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Internet Addiction and its Predictors in Guilan Medical Sciences Students, 2012

BACKGROUND: Internet is one of the technologies of the modern era that is being extensively used around the world. It is believed that excessive Internet use can be pathological and addictive. Though, academic use of the Internet is primarily intended for learning and research, students are one of t...

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Autores principales: Asiri, Shahla, Fallahi, Fatemeh, Ghanbari, Atefeh, Kazemnejad-leili, Ehsan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Kashan University of Medical Sciences 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4228546/
https://www.ncbi.nlm.nih.gov/pubmed/25414864
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author Asiri, Shahla
Fallahi, Fatemeh
Ghanbari, Atefeh
Kazemnejad-leili, Ehsan
author_facet Asiri, Shahla
Fallahi, Fatemeh
Ghanbari, Atefeh
Kazemnejad-leili, Ehsan
author_sort Asiri, Shahla
collection PubMed
description BACKGROUND: Internet is one of the technologies of the modern era that is being extensively used around the world. It is believed that excessive Internet use can be pathological and addictive. Though, academic use of the Internet is primarily intended for learning and research, students are one of the groups at risk of Internet addiction. OBJECTIVES: Due to the expanding use of Internet among the university students, this study was conducted to examine the Internet addiction and its predictors among Guilan University of Medical Sciences students. MATERIALS AND METHODS: A cross-sectional study was conducted on 583 students during the first semester of 2012. A two-stage stratified random sampling was conducted and a two-part instrument was used for data collection. The first part of the instrument was consisted of questions about demographic characteristics and the second part was the Young's Internet addiction inventory. Chi-square, Kruskal-Wallis testes, Spearman correlation coefficient and ranked logistic regression were used for data analysis. RESULTS: About 5.7% of the students were moderately dependent to the Internet, while 44.1% were at risk for Internet addiction. Significant relationships were observed between the Internet addiction with age (P < 0.001), gender (P < 0.001), marital status (P < 0.001), major (P = 0.016), Grade point average (P = 0.017), semester of studying (P = 0.009) and student residence place (P = 0.014). However, no significant relationship was observed between the internet addiction score and level of discipline, parental job status and education level or the students’ accommodation. CONCLUSION: About half of the participants in this study were at risk of Internet addiction. This finding can be a warning sign for the authorities in universities to pay more attention to this issue. A wide range of education along with empowering programs may be needed to inform the university students about the advantages and disadvantages of internet and the correct manner of using it.
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spelling pubmed-42285462014-11-20 Internet Addiction and its Predictors in Guilan Medical Sciences Students, 2012 Asiri, Shahla Fallahi, Fatemeh Ghanbari, Atefeh Kazemnejad-leili, Ehsan Nurs Midwifery Stud Research Article BACKGROUND: Internet is one of the technologies of the modern era that is being extensively used around the world. It is believed that excessive Internet use can be pathological and addictive. Though, academic use of the Internet is primarily intended for learning and research, students are one of the groups at risk of Internet addiction. OBJECTIVES: Due to the expanding use of Internet among the university students, this study was conducted to examine the Internet addiction and its predictors among Guilan University of Medical Sciences students. MATERIALS AND METHODS: A cross-sectional study was conducted on 583 students during the first semester of 2012. A two-stage stratified random sampling was conducted and a two-part instrument was used for data collection. The first part of the instrument was consisted of questions about demographic characteristics and the second part was the Young's Internet addiction inventory. Chi-square, Kruskal-Wallis testes, Spearman correlation coefficient and ranked logistic regression were used for data analysis. RESULTS: About 5.7% of the students were moderately dependent to the Internet, while 44.1% were at risk for Internet addiction. Significant relationships were observed between the Internet addiction with age (P < 0.001), gender (P < 0.001), marital status (P < 0.001), major (P = 0.016), Grade point average (P = 0.017), semester of studying (P = 0.009) and student residence place (P = 0.014). However, no significant relationship was observed between the internet addiction score and level of discipline, parental job status and education level or the students’ accommodation. CONCLUSION: About half of the participants in this study were at risk of Internet addiction. This finding can be a warning sign for the authorities in universities to pay more attention to this issue. A wide range of education along with empowering programs may be needed to inform the university students about the advantages and disadvantages of internet and the correct manner of using it. Kashan University of Medical Sciences 2013-06-27 2013-06 /pmc/articles/PMC4228546/ /pubmed/25414864 Text en Copyright © 2013, Kashan University of Medical Sciences. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Asiri, Shahla
Fallahi, Fatemeh
Ghanbari, Atefeh
Kazemnejad-leili, Ehsan
Internet Addiction and its Predictors in Guilan Medical Sciences Students, 2012
title Internet Addiction and its Predictors in Guilan Medical Sciences Students, 2012
title_full Internet Addiction and its Predictors in Guilan Medical Sciences Students, 2012
title_fullStr Internet Addiction and its Predictors in Guilan Medical Sciences Students, 2012
title_full_unstemmed Internet Addiction and its Predictors in Guilan Medical Sciences Students, 2012
title_short Internet Addiction and its Predictors in Guilan Medical Sciences Students, 2012
title_sort internet addiction and its predictors in guilan medical sciences students, 2012
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4228546/
https://www.ncbi.nlm.nih.gov/pubmed/25414864
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