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Internet Addiction and Depression Among Postgraduate Residents: A cross-sectional survey

OBJECTIVES: This study aimed to estimate the prevalence of social media usage and Internet addiction among Oman Medical Specialty Board (OMSB) residents and to determine associations between Internet addiction, sociodemographic characteristics and symptoms of depression. METHODS: This cross-sectiona...

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Autores principales: Al Mukhaini, Ameena M., Al Houqani, Fakhriya A., Al Kindi, Rahma M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Sultan Qaboos University Medical Journal, College of Medicine & Health Sciences 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8407895/
https://www.ncbi.nlm.nih.gov/pubmed/34522406
http://dx.doi.org/10.18295/squmj.4.2021.008
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author Al Mukhaini, Ameena M.
Al Houqani, Fakhriya A.
Al Kindi, Rahma M.
author_facet Al Mukhaini, Ameena M.
Al Houqani, Fakhriya A.
Al Kindi, Rahma M.
author_sort Al Mukhaini, Ameena M.
collection PubMed
description OBJECTIVES: This study aimed to estimate the prevalence of social media usage and Internet addiction among Oman Medical Specialty Board (OMSB) residents and to determine associations between Internet addiction, sociodemographic characteristics and symptoms of depression. METHODS: This cross-sectional study took place between January and March 2017. All 499 residents enrolled in OMSB training programmes during the 2016–2017 academic year were targeted. A self-administered questionnaire was distributed to collect information concerning sociodemographic characteristics. In addition, the Patient Health Questionnaire-9 and Internet Addiction Test were used to screen for depression and Internet addiction, respectively. RESULTS: A total of 399 residents participated in the study (response rate: 80%). Overall, 115 residents (28.8%) had varying degrees of depression and 149 (37.3%) were addicted to the Internet; moreover, among those addicted, 54 (36.2%) had depression. While no significant associations were observed between Internet addiction and sociodemographic characteristics, the association between Internet addiction and depression was statistically significant (P = 0.012). CONCLUSION: Internet addiction was clearly detected among many OMSB residents, with a significant association observed between Internet addiction and depression. Although a causal link between these two variables cannot be established as depression is multifactorial in origin, the disadvantages and harmful effects of excessive Internet and social media usage need to be addressed. Further research on the consequences of Internet addiction and its effect on quality of life and academic achievement is recommended.
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spelling pubmed-84078952021-09-13 Internet Addiction and Depression Among Postgraduate Residents: A cross-sectional survey Al Mukhaini, Ameena M. Al Houqani, Fakhriya A. Al Kindi, Rahma M. Sultan Qaboos Univ Med J Clinical & Basic Research OBJECTIVES: This study aimed to estimate the prevalence of social media usage and Internet addiction among Oman Medical Specialty Board (OMSB) residents and to determine associations between Internet addiction, sociodemographic characteristics and symptoms of depression. METHODS: This cross-sectional study took place between January and March 2017. All 499 residents enrolled in OMSB training programmes during the 2016–2017 academic year were targeted. A self-administered questionnaire was distributed to collect information concerning sociodemographic characteristics. In addition, the Patient Health Questionnaire-9 and Internet Addiction Test were used to screen for depression and Internet addiction, respectively. RESULTS: A total of 399 residents participated in the study (response rate: 80%). Overall, 115 residents (28.8%) had varying degrees of depression and 149 (37.3%) were addicted to the Internet; moreover, among those addicted, 54 (36.2%) had depression. While no significant associations were observed between Internet addiction and sociodemographic characteristics, the association between Internet addiction and depression was statistically significant (P = 0.012). CONCLUSION: Internet addiction was clearly detected among many OMSB residents, with a significant association observed between Internet addiction and depression. Although a causal link between these two variables cannot be established as depression is multifactorial in origin, the disadvantages and harmful effects of excessive Internet and social media usage need to be addressed. Further research on the consequences of Internet addiction and its effect on quality of life and academic achievement is recommended. Sultan Qaboos University Medical Journal, College of Medicine & Health Sciences 2021-08 2021-08-29 /pmc/articles/PMC8407895/ /pubmed/34522406 http://dx.doi.org/10.18295/squmj.4.2021.008 Text en © Copyright 2021, Sultan Qaboos University Medical Journal, All Rights Reserved https://creativecommons.org/licenses/by-nd/4.0/This work is licensed under a Creative Commons Attribution-NoDerivatives 4.0 International License (https://creativecommons.org/licenses/by-nd/4.0/) .
spellingShingle Clinical & Basic Research
Al Mukhaini, Ameena M.
Al Houqani, Fakhriya A.
Al Kindi, Rahma M.
Internet Addiction and Depression Among Postgraduate Residents: A cross-sectional survey
title Internet Addiction and Depression Among Postgraduate Residents: A cross-sectional survey
title_full Internet Addiction and Depression Among Postgraduate Residents: A cross-sectional survey
title_fullStr Internet Addiction and Depression Among Postgraduate Residents: A cross-sectional survey
title_full_unstemmed Internet Addiction and Depression Among Postgraduate Residents: A cross-sectional survey
title_short Internet Addiction and Depression Among Postgraduate Residents: A cross-sectional survey
title_sort internet addiction and depression among postgraduate residents: a cross-sectional survey
topic Clinical & Basic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8407895/
https://www.ncbi.nlm.nih.gov/pubmed/34522406
http://dx.doi.org/10.18295/squmj.4.2021.008
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