Research on the relationship between mother's physical and mental health and infant sleep status based on regression analysis

Abstract

This study explores the influence of maternal physical and mental indicators on infant sleep. A mathematical model is established by examining the data of 390 infants aged between 3 and 12 months, along with relevant information about their mothers. The data undergoes quality checks, including the identification of missing values and outliers using tools such as the "find" function in MATLAB. Categorical variables are encoded, and the time-based variable of sleep duration is transformed into a numerical format. Spearman's correlation coefficient is then employed to analyze the relationships between different variables, specifically focusing on the patterns between maternal physical and mental indicators and infant sleep duration. The reliability of the questionnaire is ensured through KMO testing, and a linear regression model is established to examine the relationship between mothers and infants. Finally, the linear regression equation is used to predict the behavioral characteristics of the last 20 infants. The findings of this study are of significant importance in understanding the impact of maternal factors on infant sleep and provide valuable insights for further research in related fields.