percentage and total sleep time. There was significant increase in thenumber of awakening. 41.7% of the patients had abnormal digitalEEG, 75% had bed time resistance and increased movement duringsleep. 58.6% of the patients had short sleep onset latency.

Conclusion: From the results of the present study ADHD is cer-tainly associated with sleep disturbances, this might be a clue for abetter management and hence a better quality of life.

http://dx.doi.org/10.1016/j.sleep.2013.11.125

Chronotype distribution in bipolar disorder and major depressivedisorder in an in-patient sample at a tertiary care centerR. Auger 1, P. Das 2, H. Cao 2, S. Feeder 2, R. Kashyap 3, M. Frye 2

1 Mayo Clinic College of Medicine, Department of Psychiatry andPsychology, Mayo Center for Sleep Medicine2 Mayo Clinic College of Medicine, Department of Psychiatry andPsychology3 Mayo Clinic College of Medicine, Division of Pulmonary and CriticalCare Medicine

Introduction: Circadian rhythm disturbances have been implicatedin the etiopathogenesis of mood disorders. Chronotype is indicativeof one’s innate circadian preference, and correlates with physiologi-cal measures of circadian phase. A Korean study found a preponder-ance of ‘‘night owls’’ among clinically stable bipolar outpatients andother investigations have shown phase advances among variousphysiologic parameters in patients with major depressive disorder(MDD). This study examined chronotype distribution among inpa-tients with bipolar disorder and MDD. We hypothesized a prepon-derance of ‘‘night owls’’ among bipolar patients and ‘‘early birds’’among MDD patients.

Materials and methods: Adult inpatients with well-establisheddiagnoses of bipolar disorder (type I, II and NOS) and MDD were iden-tified and recruited over a period of 2 years. Patients with cognitiveimpairment, disorganized thinking, and affective instability impair-ing questionnaire completion were excluded as were those <18 yearsof age. Controls without mood disorders were recruited separately.Chronotypes were assessed with the Horne Ostberg Morningness-Eveningness Questionnaire (MEQ). Patients were instructed to reportaccording to their euthymic status. MEQ scores >58 correlate withmorningness (early bird), and <42 correlate with eveningness (nightowl). Scores outside of these ranges indicate neutral chronotypes.

Results: Out of 98 MDD, 98 bipolar patients and 59 controls, therewere 59(60%), 61 (62%) and 47(80%) females [p = 0.03], with median(IQR) age of 45(33–53), 44 (34–52) and 31(26–44) [p < 0.01], respec-tively. Twenty-seven (28%), 24 (25%) and 8 (14%) were evening-types48 (49%), 49 (50 %) and 29 (49%) were neither-types and 23(23%), 25 (26%) and 22 (37%) were morning- types (MDD, bipolar,and controls, respectively), [p = 0.19]. After adjusting for age andgender, the chronotypes continued to have no association with diag-nosis [p = 0.49].

Conclusion: Since there were no differences in baseline chrono-types among inpatients with mood disorders and controls, subjec-tive chronotypes do not serve as reliable markers to differentiatebipolar disorder and MDD. Contrasting results from previous studieswarrant clarification with further investigations. Objective circadianassessments such as the timing of the core body temperature mini-mum and the dim light melatonin onset should also be studied forcorrelations.

Acknowledgements: Dr. Simon Kung, MD.

http://dx.doi.org/10.1016/j.sleep.2013.11.126

Subjective daytime sleepiness, eating disturbances and bodymass index in female studentsA. Arruda 1, M. Marques 2, L. Ferreira 1, B. Maia 3, A. Gomes 4,M. Azevedo 1

1 Faculdade de Medicina, Universidade de Coimbra, Portugal2 Higher Institute of Miguel Torga, Portugal3 Higher Institute of Social Service of Porto, Portugal4 Dep. Sciences of Education, University of Aveiro, Portugal

Introduction: This report describes associations between subjec-tive measures of sleepiness, eating disturbances and body massindex in female university students.

Materials and methods: 520 females (mean = 19.3 years, sd = 1.31),completed a series of questionnaires that assessed eating behaviours(Eating Attitudes Test-25), arousability, coping, emotional expressiv-ity, worry, neuroticism/extraversion, perceived physical/mentalhealth, academic stress, positive/negative affect, pre-sleep arousal(cognitive/somatic), body mass index (BMI; KG/M2) and sleep-wakeaspects including subjective sleep propensity/Epworth SleepinessScale (ESS) and perceived daytime sleepiness (PDS, four items: feelexcessively sleepy during the day, being sleepy during the day is aproblem, feel performance is impaired due to daytime sleepiness,feel the need to nap during the day).

Results: ESS and PDS correlated moderately with each other(r = .415, p < 001). EAT-25 mean score was 24.25 (sd = 14.2). BMImean score was of 20.7 (sd = 2.39; range = 14.5–34.7). 14,7% wereclassified as underweight (BMI < 18.5), 81.8% normal weight (BMIof 18.5–24.9), 2.9% overweight (BMI of 25.0–29), and 0,6 obese(BMI P 30.0). Most students had very/good mental (75.7%) andphysical health (82.7%). Logistic Regression analyses models showedthat perceived daytime sleepiness/PDS (but not sleep propensity/ESS) and self-reported usual sleep duration were independent signif-icant predictors of global eating disturbance (Odds ratio/OR = .57;p = .049). Daytime sleep propensity, perceived daytime sleepiness,and perceived physical health were independent significant predic-tors of high BMI (respectively, OR = 1.58; p = .004; OR = 0.62;p = .046; OR = 0.034; p = .002). Neither subjective sleep quality norusual sleep duration were associated with BMI.

Conclusion: In young females, daytime sleep propensity/perceivedsleepiness and perceived physical health were predictors of higherBMI. Perceived daytime sleepiness and usual sleep duration wereboth predictors of global disordered eating behaviours/attitudes.

http://dx.doi.org/10.1016/j.sleep.2013.11.127

Sleep quality and eating behaviour in female studentsL. Ferreira 1, A. Arruda 1, B. Maia 2, A. Gomes 3, H. Azevedo 1,M. Marques 4

1 Faculdade de Medicina, Universidade de Coimbra, Portugal2 Higher Institute of Social Service of Porto, Portugal3 Dep. Sciences of Education, University of Aveiro, Portugal4 Higher Institute of Miguel Torga, Coimbra, Portugal

Introduction: To study the association between sleep quality/quantity and eating behaviours in female university students.

Materials and methods: 520 females (mean = 19.3 years, sd = 1.31),completed a series of questionnaires that assessed eating behaviours(Eating Attitudes Test-25), sleep-wake aspects, arousability, coping,emotional expressivity, worry, neuroticism/extraversion, perceivedphysical/mental health, academic stress, positive/negative affect,pre-sleep arousal (cognitive/somatic arousal) and Body Mass Index(BMI; KG/M2).

e66 Abstracts / Sleep Medicine 14S (2013) e18–e92