Prediction of Different Risk Factors in Relation to Hyperlipidemia Using Framingham Risk Score and Cholesterol Risk...

Area of Science:

• Cardiology
• Public Health
• Epidemiology

Background:

• Cardiovascular diseases (CVDs) are a leading cause of global mortality, accounting for 31% of all deaths.
• Understanding the demographic profile and risk factors associated with CVD is crucial for public health initiatives.

Purpose of the Study:

• To assess the demographic profile of diabetic and nondiabetic patients with cardiovascular disease.
• To predict risk factors for hyperlipidemia using the Framingham Risk Scale (FRS) and Cholesterol Risk Calculator (CRC).
• To determine the frequency of hypercholesterolemia in relation to CVD.

Main Methods:

• A cross-sectional study was conducted in Punjab, India.
• Data from 331 patients were analyzed.
• The Framingham Risk Scale (FRS) and Cholesterol Risk Calculator (CRC) were used to assess risk.

Main Results:

• The mean age of patients was 51.23 years, with 52.6% being female.
• Higher Framingham Risk Scores were significantly associated with gender, lower calorie intake, low physical activity, and sedentary employment.
• Lipid profiles, particularly cholesterol levels, showed a significant positive correlation with the Framingham Risk Score.

Conclusions:

• High Framingham and Cholesterol Risk Scores are linked to an increased risk of diabetes and cardiovascular disease.
• Risk assessment tools like FRS are valuable for identifying individuals at higher risk due to lifestyle factors.
• Healthcare professionals should continuously assess CVD risk factors and barriers to preventive behaviors.