Adaptation and Validation of School Burnout Inventory-Bangla and Its Predictive Factors Among Adolescents.

Abstract

School burnout (SB) among adolescents is a growing concern, yet there has been limited research in Bangladesh. This study aims to address this gap by validating the School Burnout Inventory (SBI) in Bangla and investigating the predictive factors of SB among high-school-going adolescents in Bangladesh. The study employed a cross-sectional design, recruiting participants from various high schools across urban and rural areas. Data were collected through self-reported questionnaires, which included information related to demographics, COVID-19, school burnout, daytime sleepiness, insomnia, and depression. The SBI-Bangla demonstrated high reliability and validity. The mean score of SB was 20.26 (±7.84). Significant differences in SB levels were observed across different age groups, grades, locations, mother's education levels, smoking status, and self-reported COVID-19 infection status. Multiple linear regression identified age (B = 0.647, p = .010), location (B = -1.043, p = .034), depression (B = 0.270, p < .001), daytime sleepiness (B = 0.208, p < .001), and insomnia (B = 0.662, p < .001) as significant predictors of SB. The final model explained 12.3% of the variance in SB scores. Enhancing sleep hygiene and addressing psychological issues may help reduce academic burnout. This study provides valuable baseline data that can inform future research and policy formulation aimed at reducing adolescent SB in Bangladesh.