Sleep Patterns and Factors Associated with Excessive Daytime Sleepiness in University Students.
- Author:
Hyeryeon YI
1
;
Mee Kyung SHIN
;
Jongsoon WON
Author Information
1. Department of Nursing, Korea Nazarene University, Korea.
- Publication Type:Original Article
- Keywords:
Sleep patterns;
Sleepiness;
Students
- MeSH:
Depression;
Humans;
Logistic Models;
Odds Ratio;
Phenothiazines;
Prevalence;
Surveys and Questionnaires
- From:Journal of Korean Academy of Fundamental Nursing
2012;19(4):425-433
- CountryRepublic of Korea
- Language:Korean
-
Abstract:
PURPOSE: The purpose of this study was to investigate sleep patterns and predictors of excessive daytime sleepiness (EDS) in university students. METHODS: Participants were 120 university students who were attending two universities in S-city and C-city. Data were collected from May 20 to June 15, 2012 using self-report questionnaires which included Johns' Epworth Sleepiness Scale, Yi's Sleep Quality Scale, and Beck Depression Inventory. Data were digitalized and analyzed using frequency, percentages, means and standard deviations, Wilcoxon rank sum test, Chi-square test, Fisher's exact test, and multiple logistic regression with SAS 9.0. RESULTS: Mean total sleep time was 6.6 hours on weekdays, 8.1 hours on weekends. Mean sleep latency was 19.1 minutes and the score for mean sleep quality was 22.6. Prevalence of EDS was 12.5%. Depression was significantly different between EDS and Non-EDS students (t=2.17, p=.030). Multiple logistic regression showed that the only factor associated with EDS was depression (adjusted odds ratio of depression=5.33, 95% Confidence Interval=1.49-19.04). CONCLUSION: Results of this study indicate that university students experience short sleep time, low sleep quality, and common EDS with depression, suggesting that students with complaints of EDS should be completely assessed for depression as well as sleep problems.
