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Factors that Predit Levels of Sleepiness of Advanced Practice Nursing Students

  • Deana Shevit Goldin

Student thesis: Doctoral ThesisDoctor of Philosophy

Abstract

Background: Due to arduous demands of graduate education, advanced practice nursing (APN) students who are classified as adult learners are at risk for suffering sleep deprivation. Factors contributing to sleep deprivation include stress, expected academic challenges, and everyday life stressors. Purpose: This study investigated if APN students’ grade-point average (GPA), gender, and employment status predicted levels of daytime sleepiness. Theoretical Framework. The psychological well-being model selected for this study was consistent with the theory that sleep is a resource essential to well-being; adequate sleep is the resource needed to optimally manage stressful life demands. Methods. Bivariate and multiple regression were employed to examine the relationship between GPA, gender, and employment status with daytime sleepiness on a sample of APN students (N = 123) in their second academic year. The Epworth Sleepiness Scale and a demographic questionnaire were used to record data on GPA, gender, and employment status. Results. Results showed ESS and GPA were negatively correlated and statistically significant (r = -.24, p
Date of AwardJan 1 2017
Original languageEnglish
SupervisorRobin Chard (Supervisor)

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