1. Eveningness, Insomnia, and Delayed Sleep Phase Syndrome in University Students Kendra Clay College of Arts & Sciences, Honors College Faculty Mentor: Daniel Taylor, Ph.D. Psychology Department, College of Arts & Sciences

2. Morningness & Eveningness The Morningess/Eveningness Questionaire (MEQ) is intended to classify people along a scale of morningness/eveningness in circadian rhythms (Anderson et al., 1991). Evidence suggests that eveningness is associated with moodiness, emotional problems, and decreased academic performance (Medeiros et al., 2001; Gau et al., 2007).

3. Insomnia Insomnia is characterized by difficulty falling asleep, maintaining sleep, or a frequent feeling of nonrestorative sleep (Brown, 2006). Severe/chronic insomnia affects around 10% of the general population – ~ 30% of the population complains of occasional insomnia symptoms (Brown, 2006).

4. Delayed Sleep Phase Syndrome Delayed Sleep Phase Syndrome (DSPS) is a circadian rhythm disorder which shifts the sleep- wake cycle significantly later than what is socially acceptable (Dagan et al., 2006; Herman, 2006). The prevalence of DSPS in the general population is unknown, but it is estimated to affect 7%-16% of young adults (Dagan et al., 2006).

5. Potential of Misdiagnosis Because DSPS and insomnia share the characteristic of difficulty falling asleep, it is possible that the two may sometimes be misdiagnosed. What may appear to be insomnia could in fact be a combination of DSPS and environmental factors (i.e. early morning class times).

6. Hypotheses Evening types will score worse than morning types on GPA and other measures of daytime functioning. A significant percentage of those students with self- reported insomnia will actually have DSPS. Daytime functioning will be the lowest in subjects with DSPS, then higher in subjects with insomnia, and highest in those subjects without a diagnosable sleep problem.

7. Method Cross-sectional survey of UNT students (N = 824) aged 18-26, conducted in Fall 2006 and Spring 2007.

8. Method Survey contained many inventories, including: – Measures of Independent Variables: Morningness/Eveningness Questionaire (MEQ) Sleep Diaries Health Survey – Measures of Dependent Variables: Quick Inventory of Depressive Symptomatology – self report (QIDS) State-Trait Anxiety Inventory (STAI) Alcohol Use Disorders Identification Test (AUDIT) Brief COPE Perceived Stress Scale (PSS) Marijuana Problem Scale (MPS)

9. Method – Operational Definitions Insomnia - Participants self-reported insomnia in the Health Survey. DSPS - Classification as a subject with DSPS required a self-reported bedtime between 2-6 am. – Bedtime data obtained from the Sleep Diary.

10. Analyses Polynomial Regression Analyses between the MEQ and dependent variables. Frequency analysis to determine the prevalence rate of DSPS in subjects with self-reported insomnia. Chi-square goodness of fit (DSPS vs. DSPS + Insomnia), with equivalence assumed. Multivariate Analysis of Variance to determine if levels of daytime functioning differ between groups – Normal vs. DSPS vs. Insomnia vs. DSPS + Insomnia

11. MEQ Analyses Results MEQ – Linear relationship with MPS (p =.032) – Cubic relationship with AUDIT (p <.001 ) Cumulative GPA (p <.001) – All other variables NS

12. Insomnia vs. DSPS Frequency Analysis – 28% (n = 229) report insomnia – 26% (n = 203) report DSPS bedtime How many people with insomnia report DSPS? – Total insomnia n = 229 64% (n = 147) have insomnia only 36% (n = 82) report DSPS as well –  2 = 6589.78, p <.001

14. Univariate Analyses p <.001 p =.008 p =.012 p =.037 p =.006 p =.009 p =.035 p =.015

15. Conclusions Eveningness predicts poorer academic performance in college students. 28% of subjects self-report insomnia. – Of those, 36% report DSPS bedtimes as well. Subjects with DSPS, insomnia, or both perform differently on measures of daytime functioning and academic performance than those without a sleep problem. – Differences vary between measures In general subjects with DSPS only performed worse, except on QOL. – More research is needed on QOL discrepancy.

16. References Anderson, M.J., Petros, T.V., Beckwith, B.E., Mitchell, W.W., & Fritz, S. (1991). Individual differences in the effect of time of day on long-term memory access. The American Journal of Psychology, 104(2), 241-255. Brown, W. D. (2006). Insomnia: Prevalence and daytime consequences. In T. Lee- Chiong (Ed.), Sleep: A comprehensive handbook (p. 93-98). Hoboken, NJ: John Wiley & Sons, Inc. Gau, S. S-F., Shang, C.-Y., Merikangas, K. R., Chiu, Y.-N., Soong, W.-T., & Chengm A. T.-A. (2007). Association between morningness-eveningness and behavioral/emotional problems among adolescents. Journal of Biological Rhythms, 22(3), 268-274. Medeiros, A. L. D., Mendes, D. B. F., Lima, P. F., Araujo, J. F. (2001). The relationships between sleep-wake cycle and academic performance in medical students. Biological Rhythm Research, 32 (2), 263-270. Dagan, Y., Borodkin, K., & Ayalon, L. (2006). Advanced, delayed, irregular, and free-running sleep-wake disorders. In T. Lee-Chiong (Ed.), Sleep: A comprehensive handbook (p. 383-388). Hoboken, NJ: John Wiley & Sons, Inc. Herman, J. H. (2006). Circadian rhythms disorders in infants, children, and adolescents. In T. Lee-Chiong (Ed.), Sleep: A comprehensive handbook (p. 589-595). Hoboken, NJ: John Wiley & Sons, Inc.

17. Acknowledgements Dr. Daniel Taylor, Assistant Professor, Department of Psychology, College of Arts & Sciences Dr. Warren Burggren, Dean, College of Arts & Sciences Dr. Gloria Cox, Dean, Honors College Dr. Susan Eve, Associate Dean, Honors College