Bedtime Electronic Device Usage and Daytime Sleepiness among Medical Students: A Cross-sectional Study
Published: 2022-10-26
Page: 338- 351
Issue: 2022 - Volume 5 [Issue 2]
Welimahara Sarukkali Patabendige Thejan Mithsara *
Faculty of Medicine, Manipal University College Malaysia, Jalan Batu Hampar, 75150, Bukit Baru, Melaka, Malaysia.
Ashrinpreet Kaur A/P Harbans Singh
Faculty of Medicine, Manipal University College Malaysia, Jalan Batu Hampar, 75150, Bukit Baru, Melaka, Malaysia.
Marcus Lee Tzexun
Faculty of Medicine, Manipal University College Malaysia, Jalan Batu Hampar, 75150, Bukit Baru, Melaka, Malaysia.
Kethesvani Jaya Kumar
Faculty of Medicine, Manipal University College Malaysia, Jalan Batu Hampar, 75150, Bukit Baru, Melaka, Malaysia.
Htoo Htoo Kyaw Soe
Department of Community Medicine, Faculty of Medicine, Manipal University College Malaysia, Jalan Batu Hampar, 75150, Bukit Baru, Melaka, Malaysia.
Soe Moe
Department of Community Medicine, Faculty of Medicine, Manipal University College Malaysia, Jalan Batu Hampar, 75150, Bukit Baru, Melaka, Malaysia.
Htay Lwin
Department of Community Medicine, Faculty of Medicine, Manipal University College Malaysia, Jalan Batu Hampar, 75150, Bukit Baru, Melaka, Malaysia.
Mila Nu Nu Htay
Department of Community Medicine, Faculty of Medicine, Manipal University College Malaysia, Jalan Batu Hampar, 75150, Bukit Baru, Melaka, Malaysia.
*Author to whom correspondence should be addressed.
Abstract
Introduction: In the 21st century, the use of digital devices has become a daily affair. This has led to excessive daytime sleepiness, which is also prevalent among medical students. However, there is a gap in awareness regarding the association between the use of digital devices and their impact on sleep.
Aim: This study aimed to determine the prevalence of daytime sleepiness among medical students and the awareness of the association between daytime sleepiness and the use of digital devices.
Study Design: A cross-sectional analytical study
Methodology: This study was conducted at a private medical university among medical students. Purposive sampling was done to enroll respondents. A questionnaire was distributed online using Google forms to undergraduate students. The data was statistically analysed using Epi Info version 7.2.5.0 the statistical test conducted was the Chi-square test and Fisher’s exact test. The frequency and percentage were then analysed.
Results: A total of 123 students responded to the survey. In this study, 39.84% respondents reported of having excessive daytime sleepiness, with a mean score for the Epworth Sleepiness Scale (ESS) scale at 9.49 (SD ± 3.85). When considering the level of awareness, Chinese ethnicity had a high level of awareness than the other groups of ethnicities. There was no statistically significant association between the demographic characteristics and daytime sleepiness and awareness levels among the respondents.
Conclusion: This study showed that there was a higher prevalence of excessive daytime sleepiness than in other populations. However, most of the respondents did not have a negative impact on their work and social life.
Keywords: Awareness, bedtime electronic device usage, daytime sleepiness