Prevalencia de factores asociados a la enfermedad cardiovascular y su relación con el ausentismo laboral de los trabajadores en una entidad oficial en Bogotá-Colombia, 2017

Abstract

Introduction: Cardiovascular diseases (CVD) are the leading cause of death in the world, this phenomenon is attributed to the changes that have occurred in lifestyles (sedentary lifestyle, food intake with high caloric value, consumption of alcohol and tobacco ) resulting in an increase in the frequency of obesity, dyslipidemias and arterial hypertension, thus constituting the risk factors that directly affect the prevalence of cardiovascular disease and death. This represents an important burden for the health of the working population in the world, contributing up to 50% of all causes of death and 25% of work disability. Objective: To determine the factors associated with cardiovascular disease and its relationship with the labor absenteeism of workers in an official agency in the city of Bogotá in the year 2017. Materials and Methods: A descriptive study of the cross section using the registers was carried out of 214 workers. Sociodemographic variables, cardiovascular and occupational clinics, statistical descriptive statistical analysis, association between independent variables and outcome were included, and a logistic regression model was proposed, having as a dependent variable labor absenteeism. Results: The prevalence in smoking was 13.1%, in alcohol consumption was 35.1% and in sedentary life of 39.7%, workers with overweight or obesity were 116 (54.2%) of the population studied, total cholesterol was high in 94 (43.9%) of the workers received treatment for hypertension 64 (29.9%), treatment for diabetes 10 (4.7%) and for dyslipidemias 46 (21.5%) of the workers. Conclusion: The prevalences found for the risk factors associated with cardiovascular disease are similar to other studies performed in the working population, in the logistic regression model that was found that the variables married marital status, obesity, treatment for hypertension, stage of systolic blood pressure and time of services behave as predictive variables of work absenteeism.