S66 Abstracts of 4th International Congress of WASM & 5th Conference of CSS / Sleep Medicine 12, Suppl. 1 (2011) S1–S130 11.4/hr). Another 10 had periodic limb movement during sleep (mean total index, 35.1/hr) and others had no specific findings on night polysomnogra- phy except higher arousal index (mean 15.3/hr). After CBT sessions, mean global insomnia symptoms was significantly improved (16.5 ->10.6) (p < 0.001). Patients achieved a mean 51% decrease in sleep latency (0.84 -> 0.4 hr), a mean 35% reduction in WASO (1.48->0.95 hr), and increased sleep efficiency (70.0->85.1%) (p < 0.05). Total sleep time (4.8 ->6.5 hr) and number of awakening (1.8->1.2) showed a trend towards an improvement after CBT-i session. Conclusion: CBT-i for insomnia produced significant improvements across the majority of sleep outcome measures, which suggested that CBT-i for insomnia was effective for the treatment of primary or secondary chronic insomniacs in Korea. T-D-030 THE RELIABILITY AND VALIDITY OF THE JAPANESE VERSION OF ATHENS INSOMNIA SCALE Isa Okajima 1 , Shun Nakajima 2 , Mina Kobayashi 1 , Yuichi Inoue 2 . 1 Japan Somnology Center, Neuropsychiatric Research Institute, Japan; 2 Tokyo Medical University, Japan Introduction and Objectives: The Athens Insomnia Scale (AIS) was devel- oped as a brief self-assessment questionnaire for the evaluation of the severity of insomnia, and has been confirmed to have highly reliability and validity. However, the reliability and validity of the Japanese version of AIS (AIS-J) has not been examined. This study aims to confirm the internal consistency and factorial, convergent, and diagnostic validity of the AIS-J. Materials and Methods: One hundred and seventy nine insomniacs who met the insomnia criteria of the ICSD-2 and 160 healthy control subjects having less than 30-min of sleep onset latency and/or wake after sleep onset were enrolled. At the first visit to the outpatient clinic of the Japan Somnology Center, participants completed the following self-rating scales of insomnia; the AIS-J, the Pittsburgh Sleep Quality Index (PSQI), Insomnia Severity Index (ISI), and Dysfunctional Beliefs and Attitudes about Sleep Questionnaire (DBAS). Results: Results of exploratory factor analysis showed that the AIS-J has a one factor structure. The Cronbach’s alpha was high in both group (insomnia: 0.70, healthy: 0.70). The correlation analysis showed that the AIS-J showed significantly positive correlation with the PSQI (insomnia: r = 0.57, healthy: r = 0.64), ISI (insomnia: r = 0.26, healthy: r = 0.70), and DBAS (insomnia: r = 0.47, healthy: r = 0.21) in both groups. A result of the ROC curve showed that individuals having 7 points or more of the AIS-J score were highly likely to be positive for insomnia (AUC = 0.99, sensitivity: 0.94, specificity: 0.95, positive likelihood ratio: 17.78, negative likelihood ratio: 0.06). Conclusion: It was revealed that the AIS-J has high reliability and validity, and that the AIS-J can be utilized not only as an instrument to measure the severity of sleep-related problems but also as a screening tool for the diagnosis of insomnia. T-D-031 THREE ITEMS PREDICT INSOMNIA DIAGNOSIS Dorrie Rizzo, Sally Bailes, Catherine S. Fichten, Laura Creti, Eva Libman. Jewish General Hospital, Canada Introduction and Objectives: The goal was to validate the Insomnia Sub- scale of the Sleep Symptom Checklist (SSC) as a proxy for research diagnostic criteria for insomnia (i.e. ≥ 31 minutes undesired wake time,≥3 nights/week, ≥6 months). Materials and Methods: 108 adults (52 females, 56 males, aged 28 - 84 (M = 57, SD = 13) were recruited from primary care. While waiting to see their doctor, participants completed the SSC, an 18-item screening instrument which includes 3 subscales: Sleep Disorder, Daytime Distress, Insomnia. The insomnia subscale is comprised of: 1) Waking up and trouble getting back to sleep; 2) Insomnia; 3) Trouble falling asleep; 4) Poor sleep quality; 5) Waking up too early in the morning; 6) Waking often to urinate; and 7) Daytime sleepiness. Participants rate each symptom from 0 (not severe) to 3 (very severe). Participants also completed a Sleep Questionnaire: a brief retrospective measure that inquires about usual sleep experiences during the past typical month. This allows us to diagnose the presence of insomnia according to research criteria. Results: A stepwise discriminant function analysis was carried out to predict Insomnia Diagnosis Yes/No from all 7 items from the SSC Insomnia Subscale. The following predictor variables: Insomnia, Trouble falling asleep, and Waking up and trouble getting back to sleep, discriminated between the In- somnia/No Insomnia groups at the 0.0001 level with a canonical correlation of 0.603, accounting for 100% of the variance. Classification accuracy for the two insomnia groups was 78.7% overall, with the Insomnia group at 70% and the No Insomnia group at 82.1% accuracy. Conclusion: The SSC is validated for screening for sleep disorders in primary care. Here we show that 3 items from the Insomnia subscale can be used as a proxy, with significant accuracy, for diagnosis of insomnia according to accepted research criteria. Acknowledgements: This project is funded by the Canadian Institutes of Health Research. T-D-032 TREATMENT OF MIDDLE-OF-THE-NIGHT INSOMNIA: CURRENT MEDICAL PRACTICE Thomas Roth 1 , Denise Cooke 2 , Nikhilesh N. Singh 2 . 1 Henry Ford Hospital, United States; 2 Transcept Pharmaceuticals, Inc., United States Introduction and Objectives: Epidemiological studies indicate that middle- of-the-night (MOTN) awakening with difficulty resuming sleep affects 15% of the U.S. population, and about 16% of these patients seek medical attention. The purpose of this study was to assess current therapeutic practices, given the absence of FDA approved drugs for the treatment of MOTN awakenings. Materials and Methods: 178 physicians (45 psychiatrists/133 primary care [PCP]) each provided data for 4 general insomnia patients and 1 patient specifically with MOTN insomnia, all on a hypnotic prescription currently, or within the last 3 months. This yielded a total of 712 (178x4) general insomnia records (62 with MOTN insomnia) and 178 MOTN records for analysis. Results: On average, psychiatrists and PCPs were treating similar numbers of insomnia patients (approximately 137/month), issuing a similar number of prescriptions (approximately 133/month), and directing use of MOTN dosing at a similar rate (5%). 14% of MOTN-identified patients and 5% of the general insomnia patients were instructed to dose in the middle of the night. A variety of hypnotic drugs were prescribed for off-label use as an MOTN therapy, 61% of which were zolpidem and eszopiclone, which are approved for at-bedtime use. Importantly, 78% of MOTN patients did not experience MOTN awakenings every night of the week and the less frequent the MOTN awakenings, the more likely physicians were to instruct patients to dose at the time of awakening rather than at bedtime. Conclusion: Physicians are treating MOTN insomnia with medications in- dicated for use at bedtime. Given that currently available hypnotics are frequently prescribed off label with no data on dose-related safety and efficacy for MOTN use, there is a clear need for medications that are safe and effective when used prn for MOTN insomnia. Acknowledgements: Funded by Transcept Pharmaceuticals, Inc., Pt. Rich- mond, CA. T-D-033 WHAT ARE YOU LOOKING AT? MOVING AWAY FROM SNAPSHOTS OF ATTENTION IN INSOMNIA: A NOVEL EYE TRACKING STUDY Heather Cleland Woods, Kerry Ann Ross, Christoph Scheepers, Stephany M. Biello, Colin A. Espie. School of Psychology, United Kingdom Introduction and Objectives: Research has documented that individuals with insomnia selectively attend to sleep stimuli compared to good sleep- ers (Marchettti et al 2006, MacMahon et al 2006, Woods et al 2009, Spiegelhalder et al 2010). The objective of the current study was to estab- lish a timeline of approach and avoidance to sleep words using a novel methodology in insomnia research, eye tracking. Materials and Methods: A sleep positive, sleep negative or neutral word (Marchetti et al, 2006) was presented simultaneously with a pseudoword to insomnia and good sleeper groups. Recordings were made using an Eyelink II (SR Research, Ontario, Canada) eye-tracking system set at 500Hz. Results: On all parameters measured, significant differences (p<0.05) were found between insomnia and good sleepers: onset of gaze began later F(1,8654) = 8.32, p<0.005, speed of processing was slower F(1,39)=5.0, p<0.05 and interpretation strength was poorer F(1,39)=4.6, p<0.05 in those with insomnia suggesting poorer vigilance. Duration of first fixation on the target word was shorter F(1,3167) = 75.8, p<0.005 and time to home in on View publication stats View publication stats Rizzo, D., Bailes, S., Fichten, C., Creti, L., & Libman, E. (2011). Three items predict insomnia diagnosis. T-D-031. Sleep Medicine, 12 (Supplement 1), Page S66. doi:10.1016/ S1389-9457(11)70244-1. Retrieved from http://www.sleep-journal.com/article/ S1389-9457(11)70244-1/abstract