Abstract
Background: Internet addiction is characterized by excessive or poorly controlled preoccupation, urges or behavior regarding computer use and internet access that lead to impairment or distress. Globally, it has been found that the occurrence rate of internet addiction among university students ranges from 0.8% to 47.7%. Despite, there are multiple challenges that related with internet addiction which remains under-recognized and largely ignored by stakeholders and also not well known especially in low income countries including Ethiopia. Therefore, this study was conducted aimed to assess the magnitude of the internet addiction and its associated factors among undergraduate students. Methods: Institutional based cross-sectional study was employed from May 1st to June 1st 2019. Multi-stage sampling technique was used to get a total of 846 undergraduate Students. Data was collected by using self-administered structured questionnaires of Young’s Internet Addiction Test. The collected data was coded and entered into EPIDATA 3.1 and analyzed by using SPSS version 22, Bivariate and multivariate logistic regression analysis was conducted to identify factors associated with internet addiction and statistically significant was considered at P-value <0.05. Results: A total of 846 study participants, giving a response rate were 761 (90%) and the prevalence of internet addiction was 19.4%. Multiple logistic regression model revealed that being male [AOR=1.69, 95% CI: (1.80, 6.41)], probable depression [AOR =3.61, 95% CI (2.40, 5.43)] and khat or caffeinated drinks [AOR=1.86, 95%CI: (1.21, 2.87)] were significantly associated with internet addiction.Conclusion: This study revealed that a high prevalence of internet addiction among Dilla university students and there were various factors associated with increased prevalence of problematic internet use. Therefore, students need to be educated about safe, valuable, and healthy practice of internet use and better to counsel on substance use and its consequences and also psychiatric evaluation (referring for mental health services) to overcome the anticipated increase in internet addiction