Aplicação da regressão logística para análise de fatores associados à hipertensão arterial na população adulta de Cuiabá/MT, 2023

Abstract

This undergraduate thesis aimed to identify the factors associated with hypertension in Cuiabá, MT, using data from Vigitel 2023. Logistic regression was applied as the statistical analysis technique to model the presence of hypertension based on demographic, behavioral, socioeconomic, and health condition variables, with particular attention to risk factors such as obesity, age group, self-assessment of health status, and diabetes history. The methodology proved effective in understanding risk factors, providing data and insights for public health interventions and the formulation of prevention strategies. The results showed that factors such as advanced age, obesity, negative health status assessment, the presence of diabetes, and marital status significantly increased the likelihood of developing hypertension. These findings underscore the importance of public health policies that promote population monitoring and awareness of the risks associated with hypertension, contributing to the development of targeted and effective interventions to reduce this chronic condition.