Yosef Zenebe1, Kunuya Kunno2, Meseret Mekonnen2, Ajebush Bewuket2, Mengesha Birkie2, Mogesie Necho2, Muhammed Seid2, Million Tsegaw2, Baye Akele3. 1. Department of Psychiatry, College of Medicine and Health Sciences, Wollo University, Dessie, Ethiopia. yosef.zenebe79@gmail.com. 2. Department of Psychiatry, College of Medicine and Health Sciences, Wollo University, Dessie, Ethiopia. 3. Department of Pharmacy, College of Medicine and Health Sciences, Wollo University, Dessie, Ethiopia.
Abstract
BACKGROUND: Internet addiction is a common problem in university students and negatively affects cognitive functioning, leads to poor academic performance and engagement in hazardous activities, and may lead to anxiety and stress. Behavioral addictions operate on a modified principle of the classic addiction model. The problem is not well investigated in Ethiopia. So the present study aimed to assess the prevalence of internet addiction and associated factors among university students in Ethiopia. OBJECTIVES: Main objective of this study was to assess the prevalence and associated factors of internet addiction among University Students in Ethiopia. METHODS: A community-based cross-sectional study was conducted among Wollo University students from April 10 to May 10, 2019. A total of 603 students were participated in the study using a structured questionnaire. A multistage cluster sampling technique was used to recruit study participants. A binary logistic regression method was used to explore associated factors for internet addiction and variables with a p value < 0.25 in the bivariate analysis were fitted to the multi-variable logistic regression analysis. The strength of association between internet addiction and associated factors was assessed with odds ratio, 95% CI and p value < 0.05 in the final model was considered significant. RESULTS: The prevalence of internet addiction (IA) among the current internet users was 85% (n = 466). Spending more time on the internet (adjusted odds ratio (AOR) = 10.13, 95% CI 1.33-77.00)), having mental distress (AOR = 2.69, 95% CI 1.02-7.06), playing online games (AOR = 2.40, 95% CI 1.38-4.18), current khat chewing (AOR = 3.34, 95% CI 1.14-9.83) and current alcohol use (AOR = 2.32, 95% CI 1.09-4.92) were associated with internet addiction. CONCLUSIONS: The current study documents a high prevalence of internet addiction among Wollo University students. Factors associated with internet addiction were spending more time, having mental distress, playing online games, current khat chewing, and current alcohol use. As internet addiction becomes an evident public health problem, carrying out public awareness campaigns may be a fruitful strategy to decrease its prevalence and effect. Besides to this, a collaborative work among stakeholders is important to develop other trendy, adaptive, and sustainable countermeasures.
BACKGROUND: Internet addiction is a common problem in university students and negatively affects cognitive functioning, leads to poor academic performance and engagement in hazardous activities, and may lead to anxiety and stress. Behavioral addictions operate on a modified principle of the classic addiction model. The problem is not well investigated in Ethiopia. So the present study aimed to assess the prevalence of internet addiction and associated factors among university students in Ethiopia. OBJECTIVES: Main objective of this study was to assess the prevalence and associated factors of internet addiction among University Students in Ethiopia. METHODS: A community-based cross-sectional study was conducted among Wollo University students from April 10 to May 10, 2019. A total of 603 students were participated in the study using a structured questionnaire. A multistage cluster sampling technique was used to recruit study participants. A binary logistic regression method was used to explore associated factors for internet addiction and variables with a p value < 0.25 in the bivariate analysis were fitted to the multi-variable logistic regression analysis. The strength of association between internet addiction and associated factors was assessed with odds ratio, 95% CI and p value < 0.05 in the final model was considered significant. RESULTS: The prevalence of internet addiction (IA) among the current internet users was 85% (n = 466). Spending more time on the internet (adjusted odds ratio (AOR) = 10.13, 95% CI 1.33-77.00)), having mental distress (AOR = 2.69, 95% CI 1.02-7.06), playing online games (AOR = 2.40, 95% CI 1.38-4.18), current khat chewing (AOR = 3.34, 95% CI 1.14-9.83) and current alcohol use (AOR = 2.32, 95% CI 1.09-4.92) were associated with internet addiction. CONCLUSIONS: The current study documents a high prevalence of internet addiction among Wollo University students. Factors associated with internet addiction were spending more time, having mental distress, playing online games, current khat chewing, and current alcohol use. As internet addiction becomes an evident public health problem, carrying out public awareness campaigns may be a fruitful strategy to decrease its prevalence and effect. Besides to this, a collaborative work among stakeholders is important to develop other trendy, adaptive, and sustainable countermeasures.
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