An Exploratory Analysis of Sleep Health and Lifestyle Factors

Authors: Kalavakunta Jeevan Kumar
DIN
IMJH-SVU-JAN-2025-2
Abstract

Sleep is a crucial determinant of overall health and well-being. This paper investigates the associations between sleep disorders and lifestyle indicators such as stress levels, physical activity, BMI, and occupation using a dataset of 374 individuals. We employ descriptive statistics, regression modeling, and unsupervised clustering to uncover patterns affecting sleep health. Our analysis reveals significant correlations between stress levels and sleep quality, while physical activity and occupation also appear to influence sleep outcomes. The study underscores the multifactorial nature of sleep health and highlights the importance of holistic lifestyle interventions.

Keywords
Sleep Health Analysis Lifestyle and Stress Factors Regression Modeling Unsupervised Clustering Public Health Data Analytics
Introduction

Sleep disorders are becoming increasingly prevalent across populations and are influenced by numerous lifestyle and physiological factors. Given the growing concern about sleep health in the modern age, this research aims to explore patterns and determinants of sleep disorders using real-world data. Understanding these relationships can help inform preventive measures and public health strategies.

Conclusion

This study reveals that stress, physical activity, and occupation significantly impact sleep health. While physical activity improves sleep outcomes, stress exerts a detrimental effect. Clustering indicates distinct lifestyle-based profiles associated with sleep disorders. These insights suggest that personalized interventions targeting stress management and promoting physical activity could improve sleep quality.

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