Evidence map›Paper›PMID 37798719›Full record

ArticleBMC psychiatry2023

Internet addiction and associated factors among undergraduate students of Jimma University; Jimma, South West Ethiopia, institutional based cross-sectional study.

Abdulkarim Amano, Gutema Ahmed, Kabtamu Nigussie, Henock Asfaw, Gelana Fekadu, Ahmed Hiko, Tilahun Abdeta, Matiwos Soboka

Open access · goldAbstract read
In one paragraph

Article in BMC psychiatry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 3 pooled it
10.4field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 3 syntheses or guidelines pooled it, 18 citations in OpenAlex.

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  13. Application and challenges of a metaverse in medicine.Frontiers in robotics and AI · 2023
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 2 institutions in 1 country.

Abdulkarim AmanoSchool of Nursing and Midwifery, Haramaya University College of Health and Medical Sciences, Harar, Ethiopia. abdulkarimamano2019@gmail.com.
Gutema AhmedDepartment of psychiatry, faculty of medicine Institute of health Sciences, Jimma University, Jimma, Ethiopia.
Kabtamu NigussieSchool of Nursing and Midwifery, Haramaya University College of Health and Medical Sciences, Harar, Ethiopia.
Henock AsfawSchool of Nursing and Midwifery, Haramaya University College of Health and Medical Sciences, Harar, Ethiopia.
Gelana FekaduSchool of Nursing and Midwifery, Haramaya University College of Health and Medical Sciences, Harar, Ethiopia.
Ahmed HikoSchool of Nursing and Midwifery, Haramaya University College of Health and Medical Sciences, Harar, Ethiopia.
Tilahun AbdetaSchool of Nursing and Midwifery, Haramaya University College of Health and Medical Sciences, Harar, Ethiopia.
Matiwos SobokaDepartment of psychiatry, faculty of medicine Institute of health Sciences, Jimma University, Jimma, Ethiopia.
Haramaya University · ETJimma University · ET

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInternet addiction affects cognitive function, has a harmful impact on students' academic performance, and increases their risk of experiencing psychological crises.

objectivesExamining the prevalence of internet addiction and its contributing factors among regular undergraduate students at Jimma University in south-west Ethiopia.

methodsAn institutional-based cross-sectional study was conducted among study participants between August 1 and August 30, 2021. A total of 772 Participants were involved in the study using a multistage random sampling technique. Data was collected using pretested and structured questionnaires with self-administered techniques. The Young Internet Addiction Test (YIAT) was used to measure internet addiction. The data was entered into the computer using Epi Data version 4.6, and then it was exported to the Statistical Package for Social Science (SPSS) version 25 for analysis. The association between each independent variable and the outcome variable was examined using bivariate analysis. Variables with a p-value of less than 0.25 in bivariate analysis were included in the multivariate logistic regression model to determine how each independent variable affected the outcome variable.

resultThe prevalence of internet addiction among study participants was 53.6% (95% Confidence Interval (CI)) (49.99%, 57.15%). Findings from multivariate logistic regression analysis suggested a variety of related factors had significant associations with internet addiction. Being dissatisfied with a major study, having a cumulative grade point average of a promoted grade report, using the internet for entertainment, using the internet for Facebook, using the internet for telegram, depression, social anxiety, and poor social support.

conclusionThis study revealed a comparatively high frequency of internet addiction among study participants. Internet addiction has been linked to psychosocial, academic, and purpose-related aspects of internet use. As a result, incorporating stakeholders' efforts to improve the identified variables would be a helpful start toward lowering this high incidence.

Indexed as

Internet Addiction DisorderStudentsCross-Sectional StudiesEthiopiaHumansUniversitiesAcademic performanceAnxietyDepressionInternet addictionJimma UniversityStudents

Identifiers

PMID37798719
PMCPMC10552302
OpenAlexW4387373879

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.