ArticleSultan Qaboos University medical journal2021
Internet Addiction and Depression Among Postgraduate Residents: A cross-sectional survey.
Article in Sultan Qaboos University medical journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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Who cites it
6 citing papers in PubMed, 17 citations in OpenAlex.
- Prevalence and associated risk factors for social networking addiction among the young generation in Bangladesh.Discover mental health · 2026Article
- Childhood Maltreatment and Internet Addiction: A Moderated Mediation Model of Depression and Physical Activities.Psychology research and behavior management · 2025Article
- Problematic Internet use among resident physicians at St. Paul's Hospital Millennium Medical College in Addis Ababa, Ethiopia.BMC psychiatry · 2024Article
- Internet addiction, social phobia, substance abuse, and depression in the university setting: a cross-sectional study in the southern region of Morocco.Frontiers in psychology · 2024Article
- Quality of Life Among Postgraduate Medical Residents in Oman: A Cross-sectional Survey.Oman medical journal · 2023Article
- Internet Addiction and Its Associated Factors among Undergraduate Students in Kathmandu, Nepal.Journal of addiction · 2023Article
Corrections and comments
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Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesThis 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.
methodsThis 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.
resultsA 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 (
conclusionInternet 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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