Internet Addiction Predicted Insomnia Among Bangladeshi Undergraduate Students at the time of the COVID-19 Pandemic

Abstract

Objective: The prevalence of Internet addiction (IA) and insomnia among the student cohort was high. The COVID-19 pandemic adversely influenced both critical emerging public health concerns. Our study aimed to determine the prevalence of IA and insomnia and assess the relationship among the problems at the crucial time of the COVID-19 pandemic. Methods: A pilot survey was conducted among undergraduate students of an educational institute by inviting participants to use an electronically randomly selected e-mail address provided by the affiliated institute. Descriptive analysis was conducted to identify the student subgroups with a higher prevalence of insomnia; however, a multiple regression analysis was employed to identify the predictors of insomnia. Results: Insomnia and IA prevalence was 49.4% and 81.7%, respectively. Age group, gender, relationship status, family income, family type, living location, tobacco use, and exercise habits and physical illness history were associated with insomnia. However, regression analysis suggested that maintaining a relationship, being physically ill in the last year, and IA could predict insomnia independently. Conclusion: Institutional initiatives are recommended to reduce the high burden of insomnia and IA. A large sample size cross-sectional and longitudinal study is warranted to generalize these findings and determine the in-depth relationship between IA and insomnia.