Evidence map›Paper›PMID 39677974›Full record

ArticleSleep medicine: X2024

Poor sleep quality among bedtime smartphone user medical students in Ethiopia, 2024.

Dereje Esubalew, Amare Mebrat Delie, Liknaw Workie Limenh, Nigus Kassie Worku, Eneyew Talie Fenta, Mickiale Hailu, Alemwork Abie, Molla Getie Mehari, Tenagnework Eseyneh Dagnaw, Mihret Melese

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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.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Dereje EsubalewDepartment of Human Physiology, College of Medicine and Health Sciences, Ambo University, Ambo, Ethiopia.
Amare Mebrat DelieDepartment of Public Health, College of Medicine and Health Sciences, Injibara University, Injibara, Ethiopia.
Liknaw Workie LimenhDepartment of Pharmaceutics, School of Pharmacy, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.
Nigus Kassie WorkuDepartment of public health, college of Medicine and health science, Dire Dawa University, Dire Dawa, Ethiopia.
Eneyew Talie FentaDepartment of Public Health, College of Medicine and Health Sciences, Injibara University, Injibara, Ethiopia.
Mickiale HailuDepartment of midwifery, College of Medicine and health science, Dire Dawa University, Ethiopia.
Alemwork AbieDepartment of Midwifery, College of Medicine and Health Science, Bahir Dar University, Bahir Dar, Ethiopia.
Molla Getie MehariDepartment of Medical Laboratory Science, College of Medicine and Health Sciences, Injibara, Ethiopia.
Tenagnework Eseyneh DagnawDepartment of Public Health, College of Medicine and Health Sciences, Injibara University, Injibara, Ethiopia.
Mihret MeleseDepartment of Human Physiology, School of Medicine, College of Medicine and Health Science, University of Gondar, Gondar, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

EthiopiaMedicinePoor sleep qualityPSQISmart phone

Identifiers

PMID39677974
PMCPMC11638613

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.