Predictors of diabetes risk in urban and rural areas in Colombia
R. Tuesca Molina,
A.L. Ríos García,
T. Acosta Vergara,
V.A. Florez-Garcia,
V. Rodriguez Gutierrez,
K. Florez Lozano,
N.C. Barengo
Affiliations
R. Tuesca Molina
Department of Public Health, Universidad del Norte, Barranquilla, Colombia; Centro Universitario CIFE, Interdisciplinary Research Department, Cuernavaca, Mexico; Corresponding author.
A.L. Ríos García
Department of Public Health, Universidad del Norte, Barranquilla, Colombia
T. Acosta Vergara
Department of Public Health, Universidad del Norte, Barranquilla, Colombia
V.A. Florez-Garcia
Department of Public Health, Universidad del Norte, Barranquilla, Colombia; Joseph J. Zilber School of Public Health, University of Wisconsin, Milwaukee, 53211, United States
V. Rodriguez Gutierrez
Department of Public Health, Universidad del Norte, Barranquilla, Colombia
K. Florez Lozano
Department of Mathematics and Statistics, Universidad del Norte, Barranquilla, Colombia
N.C. Barengo
Department of Translational Medicine, Herbert Wertheim College of Medicine &Department of Health Policy and Management Robert Stempel College of Public Health and Social Work, Florida International University, Miami, FL 33178, United States; Department of Public Health, Faculty of Medicine, University of Helsinki, 00014, Finland
Background: Nutritional habits low in fruits and vegetables and sedentary lifestyle are associated with a higher risk of developing Type 2 Diabetes (T2D). However, it is important to assess differences between urban and rural areas. This study aimed to analyze the associations between the risk of developing T2D and setting in the Colombian north coast in 2017. Methods: This cross-sectional study included 1,005 subjects. Data was collected by interviewing self-identified members of an urban community and a rural-indigenous population. The interaction terms were evaluated as well as the confounders. Then, adjusted binary logistic regressions were used to estimate the odds ratio (OR) and 95% Confidence Intervals (CI). Results: subjects with a high risk of T2D are more likely to belong to the urban setting (OR = 1.908; 95%CI = 1.201–2.01) compared with those with lower T2D after adjusting for age, Body Mass Index (BMI), physical activity, history of high levels of glycemia, and diabetes in relatives. Conclusions: Urban communities are more likely to have T2D compared with rural-indigenous populations. These populations have differences from the cultural context, including personal, and lifestyle factors.
