The impact of Anxiety, Sleep Quality, Social Media Use, and Socioeconomic Background on Academic Performance in Bangladeshi Public University Students: A Structural Equation Modeling Approach

Abstract

Background: Academic achievement is crucial for university students, but various factors affect their performance. This study explores the impact of anxiety, sleep quality, social media use, and socioeconomic status on academic performance (CGPA) among public university students in Bangladesh. Data and Methods: Data were collected from 225 students using a structured questionnaire that assessed anxiety (GAD-7), sleep quality (PSQI), social media use (SMUQ), and socioeconomic status (income, parental education). Structural Equation Modeling (SEM) was used to analyze the relationships between these variables. Outcomes: The results showed that socioeconomic status had a strong positive effect on academic performance ({beta} = 0.745, p < 0.001), while anxiety negatively impacted academic outcomes ({beta} = -0.675, p < 0.001). Sleep quality was positively related to academic performance ({beta} = 0.113, p < 0.05), but with a weaker effect. Social media usage is found to have a negative significant effect on academic performance ({beta} = -0.137, p < 0.001). Conclusion: These findings highlight the importance of controlling social media usage and anxiety to enhance academic performance among adult students. Sleep quality and socioeconomic background of the students are also found to be meaningfully associated with their educational progress.