Prediction of internet addiction based on information literacy among students of Iran University of Medical Sciences

Bibliographic Details
Title: Prediction of internet addiction based on information literacy among students of Iran University of Medical Sciences
Authors: Mostafa Langarizadeh, Majid Naghipour, Seyed Mohsen Tabatabaei, Abbas Mirzaei, Mohammad Eslami Vaghar
Source: Electronic Physician, Vol 10, Iss 2, Pp 6333-6340 (2018)
Publisher Information: Electronic Physician, 2018.
Publication Year: 2018
Collection: LCC:Medicine (General)
Subject Terms: Information literacy, Internet addiction, Medicine (General), R5-920
More Details: Background: A considerable group of internet users consists of university users; however, despite internet benefits and capabilities, internet overuse is a threat to societies especially to young people and students. Objective: The objective of this study was to determine the predictive role of information literacy in internet addiction among students of Iran University of Medical Sciences during 2016. Methods: This analytical cross-sectional study was conducted in Iran University of Medical Sciences in 2016. Using stratified random sampling method, 365 students from different disciplines were selected. Measuring tools included the Information Literacy Questionnaire, the Yang Online Drug Addiction Scale and the General Health Questionnaire. The collected data were analyzed by Pearson product-moment correlation, independent samples ttest and multiple linear regression using SPSS version 22. Results: According to this study, 31.2% of students had internet addiction (29.9% were mildly addicted and 1.3% had severe addiction). There was a significant and inverse relationship between higher information literacy and internet addiction (R= -0.45) and (p
Document Type: article
File Description: electronic resource
Language: English
ISSN: 2008-5842
Relation: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5878027/; https://doaj.org/toc/2008-5842
DOI: 10.19082/6333
Access URL: https://doaj.org/article/c83ffeede5dc47fab00e57fd3082a99b
Accession Number: edsdoj.83ffeede5dc47fab00e57fd3082a99b
Database: Directory of Open Access Journals
More Details
ISSN:20085842
DOI:10.19082/6333
Published in:Electronic Physician
Language:English