E Gil-Montalbán1, M D Martín-Ríos2, H Ortiz-Marrón3, B Zorrilla-Torras3, M Martínez-Cortés4, M D Esteban-Vasallo3, A López-de-Andrés5. 1. Subdirección de Promoción de la Salud y Prevención, Consejería Sanidad, Comunidad de Madrid, Madrid, España. Electronic address: elisa.gil@salud.madrid.org. 2. Servicio de Medicina Preventiva, Hospital Universitario Rey Juan Carlos, Móstoles, Madrid, España; Departamento Medicina y Cirugía, Psicología, Medicina Preventiva y Salud Pública e Inmunología Microbiología Médicas. Universidad Rey Juan Carlos, Alcorcón, Madrid, España. 3. Subdirección de Promoción de la Salud y Prevención, Consejería Sanidad, Comunidad de Madrid, Madrid, España. 4. Servicio de Prevención y Promoción de la Salud, Instituto de Salud Pública, Ayuntamiento de Madrid, Madrid, España. 5. Departamento Medicina y Cirugía, Psicología, Medicina Preventiva y Salud Pública e Inmunología Microbiología Médicas. Universidad Rey Juan Carlos, Alcorcón, Madrid, España.
Abstract
OBJECTIVES: Determine the incidence and risk factors of type2 diabetes in the adult population of Madrid (Spain) and compare the predictive models of type2 diabetes based on the prediabetes criteria of the American Diabetes Association (ADA) and the World Health Organisation (WHO). MATERIAL AND METHODS: A prospective study was conducted on a population cohort composed of 2048 individuals between 30 and 74years of age with no diabetes. At the start of the study, an epidemiological survey was performed, and baseline glycaemia, HbA1c, body mass index and waist circumference were measured. A follow-up of 6.4years was conducted. New cases of type2 diabetes were identified using the electronic primary care medical history. RESULTS: The incidence of type2 diabetes was 3.5 cases/1000 person-years. In the multivariate analysis, the variables that were associated with the onset of type2 diabetes were age, family history of diabetes, baseline glycaemia (100-125mg/dL), HbA1c (5.7-6.4%) and waist circumference (≥94cm for men and ≥80cm for women). Of these, the most significantly associated variables were baseline glycaemia and HbA1c. The ADA and WHO criteria for defining prediabetes had the same predictive capacity. CONCLUSION: The incidence of type2 diabetes measured in Madrid was lower than that found in other population studies, with the glucometabolic state the main factor associated with progression to type2 diabetes. There were no differences between the prediabetes defined by the ADA and the WHO for predicting the onset of the disease.
OBJECTIVES: Determine the incidence and risk factors of type2 diabetes in the adult population of Madrid (Spain) and compare the predictive models of type2 diabetes based on the prediabetes criteria of the American Diabetes Association (ADA) and the World Health Organisation (WHO). MATERIAL AND METHODS: A prospective study was conducted on a population cohort composed of 2048 individuals between 30 and 74years of age with no diabetes. At the start of the study, an epidemiological survey was performed, and baseline glycaemia, HbA1c, body mass index and waist circumference were measured. A follow-up of 6.4years was conducted. New cases of type2 diabetes were identified using the electronic primary care medical history. RESULTS: The incidence of type2 diabetes was 3.5 cases/1000 person-years. In the multivariate analysis, the variables that were associated with the onset of type2 diabetes were age, family history of diabetes, baseline glycaemia (100-125mg/dL), HbA1c (5.7-6.4%) and waist circumference (≥94cm for men and ≥80cm for women). Of these, the most significantly associated variables were baseline glycaemia and HbA1c. The ADA and WHO criteria for defining prediabetes had the same predictive capacity. CONCLUSION: The incidence of type2 diabetes measured in Madrid was lower than that found in other population studies, with the glucometabolic state the main factor associated with progression to type2 diabetes. There were no differences between the prediabetes defined by the ADA and the WHO for predicting the onset of the disease.
Authors: Segundo Nicolas Seclen; Moises Ernesto Rosas; Arturo Jaime Arias; Cecilia Alexandra Medina Journal: BMJ Open Diabetes Res Care Date: 2017-07-19
Authors: Luis Alberto Vazquez; Eva Calvo-Bonacho; Jesús Reviriego; Teresa García-Margallo; Elena Caveda; Albert Goday Journal: Diabetes Ther Date: 2018-11-14 Impact factor: 2.945