Journal of Sleep Disorders: Treatment and CareISSN: 2325-9639

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Research Article, J Sleep Disor Treat Care Vol: 3 Issue: 1

Daytime Sleepiness, Circadian Preference, Caffeine Consumption and Khat Use among College Students in Ethiopia

Darve Robinson1, Bizu Gelaye1*, Mahlet G Tadesse1,2, Michelle A Williams1, Seblewengel Lemma3 and Yemane Berhane3
1Department of Epidemiology, Multidisciplinary Health International Research Training Program, Harvard School of Public Health, Boston, Massachusetts, USA
2Department of Mathematics and Statistics, Georgetown University, Washington, DC, USA
3Addis Continental Institute of Public Health, Addis Ababa, Ethiopia
Corresponding author : Dr. Bizu Gelaye
Department of Epidemiology, Harvard School of Public Health, 677 Huntington Ave, K501, Boston, MA 02115, USA
Tel: 617-432-6477; Fax: 617-566-7805
E-mail: bgelaye@hsph.harvard.edu
Received: October 30, 2013 Accepted: December 18, 2013 Published: December 20, 2013
Citation: Robinson D, Gelaye B, Tadesse MG, Williams MA, Lemma S, et al. (2014) Daytime Sleepiness, Circadian Preference, Caffeine Consumption and Khat Use among College Students in Ethiopia. J Sleep Disor: Treat Care 3:1. doi:10.4172/2325-9639.1000130

Abstract

Daytime Sleepiness, Circadian Preference, Caffeine Consumption and Khat Use among College Students in Ethiopia

Objectives: To estimate the prevalence of daytime sleepiness and circadian preferences, and to examine the extent to which caffeine consumption and Khat (a herbal stimulant) use are associated with daytime sleepiness and evening chronotype among Ethiopian college students. Methods: A cross-sectional study was conducted among 2,410 college students. A self-administered questionnaire was used to collect information about sleep, behavioral risk factors such as caffeinated beverages, tobacco, alcohol, and Khat consumption. Daytime sleepiness and chronotype were assessed using the Epworth Sleepiness Scale (ESS) and the Horne and Ostberg Morningness/Eveningness Questionnaire (MEQ), respectively. Linear and logistic regression models were used to evaluate associations.

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