Internet addiction and depression among university students at school of health sciences, Universiti Sains Malaysia during the COVID-19 pandemic

Deteriorating mental health among university students during the COVID-19 pandemic is a serious worldwide public health concern. Internet addiction issue risen during COVID-19. This study aims to study internet addiction (IA) and depression among university students in School of Health Sciences,...

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Main Author: Zaabah, Intan Lyana
Format: Monograph
Language:English
Published: Pusat Pengajian Sains Kesihatan, Universiti Sains Malaysia 2022
Subjects:
Online Access:http://eprints.usm.my/56067/
http://eprints.usm.my/56067/1/INTAN%20LYANA-24%20pages.pdf
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author Zaabah, Intan Lyana
author_facet Zaabah, Intan Lyana
author_sort Zaabah, Intan Lyana
building USM Institutional Repository
collection Online Access
description Deteriorating mental health among university students during the COVID-19 pandemic is a serious worldwide public health concern. Internet addiction issue risen during COVID-19. This study aims to study internet addiction (IA) and depression among university students in School of Health Sciences, USM. This study is a cross-sectional study. We collected data from 122 students from January 2022 to March 2022 via convenience sampling. Internet addiction was measured using 26-items validated by Chen Internet Addiction (CIAS). Depression was measured using 10 items validated by the Center for Epidemiological Studies–Depression (CES-D) scale. Descriptive, Pearson Chi-square, Fisher's Exact test and Pearson's Correlation test were used in this study. There were 122 respondents who participated in this study and mostly 78.7% female students participated. The most of the respondents were Year Two students (37.7%). The residence of the respondents mostly from hostel or campus (54.1%). The time spent on internet per day mostly more than five hours (92.6%) per day. 44 students (36.1%) shown as internet addict. 75.4% were mildly depressed. There is a significant, moderate and positive correlation between internet addiction and depression (r =0.481, p <0.001). There is no significant association between sociodemographic characteristics and internet addiction (p>0.05). This study implies that lowering the time spent on internet per day is necessary to reduce the hazards to university students' mental health such as depression.
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format Monograph
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institution Universiti Sains Malaysia
institution_category Local University
language English
last_indexed 2025-11-15T18:47:53Z
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publisher Pusat Pengajian Sains Kesihatan, Universiti Sains Malaysia
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spelling usm-560672022-12-21T04:27:19Z http://eprints.usm.my/56067/ Internet addiction and depression among university students at school of health sciences, Universiti Sains Malaysia during the COVID-19 pandemic Zaabah, Intan Lyana R Medicine Deteriorating mental health among university students during the COVID-19 pandemic is a serious worldwide public health concern. Internet addiction issue risen during COVID-19. This study aims to study internet addiction (IA) and depression among university students in School of Health Sciences, USM. This study is a cross-sectional study. We collected data from 122 students from January 2022 to March 2022 via convenience sampling. Internet addiction was measured using 26-items validated by Chen Internet Addiction (CIAS). Depression was measured using 10 items validated by the Center for Epidemiological Studies–Depression (CES-D) scale. Descriptive, Pearson Chi-square, Fisher's Exact test and Pearson's Correlation test were used in this study. There were 122 respondents who participated in this study and mostly 78.7% female students participated. The most of the respondents were Year Two students (37.7%). The residence of the respondents mostly from hostel or campus (54.1%). The time spent on internet per day mostly more than five hours (92.6%) per day. 44 students (36.1%) shown as internet addict. 75.4% were mildly depressed. There is a significant, moderate and positive correlation between internet addiction and depression (r =0.481, p <0.001). There is no significant association between sociodemographic characteristics and internet addiction (p>0.05). This study implies that lowering the time spent on internet per day is necessary to reduce the hazards to university students' mental health such as depression. Pusat Pengajian Sains Kesihatan, Universiti Sains Malaysia 2022 Monograph NonPeerReviewed application/pdf en http://eprints.usm.my/56067/1/INTAN%20LYANA-24%20pages.pdf Zaabah, Intan Lyana (2022) Internet addiction and depression among university students at school of health sciences, Universiti Sains Malaysia during the COVID-19 pandemic. Other. Pusat Pengajian Sains Kesihatan, Universiti Sains Malaysia. (Submitted)
spellingShingle R Medicine
Zaabah, Intan Lyana
Internet addiction and depression among university students at school of health sciences, Universiti Sains Malaysia during the COVID-19 pandemic
title Internet addiction and depression among university students at school of health sciences, Universiti Sains Malaysia during the COVID-19 pandemic
title_full Internet addiction and depression among university students at school of health sciences, Universiti Sains Malaysia during the COVID-19 pandemic
title_fullStr Internet addiction and depression among university students at school of health sciences, Universiti Sains Malaysia during the COVID-19 pandemic
title_full_unstemmed Internet addiction and depression among university students at school of health sciences, Universiti Sains Malaysia during the COVID-19 pandemic
title_short Internet addiction and depression among university students at school of health sciences, Universiti Sains Malaysia during the COVID-19 pandemic
title_sort internet addiction and depression among university students at school of health sciences, universiti sains malaysia during the covid-19 pandemic
topic R Medicine
url http://eprints.usm.my/56067/
http://eprints.usm.my/56067/1/INTAN%20LYANA-24%20pages.pdf