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Background: The Canary Islands population experiences the highest type 2 diabetes (DM2) mortality in Spain. We studied lifestyle, unknown DM2 and treatment adherence in diabetics of these islands., Methods: Cross-sectional study of 6729 subjects from the general population (age 18-75) that participate in the cohort study "CDC of the Canary Islands". We found out their medical problems, diet, physical activity, medications, smoking, etc., Results: Prevalence of DM2 was 12% in men and 10% in women (p=0.005). The disease was unknown in 22% of men and 9% of women (p < 0.001). Considering unknown DM2, lack of treatment and lack of adherence, 48% of men and 28% of women did not follow a regular treatment. Diabetics' men prevalences of smoking (28%; CI(95%)=23-33) and sedentariness (62%; CI(95%)=56-68) were similar to non diabetic men, but obesity was more frequent in diabetics (45 versus 25%; p < 0.001). Diabetics women showed a higher obesity (54 versus 27%; p < 0.001) and a lower smoking prevalence (11 versus 22%; p < 0,001) than non diabetics, but they presented a similar sedentariness (75%; CI(95%)=70-79). In both sexes, energy intake was lower in diabetics (p < 0.001), but 93% of them (CI(95%)=91-95) showed a high consumption of calories from saturated fat and 69% (CI(95%)=65-72) presented metabolic syndrome., Conclusions: The Canarian diabetics are a sedentary and obese population that show a high consumption of saturated fats and high prevalence of metabolic syndrome. The proportion of them following regular treatment is low, specially in diabetic men that, in addition, still smoke.

Aim: To develop a straightforward risk score for type 2 diabetes (DM2) screening to use in clinical practice., Methods: A sample of 6237 adult inhabitants of the Canary Islands (Spain) was randomly divided into two subgroups: one yielded data used to develop the instrument, and the other yielded data used for validation testing. Performance of the instrument was compared in persons with clinically diagnosed DM2 and undiagnosed diabetes. The risk score, calculated by multivariate logistic regression, included the potential risk variables that yielded the highest odds ratio in the univariate analysis. A cut-off point for screening purposes was established at a 99% negative predictive value., Results: In men, variables included in the risk score were age, waist/height ratio, familial antecedents of diabetes, and systolic blood pressure (ROC curve 0.837, 95% CI: 0.803-0.871). In women, the risk score contained the same variables plus gestational diabetes history (ROC curve 0.874, 95% CI: 0.847-0901). Excluding systolic blood pressure from the score had no significant effect on the area under the curve. This instrument resulted valid only for people aged less than 55 years., Conclusions: This simple risk score for DM2 would be easy to apply in clinical practice.