Analyzing Risk Factors that are Reasons for Heart Disease

This study analyses the various risk factors that contribute to heart disease, one of the leading causes of death worldwide. It focuses on identifying both modifiable factors—such as lifestyle habits, diet, smoking, and physical inactivity—and non-modifiable factors like age, gender, and family history. The research is based on data collected from 271 patients at Jayadeva Hospital, Bengaluru, and analysed using Power BI to interpret demographic and clinical patterns. Through statistical and descriptive analysis, the study evaluates how this risk factors influence the likelihood of developing heart disease. The findings highlight that age, blood pressure, chest pain type, ECG results, and maximum heart rate play a significant role in determining risk levels. The study emphasizes the importance of early detection, preventive healthcare, and lifestyle modification to reduce the incidence of heart disease and supports the need for targeted public health interventions and awareness programs

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Publication Details

Journal
International Journal of Advanced Research in Science Communication and Technology
Published
2025-11-10
DOI
https://doi.org/10.48175/ijarsct-29730
Primary Topic
Heart rate and cardiovascular health
Type
article
Field-Weighted Citation Impact
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article

Analyzing Risk Factors that are Reasons for Heart Disease

K. Manoj, MADHAVAN AMRUTHA, S Sundharam S
International Journal of Advanced Research in Science Communication and Technology
Heart rate and cardiovascular health
article

Analyzing Risk Factors that are Reasons for Heart Disease

K. Manoj, MADHAVAN AMRUTHA, S Sundharam S
article en

Abstract

This study analyses the various risk factors that contribute to heart disease, one of the leading causes of death worldwide. It focuses on identifying both modifiable factors—such as lifestyle habits, diet, smoking, and physical inactivity—and non-modifiable factors like age, gender, and family history. The research is based on data collected from 271 patients at Jayadeva Hospital, Bengaluru, and analysed using Power BI to interpret demographic and clinical patterns. Through statistical and descriptive analysis, the study evaluates how this risk factors influence the likelihood of developing heart disease. The findings highlight that age, blood pressure, chest pain type, ECG results, and maximum heart rate play a significant role in determining risk levels. The study emphasizes the importance of early detection, preventive healthcare, and lifestyle modification to reduce the incidence of heart disease and supports the need for targeted public health interventions and awareness programs

International Journal of Advanced Research in Science Communication and Technology
International Institute of Information Technology Bangalore (IN)
Openalex Percentile: Top 49%
Heart rate and cardiovascular health
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