Prevalence of Internet Addiction and Associated Factors Among Students in an Ethiopian University
A Cross-Sectional Study
Bibliographic Data
| ID | 15414123 |
|---|---|
| Authors | Habtamu Muche (Bahir Dar University, corresponding author), Kerebih Asrese (0000-0001-9225-2923, Bahir Dar University) |
| Year | 2021 |
| Volume | 22 |
| Issue | 2 |
| Pages | 143-159 |
| Publication date | 2021-04-20 |
| Open Access | No |
| Type | ARTICLE |
| Venue | Journal of Social Work Practice in the Addictions (JOURNAL) |
| Journal identifiers | ISSN: 1533-256X • E-ISSN: 1533-2578 |
| Publisher | Taylor & Francis (PUBLISHER • GB) |
| DOI | 10.1080/1533256x.2021.1903681 |
| OpenAlex | W3155070345 |
| Language | EN |
| Citations received | 4 |
| References cited | 29 |
Internet addiction has become a behavioral problem globally, especially among youth. Whether this phenomenon is a concern has not been assessed in Ethiopia. This study investigated the prevalence of Internet addiction and risk factors for Internet addiction among undergraduate students at a university in Ethiopia. Data were collected from 812 undergraduate students recruited from 5 campuses using stratified random sampling techniques. Participants completed a pretested structured questionnaire. The results indicated that the prevalence of Internet addiction was 35.2%, with severe addiction for 1.8% and mild addiction for 33.4% of participants. Internet addiction rates were higher among female students compared to their male counterparts (38.3% vs. 33.4%). Senior students reported more addiction to Internet use, χ2 = 42.72, p< .001. Academic grade-point average (adjusted odds ratio [AOR] = .19, 95% CI [.13, .29]), parental supervision (AOR = .96, 95% CI [.92, .99]), self-esteem (AOR = .95, 95% CI [.91, .99]), and peer pressure (AOR = 1.16, 95% CI [1.10, 1.22]) were risk factors for Internet addiction. Our findings revealed that more than one third of the respondents had an addiction to the Internet. Increased grade-point average, higher self-esteem, and higher perceived parental supervision were protective against Internet addiction, whereas seniority among students and peer pressure were drivers toward Internet addiction. These findings highlight the importance of considering the identified factors in designing interventions to prevent and control Internet addiction among students
Addiction · Cross-sectional study · Logistic regression · Odds · Odds ratio · Peer pressure · Psychiatry · Psychological intervention · Stratified sampling · The Internet · Child Development and Digital Technology · Clinical Psychology · Impact of Technology on Adolescents · Medicine · Psychology · Social Media and Politics · Social Psychology · Internal Medicine
Theoretical Perspectives on Adolescent Internet Addiction
Association between digital addiction subtype and emotional intelligence among preservice teachers in Ghana
The causalities between learning burnout and internet addiction risk
School-Based Intervention for Preventing Problematic Internet Use in Adolescents
Society and the Adolescent Self-Image
Descriptive and injunctive norms in college drinking
Online activities, prevalence of Internet addiction and risk factors related to family and school among adolescents in China
Internet addiction among Chinese adolescents
Parental Monitoring
A ‘components’ model of addiction within a biopsychosocial framework
The Role of Parents in Problematic Internet Use among US Adolescents
Internet Addiction in Psychotherapy
Factors Associated with Internet Addiction among Adolescents
The Psychometric Properties of the Internet Addiction Test
Factors Predictive for Incidence and Remission of Internet Addiction in Young Adolescents
Prevalence of Pathological Internet Use among University Students and Correlations with Self-Esteem, the General Health Questionnaire (GHQ), and Disinhibition
The Compulsive Internet Use Scale (Cius)
Internet Use and Collegiate Academic Performance Decrements
Prevalence of pathological internet use among adolescents in E urope
Internet addiction in students
Internet Addiction on Campus
Who interacts on the Web
Epidemiology of Internet Behaviors and Addiction Among Adolescents in Six Asian Countries
The Role of Social Workers in the Treatment of Addictions
Problematic Internet use in Chinese adolescents and its relation to psychosomatic symptoms and life satisfaction
Personal characteristics related to the risk of adolescent internet addiction
Development of a Facebook Addiction Scale
Age differences in resistance to peer influence
The Multidimensional Scale of Perceived Social Support
"The Benefits of Facebook "Friends
Internet Addiction
| Citations per year | 1.33 |
|---|---|
| Citation span | 2023 - 2026 (4) |
| Highly cited | No |