Staff View: Internet addiction: a multiple regression analysis of its predictive factors and its relation to depression and anxiety / Nornadiah Mohd Razali …[et al.]

Internet addiction: a multiple regression analysis of its predictive factors and its relation to depression and anxiety / Nornadiah Mohd Razali …[et al.]

Internet usage is particularly significant in the population of adolescents and youngsters. Besides numerous benefits, internet usage may also bring certain risks of addictive behaviour. Thus, the purpose of this study was to determine the factors influencing internet addiction among youngsters. The...

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Main Authors:	Mohd Razali, Nornadiah, Mohd Ghaus, Nor Adiena, Muhammad, Siti Norafiqah Khairunnisa, Abdul Hadi, Az’lina, Azid @ Maarof, Nur Niswah Naslina
Format:	Article
Language:	English
Published:	2023
Subjects:	Anxiety RC Internal Medicine Telecommunication
Online Access:	https://ir.uitm.edu.my/id/eprint/79607/1/79607.pdf https://ir.uitm.edu.my/id/eprint/79607/ https://jmcs.com.my
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id	my.uitm.ir.79607
record_format	eprints
spelling	my.uitm.ir.796072023-06-19T03:36:25Z https://ir.uitm.edu.my/id/eprint/79607/ Internet addiction: a multiple regression analysis of its predictive factors and its relation to depression and anxiety / Nornadiah Mohd Razali …[et al.] jmcs Mohd Razali, Nornadiah Mohd Ghaus, Nor Adiena Muhammad, Siti Norafiqah Khairunnisa Abdul Hadi, Az’lina Azid @ Maarof, Nur Niswah Naslina Anxiety RC Internal Medicine Telecommunication Internet usage is particularly significant in the population of adolescents and youngsters. Besides numerous benefits, internet usage may also bring certain risks of addictive behaviour. Thus, the purpose of this study was to determine the factors influencing internet addiction among youngsters. The relationship of internet addiction with depression and anxiety was also investigated in the study. Simple random sampling was executed, and 357 students had taken part in the study. Internet addiction Test (IAT) and Depression Anxiety Stress Scales 21 which were the tool to assess internet addiction, anxiety and depression were employed. Descriptive analysis, a frequency table, was used to summarise the demographic profile as well as to describe the level of internet addiction, anxiety, and depression among the students. Multiple Linear Regression was used to examine the influence of gender, mode of online, purpose of online, duration of daily internet usage and frequency of internet use per week on the internet addiction while Chi-square test and Fisher’s Exact test were implemented to investigate the relationship of internet addiction with depression and anxiety. The findings indicated that only gender (p-value = 0.000) had significant influence on internet addiction. Chi-Square test was used to identify the relationship between internet addiction and depression. The results show that there is a significant relationship between internet addiction and depression (p-value = 0.000) since the p-value was less than 0.05. Finally, Fisher’s Exact test was used to identify the relationship between internet addiction and anxiety because the assumption of Chi-Square test was not met. Similarly, the results show a significant relationship between internet addiction and anxiety (p-value = 0.000). 2023-06 Article PeerReviewed text en https://ir.uitm.edu.my/id/eprint/79607/1/79607.pdf Internet addiction: a multiple regression analysis of its predictive factors and its relation to depression and anxiety / Nornadiah Mohd Razali …[et al.]. (2023) Journal of Mathematics and Computing Science <https://ir.uitm.edu.my/view/publication/Journal_of_Mathematics_and_Computing_Science.html>, 9 (1). pp. 13-20. ISSN 0128-0767 https://jmcs.com.my
institution	Universiti Teknologi Mara
building	Tun Abdul Razak Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Teknologi Mara
content_source	UiTM Institutional Repository
url_provider	http://ir.uitm.edu.my/
language	English
topic	Anxiety RC Internal Medicine Telecommunication
spellingShingle	Anxiety RC Internal Medicine Telecommunication Mohd Razali, Nornadiah Mohd Ghaus, Nor Adiena Muhammad, Siti Norafiqah Khairunnisa Abdul Hadi, Az’lina Azid @ Maarof, Nur Niswah Naslina Internet addiction: a multiple regression analysis of its predictive factors and its relation to depression and anxiety / Nornadiah Mohd Razali …[et al.]
description	Internet usage is particularly significant in the population of adolescents and youngsters. Besides numerous benefits, internet usage may also bring certain risks of addictive behaviour. Thus, the purpose of this study was to determine the factors influencing internet addiction among youngsters. The relationship of internet addiction with depression and anxiety was also investigated in the study. Simple random sampling was executed, and 357 students had taken part in the study. Internet addiction Test (IAT) and Depression Anxiety Stress Scales 21 which were the tool to assess internet addiction, anxiety and depression were employed. Descriptive analysis, a frequency table, was used to summarise the demographic profile as well as to describe the level of internet addiction, anxiety, and depression among the students. Multiple Linear Regression was used to examine the influence of gender, mode of online, purpose of online, duration of daily internet usage and frequency of internet use per week on the internet addiction while Chi-square test and Fisher’s Exact test were implemented to investigate the relationship of internet addiction with depression and anxiety. The findings indicated that only gender (p-value = 0.000) had significant influence on internet addiction. Chi-Square test was used to identify the relationship between internet addiction and depression. The results show that there is a significant relationship between internet addiction and depression (p-value = 0.000) since the p-value was less than 0.05. Finally, Fisher’s Exact test was used to identify the relationship between internet addiction and anxiety because the assumption of Chi-Square test was not met. Similarly, the results show a significant relationship between internet addiction and anxiety (p-value = 0.000).
format	Article
author	Mohd Razali, Nornadiah Mohd Ghaus, Nor Adiena Muhammad, Siti Norafiqah Khairunnisa Abdul Hadi, Az’lina Azid @ Maarof, Nur Niswah Naslina
author_facet	Mohd Razali, Nornadiah Mohd Ghaus, Nor Adiena Muhammad, Siti Norafiqah Khairunnisa Abdul Hadi, Az’lina Azid @ Maarof, Nur Niswah Naslina
author_sort	Mohd Razali, Nornadiah
title	Internet addiction: a multiple regression analysis of its predictive factors and its relation to depression and anxiety / Nornadiah Mohd Razali …[et al.]
title_short	Internet addiction: a multiple regression analysis of its predictive factors and its relation to depression and anxiety / Nornadiah Mohd Razali …[et al.]
title_full	Internet addiction: a multiple regression analysis of its predictive factors and its relation to depression and anxiety / Nornadiah Mohd Razali …[et al.]
title_fullStr	Internet addiction: a multiple regression analysis of its predictive factors and its relation to depression and anxiety / Nornadiah Mohd Razali …[et al.]
title_full_unstemmed	Internet addiction: a multiple regression analysis of its predictive factors and its relation to depression and anxiety / Nornadiah Mohd Razali …[et al.]
title_sort	internet addiction: a multiple regression analysis of its predictive factors and its relation to depression and anxiety / nornadiah mohd razali …[et al.]
publishDate	2023
url	https://ir.uitm.edu.my/id/eprint/79607/1/79607.pdf https://ir.uitm.edu.my/id/eprint/79607/ https://jmcs.com.my
_version_	1769846673659396096
score	13.211869

Internet addiction: a multiple regression analysis of its predictive factors and its relation to depression and anxiety / Nornadiah Mohd Razali …[et al.]

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