Research on the Influence Factors of Heart Disease

Abstract

Heart disease accounts for almost 30% of all deaths worldwide and about 18 million deaths each year, making it the primary cause of death and disability worldwide. Recent research highlights variations in incidence rates and causative factors among different populations and regions, underscoring the need for detailed studies to develop effective prevention and treatment strategies. This article explores the various factors that influence heart disease. Although many studies have been done to show that the incidence of heart disease is related to dietary habits, genes, and other factors, there are still many details that should be investigated. This paper focuses on determining which factors have effects on the incidence of heart disease, such as age, gender, and some diseases. Binary logistic regression is used to statistically analyse the data and found that certain factors, such as gender, chest pain, thallium stress, exercise-induced ST depression and major fluoroscopy vessels were associated with the development of heart disease. The use of binary logistic regression modelling enabled the study to quantify the impact of these factors and provided a useful tool for predicting heart disease risk. The study’s findings serve as a valuable resource for the formulation of heart disease prevention and treatment plans.