Multifactor Analysis of Insomnia Influences: Predictive Effects of Patients' Lifestyle and Health Status in China

Introduction: This study aims to investigate the effects of different lifestyles, health conditions, and environmental factors on insomnia through a multifactor comprehensive analysis based on data from patients in China. Methods: The study consists of two parts: Study 1 used interviews to collect information on living habits, health conditions, and sleep environments from 97 individuals with poor sleep. Study 2 employed a questionnaire survey method to analyze insomnia-related data from 300 patients. Results: Using Spearman correlation analysis and binary logistic regression analysis, the study identifies significant correlations between insomnia and factors such as age, sleep environment, sleep habits, tea drinking, coffee drinking, night snacking, and watching videos before bed. An increase in age significantly correlates with a decrease in insomnia incidence (B = -0.34, p<0.01); A good sleep environment (B = 1.23, p<0.01) and regular sleep habits (B = 1.03, p<0.01) can significantly reduce the risk of insomnia; Conversely, drinking tea (B = -0.68, p<0.05), drinking coffee (B = -0.94, p<0.05), night snacking (B = -1.15, p<0.01), and watching videos before bed (B = 1.46, p<0.01) significantly heighten the risk of insomnia. Discussion: This study mainly investigates the impact of various factors like lifestyle habits, health conditions, and sleep environment on insomnia. Study 1, through interviews and subsequent analysis, identified 24 factors that might relate to sleep; Study 2, through surveys and analysis, found that age, sleep environment, sleep habits, tea drinking, coffee drinking, late-night snacking, and watching videos before bed formed a valid logistic regression prediction model for insomnia. Implications: This study supports the comprehensive effects of multiple factors on insomnia and underscores the importance of optimizing living habits and environment to enhance sleep quality. Future research may consider further investigating the effects of different factors on insomnia and exploring interventions and treatments for insomnia.