Global Cardiovascular Risk Estimation and associated factors in the adult population. Senador Canedo, Goiás
DOI:
https://doi.org/10.1590/SciELOPreprints.3454Keywords:
Cardiovascular diseases, epidemiology, risk factors, chronic disease, epidemiological surveysAbstract
Background: Among chronic noncommunicable diseases (NCDs), Cardiovascular Diseases (CVD) are the main causes of premature mortality globally. The comprehensive care model focused on these diseases, presents as one of its components, the global cardiovascular risk screening (CVR).
Objectives: To estimate cvR stratified by sociodemographic variables, as well as factors associated with moderate/high risk, in the adult population living in the municipality of Senador Canedo, metropolitan region of the state of Goiás, Midwest region of Brazil.
Methods: The study was conducted through a household survey, through the application of a questionnaire with questions related to lifestyle and data collection such as weight, height, waist circumference, blood pressure, glycated hemoglobin and cholesterol dosage of 526 participants. Bivariate and multivariate analyses were performed using the Poisson regression model to analyze the factors associated with CVR according to the model proposed by the Framingham study.
Results: The prevalence of High CVR was 12.2% (95%CI:9.5 - 15.5) and moderate CVR was 13.3% (95%CI:10.5 -16.8). The factors associated with high/moderate CVR were individuals without incomplete education or elementary (RPaj: 6.2; 95% CI: 1.3 - 29.7), insufficiently active (RPaj: 3.1; 95% CI: 1.8-5.0), and self-assessment of regular health status (RPaj: 1.8; 95% CI: 1.1-3.2).
Conclusion: The present study allowed verifying the magnitude of CVR and the factors associated with high risk, consisting of an important instrument to guide the actions to prevent cardiovascular outcomes in the population attached to the family health strategy in the municipality of Senador Canedo.
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Copyright (c) 2022 Rogers Kazuo Rodrigues Yamamoto, Gabriela Silvério Bazílio, Rafael Alves Guimarães, Otaliba Libânio de Morais Neto

This work is licensed under a Creative Commons Attribution 4.0 International License.


