48x36 Poster Template

1
Living Well Do Health Education College Students
Sleep Better? Ben Smith, MS, North Carolina
State University Ellen Smith, MS, Indiana
University Barbara Phillips, MD, MSPH, FCCP,
University of Kentucky .
Methods
Results
Background/Rationale
Results
College students are widely believed to be
sleep-deprived, but students who chose an
elective Health and Wellness course may
self-select healthier behaviors. We sought to
learn about the sleep and health habits of Health
and Wellness students at a major US University
(Indiana University).
Students enrolled in an elective general
education Living Well class in the school of
Health, Physical Education and Recreation were
asked to take a voluntary, anonymous, online
survey about sleep and health behaviors. The
survey was offered during the Fall (2010) and
Spring (2011) semesters. The survey was
announced in class as during a lecture about
healthy sleep. In each semester, the survey was
open and data were collected for about one month.
This project received IRB exemption from
Indiana University and the University of
Kentucky. The website was active to collect data
from October 14-November 13, 2010 and February
2-March 20, 2011. http//li75-152.members.linode
.com/sleepsurvey/
Of a possible 117 students enrolled in both
semesters, 61 students completed the
survey. Demographics (means) Women 70.5 Age
19BMI 23.5Epworth Score 9.1High School GPA
3.7College GPA 3.3 Lifestyle
Characteristics Smokers 6.6 Work (less than 20
hours/week) 39 Sleep
Characteristics

• 39 reported getting 6 or fewer hours of sleep on
  week nights,
• 80 reported getting 7 or fewer hours of sleep
  on week nights.
• 55 slept an hour or longer on weekends compared
  with week nights.
• Most (82) napped at least a few times a week.
• Women were more likely than men to get 7 or more
  hours of sleep a night (plt0.01)
• Both high school and college GPAs were
  negatively correlated with BMI (the higher the
  BMI the lower the GPA plt0.00001 and, plt0.05,
  respectively).
• Epworth Sleepiness Score was positively
  associated with having been the driver in a car
  accident (plt0.03), and students with Epworth
  scores gt 10 were about 3 times as likely to
  report having had a crash in which they were the
  driver.
• Age was positively associated with BMI the
  older the student, the higher the BMI
  (plt0.0000001)
• BMI was positively correlated with Epworth score
  (plt0.05).
• Heavy nappers ( gt3 hours per week) were
  slightly morelikely to have been a driver in a
  car accident plt0.10) and wereon average a year
  younger than those who napped less.
• There were no differences in reported crash,
  exercise, napping, age, GPA or BMI for students
  who reported sleeping 7 or more or 8 or more
  hours of sleep than for those who reported
  sleepiness less.

Online Survey
Aims and Hypotheses

• Aims
• To assess sleep behaviors of college students in
  a Health and Wellness Class
• To correlate sleep behaviors with other lifestyle
  and health factors.
• Hypotheses
• College students in a Health and Wellness Class
  will have healthier sleep habits than their
  peers.
• Good sleep behaviors will correlate with good
  health and lifestyle behaviors.

Data Analysis
Conclusions

• In this small, homogenous group of college
  students
• Both napping and make-up sleep were prevalent
• Sleep duration did not correlate with other
  health behaviors or with GPA
• Heavier students had lower GPAs and higher
  Epworth Sleepiness Scores, even though most
  students were of normal weight.
• Higher Epworth Sleepiness Scores (ESS) were
  associated with self-reported crash in college
  students. Although ESS has been shown to predict
  crash in several populations, we believe this is
  a new finding in college students.
• Despite being enrolled in a health and wellness
  course emphasizing physical activity, this small
  homogeneous group of students
• did not appear to have healthier
• sleep habits than historical
• controls.

.

• We performed our statistical analyses using the R
  statistical package v2.9.2. http//www.r-project.o
  rg.
• Some data in the form were corrupt students
  sometimes gave nonsensical answers in the
  text-based inputs. We cleaned the dataset to
  address these issues.
• Fishers Exact Test and other odds ratio
  statistics calculated using the Epitools R
  package.
• Indicator variables were created for drinkers,
  heavy drinkers, and students who didnt nap.