M10 - Statistical Study Prioritizes Key Risks for Heart Disease
Monday, February 24, 2020
10:45 AM – 11:45 AM
Location: Courtroom KL
Presentation Description: Cardiovascular Disease (CVD) is one the most prevalent diseases globally, and the leading cause of death in the United States with over 600,000 deaths annually. Coronary heart disease (CHD) is the most common type of CVD, resulting in 60% of the CVD mortalities annually. The goal of this project was to statistically determine which risk factors are most significantly associated with CHD. Data on the incidence of heart disease risk factors was collected from three sources - US Center for Disease Control (CDC), US Environmental Protection Agency (EPA), and 23andMe, a leading genomics company. Data was first analyzed by performing correlation study to determine correlation between risk factors, and heart disease. In addition, multiple linear regression analysis using Bonferroni Correction was performed to identify which risk factors were directly associated with increase in heart disease rates. The analysis identified the three most significant factors that affect the rates of heart disease.
Understand the use of statistical techniques to identify the most significant risks for coronary heart disease
Understand and visually observe the combined effect of multiple risk factors in accelerating coronary heart disease
Make healthy lifestyle choices as a result of findings from this study to improve personal health and prevent the onset of coronary heart disease