English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Tools annual

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Presents the access of premium content as premium feature

Premium Content

Global: Zendy Plus annual

Global: Zendy Free Plan

Background. Problematic Internet use is characterized by excessive or poorly controlled preoccupations, urges, or behavior regarding computer use and Internet access which lead to impairment or distress. It has been found that the occurrence rate of problematic Internet use among university students ranges from 0.8% to 47.7%. Despite this, there are multiple challenges that relate to problematic Internet use, which remain underrecognized and largely ignored by stakeholders and are not well known, especially in low-income countries, including Ethiopia. Therefore, this study was conducted aiming to assess the prevalence of problematic Internet use and its associated factors among undergraduate students. Methods. Cross-sectional study was employed from May 1st to June 1st, 2019. A multistage sampling technique was used to get a total of 846 undergraduate students. Data were collected by using self-administered structured questionnaires of Young’s Internet Addiction Test. The collected data were 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 problematic Internet use, and statistical significance was considered at  P value &lt;0.05. Results. For a total of 846 study participants, the response rate was 761 (90%) and the prevalence of problematic Internet use was 19.4%. Multiple logistic regression model revealed that being male [AOR = 1.69, 95% CI: 1.80, 6.41], 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 problematic Internet use. Conclusion. This study revealed that there was high prevalence of problematic Internet use among Dilla University students and there were various factors associated with increased prevalence of problematic Internet use. Therefore, students need to be educated about the safe, valuable, and healthy practices of Internet use. Furthermore, it is better to counsel on substance use and its consequences to overcome the anticipated increase in problematic Internet use.

Prevalence and Factors Associated with Problematic Internet Use among Ethiopian Undergraduate University Students in 2019