Incidence of Metabolic Syndrome in Older Adults in Sucre (Colombia): Socio-Demographic, Physiological Variables and Lifestyles
Andrea Oviedo Pérez1, Graciela Vimos Ibáñez2 and Melba Vertel Morinson3*
1Research Group Statistics and Mathematical Modeling Applied to Educational Quality, Biology Program, University of Sucre, Colombia
2Doctor, Master’s in Occupational Health, Colombia
3Teacher-Researcher, Master in Statistical Sciences, University of Sucre, Sincelejo, Sucre, Colombia
*Corresponding Author: Melba Vertel Morinson, Teacher-Researcher, Master in Statistical Sciences, University of Sucre, Sincelejo, Sucre, Colombia.
August 02, 2022; Published: September 21, 2022
Metabolic syndrome (MS) is an alteration of metabolic origin, product of the simultaneous manifestation of cardiovascular diseases (CVD) and abdominal obesity, characterized by increasing cardiovascular risk and diabetes. Therefore, we sought to determine the incidence of MS in a sample of adults over 60-63 years of age in the department of Sucre. Initially, bivariate analysis was performed, using chi-square test (Independence Test) for each of the factors (socio-demographic, physiological and lifestyle). Data Visualization comprised a mapping with principal component analysis (PCA) weighted - Multiple Correspondence Analysis (MCA) for qualitative variables and K-media Clustering to identify groups expressing common relationships. As well as Logistic Regression to determine the presence of metabolic syndrome with respect to the study variables. Physiological variables had greater significance in the presence of MS; logistic regression indicated that the variables were not significant for developing MS. The PCA showed that a disordered lifestyle alters the metabolism, and therefore develops CVD and Chronic non-communicable disease (CNCD) that lead to the appearance of MS, likewise a low academic training predisposes to have an unhealthy diet, rich in flours and fats that lead to the increase in Body Mass Index (BMI).
Keywords: Metabolic Syndrome; Cardiovascular Diseases; Obesity; Descriptive Statistics
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