Authors : Afolabi Nasimot Omowunmi; Ayinde Yusuf Olarewaju

Volume/Issue : Volume 11 - 2026, Issue 6 - June

Google Scholar : https://tinyurl.com/rx7d2rvw

Scribd : https://tinyurl.com/4xwc7xa9

DOI : https://doi.org/10.38124/ijisrt/26jun1432

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.

Abstract : This study “A Statistical Analysis Of Risk Factors Associated With Coronary Heart Disease” statistically examined demographic, lifestyle, and clinical determinants of ten-year CHD risk using secondary data from 200 individuals obtained from the Kaggle cardiovascular dataset. A quantitative, cross-sectional design was adopted, and analysis was conducted using descriptive statistics, correlation analysis, and multivariate logistic regression. Results showed that the sample consisted mostly of middle-aged adults, with notable prevalence of hypertension, obesity, elevated cholesterol, and smoking. Correlation analysis revealed that age, total cholesterol, blood pressure, BMI, and hypertension were positively associated with CHD risk. Logistic regression analysis demonstrated that total cholesterol was the only statistically significant independent predictor of tenyear CHD risk (p = 0.01), while other factors including smoking status, blood pressure, diabetes, and BMI did not attain statistical significance after adjustment. The model exhibited good fit (Pearson Chi-square p = 0.3868) and strong predictive accuracy (AUC = 0.763). The study concludes that elevated cholesterol remains the most critical predictor of long-term CHD risk in this population. It recommends prioritizing lipid screening, early risk assessment among middle-aged adults, and strengthened public health interventions targeting modifiable cardiovascular risk factors. Further research with larger and more diverse samples is advised to improve generalizability and refine CHD predictive models.

Keywords : Coronary Heart Disease, Risk Factors, Logistic Regression, Cholesterol, Cardiovascular Epidemiology.

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