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

Journal: Sleep medicine: X

Volume: 8

Issue: 

Year of Publication: 

Affiliated Institutions:  Department of Human Physiology, College of Medicine and Health Sciences, Ambo University, Ambo, Ethiopia. Department of Public Health, College of Medicine and Health Sciences, Injibara University, Injibara, Ethiopia. Department of Pharmaceutics, School of Pharmacy, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia. Department of public health, college of Medicine and health science, Dire Dawa University, Dire Dawa, Ethiopia. Department of midwifery, College of Medicine and health science, Dire Dawa University, Ethiopia. Department of Midwifery, College of Medicine and Health Science, Bahir Dar University, Bahir Dar, Ethiopia. Department of Medical Laboratory Science, College of Medicine and Health Sciences, Injibara, Ethiopia. Department of Human Physiology, School of Medicine, College of Medicine and Health Science, University of Gondar, Gondar, Ethiopia.

Abstract summary 

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.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.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 %).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.

Authors & Co-authors:  Esubalew Dereje D Delie Amare Mebrat AM Limenh Liknaw Workie LW Worku Nigus Kassie NK Fenta Eneyew Talie ET Hailu Mickiale M Abie Alemwork A Mehari Molla Getie MG Dagnaw Tenagnework Eseyneh TE Melese Mihret M

Study Outcome 

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Statistics
Citations :  Buysse D. The Pittsburgh Sleep Quality Index: a new instrument for psychiatric practice and research. Psychiatry. 2003;18:498.
Authors :  10
Identifiers
Doi : 100134
SSN : 2590-1427
Study Population
Male,Female
Mesh Terms
Other Terms
Ethiopia;Medicine;PSQI;Poor sleep quality;Smart phone
Study Design
Cross Sectional Study
Study Approach
Country of Study
Ethiopia
Publication Country
Netherlands