Noël Christopher Barengo1, Diana Carolina Tamayo2, Teresa Tono2, Jaakko Tuomilehto3. 1. Observatorio de Diabetes de Colombia, Organización para la Excelencia de la Salud, Colombia; Department of Medical and Population Health Sciences Research, Herbert Wertheim College of Medicine, Florida International University, Miami, USA. Electronic address: noel.barengo@gmail.com. 2. Observatorio de Diabetes de Colombia, Organización para la Excelencia de la Salud, Colombia. 3. Chronic Disease Prevention Unit, National Institute for Health and Welfare, Helsinki, Finland; Department of Vascular Prevention, Danube-University Krems, Krems, Austria; Diabetes Research Group, King Abdulaziz University, Jeddah, Saudi Arabia; Dasman Diabetes Institute, Dasman, Kuwait.
Abstract
AIMS: (i) To develop a diabetes mellitus risk score model for the Colombian population (ColDRISC); and (ii) to evaluate the accuracy of the ColDRISC unknown Type 2 diabetes mellitus METHODS: Cross-sectional screening study of the 18-74 years-old population of a health-care insurance company (n=2060) in northern Colombia. Lifestyle habits and risk factors for diabetes mellitus were assessed by an interview using a questionnaire consisting of information regarding sociodemographic factors, history of diabetes mellitus, tobacco consumption, hypertension, nutritional and physical activity habits. Anthropometric measurements and an oral glucose tolerance test were taken. The sensitivity and the specificity, receiver-operating characteristic (ROC) curves, were calculated for the ColDRISC and FINDRISC. RESULTS: The area under the ROC curve for unknown Type 2 diabetes mellitus was 0.74 (95% CI: 0.70-0.79) for the ColDRISC and 0.73 for the FINDRISC (95% confidence intervals [CI] 0.69-0.78). Using the risk score cutoff value of 4 in the ColDRISC to detect Type 2 diabetes mellitus resulted in a sensitivity of 73% and specificity of 67%. CONCLUSIONS: The characteristics of the ColDRISC show that it can be used as a simple, safe, and inexpensive test to identify people at high risk for Type 2 diabetes mellitus in Colombia.
AIMS: (i) To develop a diabetes mellitus risk score model for the Colombian population (ColDRISC); and (ii) to evaluate the accuracy of the ColDRISC unknown Type 2 diabetes mellitus METHODS: Cross-sectional screening study of the 18-74 years-old population of a health-care insurance company (n=2060) in northern Colombia. Lifestyle habits and risk factors for diabetes mellitus were assessed by an interview using a questionnaire consisting of information regarding sociodemographic factors, history of diabetes mellitus, tobacco consumption, hypertension, nutritional and physical activity habits. Anthropometric measurements and an oral glucose tolerance test were taken. The sensitivity and the specificity, receiver-operating characteristic (ROC) curves, were calculated for the ColDRISC and FINDRISC. RESULTS: The area under the ROC curve for unknown Type 2 diabetes mellitus was 0.74 (95% CI: 0.70-0.79) for the ColDRISC and 0.73 for the FINDRISC (95% confidence intervals [CI] 0.69-0.78). Using the risk score cutoff value of 4 in the ColDRISC to detect Type 2 diabetes mellitus resulted in a sensitivity of 73% and specificity of 67%. CONCLUSIONS: The characteristics of the ColDRISC show that it can be used as a simple, safe, and inexpensive test to identify people at high risk for Type 2 diabetes mellitus in Colombia.
Authors: Noël C Barengo; Tania Acosta; Astrid Arrieta; Carlos Ricaurte; Dins Smits; Karen Florez; Jaakko O Tuomilehto Journal: Int J Environ Res Public Health Date: 2019-04-18 Impact factor: 3.390
Authors: Patricio López-Jaramillo; Ramfis E Nieto-Martínez; Gestne Aure-Fariñez; Carlos O Mendivil; Rodolfo A Lahsen; Ruy L Silva-Filho; Luiz A Andreotti; Mónica E Manrique; Miguel A Pasquel-Andrade; Ignacio Rangel; Maricela Vidrio; Rutila Castañeda; Manuela Restrepo; Miguel E Pinto Journal: Rev Panam Salud Publica Date: 2017-12-12
Authors: María J Peláez-Jaramillo; Natalia Valencia-Enciso; Allison A Cárdenas-Mojica; Paula V Gaete; Eitan A Scher-Nemirovsky; Luisa F Gómez-Arango; Daniel Colmenares-Araque; Camilo A Castro-López; Eddy Betancourt-Villamizar; Jesús Jaimes-Madrigal; Carlos A Alvarez; Mario A Jiménez-Mora; Pedro J Quiroga-Padilla; Danna K Puerto-Baracaldo; Carlos O Mendivil Journal: Diabetes Ther Date: 2019-11-05 Impact factor: 2.945