Online activities as risk factors for internet addiction among students in Bahir Dar University, North West Ethiopia: Hierarchical regression model

Abstract Introduction: Internet addiction among the youth has become a public health concern. It leads to impairments in several aspects of life. Previous studies identified individual and environmental risk factors for internet addiction. The effect of online activities on youth internet use behavior is not well investigated. This study assessed the prevalence of internet addiction and determined the roles of online activities for internet addiction among students in Bahir Dar University. Methods: Data were collected from 812 randomly selected undergraduate regular program students recruited from 10 departments. Participants completed a pre-tested structured questionnaire. Results: The results indicated that 35.2% of students were classified as being addicted to the internet. The four most important online activities students engaged on the internet are social networking (75.5%), entertainments (73.6%), academic works (72.5%), and online game (60.8%). Including online activity variables improved the explanation of internet addicted behavior over the individual and environmental attributes. Online activities explained 48.4% of the variance in internet addiction. Students who did not use the internet for social networking (AOR = .11; 95% CI: .06 - .21) and online game (AOR = .31; 95% CI: .21 - .46) were less likely to be internet addicted. Conclusions: Our findings revealed that more than one third of the participants were addicted internet users. Online activities better predict students’ addicted internet use behavior than individual and environmental attributes. Thus, university authorities and other concerned bodies need to be aware of the prevalence of IA and introduce regulatory mechanisms to limit the usage of potentially addictive online internet applications and promote responsible internet use behavior.