A Multidimensional Statistical Analysis of Lifestyle Determinants Affecting Sleep Quality in Adults

Abstract

Sleep quality is a critical determinant of physical and mental health. However, the various lifestyle factors influencing sleep quality are not fully understood. This study investigates the relationships between sleep quality (measured on a scale of 1-10) and lifestyle metrics, including sleep duration, stress levels, body mass index (BMI), physical activity, and gender. Leveraging a secondary dataset comprising 374 participants aged 27 to 59, statistical analyses, including regression modeling and visualization techniques, were employed to elucidate these associations.

The results demonstrated that stress levels significantly impacted sleep quality, with higher stress consistently associated with lower sleep quality across both genders. Interestingly, BMI demonstrated an inverse relationship with sleep quality, while physical activity showed only a weak correlation, suggesting that its influence on sleep may be moderated by other factors such as stress. Gender-specific differences were also observed, with females reporting higher average sleep quality than males.

These findings highlight the importance of maintaining adequate sleep duration, stress management, and weight regulation in promoting better sleep quality. Despite limitations such as reliance on self-reported data and potential selection bias, this study offers evidence-based insights that could inform individual lifestyle adjustments and targeted public health interventions to improve sleep health.