Alcohol consumption and mortality in individuals with diabetes mellitus

Studies have suggested that moderate alcohol consumption is associated with a reduced risk of CVD and premature mortality in individuals with diabetes mellitus. However, history of alcohol consumption has hardly been taken into account. We investigated the association between current alcohol consumption and mortality in men and women with diabetes mellitus accounting for past alcohol consumption. Within the European Prospective Investigation into Cancer and Nutrition (EPIC), a cohort was defined of 4797 participants with a confirmed diagnosis of diabetes mellitus. Men and women were assigned to categories of baseline and past alcohol consumption. Hazard ratios (HR) and 95% CI for total mortality were estimated with multivariable Cox regression models, using light alcohol consumption (>0-6 g/d) as the reference category. Compared with light alcohol consumption, no relationship was observed between consumption of 6 g/d or more and total mortality. HR for >6.12 g/d was 0.89(95% CI 0.61, 1.30) in men and 0.86(95% CI 0.46, 1.60) in women. Adjustment for past alcohol consumption did not change the estimates substantially. In individuals who at baseline reported abstaining from alcohol, mortality rates were increased relative to light consumers: HR was 1.52 (95% CI 0.99, 2.35) in men and 1.81 (95% CI 1.04, 3.17) in women. The present study in diabetic individuals showed no association between current alcohol consumption >6 g/d and mortality risk compared with light consumption. The increased mortality risk among non-consumers appeared to be affected by their past alcohol consumption rather than their current abstinence

Association of a diabetes risk score with risk of myocardial infarction, stroke, specific types of cancer, and mortality: a prospective study in the European Prospective Investigation into Cancer and Nutrition (EPIC)-Potsdam cohort

To evaluate the impact of a recently developed, non-invasive risk score predictive for type 2 diabetes on the incidence and mortality of cardiovascular diseases and specific types of cancer. A total of 23,455 participants from the population-based European Prospective Investigation into Cancer and Nutrition (EPIC)-Potsdam study aged 35-65 years and free of diabetes and major chronic diseases at baseline (1994-1998) were followed through 2006 for incident myocardial infarction, stroke, types of cancer, and death. Risk score points were assigned to each participant based on age, waist circumference, height, physical activity, history of hypertension, smoking, alcohol consumption, and intake of red meat, whole-grain bread, and coffee. Hazard ratios (HRs) were estimated by Cox regression models. In age- and sex-adjusted analyses, participants with a high risk score (5-year probability to develop diabetes > or = 10%) had significantly higher risks of myocardial infarction (HR 2.7, 95% CI 1.5-5.0) and stroke (1.9, 1.0-3.6), but not of colon, breast or prostate cancer incidence, than those with a low score (5-year probability < 1%). In addition, participants with a high risk score had considerably higher risks of cardiovascular (HR 4.6, 95% CI 2.3-9.4), cancer (1.7, 1.1-2.7), and total mortality (2.4, 1.8-3.4), the latter being equivalent to a difference in life expectancy of 13 years. These data indicate that a risk score predictive for type 2 diabetes is also related to elevated risks of myocardial infarction, stroke, and premature death in apparently healthy individuals and emphasize the need for early intervention in high-risk individuals

Comparison of two exploratory dietary patterns in association with the metabolic syndrome in a Northern German population

Diet is related to many chronic disease conditions such as the metabolic syndrome (MetS). We set out to compare behaviour-related with disease-related patterns and their association with the MetS in a German cross-sectional study. A total of 905 participants of a Northern German cohort (aged 25-82 years) completed a FFQ, underwent anthropometric assessments and provided a blood sample. Dietary patterns were derived by principal component analysis (PCA) and reduced-rank regression (RRR) from forty-two food groups. Components of the MetS were used as response variables for the RRR analysis. Simplified patterns comprising ten food groups were generated. Logistic regression analysis was performed to evaluate the likelihood of having the MetS across the quartiles of simplified pattern scores. We identified two similar dietary patterns derived by PCA and RRR characterised by high intakes of potatoes, various vegetables, red and processed meat, fats, sauce and bouillon. Comparing simplified patterns, an increased RRR pattern score was associated with a higher OR (218, 95% CI 125, 381) of having the MetS than an increased PCA pattern score (OR 192, 95% CI 121, 303). Comparing concordant food groups by both dietary pattern methods, a diet high in legumes, beef, processed meat and bouillon was also positively associated with the prevalence of the MetS after adjustment for potential confounders (OR 171, 95% CI 104, 279). We identified a behaviour-related pattern that was positively associated with the MetS. The application of both dietary pattern methods may be advantageous to obtain information for designing and realising dietary guidelines. Prospective studies are needed to confirm the results