2018-12-10 Impact factor: 3.455