ArticleSleep medicine: X2024
Poor sleep quality among bedtime smartphone user medical students in Ethiopia, 2024.
Article in Sleep medicine: X, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
5 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Comprehensive effects and dose-response relationship of screen exposure on university students' physical and mental health and academic performance in the digital age: a systematic review and meta-analysis.BMC public health · 2026Pooled it
- The role of FoMO and nomophobia in explaining the relationship between doomscrolling and poor sleep quality.BMC psychology · 2025Article
- Restless nights, demanding days: assessment of the prevalence and associated factors of poor sleep quality among medical students in Mogadishu, Somalia.BMC medical education · 2025Article
- Article
- Smartphone addiction and sleep quality among nursing students in Meknes, Morocco: A cross-sectional study.Belitung nursing journal · 2025Article
Corrections and comments
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Smartphone use has become widespread and continues to grow rapidly. Medical students, already highly susceptible to sleep deprivation, may experience exacerbated issues due to smartphone usage, particularly at bedtime. Therefore, understanding the potential negative impacts of this behavior is crucial. This study aims to assess the prevalence and risk factors of sleep quality among medical students bed time smart phone users in Ethiopia. Subject and methods: An institutional-based cross-sectional study design was employed, involving 354 undergraduate medical students selected through simple random sampling from Debre Marko's University, the University of Gondar, and Debre Berhan University. Data were collected using the Pittsburgh Sleep Quality Index and structured interviews. Variables with a p-value of ≤0.2 in bivariable regression were included in multivariable logistic regression. Crude odds ratios and adjusted odds ratios were calculated, while chi-square tests were used to assess assumptions. In multivariable regression, variables with a p-value of ≤0.05 were deemed significant predictors at the 95 % confidence interval. Result: The results showed that among bedtime smartphone users, 67.52 % had a poor sleep quality index greater than 5. Poor sleep quality was significantly linked to factors such as sex, regular coffee consumption, the purpose of smartphone use, phone position during use, the duration of smartphone use, and a history of disease. Social media usage was the most common activity, accounting for 41.60 % of smartphone use, followed by watching videos (21.65 %). Conclusion: This study highlights the detrimental effects of bedtime smartphone use on sleep quality, which subsequently impacts mental. Given these findings, it is strongly recommended that medical students reduce their smartphone use before bedtime to improve their sleep quality.
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