Bernardo Costa

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INTRODUCTION To develop and test a diabetes risk score to predict incident diabetes in an elderly Spanish Mediterranean population at high cardiovascular risk. MATERIALS AND METHODS A diabetes risk score was derived from a subset of 1381 nondiabetic individuals from three centres of the PREDIMED study (derivation sample). Multivariate Cox regression model(More)
BACKGROUND To investigate differences in the performance of the Finnish Diabetes Risk Score (FINDRISC) as a screening tool for glucose abnormalities after shifting from glucose-based diagnostic criteria to the proposed new hemoglobin (Hb)A1c-based criteria. METHODS A cross-sectional primary-care study was conducted as the first part of an active real-life(More)
To estimate the prevalence of metabolic syndrome (MS) in a population receiving attention in primary care centers (PCC) we selected a random cohort of ostensibly normal subjects from the registers of 5 basic-health area (BHA) PCC. Diagnosis of MS was with the WHO, NCEP and IDF criteria. Variables recorded were: socio-demographic data, CVD risk factors(More)
BACKGROUND Type 2 diabetes is an important preventable disease and a growing public health problem. Based on information provided by clinical trials, we know that Type 2 diabetes can be prevented or delayed by lifestyle intervention. In view of translating the findings of diabetes prevention research into real-life it is necessary to carry out(More)
Compelling evidence has been accumulated to support the effectiveness of intensive lifestyle intervention in delaying progression to Type 2 diabetes even in people identified as being at high risk determined by the Finnish diabetes risk score. The DE-PLAN-CAT project (diabetes in Europe-prevention using lifestyle, physical activity and nutritional(More)
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