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Psychological Factors Including Demographic Features, Mental Illnesses, and Personality Disorders as Predictors in Internet Addiction Disorder

Objective: Problematic internet use is an important social problem among adolescents and has become a global health issue. This study identified predictors and patterns of problematic internet use among adult students. Method : In this study, 401 students were recruited using stratified sampling tec...

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Autores principales: Farahani, Malihe, Alavi, Seyyed Salman, Mirzamani Bafghi, Mahmood, Esmaili Alamuti, Sudeh, Taghavi, Zohreh, Mohammadi, Mohammadreza
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Psychiatry & Psychology Research Center, Tehran University of Medical Sciences 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6037575/
https://www.ncbi.nlm.nih.gov/pubmed/29997655
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author Farahani, Malihe
Alavi, Seyyed Salman
Mirzamani Bafghi, Mahmood
Esmaili Alamuti, Sudeh
Taghavi, Zohreh
Mohammadi, Mohammadreza
author_facet Farahani, Malihe
Alavi, Seyyed Salman
Mirzamani Bafghi, Mahmood
Esmaili Alamuti, Sudeh
Taghavi, Zohreh
Mohammadi, Mohammadreza
author_sort Farahani, Malihe
collection PubMed
description Objective: Problematic internet use is an important social problem among adolescents and has become a global health issue. This study identified predictors and patterns of problematic internet use among adult students. Method : In this study, 401 students were recruited using stratified sampling technique. Participants were selected among students from 4 universities in Tehran and Karaj, Iran, during 2016 and 2017. Internet Addiction Test (IAT), Millon Clinical Multiaxial Inventory - Third Edition (MCMI-III), Structured Clinical Interview for DSM (SCID-I), and semi-structured interview were used to diagnose internet addiction. Then, the association between main psychiatric disorders and internet addiction was surveyed. Data were analyzed using SPSS18 software by performing descriptive statistics and multiple logistic regression analysis methods. P- Values less than 0.05 were considered statistically significant. Results: After controlling the demographic variables, it was found that narcissistic personality disorder, obsessive- compulsive personality disorder, anxiety, bipolar disorders, depression, and phobia could increase the odds ratio (OR) of internet addiction by 2.1, 1.1, 2.6, 1.1, 2.2 and 2.5-folds, respectively (p-value<0.05), however, other psychiatric or personality disorders did not have a significant effect on the equation. Conclusion: The findings of this study revealed that some mental disorders affect internet addiction. Considering the sensitivity and importance of the cyberspace, it is necessary to evaluate mental disorders that correlate with internet addiction.
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spelling pubmed-60375752018-07-11 Psychological Factors Including Demographic Features, Mental Illnesses, and Personality Disorders as Predictors in Internet Addiction Disorder Farahani, Malihe Alavi, Seyyed Salman Mirzamani Bafghi, Mahmood Esmaili Alamuti, Sudeh Taghavi, Zohreh Mohammadi, Mohammadreza Iran J Psychiatry Original Article Objective: Problematic internet use is an important social problem among adolescents and has become a global health issue. This study identified predictors and patterns of problematic internet use among adult students. Method : In this study, 401 students were recruited using stratified sampling technique. Participants were selected among students from 4 universities in Tehran and Karaj, Iran, during 2016 and 2017. Internet Addiction Test (IAT), Millon Clinical Multiaxial Inventory - Third Edition (MCMI-III), Structured Clinical Interview for DSM (SCID-I), and semi-structured interview were used to diagnose internet addiction. Then, the association between main psychiatric disorders and internet addiction was surveyed. Data were analyzed using SPSS18 software by performing descriptive statistics and multiple logistic regression analysis methods. P- Values less than 0.05 were considered statistically significant. Results: After controlling the demographic variables, it was found that narcissistic personality disorder, obsessive- compulsive personality disorder, anxiety, bipolar disorders, depression, and phobia could increase the odds ratio (OR) of internet addiction by 2.1, 1.1, 2.6, 1.1, 2.2 and 2.5-folds, respectively (p-value<0.05), however, other psychiatric or personality disorders did not have a significant effect on the equation. Conclusion: The findings of this study revealed that some mental disorders affect internet addiction. Considering the sensitivity and importance of the cyberspace, it is necessary to evaluate mental disorders that correlate with internet addiction. Psychiatry & Psychology Research Center, Tehran University of Medical Sciences 2018-04 /pmc/articles/PMC6037575/ /pubmed/29997655 Text en Copyright © Psychiatry & Psychology Research Center, Tehran University of Medical Sciences This is an Open Access article distributed under the terms of the Creative Commons Attribution License, (http://creativecommons.org/licenses/by/3.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Farahani, Malihe
Alavi, Seyyed Salman
Mirzamani Bafghi, Mahmood
Esmaili Alamuti, Sudeh
Taghavi, Zohreh
Mohammadi, Mohammadreza
Psychological Factors Including Demographic Features, Mental Illnesses, and Personality Disorders as Predictors in Internet Addiction Disorder
title Psychological Factors Including Demographic Features, Mental Illnesses, and Personality Disorders as Predictors in Internet Addiction Disorder
title_full Psychological Factors Including Demographic Features, Mental Illnesses, and Personality Disorders as Predictors in Internet Addiction Disorder
title_fullStr Psychological Factors Including Demographic Features, Mental Illnesses, and Personality Disorders as Predictors in Internet Addiction Disorder
title_full_unstemmed Psychological Factors Including Demographic Features, Mental Illnesses, and Personality Disorders as Predictors in Internet Addiction Disorder
title_short Psychological Factors Including Demographic Features, Mental Illnesses, and Personality Disorders as Predictors in Internet Addiction Disorder
title_sort psychological factors including demographic features, mental illnesses, and personality disorders as predictors in internet addiction disorder
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6037575/
https://www.ncbi.nlm.nih.gov/pubmed/29997655
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