Quantitative Analysis of the Relationship Between Diabetes and Various Health Indicators

Abstract

Diabetes is a chronic, widespread disease that affects millions globally. This disease impairs the body’s ability to manage blood glucose levels due to inadequate insulin production or reduced insulin efficiency, resulting in hyperglycemia, which causes severe health risks and economic burdens The prevalence and death rate is increasing, especially in low- and middle-income countries. This study analyzes the 2015 Behavioral Risk Factor Surveillance System (BRFSS) dataset, which contains a total of 253,680 survey responses, with 21 variables. In this study, multiple logistic regression, Pearson correlation, and chi-square tests were applied to find the independence and association of different health indicate factors like high blood pressure, high cholesterol, body mass index, smoking, stroke, and heart disease to diabetes risk. The results indicate that diabetes is closely related to health indicators such as High BP, HighChol, and BMI. Smoking alone has a minor effect on the diabetes. The income level has a negative association with diabetes; thus, one could have a higher income to protect against the disease. People with stroke are twice as likely to have diabetes as people without diabetes, which is likely because diabetes damages blood vessels. This study analyzed the various risk factors associated with diabetes, which can greatly help prevent and diagnose diabetes. It also highlights the need for continued research into how lifestyle, genetic, and socioeconomic factors interact to influence diabetes risk and contribute to diabetes prevention and health improvement.