!Background: The prevalence and socioeconomic burden of type 2 diabetes (T2DM) and associated co-morbidities are rising worldwide. Aims: This guideline provides evidence-based recommendations for preventing T2DM. Methods: A European multidisciplinary consortium systematically reviewed the evidence on the effectiveness of screening and interventions for T2DM prevention using SIGN criteria. Results: Obesity and sedentary lifestyle are the main modifiable risk factors. Age and ethnicity are non-modifiable risk factors. Case-finding should follow a step-wise procedure using risk questionnaires and oral glucose tolerance testing. Persons with impaired glucose tolerance and/or fasting glucose are at high-risk and should be prioritized for intensive intervention. Interventions supporting lifestyle changes delay the onset of T2DM in high-risk adults (numberneeded-to-treat: 6.4 over 1.8-4.6 years). These should be supported by inter-sectoral strategies that create health promoting environments. Sustained body weight reduction by ≥ 5% lowers risk. Currently metformin, acarbose and orlistat can be considered as second-line prevention options. The population approach should use organized measures to raise awareness and change lifestyle with specific approaches for adolescents, minorities and disadvantaged people. Interventions promoting lifestyle changes are more effective if they target both diet and physical activity, mobilize social support, involve the planned use of established behaviour change techniques, and provide frequent contacts. Cost-effectiveness analysis should take a societal perspective. Conclusions: Prevention using lifestyle modifications in highrisk individuals is cost-effective and should be embedded in evaluated models of care. Effective prevention plans are predicated upon sustained government initiatives comprising advocacy, community support, fiscal and legislative changes, private sector engagement and continuous media communication.

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ObjectiveTo evaluate siMS score and siMS risk score, novel continuous metabolic syndrome scores as methods for quantification of metabolic status and risk.Materials and MethodsDeveloped siMS score was calculated using formula: siMS score = 2*Waist/Height + Gly/5.6 + Tg/1.7 + TAsystolic/130—HDL/1.02 or 1.28 (for male or female subjects, respectively). siMS risk score was calculated using formula: siMS risk score = siMS score * age/45 or 50 (for male or female subjects, respectively) * family history of cardio/cerebro-vascular events (event = 1.2, no event = 1). A sample of 528 obese and non-obese participants was used to validate siMS score and siMS risk score. Scores calculated as sum of z-scores (each component of metabolic syndrome regressed with age and gender) and sum of scores derived from principal component analysis (PCA) were used for evaluation of siMS score. Variants were made by replacing glucose with HOMA in calculations. Framingham score was used for evaluation of siMS risk score.ResultsCorrelation between siMS score with sum of z-scores and weighted sum of factors of PCA was high (r = 0.866 and r = 0.822, respectively). Correlation between siMS risk score and log transformed Framingham score was medium to high for age groups 18+,30+ and 35+ (0.835, 0.707 and 0.667, respectively).ConclusionssiMS score and siMS risk score showed high correlation with more complex scores. Demonstrated accuracy together with superior simplicity and the ability to evaluate and follow-up individual patients makes siMS and siMS risk scores very convenient for use in clinical practice and research as well.

Objective: To compare the nutritional habits among six Mediterranean countries and also with the various official recommendations and the 'Mediterranean diet' as originally described. Design: Cross-sectional study. Settings: Three centres in Greece, two in Italy and one in Algeria, Bulgaria, Egypt and Yugoslavia. Subjects: Randomly selected non-diabetic subjects from the general population, of age 35 -60, not on diet for at least 3 months before the study. Interventions: A dietary questionnaire validated against the 3-Day Diet Diary was used. Demographic data were collected and anthropometrical measurements done. Results: All results were age adjusted. Energy intake varied in men, from 1825 kcal=day in Italy -Rome to 3322 kcal=day in Bulgaria and in women, from 1561 kcal=day in Italy -Rome to 2550 kcal=day in Algeria. Protein contribution (%) to the energy intake varied little, ranging from 13.4% in Greece to 18.5% in Italy -Rome, while fat ranged from 25.3% in Egypt to 40.2% in Bulgaria and carbohydrates from 41.5% in Bulgaria to 58.6% in Egypt. Fibre intake, g=1000 kcal, ranged from 6.8 in Bulgaria to 13.3 in Egypt and the ratio of plant to animal fat from 1.2 in Bulgaria to 2.8 in Greece. The proportion of subjects following the WHO and the Diabetes and Nutrition Study Group (DNSG) of the EASD recommendations for carbohydrates, fat and protein ranged from 4.2% in Bulgaria to 75.7% in Egypt. Comparison with the Mediterranean diet, as defined in the seven Country Study, showed significant differences especially for fruit, 123 -377 vs 464