ArticleHealthcare (Basel, Switzerland)2024
Prevalence and Associations of Depression among Saudi College Nursing Students: A Cross-Sectional Study.
Article in Healthcare (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Prevalence of stress and associated factors among nursing students in Limpopo province, South Africa.Curationis · 2026Article
- Associations Among Depression, Self-Compassion, and Learning Burnout in Nursing Students: A Three-Wave Longitudinal Study.Depression and anxiety · 2026Article
- Unraveling the threads of depressive symptoms: Enhancing predictions of depression among university junior students.SAGE open medicine · 2025Article
- An explainable analysis of depression status and influencing factors among nursing students.Frontiers in psychiatry · 2025Article
- Examining the Impact of Digital Detox Interventions on Anxiety and Depression Levels Among Young Adults.Cureus · 2024Article
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Authors and funding
6 authors.
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Abstract
Depression affects approximately 350 million individuals globally and is the leading cause of disability. Depression among nursing students is an ongoing issue, yet little is known about the relationship between depression and its risk factors among nursing students in Saudi Arabia. The purpose of this study was to determine the prevalence of depression among a cohort of Saudi nursing students and to explore the risk factors associated with depression in this group. A cross-sectional design was employed for this study, which was conducted by the nursing faculty at King Saud University in Riyadh, Saudi Arabia. The researcher sampled 330 nursing students, with 252 students (a 76.3% response rate) randomly selected by the academic advising unit in the nursing college between January and February 2023. The participants completed an online survey based on the Arabic version of the Center for Epidemiologic Studies Depression Scale. The data were analyzed using univariate analysis and backward multi-variable logistic regression. The findings revealed that 65.1% of the participants scored 16 or above on the depression scale, indicating high levels of depressive symptoms. Univariate analysis identified several significant risk factors for depression, including sex (OR, 0.29; 95% CI, 0.16-0.51;
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