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

Q1 Medicine Sleep Medicine: X Pub Date : 2024-11-22 DOI:10.1016/j.sleepx.2024.100134
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
{"title":"Poor sleep quality among bedtime smartphone user medical students in Ethiopia, 2024","authors":"Dereje Esubalew ,&nbsp;Amare Mebrat Delie ,&nbsp;Liknaw Workie Limenh ,&nbsp;Nigus Kassie Worku ,&nbsp;Eneyew Talie Fenta ,&nbsp;Mickiale Hailu ,&nbsp;Alemwork Abie ,&nbsp;Molla Getie Mehari ,&nbsp;Tenagnework Eseyneh Dagnaw ,&nbsp;Mihret Melese","doi":"10.1016/j.sleepx.2024.100134","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><div>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.</div></div><div><h3>Subject and methods</h3><div>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.</div></div><div><h3>Result</h3><div>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 %).</div></div><div><h3>Conclusion</h3><div>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.</div></div>","PeriodicalId":37065,"journal":{"name":"Sleep Medicine: X","volume":"8 ","pages":"Article 100134"},"PeriodicalIF":0.0000,"publicationDate":"2024-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Sleep Medicine: X","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2590142724000326","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Medicine","Score":null,"Total":0}
引用次数: 0

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.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
埃塞俄比亚睡前使用智能手机的医学生睡眠质量差,2024 年
背景智能手机的使用已经变得非常普遍,而且还在继续快速增长。医学生本来就很容易睡眠不足,使用智能手机(尤其是在睡前使用)可能会加剧他们的睡眠问题。因此,了解这种行为的潜在负面影响至关重要。本研究旨在评估埃塞俄比亚医科学生睡前使用智能手机的普遍程度和睡眠质量的风险因素。研究对象和方法采用基于院校的横断面研究设计,通过简单随机抽样从德布雷马尔科大学、贡德尔大学和德布雷贝汉大学选取了354名本科医科学生。采用匹兹堡睡眠质量指数和结构化访谈收集数据。在二变量回归中P值≤0.2的变量被纳入多变量逻辑回归。计算粗略的几率比例和调整后的几率比例,同时使用卡方检验来评估假设。结果结果显示,在睡前使用智能手机的人群中,67.52%的人睡眠质量差指数大于5。睡眠质量差与性别、经常喝咖啡、使用智能手机的目的、使用手机时的姿势、使用智能手机的时间长短以及疾病史等因素有明显关系。社交媒体使用是最常见的活动,占智能手机使用量的 41.60%,其次是观看视频(21.65%)。鉴于这些发现,强烈建议医学生减少睡前使用智能手机,以提高睡眠质量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Sleep Medicine: X
Sleep Medicine: X Medicine-Medicine (all)
CiteScore
4.00
自引率
0.00%
发文量
17
审稿时长
25 weeks
期刊最新文献
Determinants of variations in sleep patterns across Brazil: Exploring geographic influences. Comparative efficacy of sodium oxybate versus placebo on improvement of nighttime sleep in adult patients with narcolepsy: A systematic review and meta-analysis. Poor sleep quality among bedtime smartphone user medical students in Ethiopia, 2024 Sleep quality and associated factors in adults living in the southern Brazil: A population-based study Feasibility and acceptability of switching from a previous-generation to a new-generation mask for positive airway pressure therapy of sleep apnea using remote care
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1