Influential Factors of Blood Pressure

Overview

This project conducts a comprehensive statistical analysis of factors influencing blood pressure using data from the US National Health and Nutrition Examination Survey (NHANES).

Objectives

• Identify key factors that significantly affect blood pressure
• Build predictive models for blood pressure estimation
• Provide insights for healthcare professionals and researchers

Methodology

Data Source

The analysis uses NHANES data, which provides extensive information on:

• Demographics
• Health conditions
• Lifestyle factors
• Nutrition patterns
• Physical measurements

Statistical Techniques

• Linear Regression: Modeling relationships between variables and blood pressure
• LASSO Regularization: Feature selection to identify most important factors
• Cross-Validation: Ensuring model robustness and preventing overfitting
• Statistical Modeling: Building interpretable and accurate predictive models

Key Findings

The analysis reveals significant relationships between various health and lifestyle factors and blood pressure levels, providing valuable insights for:

• Clinical decision-making
• Public health interventions
• Personal health management

Tools & Technologies

• R: Primary language for statistical analysis
• Statistical Libraries: Comprehensive statistical modeling packages
• Data Visualization: Clear presentation of findings

Impact

This work contributes to better understanding of blood pressure determinants, supporting evidence-based approaches to cardiovascular health management.