FACTORS ASSOCIATED WITH HIGH RISK FOR CORONARY EVENT IN THE BRAZILIAN ADULT POPULATION ACCORDING TO THE I BRAZILIAN DIRECTIVE OF CARDIOVASCULAR PREVENTION, BASED ON DATA FROM THE NATIONAL HEALTH SURVEY, 2013.
Demography; Health Transition; Cardiovascular Diseases; Risk Factors
Acute coronary events, whom stand out the Acute Myocardial Infarction (AMI), the Untable Angina (UA), Stroke and Descompensated Heart Failure (DCI) represent the main causes of mortality in the group Of Circulatory System Diseases (CAD). Since 1980s, this group of causes constitutes the main cause of mortality in Brazil. The increase of morbimortality by this group of causes is related to the intrinsic factors of the demographic, epidemiological and nutritional transition in wich stand out the population aging, urbanization, industrialization, insertion of women into the labor market, changes in the pattern of food, high prevalence of smoking and sedentary lifestyle, together with the social inequalities, differences in access to goods, services of heath and low educational level. This work aims to analyze the association between high risk of coronary events and socio-demographic variables, health self-assessment, access to health services and lifestyle for the Brazilian adult population based on the National Health Survey, 2013. Will be performed a cross-sectional, analytical-quantitative methold study based on data from the National Health Survey (PNS), 2013. The sample will be composedof individuals adults as from 18 years. Variables will be collected in order to characterize the high risk for coronary events in conjunction with the variables sociodemográficas, lifestyle, physical activity, perception of health status. The individuals who answered yes to at least one of these variables will be classified as high risk: Presence of diabetes, acute myocardial infarction, stroke, angina, chronic renal failure, presence of saphenous vein surgery, stenting or angioplasty. The variables will receive the statistical analysis by the statistical program R version 3.2.1. By means of the library survey, considering the sample weights and drawing effect for complex sample. Statistical analysis of data will be performed in four steps: a) stratification risk for coronary event; b) descriptive analysis in which the prevalence coronary events will be calculatedaccording to the risk for coronary events (high risk/not high risk) according to sociodemographic variables, habits and lifestyle, access to health services, geographical region and their respective confidence intervals (95%); c) analysis of the gross effects will be performed through Poisson regression with robust variance; d) variables that remain significant at the 20% level in the gross effect analysis will be considered to be part of the final model, in which the multivariate analysis will be performed, in this Phase will be considered significant, values of p≤0.05.