Oral Presentations

Student Author Information

Taylor Jones, University of LynchburgFollow

Location

Sydnor Performance Hall, Schewel Hall

Access Type

Campus Access Only

Entry Number

87

Start Date

4-10-2019 4:00 PM

End Date

4-10-2019 4:15 PM

College

College of Health Sciences

Department

Exercise Physiology

Abstract

Variability in sleep duration has often been correlated with a higher body composition. The purpose of this research study is to examine the relationship between quality of sleep and physiological variables. Physiological variables include body composition, blood pressure, heart rate, and daily activity levels. Sleep quality includes total duration of sleep, total interruptions of sleep, and sleep hygiene. The study design used required a total of 15 participants (Males, N=4; Females, N=11) to have physiological measurements completed on the first visit such as weight, height, blood pressure, heart rate, and % body fat. Percent body fat was measured using a BodPod machine. Each subject then received a randomized FitBit Alta for which they would wear it consecutively for three nights and four days. Upon the second visit, the FitBit Alta was returned and the subject received their BodPod print out with their % body fat measurement. The data collected from each FitBit contained total steps per day and total amount of sleep per night with total interruptions. The results from this study are expected to provide a correlation between sleep quality and physiological variables that were measured.

Faculty Mentor(s)

Dr. Jill Lucas
Dr. Jeffrey Herrick
Dr. Sean Collins
Dr. Thomas Bowman

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Apr 10th, 4:00 PM Apr 10th, 4:15 PM

Impact of Sleep Quality and Quantity on Physiological Variables

Sydnor Performance Hall, Schewel Hall

Variability in sleep duration has often been correlated with a higher body composition. The purpose of this research study is to examine the relationship between quality of sleep and physiological variables. Physiological variables include body composition, blood pressure, heart rate, and daily activity levels. Sleep quality includes total duration of sleep, total interruptions of sleep, and sleep hygiene. The study design used required a total of 15 participants (Males, N=4; Females, N=11) to have physiological measurements completed on the first visit such as weight, height, blood pressure, heart rate, and % body fat. Percent body fat was measured using a BodPod machine. Each subject then received a randomized FitBit Alta for which they would wear it consecutively for three nights and four days. Upon the second visit, the FitBit Alta was returned and the subject received their BodPod print out with their % body fat measurement. The data collected from each FitBit contained total steps per day and total amount of sleep per night with total interruptions. The results from this study are expected to provide a correlation between sleep quality and physiological variables that were measured.