The predictor role of Internet addiction in high- risk behaviors and general health status among Alborz students: A structural equation model

Background: Internet addiction has become more prevalent in Adolescents. Some adolescents who tend to use Internet excessively have a poorer health status, and engage in more risky behaviors than others. Therefore, the aim of this study was to investigate the predictor role of Internet addiction in...

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Main Authors: Azam Toozandehjani, Zohreh Mahmoodi, Mitra Rahimzadeh, Alireza Jashni Motlagh, Mahnaz Akbari Kamrani, Sara Esmaelzadeh Saeieh
Format: Article
Language:English
Published: Elsevier 2021-05-01
Series:Heliyon
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2405844021010902
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author Azam Toozandehjani
Zohreh Mahmoodi
Mitra Rahimzadeh
Alireza Jashni Motlagh
Mahnaz Akbari Kamrani
Sara Esmaelzadeh Saeieh
author_facet Azam Toozandehjani
Zohreh Mahmoodi
Mitra Rahimzadeh
Alireza Jashni Motlagh
Mahnaz Akbari Kamrani
Sara Esmaelzadeh Saeieh
author_sort Azam Toozandehjani
collection DOAJ
description Background: Internet addiction has become more prevalent in Adolescents. Some adolescents who tend to use Internet excessively have a poorer health status, and engage in more risky behaviors than others. Therefore, the aim of this study was to investigate the predictor role of Internet addiction in high- risk behaviors and the general health status among adolescences. Methods: This was a descriptive-analytical study of structural equation modeling, conducted on 300 students of Alborz University of Medical Sciences. The multi-stage sampling method was used to identify the number of students aged 19–21 years studying in each faculty in the first stage and convenience sampling was used in the second stage. Data were collected using Iranian Adolescents Risk-taking Scale (IARS), the General Health Questionnaire (GHQ-28) and the Young's Internet Addiction Test (YIAT). The data were analyzed using LISREL version 8.8. Results: The results of the measurement model using LISREL software showed a goodness of fit for the conceptual model. Internet addiction had a significant direct positive effect on the adolescents' high-risk behaviors (β = 0.17). Also, Internet addiction had a significant positive effect on the adolescents' general health status (β = 0.33) and general health problems increased by 0.33 per unit of Internet use. The result of structural model revealed no significant effects of general health on high-risk behaviors. Based on the value of the variance determined, Internet addiction could predict 11% of general health. Also, general health and Internet addiction together could predict 2.7% of high- risk behaviors. Conclusion: Given the effect of Internet addiction on the general health and high-risk behavior, it is recommended that adolescents will be screened about internet addiction and the necessary training is given to the adolescents on the appropriate use of Internet. All necessary information should be given to the parents regarding Internet risks and dangers.
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spelling doaj.art-9f7338010d7c4d02afde5dcd55558b442022-12-21T22:11:02ZengElsevierHeliyon2405-84402021-05-0175e06987The predictor role of Internet addiction in high- risk behaviors and general health status among Alborz students: A structural equation modelAzam Toozandehjani0Zohreh Mahmoodi1Mitra Rahimzadeh2Alireza Jashni Motlagh3Mahnaz Akbari Kamrani4Sara Esmaelzadeh Saeieh5Student Research Committee, Alborz University of Medical Sciences, Karaj, IranSocial Determinants of Health Research Center, Alborz University of Medical Sciences, Karaj, IranSocial Determinants of Health Research Center, School of Public Health, Alborz University of Medical Sciences, Karaj, IranNeonatal-Perinatal Medicine Department of Pediatrics, School of Medicine, Alborz University of Medical Sciences, Karaj, IranSocial Determinants of Health Research Center, Alborz University of Medical Sciences, Karaj, IranSocial Determinants of Health Research Center, Alborz University of Medical Sciences, Karaj, Iran; Corresponding author.Background: Internet addiction has become more prevalent in Adolescents. Some adolescents who tend to use Internet excessively have a poorer health status, and engage in more risky behaviors than others. Therefore, the aim of this study was to investigate the predictor role of Internet addiction in high- risk behaviors and the general health status among adolescences. Methods: This was a descriptive-analytical study of structural equation modeling, conducted on 300 students of Alborz University of Medical Sciences. The multi-stage sampling method was used to identify the number of students aged 19–21 years studying in each faculty in the first stage and convenience sampling was used in the second stage. Data were collected using Iranian Adolescents Risk-taking Scale (IARS), the General Health Questionnaire (GHQ-28) and the Young's Internet Addiction Test (YIAT). The data were analyzed using LISREL version 8.8. Results: The results of the measurement model using LISREL software showed a goodness of fit for the conceptual model. Internet addiction had a significant direct positive effect on the adolescents' high-risk behaviors (β = 0.17). Also, Internet addiction had a significant positive effect on the adolescents' general health status (β = 0.33) and general health problems increased by 0.33 per unit of Internet use. The result of structural model revealed no significant effects of general health on high-risk behaviors. Based on the value of the variance determined, Internet addiction could predict 11% of general health. Also, general health and Internet addiction together could predict 2.7% of high- risk behaviors. Conclusion: Given the effect of Internet addiction on the general health and high-risk behavior, it is recommended that adolescents will be screened about internet addiction and the necessary training is given to the adolescents on the appropriate use of Internet. All necessary information should be given to the parents regarding Internet risks and dangers.http://www.sciencedirect.com/science/article/pii/S2405844021010902Internet addictionHigh risk behaviorGeneral healthAdolescence
spellingShingle Azam Toozandehjani
Zohreh Mahmoodi
Mitra Rahimzadeh
Alireza Jashni Motlagh
Mahnaz Akbari Kamrani
Sara Esmaelzadeh Saeieh
The predictor role of Internet addiction in high- risk behaviors and general health status among Alborz students: A structural equation model
Heliyon
Internet addiction
High risk behavior
General health
Adolescence
title The predictor role of Internet addiction in high- risk behaviors and general health status among Alborz students: A structural equation model
title_full The predictor role of Internet addiction in high- risk behaviors and general health status among Alborz students: A structural equation model
title_fullStr The predictor role of Internet addiction in high- risk behaviors and general health status among Alborz students: A structural equation model
title_full_unstemmed The predictor role of Internet addiction in high- risk behaviors and general health status among Alborz students: A structural equation model
title_short The predictor role of Internet addiction in high- risk behaviors and general health status among Alborz students: A structural equation model
title_sort predictor role of internet addiction in high risk behaviors and general health status among alborz students a structural equation model
topic Internet addiction
High risk behavior
General health
Adolescence
url http://www.sciencedirect.com/science/article/pii/S2405844021010902
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