Cargando…

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

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 info...

Descripción completa

Detalles Bibliográficos
Autores principales: Langarizadeh, Mostafa, Naghipour, Majid, Tabatabaei, Seyed Mohsen, Mirzaei, Abbas, Vaghar, Mohammad Eslami
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Electronic physician 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5878027/
https://www.ncbi.nlm.nih.gov/pubmed/29629056
http://dx.doi.org/10.19082/6333
_version_ 1783310801910628352
author Langarizadeh, Mostafa
Naghipour, Majid
Tabatabaei, Seyed Mohsen
Mirzaei, Abbas
Vaghar, Mohammad Eslami
author_facet Langarizadeh, Mostafa
Naghipour, Majid
Tabatabaei, Seyed Mohsen
Mirzaei, Abbas
Vaghar, Mohammad Eslami
author_sort Langarizadeh, Mostafa
collection PubMed
description 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 t-test 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<0.001). The predictor variable “Information literacy” explained 20% of the variation in the outcome variable “Internet addiction”. CONCLUSION: Students play a substantial role in promoting the cultural and scientific level of knowledge in society; the higher their information literacy, the lower the level of Internet addiction, and consequently the general health of society will improve. It seems that wise planning by authorities of Iran’s universities to prevent internet addiction and to increase information literacy among students is needed.
format Online
Article
Text
id pubmed-5878027
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher Electronic physician
record_format MEDLINE/PubMed
spelling pubmed-58780272018-04-06 Prediction of internet addiction based on information literacy among students of Iran University of Medical Sciences Langarizadeh, Mostafa Naghipour, Majid Tabatabaei, Seyed Mohsen Mirzaei, Abbas Vaghar, Mohammad Eslami Electron Physician Original Article 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 t-test 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<0.001). The predictor variable “Information literacy” explained 20% of the variation in the outcome variable “Internet addiction”. CONCLUSION: Students play a substantial role in promoting the cultural and scientific level of knowledge in society; the higher their information literacy, the lower the level of Internet addiction, and consequently the general health of society will improve. It seems that wise planning by authorities of Iran’s universities to prevent internet addiction and to increase information literacy among students is needed. Electronic physician 2018-02-25 /pmc/articles/PMC5878027/ /pubmed/29629056 http://dx.doi.org/10.19082/6333 Text en © 2018 The Authors This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License (http://creativecommons.org/licenses/by-nc-nd/3.0/) , which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.
spellingShingle Original Article
Langarizadeh, Mostafa
Naghipour, Majid
Tabatabaei, Seyed Mohsen
Mirzaei, Abbas
Vaghar, Mohammad Eslami
Prediction of internet addiction based on information literacy among students of Iran University of Medical Sciences
title Prediction of internet addiction based on information literacy among students of Iran University of Medical Sciences
title_full Prediction of internet addiction based on information literacy among students of Iran University of Medical Sciences
title_fullStr Prediction of internet addiction based on information literacy among students of Iran University of Medical Sciences
title_full_unstemmed Prediction of internet addiction based on information literacy among students of Iran University of Medical Sciences
title_short Prediction of internet addiction based on information literacy among students of Iran University of Medical Sciences
title_sort prediction of internet addiction based on information literacy among students of iran university of medical sciences
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5878027/
https://www.ncbi.nlm.nih.gov/pubmed/29629056
http://dx.doi.org/10.19082/6333
work_keys_str_mv AT langarizadehmostafa predictionofinternetaddictionbasedoninformationliteracyamongstudentsofiranuniversityofmedicalsciences
AT naghipourmajid predictionofinternetaddictionbasedoninformationliteracyamongstudentsofiranuniversityofmedicalsciences
AT tabatabaeiseyedmohsen predictionofinternetaddictionbasedoninformationliteracyamongstudentsofiranuniversityofmedicalsciences
AT mirzaeiabbas predictionofinternetaddictionbasedoninformationliteracyamongstudentsofiranuniversityofmedicalsciences
AT vagharmohammadeslami predictionofinternetaddictionbasedoninformationliteracyamongstudentsofiranuniversityofmedicalsciences